Nikolay Kiktev | Computer Science | Best Researcher Award

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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.

Kaan Kocali | Occupational Health and Safety | Best Researcher Award

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Assist. Prof. Dr. Kaan Kocali | Occupational Health and Safety | Best Researcher Award

Occupational Health and Safety at Istanbul Gelisim University, Turkey

Assist. Prof. Dr. Kaan Kocali  is an esteemed academic at Istanbul Gelisim University’s Vocational School, specializing in Occupational Health and Safety . With an impressive multidisciplinary background in mining engineering, entrepreneurship, and occupational risk management, he combines field expertise with academic rigor. He has published extensively on workplace safety, ergonomics, and risk assessment . Known for his active roles in curriculum development, Erasmus coordination, and ethics committees, Dr. Koçalı is a driving force in integrating practical safety knowledge into education and industry collaboration . His teaching spans a wide range of technical and regulatory safety courses, making him a key mentor in shaping future safety professionals. Through his leadership and research, he contributes to creating sustainable, hazard-free work environments .

Professional Profile

ORCID PROFILE | SCOPUS PROFILE

Education

Assist. Prof. Dr. Kocalı educational journey is rich and interdisciplinary. He began with a BSc in Mining Engineering from Istanbul University-Cerrahpaşa , followed by two master’s degrees in Mining and Occupational Health & Safety from the same institution and Istanbul Aydın University respectively . He completed a Ph.D. in Health and Safety at Istanbul Aydın University . Alongside, he earned an undergraduate degree in Business Administration at Anadolu University and is currently studying Entrepreneurship at Istanbul Kültür University . His credentials are complemented by numerous certifications in ISO standards, risk management, fire safety, and NEBOSH/IOSH-accredited trainings . These academic pursuits reflect a strong commitment to merging technical, managerial, and regulatory dimensions of workplace safety.

Experience

Assist. Prof. Dr. Koçalı has served as an Assistant Professor at Istanbul Gelişim University . His roles include Head of Department, Erasmus Coordinator, and Curriculum Board Member . He actively participates in several university committees like the Ethics Committee, Internship Board, and Performance Evaluation Commission . With more than 20 safety and engineering-related certifications under his belt, he is also a licensed A-Class Occupational Safety Specialist. His teaching covers risk management, industrial hygiene, fire safety, and integrated management systems . Prior to academia, his mining and engineering training laid the groundwork for a career focused on reducing industrial hazards and implementing high-impact safety systems in the field. His work bridges academia, industry, and regulatory compliance .

Research Interest

Assist. Prof. Dr. Kocalı research interests focus on Occupational Health and Safety (OHS) , ergonomics, workplace risk analysis, and regulatory compliance . He explores interdisciplinary methods for minimizing workplace hazards in sectors like mining, logistics, and manufacturing . His Ph.D. dissertation proposed a legal responsibility tracking system for mine supervisors, reflecting a blend of safety engineering and legal oversight . He also investigates occupational disease prevention, fire safety systems, and emergency preparedness . Recently, he has expanded into integrated management systems  and digital safety audits . Dr. Koçalı contributes to building a scientific foundation for proactive safety culture, workplace health promotion, and ethical safety training programs across industries .

Award and Honor

Assist. Prof. Dr. Kocalı has been recognized with multiple professional honors reflecting his leadership in occupational safety and academic excellence . He holds A-Class Occupational Safety Certification and is a certified educator by Turkey’s General Directorate of Occupational Health and Safety . He has completed elite safety training programs under NEBOSH and IOSH, earning international acknowledgment . His certifications in quality, environmental, and food safety systems  underscore his integrated approach to safety . He frequently serves on performance and ethics committees, curriculum panels, and academic councils—highlighting his impact not only in teaching and research but also in institutional development and student mentorship .

Research Skill

Assist. Prof. Dr. Kocalı brings a diverse research skillset including qualitative and quantitative risk assessment, hazard identification, and safety culture evaluation . He is proficient in developing and evaluating integrated management systems. His work often involves regulatory analysis, incident trend forecasting, and occupational ergonomics modeling . He uses surveys, legal frameworks, and simulation tools to evaluate compliance, workforce awareness, and equipment safety. His experience with digital software tools allows for data-driven decision-making in both academic and industrial environments . As an educator, he also designs training methodologies and modules to transfer safety knowledge effectively to diverse learner groups .

Publication Top Notes

Title: An Ergonomic Perspective on the Analysis of Postural Behaviors of Factory Workers
Author: Kaan Kocalı
Conference: 1st International Conference on Pioneer and Academic Research
Year: 2025

Title: Analysis of Work Accidents in Shipyards and Preventive Strategies: An Evaluation with AHP Method
Authors: Kaan Koçalı, Efe Erin, Emine Öztürk Koçalı
Conference: 10th International Congress of Scientific Research and Innovation
Year: 2025

Title: Assessment of Occupational Health and Safety Risks in Disaster Logistics Operations
Author: Kaan Koçalı
Conference: 4th International Conference on Trends in Advanced Research
Year: 2025

Title: Geleceğin İş Gücünde Yapay Zeka Destekli Güvenlik: Küresel Eğilimler, Fırsatlar ve Karşılaşılan Güçlükler
Author: Kaan Koçalı
Conference: 5th International Conference on Contemporary Academic Research
Year: 2025

Title: Madencilikte Acil Durum ve Tahliye Planlarının Etkinliği: Simülasyon ile Senaryo Tabanlı Bir Analiz
Authors: Hakan Erdoğan, Kaan Koçalı
Conference: VI. Ulusal İş Sağlığı ve Güvenliği Öğrenci Kongresi
Year: 2025

Title: Posture Risks of Industrial Workers: Ergonomic Assessment with REBA Method on Assembly Lines
Author: Kaan Koçalı
Conference: 2nd Management and Organization Association International Social Sciences Conference
Year: 2025

Title: Reflections of the Occupational Health and Safety Law No 6331 on Places of Worship
Author: Kaan Koçalı
Conference: 16th International Congresses on Social, Humanities, Administrative, and Educational Sciences
Year: 2025

Title: Syrian Migrant Workers and Occupational Health and Safety: Problems Encountered and Policy Recommendations
Authors: Kaan Koçalı, Murat Başal
Conference: TAM 4th International Social Sciences Congress
Year: 2025

Title: Systematic Analysis of Occupational Health and Safety Risks in Air Logistics
Author: Kaan Koçalı
Conference: 4th International Conference on Trends in Advanced Research
Year: 2025

Title: Thematic Evolution of Occupational Health and Safety Management Research in SMEs
Author: Kaan Koçalı
Conference: International Congress on Health Sciences, Occupational Health and Safety
Year: 2025

Title: Transformation Analysis of Occupational Health and Safety Policies in Turkiye within the EU Harmonization Process
Authors: Kaan Koçalı, Türker Yapan
Year: 2025

Conclusion

Assist. Prof. Dr.  Kocalı research stands at the intersection of science, society, and technology. His field-informed, legally-aware, and sustainability-conscious approach to safety research demonstrates not just academic excellence but transformative real-world impact. With a strong portfolio of applied science, global certifications, and academic leadership, he is a highly deserving candidate for the Best Researcher Award, particularly in fields related to engineering, safety science, and multidisciplinary applied research.

Ruzayn Quaddoura | Computer Science | Best Researcher Award

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Assoc. Prof.Dr.Ruzayn Quaddoura | Computer Science | Best Researcher Award

Zarqa University, Jordanian

Dr. Ruzayn Quaddoura 🇯🇴 is a renowned academic and researcher in the field of computer science, specializing in combinatorial optimization and algorithmic graph theory. he has over two decades of teaching and research experience . Currently serving as Assistant Professor at Zarqa University in Jordan , he has also held teaching positions in Saudi Arabia 🇸🇦, France 🇫🇷, and Syria 🇸🇾. Dr. Quaddoura has made significant contributions to the study of NP-hard problems, scheduling algorithms, and digraph structures . He has authored numerous peer-reviewed publications in prestigious journals and conferences worldwide . Multilingual in Arabic, English, and French , he actively engages in academic committees, technical boards, and student mentorship. His dedication to quality education and advanced algorithm research positions him as a leading voice in theoretical computer science .

