LI Ma | Computer Science | Best Researcher Award

Published on by Research Scientist

Prof. LI Ma | Computer Science | Best Researcher Award

Professor at North China University of Technology Beijing, China

Prof. Li Ma  is a distinguished Professor and Dean of the School of Information Science at North China University of Technology, Beijing.  He also serves as a Doctoral Supervisor at Beijing University of Technology. With over three decades of academic and research contributions, Prof. Ma has authored and co-authored more than  journal and conference papers.  His scholarly journey began with a B.S. degree from Beijing Institute of Technology , followed by an M.S. from North University of China , and a Ph.D. from Beijing Institute of Technology . His research spans artificial intelligence, advanced computing, and physical oceanography, integrating interdisciplinary approaches to solve complex challenges.  A recognized leader, he is a Distinguished Member of the China Computer Federation (CCF), and an active member of IoT committees, IEEE-CS, and ACM. Prof. Ma continues to guide innovation while mentoring the next generation of researchers.

Professional Profile

Scopus Profile

Education 

Prof. Li Ma academic foundation is built upon rigorous training at prestigious Chinese institutions.  He earned his B.S. degree from Beijing Institute of Technology, one of China’s leading centers for science and engineering education.  He then pursued his M.S. degree at North University of China, Shaanxi, where he further specialized in computational and information sciences. With a growing passion for advancing artificial intelligence and computing technologies, he returned to Beijing Institute of Technology for doctoral studies, successfully completing his Ph.D. During his doctoral journey, he focused on exploring advanced models and algorithms, setting the stage for his prolific academic career. This educational pathway provided him with a strong balance of theoretical expertise and applied research training, enabling him to later contribute significantly to AI, computational sciences, and interdisciplinary applications in fields such as physical oceanography.

Experience 

Prof. Li Ma professional journey reflects leadership in both academia and research.  Currently, he serves as Professor and Dean of the School of Information Science at North China University of Technology, Beijing, where he oversees academic development, curriculum innovation, and interdisciplinary research.  Additionally, he holds the position of Doctoral Supervisor at Beijing University of Technology, mentoring Ph.D. candidates and guiding cutting-edge projects in artificial intelligence and advanced computing.  His contributions extend beyond teaching and supervision he has authored over research papers, shaping knowledge in AI algorithms, model optimization, and computational sciences.  As an influential figure, he also leads academic innovation teams across Beijing municipal universities, fostering collaborative networks.  Beyond his institutional roles, he actively participates in professional societies such as CCF, IEEE-CS, and ACM, strengthening global research ties. With decades of experience, Prof. Ma continues to bridge science, technology, and education for future advancements.

Research Interest 

Prof. Li Ma research interests are diverse and interdisciplinary, bridging computer science with applied fields.  His core expertise lies in artificial intelligence technology, particularly in developing robust models that enhance accuracy, allocation algorithms, attention mechanisms, and bounding box optimization.  He also explores deep learning applications, focusing on classification head architectures, loss functions, and anchor boxes within image recognition systems, including real-world datasets like COCO.  Another dimension of his research extends to complex computational dependencies and buffer space optimization, enhancing the efficiency of AI-driven systems.  Uniquely, Prof. Ma also applies computational models to physical oceanography, integrating AI with environmental and marine sciences. This interdisciplinary approach highlights his vision of combining data science, machine learning, and computational modeling to solve critical problems across science and technology. His work reflects innovation at the crossroads of advanced computing, AI research, and environmental applications.

Award and Honor

Prof. Li Ma has earned recognition as a leading scholar and academic leader.  He is a Distinguished Member of the China Computer Federation (CCF), a prestigious acknowledgment of his contributions to computer science research and development in China. He is also an active member of IEEE Computer Society and ACM, which reflects his international engagement and commitment to advancing global standards in computing and AI.  Beyond memberships, Prof. Ma leads an Academic Innovation Team supported by Beijing Municipal Colleges and Universities, showcasing his leadership in fostering research excellence and interdisciplinary collaboration.  His roles as Dean and Doctoral Supervisor further illustrate the trust placed in him to shape future researchers and contribute to academic policy.  While specific individual awards were not listed in the available record, his professional honors demonstrate recognition at both national and international levels in AI, computing, and interdisciplinary science.

Research Skill

Prof. Li Ma possesses a broad range of advanced research skills that position him at the forefront of computer science and AI.  His expertise includes algorithm design and optimization, focusing on allocation methods, classification models, and bounding box refinement for image recognition tasks. He has strong command over deep learning frameworks, applying attention mechanisms, anchor boxes, and classification head models to improve accuracy and system performance. Additionally, his skills in large-scale dataset utilization (e.g., COCO dataset) enable him to test, validate, and refine machine learning models effectively.  His computational skills extend into buffer space optimization and handling complex dependencies, key for enhancing efficiency in AI-driven environments. Beyond technical areas, he demonstrates leadership in interdisciplinary applications, especially in using AI for physical oceanography and environmental modeling. These skills, combined with over publications, reflect his ability to merge theory with impactful real-world applications.

Publication Top Notes

Title: FedECP: Enhancing global collaboration and local personalization for personalized federated learning
Journal: Knowledge Based Systems
Year: 2025

Title: A verifiable EVM-based cross-language smart contract implementation scheme for matrix calculation
Journal: Digital Communications and Networks
Year: 2025

Title: Construction of Low-latency Artificial Intelligence of Things for Marine Meteorological Forecasting
Journal: Tien Tzu Hsueh Pao Acta Electronica Sinica
Year: 2025

Title: Blockchain-Based Trust Model for Inter-Domain Routing
Journal: Computers Materials and Continua
Year: 2025

Title: Multivariate Short-Term Marine Meteorological Prediction Model
Journal: IEEE Transactions on Geoscience and Remote Sensing
Year: 2025

Title: A trusted IoT data sharing method based on secure multi-party computation
Journal: Journal of Cloud Computing
Year: 2024

Title: Obstacle Avoidance Method Using DQN to Classify Obstacles in Unmanned Driving
Journal: Jisuanji Gongcheng (Computer Engineering)
Year: 2024

Title: A quantum artificial bee colony algorithm based on quantum walk for the 0-1 knapsack problem
Journal: Physica Scripta
Year: 2024

Title: MIMA: Multi-Feature Interaction Meta-Path Aggregation Heterogeneous Graph Neural Network for Recommendations
Journal: Future Internet
Year: 2024

Conclusion

Prof. Li Ma is an accomplished scholar in computer science, artificial intelligence, and computational technologies, currently serving as Dean of the School of Information Science at North China University of Technology and Doctoral Supervisor at Beijing University of Technology. With over  publications and  citations, his research contributions span AI model optimization, federated learning, blockchain systems, IoT, marine meteorological forecasting, and quantum-inspired algorithms.

Tagne Takote Brice Clausel | solar cooling systems | Excellence in Innovation

Published on by Research Scientist

Dr. Tagne Takote Brice Clausel | solar cooling systems | Excellence in Innovation

Researcher at University of Nigeria Nsukka, Nigeria

This Researcher accomplished renewable energy researcher holds a Master of Engineering and a Ph.D. from the World Bank Africa Centre of Excellence for Sustainable Power and Energy Development (ACE-SPED), University of Nigeria, Nsukka . With over four years of dedicated research experience, they have authored nine high-impact publications on sustainable and advanced cooling technologies . Their doctoral work focused on developing an innovative solar-driven adsorption chiller integrated with encapsulated phase change material thermal storage  a solution addressing the mismatch between day and night cooling demands. This pioneering technology supports energy efficiency, reduces CO₂ emissions , and provides vital cooling solutions for heat-vulnerable regions. Beyond academia, they have contributed to solar energy system design, led engineering teams and implemented large-scale renewable projects across Cameroon. Their career blends hands-on engineering, advanced modelling, and sustainability-driven innovation, making them a leader in climate-conscious thermal systems.

Professional Profile

ORCID Profile | Scopus Profile

Education

The researcher’s educational journey reflects a strong commitment to renewable energy innovation . They earned a Ph.D. in Renewable Energy and New Energy Systems  from ACE-SPED, University of Nigeria, Nsukka , supported by a competitive World Bank scholarship. Their doctoral studies specialized in experimental and thermodynamic modelling of solar-driven adsorption chillers integrated with phase change materials for thermal storage . Prior to this, they completed a Master of Engineering in Renewable Energy  from the University of Buea, Higher Technical Teacher’s Training College (HTTTC) Kumba, Cameroon . They also hold an earlier Master of Engineering in Renewable Energy  from the same institution, establishing a solid academic foundation in solar thermal systems, energy storage, and advanced thermodynamics . This strong educational background combines theoretical depth with practical applications, empowering them to address climate challenges through sustainable energy solutions .

Experience

As a doctoral researcher at  they designed and fabricated a  adsorption chiller, paraffin wax PCM storage, and advanced solar thermal systems. They have served as a Cameroon government teacher in Renewable Energy , mentoring future engineers. Professionally, they have worked as a part-time designer and team lead engineer at Tagus Drone Company  , leading solar system deployments for residential and industrial applications. Notable achievements include electrifying a  exhibition stand at Cameroon’s Promote  fair and developing portable solar kits for rural communities . Their experience blends hands-on fabrication, system modelling, and field deployment, showcasing their ability to lead cross-functional teams, deliver sustainable solutions, and bridge academic research with real-world impact .

 Research Interest

This researcher’s work lies at the intersection of renewable energy systems, thermal energy storage, and climate-responsive engineering . They focus on solar-driven adsorption cooling technologies , aiming to enhance energy efficiency and reduce greenhouse gas emissions. A core area of interest is integrating phase change materials (PCM) into thermal storage systems to balance day-night operational mismatches . They are passionate about thermodynamic modelling, multiphase heat and mass transfer analysis, and computational fluid dynamics for optimizing system performance . Broader research themes include solar thermal applications, HVAC energy optimization, biomass energy systems, and environmental impact assessment . Their vision aligns with Sustainable Development Goals (SDGs), particularly climate action, affordable clean energy, and sustainable cities . By merging experimental design with simulation tools, they aim to create scalable, low-carbon solutions for heat-vulnerable populations and industrial cooling demands .