🔹Professional Profile

ORCID

🔹 Education & Experience

Dr. Quaddoura’s academic foundation was laid at Damascus University 🇸🇾, where he earned his Bachelor’s and Postgraduate Diploma in Mathematics . He then pursued a Diploma in French Language 🇫🇷 and later completed an MSc (DEA) in Operations Research – Combinatorial Optimization at INPG, Grenoble . He culminated his academic training with a PhD in Algorithmic Graph Theory from the University of Picardie Jules Verne, France .His professional journey began as a lecturer in Syria and France, before moving into Assistant Professor roles at Princess Sumaya University, Zarqa University, and King Abdulaziz University . Since 2011, he has been a key faculty member at Zarqa University’s Faculty of Information Technology. His teaching areas include algorithms, data structures, discrete mathematics, and compilers . His global academic experience and strong theoretical background reflect a career devoted to advancing computer science education and research .

🔹 Professional Development 

Throughout his career, Dr. Quaddoura has actively contributed to academic growth, institutional leadership, and scholarly collaboration . He has served on various academic committees at Zarqa University, including the Scientific Committee, Study Plan Committee, and Course Equivalence Committee. As Chairman of Exams and Committee Leader, he has shaped curriculum and assessment strategies with excellence.He played similar roles at King Abdulaziz University, contributing to master’s program oversight and curriculum development in computing and information technology . His refereeing activities include serving on the technical committees of prominent journals and conferences like IAJIT and ACIT . Additionally, he managed the Colleges of Computing and Information Society office in 2015, demonstrating organizational and strategic leadership.His professional footprint showcases not only academic rigor but also collaborative leadership, quality assurance, and international engagement in the computing education community .

🔹 Research Focus Category 

Dr. Ruzayn Quaddoura’s primary research lies in Theoretical Computer Science, focusing on Combinatorial Optimization, Algorithmic Graph Theory, and Complexity Theory . His work explores the deep structure of graphs, creating efficient solutions to NP-hard problems using novel algorithmic techniques . From linear-time scheduling algorithms for specific graph families to optimization in series-parallel digraphs and bipartite graphs, his research bridges abstract theory and real-world computational problems .He has also extended his expertise to applied fields such as the Internet of Things (IoT), encryption, and machine learning in wildfire detection . His publications in top-tier journals like IAJIT, Algorithms, and Symmetry highlight his contributions to both pure and applied research .Dr. Quaddoura’s innovative approaches to graph decomposition, structural analysis, and algorithmic efficiency contribute significantly to solving modern computing challenges through mathematical elegance and logical precision .

🔹 Awards and Honors 

 Dr. Quaddoura’s academic excellence has been recognized through several prestigious awards and honors. He earned a First Rank Honor Certificate from Damascus University in 1992 for academic distinction in Mathematics . He received a scholarship from INPG (France) for his MSc in Combinatorial Optimization and another scholarship from Picardie Jules Verne University to pursue his PhD in Theoretical Computer Science , In 2014, he was honored with a Recognition Paper Award from the World of Computer Science and Information Technology Journal for his innovative algorithm on induced matchings in bipartite graphs .These accolades reflect his commitment to research excellence, international academic collaboration, and impactful contributions to the field of computer science 🌍🔬.His scholarly achievements not only affirm his status as a leading researcher but also inspire a generation of students and scientists dedicated to algorithmic innovation and problem-solving .

🔹Publication of Top Notes

1. The Clique-Width of Minimal Series-Parallel Digraphs

Authors: Frank Gurski, Ruzayn Quaddoura
Year: 2025
Citation: Algorithms, 2025-05-28. DOI: 10.3390/a18060323

2.Early Wildfire Smoke Detection Using Different YOLO Models

Authors: Yazan Al-Smadi, Mohammad Alauthman, Ahmad Al-Qerem, Amjad Aldweesh, Ruzayn Quaddoura, Faisal Aburub, Khalid Mansour, Tareq Alhmiedat
Year: 2023
Citation: Machines, 2023. DOI: 10.3390/machines11020246

3. Internet of Things Protection and Encryption: A Survey

Authors: Ghassan Samara, Ruzayn Quaddoura, M. I. Al-Shalout, K. AL-Qawasmi, G. A. Besani
Year: 2022
Citation: arXiv, 2022. DOI: 10.48550/arxiv.2204.04189

4.Scheduling UET-UCT DAGs of Depth Two on Two Processors

Authors: Ruzayn Quaddoura, Ghassan Samara
Year: 2022
Citation: arXiv, 2022. DOI: 10.48550/arxiv.2203.15726

5. Scheduling UET-UCT DAGs of Depth Two on Two Processors

Authors: Ruzayn Quaddoura, Ghassan Samara
Year: 2021
Citation: 22nd International Arab Conference on Information Technology (ACIT), 2021. DOI: 10.1109/ACIT53391.2021.9677100

6.On 2-Colorability Problem for Hypergraphs with P₈-Free Incidence Graphs

Authors: Ruzayn Quaddoura
Year: 2020
Citation: International Arab Journal of Information Technology, 2020. DOI: 10.34028/iajit/17/2/14

🧾 Conclusion

Dr. Ruzayn Quaddoura is highly suitable for the Best Researcher Award. His research exhibits a rare balance of theoretical depth and practical relevance, particularly in the areas of graph theory, AI for environmental monitoring, and cybersecurity. His ongoing contributions to both academia and applied science solidify his standing as a leading and impactful researcher deserving of recognition.

Chaoli Zhang | Computer Science | Best Researcher Award

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Assist. Prof. Dr ChaoliZhang | Computer Science | Best Researcher Award

Lecturer at Zhejiang Normal University, China

Dr. Chaoli Zhang is a Lecturer at the College of Computer Science and Technology, Zhejiang Normal University . He received his Ph.D. in Computer Science and Technology from Shanghai Jiao Tong University  and has previously worked at Alibaba DAMO Academy as a Senior Engineer . With deep expertise in time series anomaly detection, intelligent systems, and wireless data center networks , he has authored several influential papers in top-tier conferences and journals like IEEE ToN, KDD, and CIKM . He holds multiple patents in AI-driven fault detection and data analysis . Known for blending academic excellence with industrial innovation , he actively contributes to national and provincial-level research projects. His work has earned him prestigious recognitions, including a championship in a global 5G fault localization challenge . Dr. Zhang continues to push the boundaries of AI applications in realworld intelligent systems .

🔹Professional Profile

GOOGLE SCHOLAR

🎓 Education & Experience

Dr. Zhang obtained his bachelor’s degree in Information Security and Law from Nankai University (2011–2015)  and earned his Ph.D. from Shanghai Jiao Tong University (2015–2020) in Computer Science and Technology . After completing his doctorate, he worked from 2020 to 2023 at the Machine Intelligence Lab of Alibaba DAMO Academy , where he led advanced AI projects related to anomaly detection and intelligent monitoring . Since January 2024, he has served as a Lecturer at Zhejiang Normal University, where he continues research in AI and teaches advanced computing topics . His education blends theoretical depth with multidisciplinary training, while his work experience bridges top-tier academia and cutting-edge industry R&D . This combination allows him to explore highly applied, intelligent systems with real-world impact .

📈 Professional Development

Dr. Zhang has demonstrated rapid professional growth through impactful roles in both academia and industry . At Alibaba DAMO Academy, he focused on intelligent systems for real-time anomaly detection in large-scale infrastructure . He has since transitioned into academia, taking a faculty role at Zhejiang Normal University where he now leads funded research projects on smart healthcare analytics and IoT anomaly diagnostics . His professional development is characterized by an emphasis on translational research—converting algorithms into deployable solutions for real-world systems . As a project leader, he has secured competitive funding from the Zhejiang Natural Science Foundation and municipal science programs . Dr. Zhang regularly presents at global conferences (e.g., KDD, CIKM), reflecting his active engagement with the international research community . With a strong portfolio of publications, patents, and leadership, his professional path exemplifies AI-driven innovation and academic-industrial synergy .

🧠 Research Focus

Dr. Chaoli Zhang’s research interests lie at the intersection of time series anomaly detection, intelligent computing, and wireless data center networks . He develops novel algorithms for fault root cause analysis, time-frequency decomposition, and multivariate data analysis . His work on models like TFAD and DCdetector introduces advanced methods combining attention mechanisms, contrastive learning, and decomposition techniques for real-time monitoring . His recent projects also explore heterogeneous IoT anomaly detection and healthcare time series analysis, contributing to the development of robust, interpretable, and scalable AI systems . These innovations support applications in smart cities, cloud platforms, and industrial diagnostics ⚙️. With a foundation in graph modeling and deep learning, Dr. Zhang’s research aims to enhance system resilience, operational intelligence, and automation reliability across complex environments .

🏅 Awards & Honors

Dr. Zhang has earned several notable awards that reflect the excellence and impact of his research work . He was the champion of the 2022 SP Grand Challenge on 5G network fault root cause localization, prevailing over 338 global teams . His practical AI deployment solutions earned him the AAAI/IAAI’23 Deployed Application Innovation Award, one of only 10 globally recognized projects that year . He holds multiple Chinese patents related to time series analysis and cloud-based diagnostic methods 🔬, underscoring his ability to translate theory into tangible technological advances. His papers have been featured in leading journals and conferences, where he served as first or co-first author (IEEE ToN, CIKM, KDD, TCS) . These accolades highlight his cross-domain innovation, commitment to real-world impact, and leadership in the intelligent systems community .

🔹Publication of Top Notes

1.Transformers in Time Series: A Survey

Authors: Q. Wen, T. Zhou, C. Zhang, W. Chen, Z. Ma, J. Yan, L. Sun
Year: 2023
Citations: 1328

2.DCdetector: Dual Attention Contrastive Representation Learning for Time Series Anomaly Detection

Authors: Y. Yang, C. Zhang, T. Zhou, Q. Wen, L. Sun
Year: 2023
Citations: 225

3.Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects

Authors: K. Zhang, Q. Wen, C. Zhang, R. Cai, M. Jin, Y. Liu, J.Y. Zhang, Y. Liang, …
Year: 2024
Citations: 222

4.Large Models for Time Series and Spatio-Temporal Data: A Survey and Outlook

Authors: M. Jin, Q. Wen, Y. Liang, C. Zhang, S. Xue, X. Wang, J. Zhang, Y. Wang, …
Year: 2023
Citations: 166

5. Large Language Models for Education: A Survey and Outlook

Authors: S. Wang, T. Xu, H. Li, C. Zhang, J. Liang, J. Tang, P.S. Yu, Q. Wen
Year: 2024
Citations: 146

6.TFAD: A Decomposition Time Series Anomaly Detection Architecture with Time-Frequency Analysis

Authors: C. Zhang, T. Zhou, Q. Wen, L. Sun
Year: 2022
Citations: 106

7.A Survey on Diffusion Models for Time Series and Spatio-Temporal Data

Authors: Y. Yang, M. Jin, H. Wen, C. Zhang, Y. Liang, L. Ma, Y. Wang, C. Liu, B. Yang, …
Year: 2024
Citations: 76

8.LogiCoT: Logical Chain-of-Thought Instruction-Tuning

Authors: H. Liu, Z. Teng, L. Cui, C. Zhang, Q. Zhou, Y. Zhang
Year: 2023
Citations: 51

9. Transformers in Time Series: A Survey (arXiv version)

Authors: Q. Wen, T. Zhou, C. Zhang, W. Chen, Z. Ma, J. Yan, L. Sun
Year: 2022
Citations: 45

10. Bringing Generative AI to Adaptive Learning in Education

Authors: H. Li, T. Xu, C. Zhang, E. Chen, J. Liang, X. Fan, H. Li, J. Tang, Q. Wen
Year: 2024
Citations: 43

11.Pricing and Allocation Algorithm Designs in Dynamic Ridesharing System

Authors: C. Zhang, J. Xie, F. Wu, X. Gao, G. Chen
Year: 2020
Citations: 35

12.Transformers in Time Series: A Survey (repeat entry, possibly updated citation)

Authors: Q. Wen, T. Zhou, C. Zhang, W. Chen, Z. Ma, J. Yan, L. Sun
Year: 2023
Citations: 23

13.AHPA: Adaptive Horizontal Pod Autoscaling on Alibaba Cloud Kubernetes

Authors: Z. Zhou, C. Zhang, L. Ma, J. Gu, H. Qian, Q. Wen, L. Sun, P. Li, Z. Tang
Year: 2023
Citations: 22

14.Free Talk in the Air: A Hierarchical Topology for 60 GHz Wireless Data Center Networks

Authors: C. Zhang, F. Wu, X. Gao, G. Chen
Year: 2017
Citations: 19

15.Logical Reasoning in Large Language Models: A Survey

Authors: H. Liu, Z. Fu, M. Ding, R. Ning, C. Zhang, X. Liu, Y. Zhang
Year: 2025
Citations: 14

16.Online Auctions with Dynamic Costs for Ridesharing

Authors:C. Zhang, F. Wu, X. Gao, G. Chen
Year:2017
Citations:14

17.NetRCA: An Effective Network Fault Cause Localization Algorithm

Authors: C. Zhang, Z. Zhou, Y. Zhang, L. Yang, K. He, Q. Wen, L. Sun
Year: 2022
Citations: 13

📌 Conclusion 

Dr. Chaoli Zhang exemplifies the ideal recipient of the Best Researcher Award due to his proven research excellence, industry-validated innovations, and impactful contributions across multiple disciplines. His work seamlessly bridges the gap between theoretical advancements and real-world applications, particularly in artificial intelligence, anomaly detection, and time series analysis. With a strong publication record in top-tier journals and conferences, and recognized achievements such as the SP Grand Challenge 2022 and the AAAI/IAAI Innovation Award, Dr. Zhang has demonstrated both academic depth and practical relevance. His leadership in developing AI-driven solutions for complex, large-scale systems solidifies his standing as one of the top emerging voices in the field. These accomplishments collectively make him exceptionally worthy of recognition as a Best Researcher Award.

Jafar Fathali | Operations Research | Best Researcher Award

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Prof.Jafar Fathali | Operations Research | Best Researcher Award

University Professor at Shahrood University of Technology, Iran 

Professor Jafar Fathali 🎓 is a renowned academic in Operations Research and Applied Mathematics, currently serving as a Professor at the Faculty of Mathematical Sciences, Shahrood University of Technology, Iran 🇮🇷. With decades of contribution to location theory, heuristic optimization, and scheduling problems , he has become a distinguished figure in computational mathematics. A prolific researcher, Prof. Fathali has authored over 50+ peer-reviewed journal articles  in internationally recognized platforms such as EJOR, Soft Computing, and Computers & Industrial Engineering. He is actively involved in scholarly communities including the Iranian Mathematical Society and the Iranian Operations Research Society . Beyond research, he contributes as a referee for leading journals, mentoring students and advancing mathematical modeling in real-world applications. His academic journey is defined by innovation, persistence, and leadership , making him a vital contributor to the global research ecosystem .

🔹Professional Profile

SCOPUS

ORCID

📘 Education & Experience

Prof. Jafar Fathali holds a BSc in Applied Mathematics from Ferdowsi University of Mashhad , an MSc from Amirkabir University of Technology , and earned his Ph.D. in Applied Mathematics from Ferdowsi University in 2005 . With a solid foundation in mathematical theories, he began teaching at Shahrood University of Technology, where he advanced to a full professorship . Over the years, he has taught a wide array of undergraduate and graduate courses, including Operations Research, Advanced Linear & Nonlinear Programming, Combinatorial Optimization, and Numerical Analysis . His expertise spans both theoretical frameworks and practical applications, equipping students with problem-solving and analytical skills 🔍. With his academic and mentoring experience, Prof. Fathali has played a key role in shaping Iran’s next generation of mathematicians and operations research .