Award and Honor

This renewable energy innovator has earned recognition through competitive scholarships and high-impact achievements . Their Ph.D. scholarship from the World Bank’s  reflects academic excellence and research potential in sustainable power and energy development. They have presented groundbreaking work at international conferences, including the West Africa Centres of Excellence on Energy Network (WACEENET) and the Sustainable Engineering and Industrial Technology Conference . Their innovative solar-driven adsorption chiller design and fabrication projects have been highlighted in peer-reviewed journals . Professionally, they have been entrusted with leading large-scale solar energy installations and high-profile projects, such as the GIZ exhibition stand electrification . These honors and responsibilities showcase their technical expertise, leadership skills, and commitment to climate-focused engineering. Each milestone reflects their role as both a researcher and a practitioner shaping the future of sustainable energy systems .

Research Skill

This expert possesses a diverse and advanced skill set in renewable energy engineering . They excel in multiphase heat and mass transfer analysis, fluid dynamics control, and computational modelling . Skilled in thermodynamic cycle evaluation, solid-state physics, and component-level electronics design, they can integrate mechanical, thermal, and electrical systems for optimal performance . Their capabilities extend to solar thermal system design, biomass energy conversion, and thermal energy storage technologies, including PCM and sensible heat systems . Proficient in multi-physics simulation, CAD-based mechanical design, and emerging fields like machine learning for predictive maintenance, they bridge traditional engineering with digital innovation . Additionally, they bring expertise in energy policy analysis, environmental impact assessments, and techno-economic evaluations . This rare combination of theoretical knowledge, experimental skill, and system-level integration enables them to tackle complex energy challenges across academic, industrial, and community settings .

Publication Top Notes

Title: Experimental Validation of Flow Regulation in an Innovative Adsorption Chiller with EPCM Thermal Energy Storage
Journal: Results in Engineering
Authors: Onyekwere Ojike; Tagne Takote Brice Clausel; Cosmas Anyanwu; Mkpamdi Eke; Fidelis Abam
Year: 2025
DOI: 10.1016/j.rineng.2025.106706

Title: Performance Analysis of Control Valves for a Novel Adsorption Chiller with Thermal Energy Storage
Journal: Case Studies in Thermal Engineering
Authors: Tagne Takote Brice Clausel; Cosmas Anyanwu; Mkpamdi Eke; Charity Mokom
Year: 2025
DOI: 10.1016/j.csite.2025.106015

Conclusion

Dr. Tagne Takote Brice Clausel make significant contributions to the advancement of solar-driven adsorption cooling systems integrated with thermal energy storage. The first paper experimentally validates a novel flow regulation approach in an adsorption chiller with encapsulated phase change material (EPCM), demonstrating improved operational stability and energy efficiency. The second paper analyzes control valve performance, revealing optimization strategies that enhance system responsiveness and cooling capacity. Together, these works provide a strong experimental and analytical foundation for designing low-carbon, high-efficiency cooling technologies suitable for deployment in heat-vulnerable regions. They not only address the day–night energy mismatch challenge but also align with global climate action goals, paving the way for scalable and sustainable refrigeration solutions in both residential and industrial contexts.

Yaling Sun | Electrical Engineering | Best Researcher Award

Published on by Research Scientist

Dr. Yaling Sun | Electrical Engineering | Best Researcher Award

PhD at Tianjin University, China

Dr. Yaling Sun , Shandong Province , is an emerging researcher in integrated energy systems and energy trading . She is currently pursuing her PhD in Electrical Engineering at Tianjin University , one of China’s top double first-class universities. With first-author publications, multiple collaborative papers, patents, and software copyrights , she actively contributes to the advancement of renewable energy and smart grid technologies . Her research blends mathematical modeling, game theory, and technical economic optimization to enhance system efficiency and sustainability. Professionally, she has worked as a Solutions Engineer at Beijing Hyper strong Engineering Technology Co., Ltd, delivering comprehensive energy storage solutions for traditional and renewable power systems . She has also participated in numerous national and industrial projects, from offshore wind farm topology design  to integrated energy system planning . Recognized with national awards  and academic scholarships , she aims to shape a greener, smarter energy future.

Professional Profile

ORCID Profile

Education 

Dr. Yaling Sun academic journey reflects versatility and ambition . She is currently  pursuing her PhD in Electrical Engineering at Tianjin University , a double first-class university and member of China’s prestigious  projects . Her doctoral research focuses on integrated energy systems, optimization modeling, and energy trading mechanisms . She previously earned her Master’s degree  in Professional Accounting  from North China Electric Power University , where she combined technical and economic perspectives in energy research. Earlier, she completed her Undergraduate degree  in Accounting from Wenjing College, Yantai University . This interdisciplinary background spanning engineering, economics, and finance equips her with unique analytical capabilities to tackle energy challenges from both technical and market viewpoints . Alongside formal education, she has also obtained Mini MBA certification , enhancing her leadership and innovation skills. This solid academic foundation empowers her to bridge research, technology, and business in the energy sector.

Experience 

Dr. Yaling Sun professional experience blends industry expertise with research excellence . she served as a Solutions Engineer at Beijing Hyperstrong Engineering Technology Co., Ltd , providing one-stop energy storage system solutions for traditional power, renewable generation, smart grids, microgrids, and end-user applications . Her work included technical-economic analysis, construction guidance, and project optimization . She has been a core researcher in multiple national and industry projects, including offshore wind farm DC collector system design , microgrid optimization, seasonal grid load analysis , and integrated energy system efficiency evaluation. Her collaborations with State Grid companies across various provinces enhanced her practical understanding of large-scale energy systems . She also interned at BOE-NCEPU Energy IoT Research Institute on hydrogen storage market studies and cost analysis . Combining industry problem-solving with academic rigor, she has delivered impactful results that connect innovation with real-world energy needs.

Research Interest

Dr. Yaling Sun research interests lie at the intersection of energy systems, optimization, and market mechanisms . Her primary focus is on integrated energy system modeling and analysis  developing mathematical and computational models to optimize the planning, operation, and dispatch of complex energy networks. She also explores energy trading mechanisms , particularly in distributed generation, blockchain-based transactions , and cooperative game-theoretic strategies for resource allocation. Her work extends to battery energy storage systems, offshore wind integration , microgrids, and hybrid energy systems that combine renewable, conventional, and storage resources for maximum efficiency . She investigates the synergy between technological innovation and economic feasibility, aiming to enhance grid resilience, energy efficiency, and carbon reduction . By integrating engineering models with policy and market insights, she contributes to the advancement of smart grid concepts and the sustainable transformation of the energy sector .

Award and Honor 

Dr. Yaling Sun has been recognized for both her academic excellence and leadership . She won the National Second Prize in the “Huawei Cup”  China Graduate Student Mathematical Modeling Competition , showcasing her analytical and modeling expertise . Earlier, she earned the National Third Prize in theChinese College Student Competition on Energy Economics . At Tianjin University, she received the Doctoral Academic Scholarship (Second Prize, twice)  for outstanding research performance. She also holds a Mini MBA Certificate  from the Future Engineers’ Leadership and Innovation Academy. Her leadership is reflected in awards such as Outstanding Student Leader and Outstanding Youth League Cadre . Beyond academics, she was honored as an Excellent Volunteer at the China Electrical Engineering Annual Conference  and the Yantai International Hiking Challenge . These accolades reflect her dedication to both professional excellence and community service .

Research Skill

Dr. Yaling Sun possesses a well-rounded skill set that bridges technical modeling, economic analysis, and project management . She is proficient in integrated energy system planning, technical-economic evaluation, battery energy storage, hydrogen energy applications, and power engineering assessment . Her analytical expertise extends to optimization algorithms, demand response strategies, and game-theoretic modeling . She has strong data analysis capabilities, supported by software proficiency in MATLAB, MS Office, Visio, Origin, and Photoshop . With CET-4 and CET-6 English certification , she can read and write academic literature fluently. She excels at problem-solving, team coordination, and independent research . Her work often involves designing models for large-scale energy systems, performing simulation-based evaluations, and integrating technical solutions with market mechanisms . This combination of engineering knowledge, economic insight, and leadership positions her to contribute innovative solutions to the evolving global energy landscape .

Publication Top Note

Title: Optimal modeling and analysis of microgrid lithium iron phosphate battery energy storage system under different power supply states 
Journal: Journal of Power Sources
Year: 2022
Authors: Yongli Wang, Yaling Sun, Yuli Zhang, Xin Chen, Hekun Shen, Yang Liu, Xinya Zhang, Yunxing Zhang
DOI: 10.1016/j.jpowsour.2021.230931

Conclusion

Dr. Yaling Sun an optimal modeling and analysis approach for microgrid lithium iron phosphate  battery energy storage systems under different power supply states . By incorporating detailed battery characteristics, power supply scenarios, and operational constraints, the model improves the accuracy of performance evaluation and decision-making in microgrid energy management. Simulation results demonstrate that proper scheduling of LiFePO₄ batteries significantly enhances system reliability, energy efficiency, and economic benefits , particularly in scenarios with fluctuating renewable generation. The findings provide practical guidance for the design and operation of safe, efficient, and sustainable microgrid energy storage solutions , supporting broader goals of renewable energy integration and power system resilience .

Weiyu Wang | Electrical Engineering | Best Researcher Award

Published on by Research Scientist

Assoc. Prof. Dr. Weiyu Wang | Electrical Engineering | Best Researcher Award

Associate Professor at Changsha University of Science and Technology, China

Dr. Weiyu Wang is an accomplished Associate Professor at the School of Electrical and Information Engineering, Changsha University of Science and Technology, China. He earned his B.S. and Ph.D. degrees in Electrical and Information Engineering from Hunan University, respectively.  He was a Visiting Researcher at the University of Liverpool, U.K., enhancing his expertise in advanced power system stability and control. Since joining CSUST, Dr. Wang has led multiple national and provincial research projects focused on hybrid AC/DC power systems, HVDC technology, and renewable energy integration. and SCI-indexed journal publications, he is a rising figure in the field of electrical power engineering. Recognized as an Outstanding Reviewer by IEEE Transactions on Power Systems in , he continues to advance innovative solutions for modern energy systems.

Professional Profile

ORCID Profile | Google Scholar

Education

Dr. Weiyu Wang  academic journey  is marked by excellence in electrical and information engineering. He obtained his Bachelor of Science degree from Hunan University , where he developed a strong foundation in power systems, electronics, and control theory.  Driven by a passion for advanced research, he continued at Hunan University to pursue his Ph.D. in Electrical and Information Engineering, which he completed in . His doctoral research focused on stability analysis and control of hybrid AC/DC power systems, a cutting-edge area crucial for integrating renewable energy into modern grids. During his Ph.D., he broadened his academic horizon as a Visiting Researcher at the University of Liverpool, U.K, engaging in collaborative international research on oscillation control and HVDC systems.  This diverse educational background provided him with both deep technical knowledge and global perspectives, shaping his expertise in power system innovation.