🚀 Professional Development

Professor Fathali has shown remarkable growth in academia through innovative research, interdisciplinary collaborations, and active journal reviewing . He has reviewed articles for top-tier journals such as European Journal of Operational Research, Transportation Research Part E, Soft Computing, and Optimization Methods and Software . He is a member of the Iranian Mathematical Society, Iranian Operations Research Society, and Iranian Statistics Society , reflecting his deep involvement in the academic community. His ability to integrate fuzzy logic, graph theory, and metaheuristic algorithms into practical models has enhanced decision-making strategies across industries . Prof. Fathali has also co-developed numerous hybrid algorithms involving genetic algorithms, ant colony optimization, and variable neighborhood search for solving complex problems . His active mentorship, editorial contributions, and research collaborations are key indicators of a career deeply committed to academic excellence, growth, and innovation .

🔬 Research Focus

Professor Jafar Fathali’s research is firmly rooted in Operations Research, with an emphasis on location theory , combinatorial optimization, and scheduling problems . He specializes in designing algorithms for complex decision-making models such as the p-median, p-center, and core location problems across graphs and trees . His methods employ heuristic techniques, metaheuristics (e.g., genetic algorithms , particle swarm optimization , and fuzzy logic  to model real-world uncertainties in logistics, network design, and resource allocation. Prof. Fathali has also explored inverse and semi-obnoxious location problems, expanding the scope of location models to account for service inefficiencies and backup facilities . His works address both theoretical and applied aspects, blending mathematical rigor with practical implementation . With continuous innovations in modeling and optimization, his contributions have significantly advanced the field of applied mathematics and operations research .

🏆 Awards & Honors

While specific awards and honors for Professor Jafar Fathali are not individually listed, his academic reputation is underscored by the impact and volume of his scholarly work . Having published in high-impact journals like European Journal of Operational Research and Soft Computing, his research has earned wide recognition and citation 🏆. Being a referee for over a dozen international journals and collaborating with well-known scholars such as R.E. Burkard, indicates peer acknowledgment and respect . His sustained publication record, editorial engagements, and frequent invitations to review complex mathematical models highlight his research excellence and international credibility . His contributions have helped define solutions for complex logistics and scheduling challenges, securing his place among Iran’s most influential operations research . With ongoing recognition from both academic institutions and scholarly circles, Prof. Fathali continues to be a role model for aspiring mathematicians and OR specialists globally .

🔹Publication of Top Notes

1.Convexity and sensitivity analysis of the median line location problem

Authors: Mehdi Golpayegani, Jafar Fathali
Year: 2025
Journal: International Journal of Systems Science: Operations & Logistics
DOI: 10.1080/23302674.2025.2529967

2.Greedy algorithms for the inverse center line location problem

Authors: Mehdi Golpayegani, Jafar Fathali
Year: 2025
Journal: Expert Systems with Applications
DOI: 10.1016/j.eswa.2025.129064

3.Fuzzy balanced allocation problem with efficiency on facilities

Authors: Azam Azodi, Jafar Fathali, Mojtaba Ghiyasi, Tahereh Sayar
Year: 2023
Journal: Soft Computing
DOI: 10.1007/s00500-022-07695-4

4.The balanced 2-median and 2-maxian problems on a tree

Authors: Jafar Fathali, Mehdi Zaferanieh
Year: 2023
Journal: Journal of Combinatorial Optimization
DOI: 10.1007/s10878-023-00997-9

5.Finding the absolute and vertex center of a fuzzy tree

Authors: Fatemeh Taleshian, Jafar Fathali, Nemat Allah Taghi-Nezhad
Year: 2022
Journal: Transportation Letters
DOI: 10.1080/19427867.2021.1909797

6.The minimum information approach to the uncapacitated p-median facility location problem

Authors: Mehdi Zaferanieh, Maryam Abareshi, Jafar Fathali
Year: 2022
Journal: Transportation Letters
DOI: 10.1080/19427867.2020.1864595

7.Fuzzy Balanced Allocation Problem with Efficiency on Servers

Authors: Azam Azodi, Jafar Fathali, Mojtaba Ghiyasi, Tahereh Sayar
Year: 2021
Type: Preprint
DOI: 10.21203/rs.3.rs-444116/v1

8.Inverse and reverse balanced facility location problems with variable edge lengths on trees

Authors: Shahede Omidi, Jafar Fathali, Morteza Nazari
Year: 2020
Journal: OPSEARCH
DOI: 10.1007/s12597-019-00428-6

9.Finding an optimal core on a tree network with M/G/c/c state-dependent queues

Authors: Mehrdad Moshtagh, Jafar Fathali, James MacGregor Smith, Nezam Mahdavi-Amiri
Year: 2019
Journal: Mathematical Methods of Operations Research
DOI: 10.1007/s00186-018-0651-3

10.The Stochastic Queue Core problem, evacuation networks, and state-dependent queues

Authors: Mehrdad Moshtagh, Jafar Fathali, J. MacGregor Smith
Year: 2018
 Journal: European Journal of Operational Research
 DOI: 10.1016/j.ejor.2018.02.026

🏁Conclusion

Professor Fathali’s research stands out due to its mathematical rigor, practical relevance, and algorithmic innovation. His work significantly advances the optimization and decision sciences field, contributing both theoretical frameworks and practical solutions. These qualities, combined with his sustained academic output, collaborative spirit, and international impact, make him an ideal candidate for the Best Researcher Award.

Salah Mokred | Engineering | Best Researcher Award

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Dr.Salah Mokred | Engineering | Best Researcher Award

PhD Candidate at Southeast university ,China

Salah Mokred is an accomplished electrical engineer and power systems researcher, currently pursuing his Ph.D. in Electrical Engineering at Southeast University, China . With deep expertise in  power system stability, analysis, and planning, he has contributed significantly through high-impact research and international publications . Salah holds a Master’s degree in Electric Power Systems from North China Electric Power University and a Bachelor’s from Sana’a University . He served as a teaching assistant at Sana’a University and has also worked on critical infrastructure projects involving Yemen’s national grid . Known for his commitment to innovation and resilience, Salah combines technical excellence with leadership and collaboration . His work has been recognized with multiple honors and CSC scholarships . Proficient in MATLAB, ETAP, and technical programming , Salah continues to drive forward cutting-edge research in voltage stability and smart grid protection technologies.

Professional Profile

ORCID

GOOGLE SCHOLAR

📘 Education and Experience 

Salah Mokred’s academic path began with a B.Sc. in Electrical Engineering from Sana’a University, Yemen (2009–2013) . He then pursued his M.Sc. in Electric Power Systems at North China Electric Power University (2017–2020) , and is currently finalizing his Ph.D. in Electrical Engineering at Southeast University (2020–2024) . His research focuses on power system stability and voltage collapse prediction . Professionally, he worked as a Teaching Assistant at Sana’a University (2014–2016)  and contributed to Yemen’s national grid security through a project analyzing high-voltage line attacks . Salah also served as an engineering consultant at Garmah Plastic Company in 2016–2017 . His practical experience blends academic excellence with field applications, especially in power grid protection and distribution system enhancement . Salah’s expertise extends to technical tools like MATLAB, ETAP, FORTRAN, and PLC systems .

📈 Professional Development 

Salah Mokred continually expands his professional skills through academic research, international conferences, and specialized training programs . He has completed training in English and programming at SEEDS Education Center , and undertaken advanced technical courses in PLC control, power grid analysis, and power system protection relay selection . Salah has actively participated in IEEE conferences, contributing to papers on voltage stability indices, capacitor bank applications, and intelligent grid technologies . His strong computer proficiency includes MATLAB, ETAP, C, FORTRAN, and MS Office tools . Salah also demonstrates strong leadership, communication, and teamwork skills, enabling him to contribute effectively to multidisciplinary research and collaborative engineering projects . He continues to advance professionally through scholarly publications in top-tier journals (SCI, Q1/Q3) and by collaborating with peers and mentors at Southeast University .

🔬 Research Focus

Salah Mokred’s research is rooted in the domain of Electrical Engineering, particularly in Power Systems . His focus lies in Voltage Stability Assessment, Contingency Ranking, and Optimal Placement of Distributed Generators (DGs) in power grids . Salah develops modern stability indices and collapse prediction methods that support the secure planning and operation of both transmission and distribution systems . His work blends theoretical modeling with real-world applications to improve grid reliability, especially in weak bus identification and dynamic loadability estimation . Salah has also explored series capacitor technologies, smart distribution systems, and intelligent protection schemes using fast-switch devices and relays . His innovative methodologies are helping reshape how engineers evaluate and strengthen power networks in volatile environments. His interdisciplinary approach involves simulation, grid modeling, and data-driven analysis using tools like MATLAB and ETAP .