Experience 

Dr. Weiyu Wang  began his academic career in  as a Lecturer at the School of Electrical and Information Engineering, Changsha University of Science and Technology (CSUST). Within just four years, his significant research contributions and leadership in power systems earned him a promotion to Associate Professor.  He has managed multiple funded projects, including those supported by the National Natural Science Foundation of China and the Hunan Provincial Natural Science Foundation, focusing on hybrid AC/DC system stability, HVDC oscillation control, and renewable energy integration.  In addition to academic research, Dr. Wang has collaborated with State Grid companies on consultancy projects addressing grid stability, energy efficiency, and fire risk assessment for transmission lines. His blend of theoretical expertise and real-world applications positions him as a leading voice in advancing sustainable and intelligent energy systems.

Research Interest

Dr. Weiyu Wang  research interests lie at the intersection of power system stability, control theory, and renewable energy integration. He focuses on stability analysis and hierarchical damping control for hybrid AC/DC power systems , particularly in systems involving multi-terminal HVDC technology. His work addresses challenges in oscillation modeling, synchronization stability, and multi-mode oscillation control   critical for large-scale renewable integration . He also explores distributed damping control strategies to enhance grid resilience, especially in the presence of multiple HVDC systems. His projects extend to equivalent coupled oscillator modeling and cooperative control methods for renewable-rich grids.  This research supports the development of more reliable, flexible, and efficient power systems worldwide.  Dr. Wang’s interdisciplinary approach bridges theoretical analysis, advanced simulation, and real-world grid applications, contributing to global advancements in clean energy transition and smart grid technology.

Award and  Honor

Dr. Weiyu Wang  has earned notable recognition for his contributions to electrical power engineering. He was honored as an Outstanding Reviewer for the prestigious IEEE Transactions on Power Systems, reflecting his expertise and dedication to advancing scholarly research.  His academic achievements are supported by competitive research grants, including the National Natural Science Foundation of China and the Hunan Provincial Natural Science Foundation. He has also played leading roles in consultancy projects with State Grid companies, addressing critical industry challenges in power system stability, energy efficiency, and operational optimization. Beyond research, Dr. Wang’s growing citation record and international collaboration experience underscore his influence in the global academic community.  His rapid promotion to Associate Professor in just four years further reflects his excellence in research, teaching, and engineering innovation.

Research Skill

Dr. Weiyu Wang  research skillset  covers stability analysis, advanced modeling, and intelligent control for modern power systems. He is proficient in multi-mode oscillation detection, hierarchical cooperative damping control, and synchronization stability assessment for renewable-integrated grids.  His expertise extends to multi-terminal HVDC systems, including oscillation characteristic analysis and distributed damping strategy design. He is skilled in equivalent coupled oscillator modeling, enabling accurate simulation of complex grid behaviors.  In industry-focused work, Dr. Wang applies energy efficiency evaluation and operational optimization under carbon trading mechanisms, as well as fire risk assessment for transmission infrastructure.  His technical capabilities are strengthened by hands-on experience with simulation platforms (MATLAB/Simulink, PSCAD) and real-world grid data analysis.  His research blends theoretical rigor, computational modeling, and engineering practicality, making him an asset to both academia and the power industry.

Publication Top Notes

Title: Adaptive droop control of VSC-MTDC system for frequency support and power sharing
Authors: W. Wang, Y. Li, Y. Cao, U. Häger, C. Rehtanz
Journal: IEEE Transactions on Power Systems, 33(2), 1264-1274
Year: 2017
Cited by: 226

Title: A virtual synchronous generator control strategy for VSC-MTDC systems
Authors: Y. Cao, W. Wang, Y. Li, Y. Tan, C. Chen, L. He, U. Häger, C. Rehtanz
Journal: IEEE Transactions on Energy Conversion, 33(2), 750-761
Year: 2017
Cited by: 209

Title: A parameter alternating VSG controller of VSC-MTDC systems for low frequency oscillation damping
Authors: W. Wang, L. Jiang, Y. Cao, Y. Li
Journal: IEEE Transactions on Power Systems, 35(6), 4609-4621
Year: 2020
Cited by: 120

Title: A flexible power control strategy for hybrid AC/DC zones of shipboard power system with distributed energy storages
Authors: L. He, Y. Li, Z. Shuai, J.M. Guerrero, Y. Cao, M. Wen, W. Wang, J. Shi
Journal: IEEE Transactions on Industrial Informatics, 14(12), 5496-5508
Year: 2018
Cited by: 81

Title: A distributed cooperative control based on consensus protocol for VSC-MTDC systems
Authors: W. Wang, X. Yin, Y. Cao, L. Jiang, Y. Li
Journal: IEEE Transactions on Power Systems, 36(4), 2877-2890
Year: 2021
Cited by: 37

Title: A perturbation observer-based fast frequency support for low-inertia power grids through VSC-HVDC systems
Authors: W. Wang, Y. Cao, L. Jiang, C. Chen, Y. Li, S. Li, X. Shi
Journal: IEEE Transactions on Power Systems, 39(2), 2461-2474
Year: 2023
Cited by: 19

Title: Interaction between grid-forming converters with AC grids and damping improvement based on loop shaping
Authors: W. Wang, X. Shi, G. Wu, Y. Cao
Journal: IEEE Transactions on Power Systems, 39(1), 1905-1917
Year: 2023
Cited by: 18

Title: Perturbation observer-based nonlinear control of VSC-MTDC systems
Authors: W. Wang, X. Yin, L. Jiang, Y. Cao, Y. Li
Journal: International Journal of Electrical Power & Energy Systems, 134, 107387
Year: 2022
Cited by: 17

Title: Latin hypercube sampling method for location selection of multi-infeed HVDC system terminal
Authors: X. Li, Y. Li, L. Liu, W. Wang, Y. Li, Y. Cao
Journal: Energies, 13(7), 1646
Year: 2020
Cited by: 12

Title: Inertia estimation of power grid with VSC-MTDC system
Authors: L. Hu, Y. Li, W. Wang, Y. Tan, Y. Cao, K.Y. Lee
Journal: IFAC-PapersOnLine, 51(28), 197-202
Year: 2018
Cited by: 12

Title: Virtual synchronous generator strategy for VSC-MTDC and the probabilistic small signal stability analysis
Authors: W. Weiyu, L. Fang, T. Yi, H. Jinhua, T. Shengwei, L. Yong, C. Yijia
Journal: IFAC-PapersOnLine, 50(1), 5424-5429
Year: 2017
Cited by: 8

Title: Adaptive droop control strategy participating in power grid frequency regulation for VSC-MTDC transmission system
Authors: W.Y. Wang, Y. Li, Y.J. Cao, Z.W. Xu, Y. Tan
Journal: Automation of Electric Power Systems, 41(13), 142-149
Year: 2017
Cited by: 8

Title: Optimal configuration of distributed energy storage considering intending island recovery in faulty distribution networks
Authors: C. Chen, L. Hong, Y. Chen, Q. Tan, L. Li, W. Wang
Journal: International Journal of Electrical Power & Energy Systems, 158, 109982
Year: 2024
Cited by: 7

Title: Flexible voltage control strategy of DC distribution network considering distributed energy storage [J]
Authors: L. He, Y. Li, Y.J. Cao, W. Wang
Journal: Transactions of China Electrotechnical Society, 32(10), 101-110
Year: 2017
Cited by: 6

Title: Modeling and assessing load redistribution attacks considering cyber vulnerabilities in power systems
Authors: X. Shi, H. Guo, W. Wang, B. Yin, Y. Cao
Journal: Frontiers in Energy Research, 11, 1242047
Year: 2023
Cited by: 3

Title: Perturbation estimation based nonlinear adaptive control of VSC flexible excitation system
Authors: N. Yang, Q. Zeng, X. Yin, W. Wang, P. Zeng, L. Jiang
Journal: IET Generation, Transmission & Distribution, 16(13), 2600-2611
Year: 2022
Cited by: 3

Title: 基于虚拟调速器的多端直流虚拟同步机控制策略
Authors: 王炜宇, 李勇, 曹一家, 李欣然
Journal: 中国电机工程学报, 38(12), 3461-3470
Year: 2018
Cited by: 3

Title: Intending island service restoration method with topology-powered directional traversal considering the uncertainty of distributed generations
Authors: C. Chen, Y. Wu, Y. Cao, S. Liu, Q. Tan, W. Wang
Journal: Frontiers in Energy Research, 9, 762491
Year: 2021
Cited by: 2

Conclusion

Dr. Weiyu Wang and collaborators makes significant contributions to the modeling, control, and stability enhancement of VSC-MTDC (Voltage Source Converter–based Multi-Terminal DC) systems and hybrid AC/DC power grids. Across high-impact IEEE journals and other reputable outlets, these studies address core challenges such as adaptive droop control, virtual synchronous generator strategies, low-frequency oscillation damping, and distributed cooperative control. More recent works extend into advanced frequency support for low-inertia grids, nonlinear observer-based control, and cyber-physical security in power systems. The research demonstrates both theoretical innovation and practical applicability, influencing modern grid stability and renewable integration. With multiple highly cited papers, this research portfolio plays a pivotal role in advancing power system resilience and flexibility in the era of decarbonization and increasing renewable penetration

Stephanie McGrath | Neurooncology | Best Researcher Award

Published on by Research Scientist

Dr. Stephanie McGrath | Neurooncology | Best Researcher Award

Associate Professor at  Colorado State University, United States

Dr. Stephanie McGrath is a distinguished veterinary neurologist and researcher at Colorado State University , serving as Associate Professor and Service Lead in Neurology. She is also the Director and Co-Founder of CSU’s Brain Research Center , where she leads pioneering studies on epilepsy, cognitive decline, and healthy aging in dogs. Internationally recognized for her groundbreaking work on cannabidiol (CBD) in veterinary neurology , she has published influential studies that have transformed clinical approaches to neurological disorders in animals. Beyond research, she is deeply committed to teaching the next generation of veterinarians , contributing to both education and global scientific advancement. Dr. McGrath plays a vital role in the Dog Aging Project , exploring therapies to enhance canine lifespan and brain health. With a blend of clinical expertise, innovative research, and compassionate care , she continues to make a lasting impact on veterinary medicine and the lives of pets worldwide.

Professional Profile

ORCID Profile | Scopus Profile | Google Scholar

Education 

Dr. Stephanie McGrath academic journey reflects a lifelong dedication to veterinary neurology and clinical science . She began with a Bachelor of Arts from Columbia University  laying the foundation for her future in science and medicine. she earned her Doctor of Veterinary Medicine from Michigan State University , gaining essential clinical skills for animal healthcare. Her passion for advanced research led her to pursue a Master of Clinical Science at Colorado State University in  where she began focusing on neurological conditions in animals.  she achieved Diplomate status with the American College of Veterinary Internal Medicine (Neurology) , marking her as a board-certified specialist in the field. This combination of elite academic training and professional certification has provided her with the expertise to lead innovative research, mentor veterinary students, and develop groundbreaking treatments for neurological diseases in companion animals .

Experience 

Dr. Stephanie McGrath has cultivated an extensive career in veterinary neurology, blending clinical expertise, research, and leadership . She began as a Small Animal Medicine and Surgery Intern at Red Bank Veterinary Hospital, followed by a Neurology Specialty Internship at VCA Alameda East . Her residency in Neurology at  solidified her expertise, after which she briefly served as Staff Veterinarian in Highlands Ranch. Returning to CSU, she advanced from Assistant Professor  to Tenure-Track Assistant Professor , and now Associate Professor and Service Lead in Neurology . She also co-leads the TRIAD Neurology Arm of the Dog Aging Project  , and is Director & Co-Founder of the Brain Research Center. Her career reflects a balance of patient care, academic teaching, and cutting-edge neurological research.

Research Interest

Dr. Stephanie McGrath research focuses on advancing veterinary neurology through innovative treatments and translational science . She specializes in epilepsy, canine cognitive dysfunction, and the role of cannabidiol (CBD) in neurological disease management . Her studies explore how CBD can be safely and effectively used for drug-resistant epilepsy, brain aging, and neuroprotection in dogs. She is deeply involved in neuroimaging (including diffusion tensor imaging) to better understand brain structure and function in aging canines . As a leader in the Dog Aging Project, she examines how therapeutic interventions like rapamycin may improve lifespan and cognitive health in pets. Her broader interests include neuro-oncology, neurodegenerative disorders, and biomarkers for early detection of neurological disease . Through this work, Dr. McGrath bridges human and animal medicine, aiming to develop therapies that enhance both veterinary and comparative neurology, ultimately improving quality of life for animals and potentially humans .

 Award and Honor

Dr. Stephanie McGrath career is distinguished by numerous prestigious awards recognizing her impact on veterinary neurology . she received JVIM’s “Top Cited Article” Award for her groundbreaking CBD epilepsy studies  and Veterinary Ophthalmology’s “Top Cited Article” Award for ocular CBD research, her student’s work on canine cognitive decline biomarkers earned the Association for Clinical and Translational Science Poster Award . She won the George Fleming Prize in for the year’s most meritorious article in The Veterinary Journal . Her mentorship has led students to multiple first-place awards in clinical and poster presentations , while she herself has received the Zoetis Award for Research Excellence . She has delivered keynote speeches at major scientific events  and earned recognition for innovative neuroimaging, cannabinoid research, and translational veterinary science . These accolades highlight her leadership, innovation, and dedication to advancing veterinary medicine.

Research Skill

Dr. Stephanie McGrath possesses a diverse and advanced set of research skills in veterinary neurology and translational science . She is highly experienced in clinical trial design, particularly large-scale studies assessing CBD and other therapeutics for neurological conditions . Her expertise includes neuroimaging techniques such as MRI and diffusion tensor imaging , enabling precise evaluation of structural and functional brain changes. She is adept at biomarker identification for early disease detection and tracking of neurodegenerative progression . Dr. McGrath excels in comparative neurology, translating findings from canine models to benefit human medicine as well. She has strong capabilities in data analysis, scientific writing, and mentoring research teams, fostering the next generation of veterinary scientists . Her work integrates clinical expertise, innovative methodologies, and collaborative research leadership, positioning her as a driving force in the advancement of both veterinary and comparative neuroscience .

Publication Top Notes

Title: Randomized blinded controlled clinical trial to assess the effect of oral cannabidiol administration in addition to conventional antiepileptic treatment on seizure frequency in …
Authors: S. McGrath, L.R. Bartner, S. Rao, R.A. Packer, D.L. Gustafson
Journal: Journal of the American Veterinary Medical Association, 254(11), 1301-1308
Year: 2019
Cited by: 236

Title: Pharmacokinetics of cannabidiol administered by 3 delivery methods at 2 different dosages to healthy dogs
Authors: L.R. Bartner, S. McGrath, S. Rao, L.K. Hyatt, L.A. Wittenburg
Journal: Canadian Journal of Veterinary Research, 82(3), 178-183
Year: 2018
Cited by: 190

Title: Evaluation of the effect of cannabidiol on naturally occurring osteoarthritis-associated pain: a pilot study in dogs
Authors: S. Mejia, F.M. Duerr, G. Griffenhagen, S. McGrath
Journal: Journal of the American Animal Hospital Association, 57(2), 81-90
Year: 2021
Cited by: 101

Title: A report of adverse effects associated with the administration of cannabidiol in healthy dogs
Authors: S. McGrath, L.R. Bartner, S. Rao, L.R. Kogan, P.W. Hellyer
Journal: Veterinary Medicine, 1, 6-8
Year: 2018
Cited by: 92

Title: Scientific validation of cannabidiol for management of dog and cat diseases
Authors: I. Corsato Alvarenga, K.S. Panickar, H. Hess, S. McGrath
Journal: Annual Review of Animal Biosciences, 11(1), 227-246
Year: 2023
Cited by: 58

Title: Cannabidiol induces apoptosis and perturbs mitochondrial function in human and canine glioma cells
Authors: C. Gross, D.A. Ramirez, S. McGrath, D.L. Gustafson
Journal: Frontiers in Pharmacology, 12, 725136
Year: 2021
Cited by: 52

Title: Metagenomic investigation of idiopathic meningoencephalomyelitis in dogs
Authors: L.L. Hoon‐Hanks, S. McGrath, K.L. Tyler, C. Owen, M.D. Stenglein
Journal: Journal of Veterinary Internal Medicine, 32(1), 324-330
Year: 2018
Cited by: 52

Title: Cannabis in veterinary medicine: a critical review
Authors: T. Hazzah, C. Andre, G. Richter, S. McGrath, F. Collins
Journal: AHVMA, 61(220), 25
Year: 2020
Cited by: 42

Title: Cannabidiol in canine epilepsy
Authors: H. Potschka, S.F.M. Bhatti, A. Tipold, S. McGrath
Journal: The Veterinary Journal, 290, 105913
Year: 2022
Cited by: 37

Title: Clinical and imaging findings, treatments, and outcomes in 27 dogs with imaging diagnosed trigeminal nerve sheath tumors: a multi‐center study
Authors: K.E. Swift, S. McGrath, M.W. Nolan, M. Young, M. Reese, S. Rao, E. Randall, …
Journal: Veterinary Radiology & Ultrasound, 58(6), 679-689
Year: 2017
Cited by: 36

Title: The effects of iatrogenic blood contamination on total nucleated cell counts and protein concentrations in canine cerebrospinal fluid
Authors: A.L. MacNeill, B.G. Andre, Y. Zingale, R.A. Packer, S. McGrath
Journal: Veterinary Clinical Pathology, 47(3), 464-470
Year: 2018
Cited by: 30

Title: Drug-drug interaction between cannabidiol and phenobarbital in healthy dogs
Authors: C.E. Doran, S. McGrath, L.R. Bartner, B. Thomas, A.E. Cribb, D.L. Gustafson
Journal: American Journal of Veterinary Research, 83(1), 86-94
Year: 2022
Cited by: 27

Title: The efficacy and safety of cannabidiol as adjunct treatment for drug‐resistant idiopathic epilepsy in 51 dogs: A double‐blinded crossover study
Authors: A.J. Rozental, B.G. Weisbeck, I. Corsato Alvarenga, D.L. Gustafson, …
Journal: Journal of Veterinary Internal Medicine, 37(6), 2291-2300
Year: 2023
Cited by: 23

Title: Tolerability of long‐term cannabidiol supplementation to healthy adult dogs
Authors: I. Corsato Alvarenga, K.M. Wilson, S. McGrath
Journal: Journal of Veterinary Internal Medicine, 38(1), 326-335
Year: 2024
Cited by: 21

Title: Reprogramming the canine glioma microenvironment with tumor vaccination plus oral losartan and propranolol induces objective responses
Authors: D.T. Ammons, A. Guth, A.J. Rozental, J. Kurihara, A.J. Marolf, L. Chow, …
Journal: Cancer Research Communications, 2(12), 1657-1667
Year: 2022
Cited by: 21

Title: Generation of neural progenitor cells from canine induced pluripotent stem cells and preliminary safety test in dogs with spontaneous spinal cord injuries
Authors: L. Chow, S. McGrath, C. de Arruda Saldanha, L.R. Whalen, R. Packer, S. Dow
Journal: Frontiers in Veterinary Science, 7, 575938
Year: 2020
Cited by: 20

Title: Pharmacokinetics of escalating single‐dose administration of cannabidiol to cats
Authors: A.J. Rozental, D.L. Gustafson, B.R. Kusick, L.R. Bartner, S.C. Castro, S. McGrath
Journal: Journal of Veterinary Pharmacology and Therapeutics, 46(1), 25-33
Year: 2023
Cited by: 19

Title: Plasma and joint tissue pharmacokinetics of two doses of oral cannabidiol oil in guinea pigs (Cavia porcellus)
Authors: A.P. Spittler, J.E. Helbling, S. McGrath, D.L. Gustafson, K.S. Santangelo, …
Journal: Journal of Veterinary Pharmacology and Therapeutics, 44(6), 967-974
Year: 2021
Cited by: 18

Title: Targeting neuroinflammation by pharmacologic downregulation of inflammatory pathways is neuroprotective in protein misfolding disorders
Authors: S.J. Risen, S.W. Boland, S. Sharma, G.M. Weisman, P.M. Shirley, A.S. Latham, …
Journal: ACS Chemical Neuroscience, 15(7), 1533-1547
Year: 2024
Cited by: 16

Title: Use of handheld Raman spectroscopy for intraoperative differentiation of normal brain tissue from intracranial neoplasms in dogs
Authors: C.E. Doran, C.B. Frank, S. McGrath, R.A. Packer
Journal: Frontiers in Veterinary Science, 8, 819200
Year: 2022
Cited by: 16

Conclusion

Dr. Stephanie McGrath reflects an exceptional and sustained contribution to veterinary medicine, particularly in advancing the understanding and therapeutic application of cannabidiol in animals. Her studies cover a wide range of topics including pharmacokinetics, clinical efficacy, safety, and mechanistic insights of cannabidiol across multiple species, with results published in high-impact veterinary and biomedical journals. The citation record is impressive, with several landmark papers exceeding , underscoring the global influence and applicability of her work. Beyond cannabinoid research, she has contributed significantly to neuro-oncology, neuroinflammation, advanced diagnostic tools, and regenerative medicine in veterinary science. This breadth, coupled with translational relevance, innovation, and consistent scholarly output, positions her as a highly deserving candidate for the Best Researcher Award. Her research not only advances scientific knowledge but also has direct implications for improving clinical outcomes in animal health.