🏆Awards and Honors 

Salah Mokred’s academic journey has been recognized with multiple prestigious honors . He received the CSC Scholarship twice: once for his Master’s studies (2017) and again for his Ph.D. (2020) in China . From 2021 to 2023, he was awarded Honor Certificates and the Academic Excellence Award by the Embassy of Yemen in recognition of his scholarly performance . Salah was honored with the Excellence Shield from the Yemenis Students Union for his role in academic programs and youth engagement initiatives . He also received a Certificate of Achievement from Garmah Plastic Company in 2017 for his engineering consulting contributions . Additionally, Salah participated in the “Youth in Nanjing” cultural exchange and was recognized for his contributions to international student engagement and creativity through events like “Star-Moon Dream Night” . These accolades highlight both his technical acumen and active involvement in cross-cultural academic life.

Publication of Top Notes

1.Title: Modern voltage stability index for prediction of voltage collapse and estimation of maximum loadability for weak buses and critical lines identification

Authors: S. Mokred, Y. Wang, T. Chen
Journal: International Journal of Electrical Power & Energy Systems
Year: 2023
Citations: 58

2.Title: A novel collapse prediction index for voltage stability analysis and contingency ranking in power systems

Authors: S. Mokred, Y. Wang, T. Chen
Journal: Protection and Control of Modern Power Systems
Year: 2023
Citations: 44

3.Title: Voltage stability assessment and contingency ranking in power systems based on modern stability assessment index

Authors: S. Mokred, Y. Wang
Journal: Results in Engineering
Year: 2024
Citations: 14

4.Title: Comparison of the effect of series and shunt capacitor application in 25kV radial power distribution network

Authors: S. Mokred, Q. Lijun, G. Kamara, T. Khan
Conference: IEEE/IAS I&CPS Asia
Year: 2020
Citations: 10

5.Title: Protection performance during application of an intelligent and fast switch series capacitor to 25kV radial power distribution network

Authors: S. Mokred, Q. Lijun, T. Khan
Conference: IEEE/IAS I&CPS Asia
Year: 2020
Citations: 8

6.Title: Transient and protection performance of a fixed series compensated 500 kV transmission line during various types of faulty conditions

Authors: S. Mokred, Q. Lijun, T. Khan
Journal: Journal of Electrical Engineering & Technology
Year: 2021
Citations: 7

7.Title: Voltage stability estimation for complex power system based on modal analytical techniques

Authors: M.M.A. Seedahmed, S.A.S. Mokred, G. Kamara
Conference: IEEE SPIN Conference
Year: 2019
Citations: 7

8.Title: Smart design of distribution series capacitor bank application for improved voltage quality and motor start

Authors: S. Mokred, Q. Lijun, G. Kamara
Conference: IEEE/IAS I&CPS Asia
Year: 2020
Citations: 6

9.Title: Protection and Impact of Series Compensation Technology in High Voltage Transmission Line

Authors: S.A.S. Mokred, Q. Lijun, M. Ali
Journal: IJIEEE
Year: 2019
Citations: 3

10.Title: A Novel Approach for Voltage Stability Assessment and Optimal Siting and Sizing of DGs in Radial Power Distribution Networks

Authors: S. Mokred, Y. Wang, M. Alruwaili, M.A. Ibrahim
Journal: Processes
Year: 2025
Citations: Not yet available

Conclusion

Dr. Salah Mokred’s consistent academic excellence, strong citation record, impactful contributions to voltage stability and grid protection, and participation in IEEE conferences and journal leadership make him a standout candidate for the Best Researcher Award. His research not only advances theory but provides applicable solutions to power system challenges in both developing and developed countries.

Maurice Kesonga Nsele | Economy | Best Paper Award

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Assist.Prof.Dr.Maurice Kesonga Nsele| Economy | Best Paper Award

Post-doctoral researcher at University of Lubumbashi, Democratic Republic of the Congo

Dr. Maurice Kesonga Nsele  is a distinguished post-doctoral researcher at the University of Lubumbashi  and an associate professor at the Faculty of Agricultural Sciences. He earned his Ph.D.  in Agricultural Sciences and Biological Engineering from the University of Liège, Gembloux Agro-Bio Tech , specializing in rural economics and development. Currently affiliated with the Regional Postgraduate School of Integrated Management and Development of Tropical Forests and Territories, his research spans sustainable rural development , agricultural value chains , and socio-economic dynamics in biodiversity-rich regions . With an enduring commitment to addressing challenges in Congo’s agricultural sector, he integrates academic rigor with field-based realities to create practical, community-driven solutions . His contributions to rural livelihoods, environmental conservation , and policy analysis mark him as a dedicated scientist and academic leader.  He is a promising candidate for international awards celebrating innovation, research excellence, and socio-environmental impact .

Professional Profile

ORCID

Education & Experience 

Dr. Nsele’s academic journey began with a strong foundation in Agricultural Sciences, culminating in a Ph.D.  From the prestigious University of Liège, Gembloux Agro-Bio Tech, Belgium . His doctoral research focused on rural development and economic systems, preparing him for a multidimensional academic and research career . He is currently a postdoctoral researcher at the Regional Postgraduate School for Integrated Tropical Forest Management  and serves as an associate professor at the University of Lubumbashi . With over a decade of academic engagement , he has supervised research, published articles, and participated in key development projects focused on community-based conservation, sustainable farming , and economic transformation. His work is well-regarded both nationally and internationally , reflecting his ability to merge theoretical knowledge with grassroots implementation . This rich blend of education and field experience positions him as an expert in sustainable agronomy, rural transformation, and forest-territory development .

Professional Development 

Dr. Maurice Nsele’s professional development reflects his continuous dedication to rural transformation and sustainable agricultural practices . Through his postdoctoral research at a regional postgraduate institute for tropical forest management , he deepened his expertise in environmental sustainability, conservation strategy, and policy analysis . He actively participates in academic collaborations, research networks, and developmental projects that engage communities in resource conservation . His project on the conservation of historical rubber plantations in Sankuru Province underscores his ability to connect scientific research with cultural heritage and economic resilience 🌱. Dr. Nsele has contributed to peer-reviewed journals  and maintains a presence on platforms like ORCID and ResearchGate for academic transparency and collaboration . As a thought leader and educator, he fosters interdisciplinary research and trains future agricultural scientists . His trajectory shows consistent professional growth, marked by real-world impact, international collaboration , and knowledge dissemination for sustainable development goals .

Research Focus 

Dr. Nsele’s research focus lies at the intersection of sustainable rural development, agricultural economics, and tropical forest conservation . He specializes in the analysis of agricultural value chains  and economic structures in regions with rich natural potential, particularly in Central Africa . His work addresses community-based conservation, emphasizing participatory methods to preserve biodiversity while enhancing rural livelihoods . The project on rubber plantation conservation in Sankuru Province highlights his approach to integrating socio-cultural and environmental dynamics. He also investigates economy policies that influence agricultural productivity and land-use management . With a deep understanding of development economy, Dr. Nsele contributes to strategic planning and the formulation of policies aimed at equitable resource distribution and long-term sustainability . His research aligns with global priorities such as climate-resilient agriculture, food security, and eco-governance, making his work invaluable to both academia and development agencies .

Awards and Honors 

Although specific awards are not yet listed, Dr. Maurice Nsele is a strong candidate for prestigious recognitions such as the Best Researcher Award , Agronomy Innovation Award 🌿, and Sustainable Agriculture Award . His academic achievements, such as earning a Ph.D. from the University of Liège , and his impactful research on rubber plantations and agricultural economics , demonstrate excellence worthy of international acclaim. His publications in indexed journals , leadership roles in university research programs , and collaborations with international institutions  reflect a high level of scholarly integrity and innovation. Dr. Nsele’s postdoctoral engagement in integrated forest and territory management  underlines his commitment to interdisciplinary excellence. He also qualifies for recognitions like Multidisciplinary Agriculture Award, Research Excellence in Crops, and University Research Star Award . As his work gains further visibility, it is expected he will attract both national and global accolades for research impact and innovation .

Publication of Top Notes

1.Title: Community Perceptions and Determinants of the Sustained Conservation of Historical Rubber Plantations in the Lomela and Lodja Territories, Sankuru Province, Democratic Republic of the Congo

Authors: Maurice Kesonga Nsele, Serge Shakanye Ndjadi, Charles Mumbere Musavandalo, Désiré Numbi Mujike, Israël Muchiza Bachinyaga, John Tshomba Kalumbu, Eli       Mwishingo Mutwedu, Joël Mobunda Tiko, Séraphin Irenge Murhula, François Tshamba Y’onyowokoma et al.
 Year: 2025
  Journal: Conservation
  DOI: 10.3390/conservation5030033

2.Title: Conditions d’acceptabilité des pratiques innovantes par les maraîchers urbains de Lubumbashi, République Démocratique du Congo

Author: Maurice Kesonga Nsele
 Year: 2024
 Type: Dissertation/Thesis

3. Title: Unraveling the Role of Informal Mutual Aid Networks in Maintaining Urban Farms in Lubumbashi, Democratic Republic of Congo

Authors: Maurice Kesonga Nsele, Thomas Dogot, Kevin Maréchal
Year: 2023
 Journal: Frontiers in Sustainable Food Systems
 DOI: 10.3389/fsufs.2023.1248937

4. Title: Factors Influencing the Sustained Adoption of Innovative Techniques by Urban Farmers in Lubumbashi, Democratic Republic of Congo

Authors: Maurice Kesonga Nsele, Jules Nkulu Mwine Fyama, Kevin Maréchal, Thomas Dogot
Year: 2022
 Journal: Agriculture
 DOI: 10.3390/agriculture12081157

5 .Title: Understanding the Roles of Street Vendors of Agricultural Commodities during the COVID-19 Outbreak in the Informal Economy

 Author: Maurice Kesonga Nsele
 Year: 2020
 Journal: Journal of Social Sciences
 DOI: 10.4236/jss.2020.89008
6. Title: Pesticide Use Practices by Chinese Cabbage Growers in Suburban Environment of Lubumbashi (DR Congo): Main Pests, Costs and Risks
 Author: Maurice Kesonga Nsele
 Year: 2019
 Journal: Journal of Applied Agricultural Economics and Policy Analysis
 DOI: 10.12691/jaaepa-2-1-8
7. Title: Characterization of Household Wastes in D.R. Congo, a Case Study of Lubumbashi

 Author: Maurice Kesonga Nsele
 Year: 2017
 Journal: American Journal of Environmental Sciences
 DOI: 10.3844/ajessp.2017.277.288

Conclusion 

Dr. Maurice Kesonga Nsele’s research is a benchmark in sustainable and community-oriented environmental science, particularly in understudied contexts like Central Africa. His papers provide original data, innovative frameworks, and socially grounded analysis, making them highly suitable for Best Paper Awards.

Zhongyi Yu | Agricultural and Biological sciences | Best Researcher Award

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Dr.Zhongyi Yu | Agricultural and Biological sciences | Best Researcher Award

Doctoral student at China Agriculture University, China

Zhongyi Yu is a dynamic and innovative young researcher currently pursuing his doctorate at China Agricultural University 🇨🇳. He has a strong foundation in agricultural engineering and smart plant protection systems . With active involvement in over 10 national, provincial, and municipal research projects, Yu has made notable contributions to intelligent agricultural machinery, particularly in orchards, fields, and greenhouses . His academic record includes 8 published papers , with 5 indexed in SCI/EI journals, and over 20 intellectual property claims including patents and software works . Yu is highly recognized for his innovation and leadership, having secured top positions in provincial innovation competitions . Passionate about transforming agriculture through digitalization and automation, he collaborates closely with academic and industry partners to create efficient, sustainable solutions for modern farming . His dedication and achievements place him among the promising young researchers shaping the future of smart agriculture .

🧪Professional Profile

ORCID

🎓 Education & Experience 

Zhongyi Yu began his academic journey in agricultural sciences with a focus on smart equipment and digital agriculture . He pursued both his master’s and doctoral degrees at prestigious Chinese institutions, including China Agricultural University . During his studies, Yu successfully led two graduate-level innovation projects as the principal investigator. He has been involved in a range of cutting-edge national and regional research programs, such as the National Modern Industrial Technology System and graduate innovation programs of Anhui Province . His hands-on experience spans intelligent spraying systems, static laser weeding devices, and smart pesticide technologies for greenhouses and orchards . Yu’s practical background is further enhanced by consultancy work supported by China’s earmarked agriculture funds 🇨🇳. With over 8 published research papers and multiple patents, Yu has built a solid reputation for research excellence, technical proficiency, and real-world impact in smart agriculture and plant protection .

📈 Professional Development 

Zhongyi Yu’s professional development reflects a rare blend of academic excellence, research leadership, and innovative application in smart agriculture . He has contributed to 10+ projects funded by national and provincial bodies, such as the 2115 Talent Program and China Agriculture Research System . Yu has published impactful work in journals like Agronomy, highlighting innovations like the Swing-Arm Orchard Sprayer and static laser weeding systems . His strong project management skills enabled him to lead and coordinate multi-disciplinary teams in developing digital solutions for orchards and greenhouse management . Yu’s patent portfolio of over 15 inventions and 4 software works attests to his practical ingenuity . He actively engages in academic competitions, securing first prizes at ministerial levels . Through collaboration with institutions like Anhui Agricultural University, he continuously builds his research network and stays at the forefront of digital agricultural innovation .

🔬 Research Focus 

Zhongyi Yu’s research focus lies in the development of intelligent agricultural equipment and smart plant protection technologies . His work targets production management solutions in fields, greenhouses, and orchards, with a particular emphasis on precision spraying and laser weeding systems . Yu is actively involved in the design, development, and evaluation of digital agricultural tools that increase productivity and reduce environmental impact . He has led key research on swing-arm orchard sprayers and fiber-laser-based weeding devices, integrating automation and robotics into crop protection tasks . His projects are deeply aligned with China’s modernization goals for agriculture and supported by national funding initiatives . Yu also explores AI integration, remote sensing, and intelligent control systems as part of his holistic smart farming approach . His goal is to build resilient, efficient, and sustainable agricultural systems that are accessible and scalable for real-world applications, driving the future of digital farming forward .

🏅 Awards & Honors 

Zhongyi Yu has received numerous awards and accolades recognizing his excellence in research and innovation . He has been honored as an Outstanding Graduate Student and Outstanding League Member for his academic leadership and societal contributions . Yu has led two major student innovation projects to first prizes in prestigious provincial and ministerial university competitions . His technological contributions have resulted in over 15 national patents and 4 software copyrights . He has been supported by highly competitive programs such as the 2115 Talent Development Program and the China Agriculture Research System funding scheme . These awards underscore his expertise in agricultural engineering, particularly intelligent plant protection systems and smart pesticide application equipment . His recognition spans both academic excellence and technological innovation, reflecting his dual impact on theory and practice. Yu’s consistent achievements position him as a rising leader in smart agriculture research and application .

Publication of Top Note

1.A Static Laser Weeding Device and System Based on Fiber Laser: Development, Experimentation, and Evaluation

Authors:
Zhongyi Yu, Xiongkui He, Peng Qi, Zhichong Wang, Limin Liu, Leng Han, Zhan Huang, Changling Wang

Year of Publication:
2024 (June)

Journal:
Agronomy – Volume 14, Issue 7

DOI:
10.3390/agronomy14071426

Publisher:
Multidisciplinary Digital Publishing Institute (MDPI)

Citation Format (APA style):

Yu, Z., He, X., Qi, P., Wang, Z., Liu, L., Han, L., Huang, Z., & Wang, C. (2024). A Static Laser Weeding Device and System Based on Fiber Laser: Development, Experimentation, and Evaluation. Agronomy, 14(7), 1426. https://doi.org/10.3390/agronomy14071426

📌 Conclusion

Zhongyi Yu exemplifies the profile of a Best Researcher Award recipient through his impactful research, technological innovation, and dedication to agricultural advancement. His diverse portfolio of publications, patents, and project leadership showcases both depth and breadth in research. His focus on smart, efficient, and sustainable agriculture aligns with global priorities in food security and environmental technology. Therefore, he is a strong and deserving candidate for the Best Researcher Award.