Humberto Morris | Agricultural and Biological Sciences | Lifetime achievement Award

Published on by Research Scientist

Prof. Dr. Humberto Morris | Agricultural and Biological Sciences | Lifetime achievement Award

Director of Science, innovation and Postgraduate Studies at Center for Industrial Biotechnology Studies (CEBI), Oriente University, Cuba 

Prof. Dr. Humberto  Morris Quevedo is a renowned Cuban biotechnologist and professor with over three decades of impactful scientific contribution. Currently serving as the Director of Science, Innovation, and Postgraduate Studies at CEBI, Universidad de Oriented, he is a leading expert in biotechnology, immuno nutrition, and natural product research. With a Ph.D. in Biological Sciences and the title of Professor Titular, he combines academic leadership with hands-on research. As an active member of several scientific societies and editorial boards, he has played a critical role in shaping Cuba’s biotechnological development. His dynamic presence extends across global academic platforms including Web of Science, Scopus, ORCID, and ResearchGate . Dr. Morris is deeply committed to scientific innovation, sustainable development, and interdisciplinary collaboration.

Professional Profile

Scopus Profile | ORCID Profile | Google Scholar

Education

Prof. Dr. Humberto Morris holds a Licenciatura in Biochemistry  , earning the prestigious “Título de Oro” . He further completed a Master’s in Nutritional Biochemistry  and achieved his Ph.D. in Biological Sciences from Universidad de Oriented , where he researched immuno nutritional properties of Chlorella vulgaris algae . His academic journey reflects a consistent dedication to applied biochemistry and biotechnology. He earned an international specialization in Molecular Bases of Obesity from Universidad de Castilla-La Mancha in Spain , strengthening his expertise in health-oriented molecular science . His education spans multiple disciplines, combining biological research with nutritional, pharmaceutical, and clinical perspectives, making him a uniquely qualified leader in scientific innovation .

Experience

Prof. Dr. Humberto Morris began his scientific career at the Center for Solar Energy Research.  He has been based at CEBI, Universidad de Oriented, holding leadership roles such as General Director and now Director of Science and Innovation . He has served on numerous academic committees, councils, and national accreditation boards. With experience spanning more than  years, his roles have included consultant, coordinator, editorial board member, and university professor . He’s actively involved in postgraduate education, mentoring master’s and doctoral programs, and contributing to national science strategies. His expertise ranges from research administration to scientific mentoring, making him a vital figure in Cuban science and education .

Research Interest

Prof. Dr. Humberto Morris research spans a diverse array of biotechnological fields. His current focus includes the development of bio-based pharmaceutical products , functional foods, and nutraceuticals , as well as applied immunology and immuno nutrition . He is also engaged in complementary medicine, natural product pharmacology, and mushroom biotechnology . He coordinates the institutional research line “Development of Biotechnological Products, Goods, and Services,” reflecting his leadership in innovation and health technology . Additionally, he contributes to science education and the didactics of natural sciences . His interdisciplinary approach blends health, nutrition, and technology to address public health and sustainable development goals .

Award and  Honor

Prof. Dr. Humberto Morris has earned numerous accolades throughout his distinguished career. His undergraduate studies concluded with the Título de Oro , awarded to top graduates in Cuba. He holds the prestigious ranks of Professor Titular and Investigator Titular, reflecting national recognition of his academic and scientific excellence . He has served as a consultant for the Havana International Center (CIH), a national expert evaluator for academic programs, and reviewer/editor for top scientific journals worldwide . His leadership has been instrumental in the accreditation of programs and the advancement of national science policy. With memberships in esteemed societies and editorial boards, Dr. Morris continues to receive national and international acknowledgment for his contributions to education, research, and innovation .

Research Skill

Prof. Dr. Humberto Morris possesses high-level expertise in nutritional biochemistry, biopharmaceutical development, applied immunology, and functional food formulation . His laboratory skills include protein hydrolysate production, molecular analysis, and microbial bioprocessing . He is proficient in managing multidisciplinary projects, supervising graduate research, and designing health-related biotechnology innovations . Skilled in scientific writing, peer review, and research methodology, he also excels in mentoring young researchers and leading academic collaborations . His work integrates biotechnology, nutrition, and natural medicine, making him a pioneer in functional food and immuno nutrition research . His deep understanding of health-oriented bioproducts and strong communication skills help translate complex science into real-world applications .

Publication Top Notes

Title: Utilisation of Chlorella vulgaris cell biomass for the production of enzymatic protein hydrolysates
Authors: HJ Morris, A Almarales, O Carrillo, RC Bermúdez
Year: 2008
Citations: 172

Title: Immunostimulant activity of an enzymatic protein hydrolysate from green microalga Chlorella vulgaris on undernourished mice
Authors: HJ Morris, O Carrillo, A Almarales, RC Bermúdez, Y Lebeque, R Fontaine, et al.
Year: 2007
Citations: 140

Title: Antioxidants in plants: A valorization potential emphasizing the need for the conservation of plant biodiversity in Cuba
Authors: G Llauradó Maury, D Méndez Rodríguez, S Hendrix, JC Escalona Arranz, et al.
Year: 2020
Citations: 134

Title: Tratamiento de efluentes industriales coloreados con Pleurotus spp
Authors: S Rodríguez, M Fernández, RC Bermúdez, H Morris
Year: 2003
Citations: 103

Title: Wild plants, mushrooms and nuts: functional food properties and applications
Authors: ICFR Ferreira, P Morales, L Barros
Year: 2017
Citations: 79

Title: Infecciones nosocomiales: incidencia de la Pseudomonas aeruginosa
Authors: Y Lebeque Pérez, HJ Morris Quevedo, N Calás Viamonte
Year: 2006
Citations: 78

Title: Protein hydrolysates from the alga Chlorella vulgaris 87/1 with potentialities in immunonutrition
Authors: HJ Morris, OV Carrillo, Á Almarales, RC Bermúdez, ME Alonso, L Borges, et al.
Year: 2009
Citations: 69

Title: Chemical constituents of Tamarindus indica L. leaves
Authors: JC Escalona-Arranz, R Pérez-Rosés, IL Jiménez, J Rodríguez-Amado, …
Year: 2010
Citations: 49

Title: Mycelia from Pleurotus sp. (oyster mushroom): a new wave of antimicrobials, anticancer and antioxidant bio-ingredients
Authors: HJ Morris, Y Beltrán, G Llauradó, PL Batista, IG Perraud, N García, …
Year: 2017
Citations: 44

Title: Influencia de la luz en la calidad proteica de Pleurotus ostreatus var. florida
Authors: RCB Savón, HJM Quevedo, CD Fernández, CEM Manrique, EIR Sevilla
Year: 2003
Citations: 43

Title: The use of mushrooms in the development of functional foods, drugs, and nutraceuticals
Authors: HJ Morris, G Llauradó, Y Beltrán, Y Lebeque, RC Bermúdez, N García, …
Year: 2016
Citations: 40

Title: Efecto de la luz en la concentración de micosteroles de Pleurotus ostreatus var. florida
Authors: RC Bermudez, C Donoso, CE Martinez, EI Ramos, HJ Morris
Year: 2002
Citations: 37

Title: In-vitro antimicrobial activity and complement/macrophage stimulating effects of a hot-water extract from mycelium of the oyster mushroom Pleurotus sp.
Authors: G Llauradó, HJ Morris, L Ferrera, M Camacho, L Castán, Y Lebeque, …
Year: 2015
Citations: 36

Title: Contenido de fenoles totales en extractos de Pleurotus obtenidos con solventes de diferente polaridad
Authors: Y Beltrán Delgado, HJ Morris Quevedo, ER de la Cruz, …
Year: 2013
Citations: 36

Title: Adyuvantes inmunológicos
Authors: HJ Morris Quevedo, C Martínez Manrique, RT Abdala Díaz, …
Year: 1999
Citations: 36

Title: Phytochemical screening and effects on cell-mediated immune response of Pleurotus fruiting bodies powder
Authors: G. Llauradó, H.J. Morris, Y. Lebeque, A. Gutiérrez, R. Fontaine, …
Journal: Food and Agricultural Immunology
Year: 2013
Citations: 34

Title: Immunomodulating effects of hot-water extract from Pleurotus ostreatus mycelium on cyclophosphamide treated mice
Authors: H.J. Morris, J. Marcos, G. Llauradó, R. Fontaine, V. Tamayo, N. García, …
Journal: Micologia Aplicada International
Year: 2003
Citations: 33

Title: Antioxidant and toxicological evaluation of a Tamarindus indica L. leaf fluid extract
Authors: J.C. Escalona-Arranz, R. Perez-Rosés, J. Rodríguez-Amado, …
Journal: Natural Product Research
Year: 2016
Citations: 30

Title: Composición micoquímica y actividad antioxidante de la seta Pleurotus ostreatus en diferentes estados de crecimiento
Authors: Y. Beltrán Delgado, H. Morris Quevedo, O.D. Domínguez, …
Journal: Acta Biológica Colombiana
Year: 2021
Citations: 28

Conclusion

Prof. Dr. Humberto Morris exemplifies the qualities of a Lifetime Achievement Award recipient. With a distinguished career spanning decades, he has demonstrated enduring commitment to scientific innovation, institutional leadership, and translational biotechnology. His contributions have significantly advanced both theoretical knowledge and practical applications in food and health sciences.

Amir Hossein Asadi | Engineering | Top Researcher Award

Published on by Research Scientist

Mr. Amir Hossein Asadi | Engineering | Top Researcher Award

MSC Graduated at University of Guilan, Iran

Mr.  Amir Hossein Asadi is a dedicated researcher and innovator in civil engineering, specializing in road and transportation systems . He is the Founder and Head of the Road & Transportation Group at Rah Sazan Segal Gharn Consulting Engineers Company and holds an MSc in Road & Transportation Engineering from the University of Guilan . His work primarily focuses on enhancing bitumen properties to improve the durability and resilience of asphalt mixtures. With over seven published research papers in high-impact Q1 journals such as Elsevier, ASCE, and Nature, he is recognized for his valuable contributions to infrastructure development . Amir is also a peer reviewer and an industry consultant, involved in major road safety and construction projects across Iran. His innovative approach, integrating artificial intelligence  and nanotechnology into civil material studies, has positioned him as a forward-thinking leader in his field.

Professional Profile

ORCID Profile | Google Scholar

Education

Mr.  Amir Hossein Asadi pursued his academic journey at the University of Guilan, earning his MSc in Road and Transportation Engineering . With a foundational background in civil engineering , his academic focus revolved around transportation systems, highway design, and materials engineering. His postgraduate studies deepened his expertise in the mechanical and thermodynamic behavior of bituminous mixtures, emphasizing the need for enhanced material performance and longevity. Throughout his studies, he demonstrated exceptional research aptitude by contributing to both experimental and AI-driven modeling approaches . His thesis and project work laid the groundwork for his future innovations in bitumen modification and asphalt durability. Amir’s academic path reflects a strong balance of theoretical depth and applied knowledge, equipping him to bridge the gap between laboratory research and practical engineering solutions .

Experience

Mr.  Amir Hossein Asadi brings substantial experience in both research and field consultancy . As the Founder and Head of the Road & Transportation Group at Rah Sazan Segal Gharn Consulting Engineers Co., he has led multidisciplinary teams on critical infrastructure projects, including the design of highways, interchanges in Tabriz, and safety enhancements in Bojnourd . His work extends beyond design, involving construction supervision of major structures like university buildings. With  completed research projects and 2 ongoing, Amir integrates academic rigor with real-world challenges. He also actively contributes to the scientific community through peer reviewing for high-impact journals like the Journal of Materials in Civil Engineering (ASCE) . His hands-on experience in bitumen characterization and the application of AI in road material design makes him a rare blend of researcher and practitioner, dedicated to safe, sustainable, and high-performing transportation networks .

Research Interest

Mr.  Amir Hossein Asadi research interests are firmly rooted in bitumen modification, asphalt mixture performance, and advanced failure analysis of road materials . He focuses on improving the thermal and fatigue resistance of hot mix asphalt (HMA) by incorporating nanomaterials and using thermodynamic and mechanical analysis. His investigations also explore surface free energy (SFE) methods to evaluate adhesive properties and moisture susceptibility under varying environmental conditions . Moreover, he integrates artificial intelligence and machine learning models like neural networks to predict and validate failure mechanisms . Amir has contributed significant insights into low-temperature cracking, anti-freezing agents, and the chemical behavior of mixtures exposed to acidic environments. His interdisciplinary approach, merging material science with predictive analytics, aims to enhance the longevity and reliability of road infrastructures making his research vital for sustainable urban development.

Award and Honor

Mr.  Amir Hossein Asadi is a multi-award-winning researcher recognized for his outstanding work in transportation engineering . He is a registered member of the Petroleum Engineering Awards  and has been nominated for prestigious accolades such as the Best Researcher Award, Best Innovation Award, Excellence in Research, and Best Research Scholar Award . His papers have been published in top-tier journals like Scientific Reports, Construction and Building Materials, and Journal of Materials in Civil Engineering all Q1 ranked and with high impact factors . Asadi’s innovative use of nanotechnology and AI in asphalt engineering has earned acclaim both academically and in professional practice. His role as a peer reviewer and conference speaker further underscores his commitment to advancing knowledge in the field . His blend of academic excellence and industry relevance marks him as a leading figure in infrastructure innovation.

Research Skill

Mr.  Amir Hossein Asadi possesses a robust set of research skills across computational modeling, materials testing, and engineering design . He excels in thermodynamic and mechanical analysis of asphalt mixtures, especially under extreme temperature and moisture conditions . His proficiency with surface free energy (SFE) analysis, fatigue testing, and AI-based modeling particularly artificial neural networks makes his work highly predictive and data-driven . He is adept at laboratory experimentation involving nanomaterials, anti-freezing agents, and modified bitumen formulations. Amir also shows competence in interpreting and publishing findings in high-impact journals, ensuring scientific rigor and relevance . In consultancy, he applies these skills to real-world projects like highway safety enhancements and structural supervision. His balanced command of both theory and application enhances the impact and accuracy of his research contributions, making him a versatile and skilled transportation engineer .

Publication Top Notes

Title: Investigating the effect of fundamental properties of materials on the mechanisms of thermal cracking of asphalt mixtures
Authors: GH Hamedi, AH Asadi, J Zarrinfam
Journal: Construction and Building Materials, Vol. 411, Article 134426
Year: 2024
Cited by: 13

Title: Using mechanical and thermodynamic methods to evaluate the effects of nanomaterials on thermal cracking mechanisms of asphalt mixtures under the influence of different moisture conditions
Authors: AH Asadi, GH Hamedi, A Azarhoosh
Journal: Case Studies in Construction Materials, Vol. 22, Article e04310
Year: 2025
Cited by: 7

Title: Evaluating the effects of nanomaterials on thermal cracking of HMA in the presence of moisture with different degrees of acidity
Authors: AH Asadi, GH Hamedi, A Azarhoosh
Journal: Journal of Materials in Civil Engineering, Vol. 37(5), Article 04025096
Year: 2025
Cited by: 4

Title: Effect of surface free energy and mix design parameters on low-temperature cracking of hot mix asphalt
Authors: GH Hamedi, J Zarrinfam, AH Asadi
Journal: Journal of Traffic and Transportation Engineering (English Edition)
Year: 2025
Cited by: 2

Title: Evaluating mechanical and thermodynamic properties of asphalt mixtures containing anti-freezing agents against low temperature cracking
Authors: GH Hamedi, MH Dehnad, AH Asadi
Journal: Scientific Reports, Vol. 15(1), Article 26143
Year: 2025
Cited by: 1

Title: Effects of calcined dolomite on the fatigue performance of asphalt concrete affected by water with variable acidity
Authors: M Mehdinazar, GH Hamedi, AH Asadi
Journal: Scientific Reports, Vol. 15(1), Article 24359
Year: 2025
Cited by: 1

Conclusion

Mr. Amir Hossein Asadi represents an exemplary blend of academic insight and engineering application. His research has already influenced how thermal cracking, moisture damage, and nanomaterials are approached in asphalt engineering. With multiple peer-reviewed contributions, growing citations, and a leadership role in both research and practice, he is highly deserving of the Top Researcher Award.

Kurban Yasar | Agricultural Science and Innovation | Best Industrial Research Award

Published on by Research Scientist

Assist. Prof. Dr. Kurban Yasar | Agricultural Science and Innovation | Best Industrial Research Award

Assist. Prof. Dr at Osmaniye Korkut Ata University, Turkey

Assist. Prof. Dr. Kurban Yasar is an accomplished Assistant Professor in Food Engineering at Osmaniye Korkut Ata University, Türkey.  With over two decades of experience in food science, dairy technology, and functional foods, he has become a respected scholar in the field. His research focuses on improving food quality, safety, and processing methods, particularly in dairy and fermented products like Kashar and Ezine cheese . He has authored numerous high-impact journal articles and led various national projects in Turkey. Dr. Yaşar has supervised many graduate theses, emphasizing innovation in traditional food products and dietary improvements. With expertise in proteolysis, sensory evaluation, and functional ingredient use, he bridges scientific rigor with industry relevance . His work contributes significantly to advancing food engineering systems, making him a standout candidate for awards in engineering systems research, sustainability, and smart food technologies .

Professional Profile

Scopus Profile | ORCID Profile

Education

Assist. Prof. Dr. Kurban Yasar holds a Ph.D. in Food Engineering from Çukurova University  , where he explored the effects of coagulating enzymes and ripening time on Kashar cheese. He earned his M.Sc. from Trakya University , focusing on the impact of vacuum-packing methods on cheese quality . His undergraduate degree was completed at Atatürk University , where he laid the foundation for his scientific career in food engineering. Throughout his academic path, Dr. Yaşar developed deep expertise in dairy technology, food processing, and biochemistry. His studies consistently emphasized traditional Turkish dairy products, applying scientific rigor to enhance safety, nutrition, and sensory appeal . His strong educational foundation has shaped his long-term contributions to academia, making him a trusted expert in food quality innovation, food microbiology, and processing optimization .

Experience 

Assist. Prof. Dr. Kurban Yasar began his academic journey as a Research Assistant at Çanakkale Onsekiz Mart University and Çukurova University. He became an Assistant Professor at Çanakkale Onsekiz Mart University  and then joined Osmaniye Korkut Ata University in , where he continues to contribute to teaching and research in Food Engineering . Over his career, he has managed and participated in numerous national and institutional projects, focusing on food quality, dairy fermentation, ice cream innovations, and functional food development  Dr. Yaşar is also a prolific mentor, having supervised over ten graduate theses. His expertise in rheology, food texture analysis, and compositional studies has made him a key contributor to food process optimization. Through these roles, he has demonstrated a strong commitment to research excellence and academic leadership, building a legacy of innovation and impactful publications across multiple food systems .

Research Interest

Assist. Prof. Dr. Kurban Yasar research interests lie primarily in dairy technology , food quality optimization , functional ingredients , and traditional Turkish fermented products. He specializes in rheology, proteolysis, and food safety, often applying experimental techniques to improve texture, flavor, and nutritional profiles. His recent work explores reducing sodium content in cheese, incorporating plant-based stabilizers, and enhancing shelf-life of traditional foods without compromising taste . He is also engaged in aflatoxin reduction in peanut oil and enriching ice creams and yogurts with dietary fibers and prebiotics . His multidisciplinary focus blends food chemistry, biochemistry, microbiology, and process engineering, making his research highly applicable in the context of health-focused and sustainable food systems. Dr. Yasar’s deep commitment to advancing science in both industrial and artisanal food production positions him as a vital contributor to engineering systems in food innovation .

Award and Honor

Assist. Prof. Dr. Kurban Yasar is a prominent researcher with multiple recognitions, though many of his contributions have come through national and institutional projects . He served as principal investigator on numerous university-backed studies and received support from TÜBİTAK (The Scientific and Technological Research Council of Turkey) for his innovative food engineering research  His project on probiotic yogurt development and aflatoxin mitigation in peanuts have had regional impact . While formal global awards may not yet be documented, his pioneering work in functional dairy products, food safety, and smart ingredient utilization make him an ideal nominee for honors such as the Engineering Systems Scholar Recognition, Smart Systems Innovation Award, or AI in Systems Engineering Award. His leadership in research projects and thesis supervision further reflects his academic excellence, innovation, and dedication to sustainable food engineering practices .