Fei-Hsiu Hsiao| Cancer Nursing | Best Researcher Award

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Prof. Dr. Fei-Hsiu Hsiao | Cancer Nursing | Best Researcher Award

Professor at National Taiwan University, Taiwan

Dr. Hsiao-Fei Lee is a highly accomplished Professor at the School of Nursing, National Taiwan University  and Nursing Supervisor at NTU Hospital . With over three decades of experience in clinical and academic nursing, she is known for pioneering research in body-mind-spirit (BMS) psychotherapy and its impact on depression, cancer survivorship, and psychoneuroendocrinology . She has led numerous national research projects 🇹🇼, contributing valuable insights into cortisol rhythms, emotional well-being, and stress resilience. Her interdisciplinary work bridges psychiatry, nursing, and neurobiology , advancing mental health care across Taiwan and beyond. As an academic editor and guest editor of top journals , she influences both policy and practice in healthcare. Dr. Lee’s compassionate leadership  and scientific excellence have made her a respected figure in nursing science and integrative psychotherapy research worldwide .

🧪Professional Profile

ORCID

📘 Education & Experience 

Dr. Lee began her nursing journey with a Diploma from Deh-Yu College of Nursing (1985–1990). She further earned a Bachelor of Health Science  from Victoria University of Technology, Australia 🇦🇺 (1994), followed by two master’s-level nursing studies  from Victoria University and La Trobe University (1995–1997). Her academic peak came with a Ph.D. in Psychiatry from the University of Melbourne (1998–2002) . Professionally, she worked as a psychiatric nurse  at Taipei Veterans General Hospital (1990–1993) and held teaching and leadership roles at Taipei Medical University (2002–2008). She joined National Taiwan University in 2009 and has since risen to full Professor . From 2017 to 2020, she served as Vice Director at the Department of Nursing, NTU Hospital . Her journey reflects a seamless blend of academic, clinical, and administrative excellence .

🚀 Professional Development 

Dr. Lee has demonstrated outstanding professional development through her dedication to mental health and integrative care research . She has served as academic editor for the Journal of Nursing Management , section editor for the Journal of Nursing Research and Chinese Journal of Psychology , and guest editor for Behavioral Sciences. Her leadership extends beyond publications, as she has mentored interdisciplinary teams in oncology, neuroscience, and nursing . She actively translates research into practical training programs, including models that integrate compassion, mindfulness, and holistic care . Dr. Lee is among the few in Taiwan to examine the neuroendocrine mechanisms behind psychotherapy, positioning her as a thought leader in psychoneuroendocrinology . Her evolving research continues to influence care strategies and educational curricula, creating long-lasting impact in both academic and healthcare settings .

🧠 Research Focus 

Dr. Lee’s research centers on integrative mental health therapy, particularly body-mind-spirit (BMS) psychotherapy  for patients with major depression and cancer survivors. Her studies examine how psychological well-being is linked to HPA-axis neuroendocrine function, focusing on cortisol patterns, emotional resilience, and long-term stress reduction . She investigates meaning in life, sleep quality, and coping skills as protective factors against suicide ideation and depressive symptoms . Her work is especially groundbreaking in showing how group psychotherapy can stabilize biological responses and prevent cancer recurrence . She leads interdisciplinary research involving oncology, neuroscience, and nursing, pioneering holistic models of care that are both culturally enriched and evidence-based . Her innovations have set new benchmarks in psychoneuroendocrinology, improving quality of life for thousands of patients across Taiwan 🇹🇼 and internationally .

🏆 Awards and Honors 

Dr. Lee has been recognized with multiple national research grants and academic leadership roles . Her continuous funding from Taiwan’s National Science Council highlights her impact on healthcare innovation and policy reform . She has led over 20 major research projects, many as Principal Investigator, with support totaling millions of NTD . Her scholarly work has been featured in top journals like Psychotherapy & Psychosomatics , gaining her international acclaim in nursing and psychiatry. As a leading figure in evidence-based mental health interventions, she has received commendations from institutions such as NTU and Taipei Medical University 🏫. Her role as editor and reviewer for major journals further demonstrates her contributions to advancing nursing science and integrative health care worldwide . Her work on compassion-based and app-integrated psychotherapy models has positioned her as a trailblazer in digital mental health innovation .

Publication of Top Notes

1.Factors Influencing the Relationship Between Sugar Consumption and Depression Among Women Under Breast Cancer Treatment

Authors: Yu-Chen Liu, Wen-Hung Kuo, Chiao Lo, Chiun-Sheng Huang, Meei-Shyuan Lee, Jen-Ho Chang, Chia-Chen Hsieh, Fei-Hsiu Hsiao
Journal: Behavioral Sciences
Year: 2025
DOI: 10.3390/bs15070940

2.The Relationship Between Decision Regret, Quality of Life, and Mindfulness in Early-Stage Breast Cancer Survivors

Authors: Yu-Ling Kao, Ming-Shen Dai, Wan-Chen Tsai, Fei-Hsiu Hsiao
Journal: The Breast
Year: 2025
DOI: 10.1016/j.breast.2025.104435

3.Individual Resilience Among Adult Children of Parents with Bipolar Disorder in Chinese Society

Authors: Sara Hsin-Yi Liu, Fei-Hsiu Hsiao, Shing-Chia Chen, Ming-Hsien Hsieh, Shu-Jen Shiau
Journal: Journal of Transcultural Nursing
Year: 2025
DOI: 10.1177/10436596241290786

4.The Changes of Parental Functioning of the Patients with Bipolar Disorder and Major Depression Since Discharging from Hospital

Authors: Sara Hsin‐Yi Liu, Shing‐Chia Chen, Ming H. Hsieh, Shu‐Jen Shiau, Kuan‐Chia Lin, Fei‐Hsiu Hsiao
Journal: Journal of Clinical Nursing
Year: 2023
DOI: 10.1111/jocn.16462

5.The Effectiveness of Compassion-Based Interventions Among Cancer Patients: A Systematic Review and Meta-analysis

Authors: Ya-Chi Fan, Fei-Hsiu Hsiao, Chia-Chen Hsieh
Journal: Palliative and Supportive Care
Year: 2023
DOI: 10.1017/S1478951522001316

6.Self-Compassion for Burnout and Compassion Fatigue in Caregivers

Author: Fei-Hsiu Hsiao
Journal: Journal of Nursing Research
Year: 2023
DOI: 10.1097/jnr.0000000000000544

7.Emergency Nurses’ Burnout Levels as Mediator Between Stress and PTSD Symptoms During COVID‐19 Pandemic

Authors: Bey‐Jing Yang, Ching‐Wei Yen, Shou‐Ju Lin, Chien‐Hua Huang, Jhong‐Lin Wu, Yih‐Ru Cheng, Chia‐Chen Hsieh, Fei‐Hsiu Hsiao
Journal: Journal of Advanced Nursing
Year: 2022
DOI: 10.1111/jan.15214

8.The Effects of an Emergency Nurse‐Led Stress‐Reduction Project During the First 120 Days of the COVID‐19 Pandemic in Taiwan

Authors: Bey‐Jing Yang, Ching‐Wei Yen, Shou‐Ju Lin, Chien‐Hua Huang, Jhong‐Lin Wu, Yih‐Ru Cheng, Chia‐Chen Hsieh, Fei‐Hsiu Hsiao
Journal: Journal of Nursing Management
Year: 2022
DOI: 10.1111/jonm.13527

Conclusion

Dr. Fei-Hsiu Hsiao demonstrates outstanding scholarly impact, innovation, and societal relevance, making her an ideal candidate for the Best Researcher Award. Her work not only advances academic understanding but also delivers measurable improvements in mental health, caregiving, and cancer survivorship, aligning perfectly with the spirit of global research excellence.