Research Skill

Assist. Prof. Dr. Kurban Yasar possesses a comprehensive set of research skills in food science and engineering . His expertise spans experimental design, sensory evaluation, rheological analysis, proteolysis monitoring, and chemical/microbiological quality control. He excels in dairy fermentation, fat replacement techniques, and product texture optimization . His lab skills include analytical chemistry, food simulation, and stabilizer evaluation in beverages and dairy. Additionally, he applies advanced data analysis for product characterization, including degradation kinetics, flow modeling, and volatile compound identification . Dr. Yaşar is skilled in mentoring graduate students and coordinating interdisciplinary research teams. His experience in grant writing, project management, and academic publishing enhances his leadership profile . With a focus on food safety, clean-label production, and sustainable processing, he demonstrates strong abilities in developing innovative, health-conscious, and consumer-appealing food products. These skills position him as a forward-thinking researcher in engineering systems and food technology .

Publication Top Notes

Title: Reducing sodium in Kashar cheese by partial substitution of NaCl with KCl
Authors: Yaşar, K.; Şahingil, D.; Hayaloğlu, A.A.
Year: 2025
Citation: Not yet cited (newly published)
DOI: 10.1016/j.idairyj.2025.106239

Title: The Effect of Different Stabilisers on the Quality Properties of Tahini Milk
Authors: Esma Aycan; Kurban Yaşar
Year: 2025
Citation: Not yet cited
DOI: 10.18016/ksutarimdoga.vi.1563485

Title: The Effect of Peanut Tahini Utilization on the Mineral Content of Halva
Authors: Venüs Karakuş; Kurban Yaşar
Year: 2025
Citation: Not yet cited
DOI: 10.17780/ksujes.1559065

Title: Impact of different extraction processes on aflatoxin contamination in peanut oil
Authors: Sahin, K.; Bozdogan, A.; Yasar, K.; Eker, T.; Kabak, B.
Year: 2022
Citation: Scopus ID: 85118866037
DOI: 10.1007/s13197-021-05296-x

Title: Rheological behavior of sumac extract as affected by temperature and concentration
Authors: Bozdogan, A.; Yasar, K.; Soyler, M.; Ozalp, C.
Year: 2020
Citation: Scopus ID: 85090718869
DOI: 10.33263/BRIAC106.71207134

Title: Effects of apricot fibre on characteristics of nonfat probiotic yoghurts
Authors: Karaca, O.B.; Güzeler, N.; Tangüler, H.; Yaşar, K.; Akın, M.B.
Year: 2019
Citation: Scopus ID: 85063287674
DOI: 10.3390/foods8010033

Title: Changes during ripening in Kashar cheese made using different milk types
Authors: Temizkan, R.; Yasar, K.; Hayaloglu, A.A.
Year: 2014
Citation: Scopus ID: 84940272239
DOI: 10.1111/ijfs.12597

Title: Characterizing volatile compounds in Gokceada artisanal goat cheese
Authors: Hayaloglu, A.A.; Yasar, K.; Tolu, C.; Sahingil, D.
Year: 2013
Citation: Scopus ID: 84878375595
DOI: 10.1016/j.smallrumres.2013.01.001

Title: Influence of goat breeds and starter cultures on Gokceada cheese
Authors: Hayaloglu, A.A.; Tolu, C.; Yasar, K.
Year: 2013
Citation: Scopus ID: 84878372148
DOI: 10.1016/j.smallrumres.2013.03.001

Title: Volatiles and sensory evaluation of Gokceada goat milk cheese
Authors: Hayaloglu, A.A.; Tolu, C.; Yasar, K.; Sahingil, D.
Year: 2013
Citation: Scopus ID: 84876740635
DOI: 10.3168/jds.2012-6170

Title: Effects of coagulant type on Kashar cheese properties
Authors: Yasar, K.; Guzeler, N.
Year: 2011
Citation: Scopus ID: 79960350909
DOI: 10.1111/j.1471-0307.2011.00679.x

Title: Characterization of aroma-active compounds in Ezine cheese
Authors: Karagul Yuceer, Y.; Tuncel, B.; Guneser, O.; Engin, B.; Isleten, M.; Yasar, K.; Mendes, M.
Year: 2009
Citation: Scopus ID: 70349462643
DOI: 10.3168/jds.2009-2124

Title: Dynamic rheological characterization of salep-based beverages
Authors: Yaşar, K.; Kahyaoglu, T.; Şahan, N.
Year: 2009
Citation: Scopus ID: 60149112636
DOI: 10.1016/j.foodhyd.2008.11.005

Title: Rheological and sensory characteristics of ice creams with fat replacers
Authors: Karaca, O.B.; Güven, M.; Yasar, K.; Kaya, S.; Kahyaoglu, T.
Year: 2009
Citation: Scopus ID: 58249103968
DOI: 10.1111/j.1471-0307.2008.00456.x

Title: Influence of fat replacers on low-fat Kashar cheese quality
Authors: Sahan, N.; Yasar, K.; Hayaloglu, A.A.; Karaca, O.B.; Kaya, A.
Year: 2008
Citation: Scopus ID: 43049135190
DOI: 10.1017/S0022029907002786

Conclusion

Assist. Prof. Dr. Kurban Yasar stands out as a dedicated academic and innovator in the field of food engineering, with a special focus on dairy technology, functional ingredients, and traditional Turkish food systems. His work bridges academic excellence with industry needs, offering practical solutions for enhancing food quality, safety, and sustainability. With extensive experience in proteolysis, rheology, and food microbiology, Dr. Yasar’s research is both rigorous and forward-thinking. His publications in high-impact journals, backed by his role in national projects and thesis supervision, demonstrate his strong leadership in academic and industrial food innovation. He is a recipient of the Best Industrial Research Award, recognizing his ability to merge scientific research with real-world applications. With a passion for innovation and health-focused food systems, Dr. Yasar continues to shape the future of food science through evidence-based research, mentoring, and collaborative initiatives. His contributions make him a key figure in smart and sustainable food technologies.

Nadin Alherimi | Engineering System Management | Best Researcher Award

Published on by Research Scientist

Mrs. Nadin Alherimi | Engineering System Management | Best Researcher Award

Research Teaching Assistant at American University of Sharjah, United Arab Emirates

Mrs.  Nadin Alherimi is a driven Ph.D. Candidate in Engineering Systems Management at the American University of Sharjah , specializing in the digital transformation of cold chain logistics . With an impressive Master’s, she has contributed extensively to peer-reviewed journals and Q1 publications . A bilingual professional fluent in Arabic and English   Nadin blends academic excellence with real-world experience, having worked as a graduate assistant and intern in industry-leading environments . Her work emphasizes ROI analysis, energy consumption optimization, and Industry 4.0 integration . Nadin is passionate about leveraging AI and lean methodologies to enhance supply chain efficiency . She is recognized for her leadership, research acumen, and commitment to innovation .

Professional Profile

GOOGLE SCHOLAR | ORCID PROFILE

Education

Mrs. Nadin Alherimi has built a robust academic foundation in engineering and management . She earned her Bachelor of Science in Industrial Engineering and Engineering Management from the University of Sharjah , graduating with a  She continued her studies with a Master of Science in Engineering Management , achieving a perfect Currently, she is pursuing her Ph.D. in Engineering Systems Management at the American University of Sharjah  , with a dissertation focused on Cold Chain and Digital Transformation . Her academic path reflects a deep commitment to excellence and a clear alignment with her research interests in logistics, quality control, and Industry  integration .

Experience

Mrs.  Nadin Alherimi brings valuable experience from both academia and industry . As a Graduate Research and Teaching Assistant at the American University of Sharjah , she leads tutorial sessions, assists in teaching operations and statistics, and mentors undergraduates . Previously, she was a Research Assistant at the University of Sharjah , co-authoring papers and conducting both qualitative and quantitative research for scholarly publications . She also gained hands-on industry insight during her Supply Chain & Estimation Internship at NAFFCO FZCO in contributing to quality standards and cost estimations for firefighting equipment . Nadin Alherimi well-rounded experience in research, teaching, and practical engineering makes her a dynamic contributor in both academic and professional spheres .

Research Interest

Mrs. Nadin Alherimi research is centered on the digital transformation of supply chains, with a strong focus on cold chain logistics , Industry 4.0 integration , and energy consumption optimization . Her interests span Lean Six Sigma, quality control, and the application of AI in smart logistics . She investigates ROI analysis and simulation modeling to support decision-making in logistics and warehousing environments. Additionally, she explores employee behavioral patterns in sustainable practices  and optimization in control chart design. Nadin’s multidisciplinary approach combines engineering management, data analytics, and sustainability, driving innovation at the intersection of operations research and digital technologies .

Award and Honor

Mrs.  Nadin Alherimi academic journey speaks volumes of her excellence , her consistent  in her Master’s program  and near-perfect record during her Bachelor’s degree  are testaments to her academic rigor and commitment to quality . Her role as a co-author in high-impact Q1 journals and IEEE publications reflects her active engagement with top-tier research communities. Additionally, she has received opportunities to work as a teaching and research assistant at leading UAE universities, which are competitive appointments awarded to top-performing scholars . Though not listed with formal medals or awards, her scholarly impact and leadership in research circles offer recognition of a different kind—through citations, collaboration, and contributions to innovation .

Research Skill

Mrs. Nadin’s Alhrimi research skills span a robust mix of technical, analytical, and professional proficiencies . Technically, she is adept in tools such as SAP S/4HANA, Arena, Minitab, SAS OnDemand, AutoCAD, and Arduino UNO . Her methodological toolkit includes quantitative and qualitative research, Lean Six Sigma, digital transformation modeling, data analytics, and simulation modeling . She is skilled in academic writing, literature review synthesis, and peer-reviewed publishing . Professionally, she excels in project management, team collaboration, and leadership . With a solid foundation in supply chain management and operations research, Nadin’s analytical rigor and systems-thinking approach enable her to tackle complex problems in dynamic environments.

Publication Top Notes

Title: Prioritizing ERP System Selection Challenges in UAE Ports: A Fuzzy Delphi and Relative Importance Index Approach
Authors: N. Alherimi, A. Alyaarbi, S. Ali, Z. Bahroun, V. Ahmed
Year: 2025
Citations: – (Not yet cited or citation data unavailable)

Title: Author Correction: Employees’ pro-environmental behavior in an organization: a case study in the UAE
Authors: N. Alherimi, Z. Marva, K. Hamarsheh, A. Alzaatreh
Year: 2024
Citations: – (Correction notice; citation typically attributed to the original)

Title: A systematic review of optimization approaches employed in digital warehousing transformation
Authors: N. Alherimi, A. Saihi, M. Ben-Daya
Year: 2024
Citations: – (No citation count listed yet)

Title: Employees’ pro-environmental behavior in an organization: a case study in the UAE
Authors: N. Alherimi, Z. Marva, K. Hamarsheh, A. Alzaatreh
Year: 2024
Citations: 23

Title: Optimization design of control charts: A systematic review
Authors: S. Haridy, A. Maged, N. Alherimi, M. Shamsuzzaman, S. Al‐Ali
Year: 2024
Citations: 5

Title: Deployment of Lean Six Sigma DMAIC methodology to improve productivity of a can manufacturing industry
Authors: M. Shamsuzzaman, N. AlHerimi, S. Haridy, A. Shamsuzzoha, F. Abumadi, …
Year: 2023
Citations: 3

Conclusion

Mrs. Nadin Alherimi is a highly qualified nominee for the Best Researcher Award, representing a new generation of scholars who blend practical engineering solutions with future-forward digital innovation. Her research is methodologically sound, socially relevant, and globally significant making her a standout candidate for this prestigious recognition.

Nikolay Kiktev | Computer Science | Best Researcher Award

Published on by Research Scientist

Dr. Nikolay Kiktev | Computer Science | Best Researcher Award

Associate Professor at National University of Life and Environmental of Ukraine, Ukraine

Dr.  Nikolay Kiktev  Ukraine, is a dedicated Associate Professor and Candidate of Technical Sciences specializing in automation and robotic systems . With over 25 years of professional and academic experience, he has played key roles in developing information-management systems for industries such as food, coal, and energy. He has contributed extensively to digital transformation projects in educational institutions across Donetsk . Currently serving at both the Taras Shevchenko National University of Kyiv and the National University of Bioresources and Environmental Management, he teaches a range of cutting-edge subjects in automation, robotics, and data analytics . A prolific researcher with over 120 publications, 41 indexed in Scopus, he holds two patents and continues to mentor students in various engineering disciplines . His work bridges academic excellence and industrial innovation, particularly in AI-integrated systems and sustainable technologies .

Professional Profile

ORCID Profile | Google Scholar 

Education

Dr.  Nikolay Kiktev holds a Specialist Diploma in Systems Engineering  from Donetsk State Technical University , majoring in “Automated Information Processing and Control Systems” . He earned his Ph.D. (Candidate of Technical Sciences)  from the National University of Food Technologies, specializing “Automation of Management Processes” . His dissertation focused on automating technological processes involving carbon dioxide salt production . In 2020, he received the title of Associate Professor in the Department of Automation and Robotic Systems . His academic journey reflects deep technical expertise and a strong foundation in process automation, cyber-physical systems, and advanced engineering methodologies . His educational background has been pivotal in his successful teaching and research career, allowing him to train the next generation of engineers in Ukraine and contribute to national technological development .

Experience

Dr.  Nikolay Kiktev began his career as a software engineer  at the Temp Defense Industry Association in Donetsk . He pursued graduate studies while engaging in research projects related to automation in chemical processes . From 1999–2002, he taught at Donetsk National Technical University and other institutes. From 2002–2010, he served as Director of the Donetsk City Council’s Methodological Center for Computerization, leading large-scale digital education infrastructure projects . He briefly worked in private industry supplying IT and telecom solutions for coal and power sectors . He has held academic posts at the National University of Bioresources and Environmental Management and Taras Shevchenko National University of Kyiv, advancing to Associate Professor. He teaches diverse automation and robotics courses, supervises theses, and delivers specialized lectures across several Ukrainian universities .

Research Interest

Dr.  Nikolay Kiktev research revolves around intelligent automation and computer-integrated technologies . His focus areas include automated information-management systems for agriculture , electrochemical industries , compound feed production, and mining systems . He works on developing distributed information systems and software-hardware complexes that enhance control, efficiency, and sustainability of industrial processes . His interests extend into industrial and agricultural robotics, applying smart technologies to real-world production systems. He integrates geoinformatics, AI, and CAD into engineering curricula and projects . His interdisciplinary approach merges technical innovation with practical needs in automation, data processing, and system modeling . His international research footprint includes publications in journals from Bulgaria, Poland, Russia, and Switzerland , reflecting a strong commitment to global knowledge exchange. With a focus on advancing Industry 4.0 applications in Ukraine, Kiktev’s work contributes significantly to both academic knowledge and applied engineering development .

Award and Honor

Dr.  Nikolay Kiktev has received several distinctions over his career that recognize both academic excellence and applied innovation . He holds the official title of Associate Professor (2020) and earned his Candidate of Technical Sciences degree in 2011 for his pioneering work on electrochemical process automation . He was awarded two patents and three copyright certificates, demonstrating inventive contributions to process automation and information systems . With over 50 peer reviews  journals (such as MDPI) , he is an internationally recognized evaluator of scientific excellence. His extensive publication record includes 41 Scopus-indexed articles, reflecting high academic impact . He has contributed to national technology projects such as Ukraine’s “Digital City” education initiative . His leadership in these projects has had a transformative effect on digital infrastructure and education across Donetsk. With an h-index of 14, his influence in engineering research is substantial and growing .

Research Skill

Dr.  Nikolay Kiktev possesses robust research skills spanning automation, control systems, data analytics, and software-hardware integration . He is highly skilled in designing and modeling technological processes using modern CAD tools, developing distributed control systems, and implementing intelligent automation solutions . His expertise in electrochemical process modeling, experimental design, and algorithm development makes him a multidisciplinary innovator . He actively engages in patent drafting, system simulation, and software architecture for process management systems . With strong programming and data handling skills, he supervises student projects in data analytics and smart technology integration . His research involves cross-platform system development, geoinformatics, and IoT-based autonomous systems . As a seasoned educator, he imparts practical research techniques and computational methods to graduate and doctoral students . His contributions have strengthened Ukraine’s capacity in smart infrastructure and AI-enhanced automation systems .

Publication Top Notes

Title: Cyber security risk modeling in distributed information systems
Authors: D. Palko, T. Babenko, A. Bigdan, N. Kiktev, T. Hutsol, M. Kuboń, H. Hnatiienko, …
Journal: Applied Sciences, 2023
Citations: 43

Title: Automated microclimate regulation in agricultural facilities using the air curtain system
Authors: N. Kiktev, T. Lendiel, V. Vasilenkov, O. Kapralуuk, T. Hutsol, S. Glowacki, …
Journal: Sensors, 2021
Citations: 30

Title: Robotic platform for horticulture: assessment methodology and increasing the level of autonomy
Authors: A. Kutyrev, N. Kiktev, M. Jewiarz, D. Khort, I. Smirnov, V. Zubina, T. Hutsol, …
Journal: Sensors, 2022
Citations: 27

Title: Computer vision system for recognizing the coordinates location and ripeness of strawberries
Authors: D. Khort, A. Kutyrev, I. Smirnov, V. Osypenko, N. Kiktev
Conference: Int’l Conf. on Data Stream Mining and Processing, 2020
Citations: 27

Title: Robotized platform for picking of strawberry berries
Authors: D. Khort, A. Kutyrev, R. Filippov, N. Kiktev, D. Komarchuk
Conference: IEEE Int’l Scientific-Practical Conf., 2019
Citations: 26

Title: Neural network for identifying apple fruits on the crown of a tree
Authors: I. Smirnov, A. Kutyrev, N. Kiktev
Journal: E3S Web of Conferences, 2021
Citations: 25

Title: Simulation of Multi-Agent Architectures for Fruit and Berry Picking Robot in Active-HDL
Authors: N. Kiktev, A. Didyk, M. Antonevych
Conference:IEEE PIC S&T, 2020
Citations: 22

Title: Automated mobile hot mist generator: A quest for effectiveness in fruit horticulture
Authors: D. Khort, A. Kutyrev, N. Kiktev, T. Hutsol, S. Glowacki, M. Kuboń, T. Nurek, …
Journal: Sensors, 2022
Citations: 21

Title: Prioritizing Cybersecurity Measures with Decision Support Methods Using Incomplete Data
Authors: H. Hnatiienko, N.A. Kiktev, T. Babenko, A. Desiatko, L. Myrutenko
Conference: ITS, 2021
Citations: 21

Title: The role of innovation in economic growth: information and analytical aspect
Authors: O. Kalivoshko, V. Kraevsky, K. Burdeha, I. Lyutyy, N. Kiktev
Conference: IEEE PIC S&T, 2021
Citations: 19

Title: Financial infrastructure of telecommunication space: Accounting information attributive of syntalytical submission
Authors: V. Kraevsky, O. Kostenko, O. Kalivoshko, N. Kiktev, I. Lyutyy
Conference: IEEE Int’l Conf., 2019
Citations: 19

Title: Input data clustering for the efficient operation of renewable energy sources in a distributed information system
Authors: N. Kiktev, V. Osypenko, N. Shkurpela, A. Balaniuk
Conference: IEEE CSIT, 2020
Citations: 16

Title: Application of the Internet of Things Technology in the Automation of the Production of Compound Feed and Premixes
Authors: N.A. Kiktev, T. Lendiel, V. Osypenko
Journal/Conference: IT&I, 2020
Citations: 14

Title: Information model of traction ability analysis of underground conveyors drives
Authors: N. Kiktev, H. Rozorinov, M. Masoud
Conference: IEEE PTMR, 2017
Citations: 14

Conclusion

Dr. Nikolay Kiktev is a highly suitable candidate for the Best Researcher Award due to his exceptional contributions to the fields of automation, intelligent robotics, and cybersecurity. His research portfolio demonstrates a rare blend of interdisciplinary strength, combining advanced machine learning techniques with practical applications in agricultural robotics, computer vision, and distributed systems security. Notably, his works such as “Cybersecurity Risk Modeling in Distributed Information Systems” and “Computer Vision for Recognizing Strawberry Ripeness” have been widely cited, reflecting both academic recognition and practical relevance. Dr. Kiktev has consistently focused on solving real-world problems developing automated systems for climate control in agriculture, intelligent subsystems for feed accounting, and IoT-driven architectures for horticultural monitoring.