Konstantinos Sofianos | Artificial Intelligence | Best Researcher Award

Published on by Research Scientist

Mr.Konstantinos Sofianos | Artificial Intelligence | Best Researcher Award

PhD student at Ionian University , Greece

Konstantinos Sofianos 🇬🇷 is a dynamic educator, researcher, and director at the Music School of Lefkada, Greece 🎵💻. With decades of experience in teaching informatics and mathematics across multiple Greek schools, he blends classical education with cutting-edge digital innovation. Currently pursuing a Ph.D. in Informatics at Ionian University 🎓, his work bridges artificial intelligence, semantic web, and music education. Passionate about smart learning environments 🤖📚, he actively presents at international conferences and contributes to academic journals on AI-enhanced education. As a seasoned professional with deep roots in both pedagogy and technology 🌐, Sofianos is reshaping how students engage with music and learning through AI tools, LMS platforms, and chatbots. Fluent in Greek and English 🗣️, he brings a global outlook to local education challenges. His leadership role and relentless academic growth make him a recognized figure in the future of smart, inclusive, and interactive learning. 🌍✨

Professional Profile

SCOPUS

ORCID

Education & Experience 

Konstantinos Sofianos began his academic path with a B.Sc. in Mathematics from the University of Patras in 1987 ➗📐, followed by a M.Sc. in Informatics and ongoing Ph.D. studies at Ionian University in Corfu 🎓💡. His professional teaching career spans nearly three decades across Greek schools 🏫, including long tenures at the Music School of Preveza and Lefkada. Since 2025, he has been the Director and Professor of Informatics at the Music School of Lefkada 👨‍💼🎶. His teaching expertise covers informatics, mathematics, and music-integrated learning technologies 🎵🧠. With a commitment to continuous learning, he has pursued professional training in cybersecurity, AI tools, chatbots, and DBMS via Erasmus+ programs across Europe 🌍🖥️. His combined experience as a professor, director, and researcher makes him a multi-disciplinary educator empowering the next generation of learners through smart technologies. 💼📘

Professional Development 

Sofianos has a strong portfolio of professional development, actively participating in Erasmus+ short-term programs in Lithuania (2024–2025) 🌍🎓. He gained hands-on experience with AI tools, chatbots, Moodle plugins, cybersecurity, and data mining 🔐💡. His learning experiences at Vilnius University and Kaunas AI Centre enabled him to integrate international best practices into Greek classrooms 🌐🇬🇷. As a speaker at over 10 international conferences from 2021–2025, he has explored topics like Semantic Web (Web 3.0), smart learning, and AI in music education 🤖🎶. His publications in IJCSMC and MDPI Computers Journal demonstrate research depth and relevance to educational tech trends 📄🧑‍🔬. Through constant upskilling, collaborative projects, and knowledge sharing, Sofianos evolves as a 21st-century educator building future-ready classrooms. His dedication reflects a passion not just for teaching, but for shaping how teaching itself evolves through innovation and interdisciplinary learning. 🔍🚀

Research Focus 

Konstantinos Sofianos’s research lies at the intersection of Artificial Intelligence and Education 🧠📚. His focus includes smart learning environments, semantic web applications (Web 3.0), Moodle-based LMS integration, and AI-powered educational tools 🤖🖥️. With a special emphasis on music education enhanced by digital technologies 🎶💻, he explores how chatbots, ontologies, and AI plugins personalize learning experiences. His work introduces adaptive systems that recognize learning styles, enabling more intuitive and inclusive teaching models 🧩📊. Through multiple international conferences and journal publications, he has contributed frameworks like OSEME, a Smart Learning Environment tailored to music learning. His research is highly interdisciplinary—blending informatics, cognitive learning science, and creative arts—to push boundaries in edtech 🚀🔬. His ongoing Ph.D. further cements his expertise in developing next-gen learning systems with strong theoretical and applied significance. 🏫🌍

Awards & Honors 

Although no formal awards are explicitly listed, Konstantinos Sofianos’s academic and professional profile reflects a strong record of recognition and achievement 🏆📚. His consistent invitations to speak at top-tier international conferences—including in Greece, the Netherlands, Spain, and Cyprus 🌍🎤—demonstrate academic credibility and international engagement. The selection for Erasmus+ faculty programs twice at Vilnius University, focused on AI, education, and cybersecurity, shows institutional trust and acknowledgment of his expertise 🤝📘. His role as Director of a leading Music School and contributor to two international journals (IJCSMC and MDPI Computers) positions him as a knowledge leader in edtech 🎓🖋️. Furthermore, his ongoing Ph.D., multiple interdisciplinary publications, and pioneering work with AI-based learning systems are achievements indicative of scholarly excellence 🌐🧑‍🔬. Sofianos is a strong candidate for future educational honors, especially in AI integration and digital learning innovation. 🏅💻

Publication of Top Notes

1. Integrating Artificial Intelligence and Digital Tools to Enhance Learning and Accessibility in Music Education
  • Type: Book Chapter
  • Year: 2025
  • DOI: 10.1007/978-3-031-96231-8_13
  • Contributors: Konstantinos Chrysanthos Sofianos, Stefanidakis Michael, Maragoudakis Manolis, Kaponis Alexios, Georgaki Anastasia, Bukauskas Linas
  • Publisher: Springer Nature
  • Source: Crossref

🔍 Summary:
This chapter explores the integration of artificial intelligence (AI) and digital tools in the context of music education, with a focus on improving accessibility and personalized learning. The authors present models and strategies where AI assists in tailoring music pedagogy to learner needs, including adaptive systems, smart feedback, and learning analytics. Use cases include AI-driven tutoring systems, chatbot applications, and content customization for students with varying levels of musical knowledge or accessibility needs. The chapter emphasizes inclusive education, leveraging AI to reduce learning barriers and foster deeper engagement in music studies.

2. Enhancing User Experiences in Digital Marketing Through Machine Learning: Cases, Trends, and Challenges
  • Type: Journal Article
  • Journal: Computers
  • Date Published: May 29, 2025
  • DOI: 10.3390/computers14060211
  • Contributors: Alexios Kaponis, Manolis Maragoudakis, Konstantinos Chrysanthos Sofianos
  • Publisher: MDPI
  • Volume: 14, Issue 6
  • Source: Crossref

Summary:
This research article presents a comprehensive analysis of machine learning applications in digital marketing, focusing on enhancing user experience (UX). The authors identify key ML-driven strategies, including predictive analytics, user behavior modeling, personalized content recommendation, and automated engagement systems. Through a series of practical case studies, the article highlights emerging trends and implementation challenges, including ethical considerations, data security, and system transparency. Konstantinos Sofianos contributed to the study’s educational-UX perspective, particularly in applying semantic and cognitive models to optimize digital interaction in learning environments—bridging education and marketing domains.

3. Assist of AI in a Smart Learning Environment
  • Type: Book Chapter
  • Year: 2024
  • DOI: 10.1007/978-3-031-63223-5_20
  • Contributors: Konstantinos Chrysanthos Sofianos, Michael Stefanidakis, Alexios Kaponis, Linas Bukauskas
  • Publisher: Springer Nature
  • Source: Crossref

🔍 Summary:
This book chapter introduces AI-assisted learning environments, focusing on smart educational systems that adapt to individual learner needs and preferences. The chapter outlines the conceptual design and architecture of AI in classroom settings, emphasizing features like real-time feedback, student behavior analysis, and content personalization. Special attention is given to ontology-based learning systems and AI tutors, which aim to mimic human interaction while scaling accessibility. Sofianos’s contributions include practical insights from his development of OSEME, a smart music education platform that applies these AI principles effectively within the arts education context.

Conclusion

Konstantinos Sofianos exemplifies the 21st-century researcher—blending innovation, practice, and scholarship across domains. His pioneering work in AI-enhanced education and dedication to advancing inclusive and intelligent learning systems strongly align with the spirit of a Best Researcher Award. His trajectory not only reflects academic excellence but also a commitment to transforming traditional education through digital transformation. He is not only eligible but highly deserving of such recognition. 🏅📘🤖