Yu Cheng Wang | Engineering | Best Research Article Award

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Assoc. Prof. Dr. Yu Cheng Wang | Engineering | Best Research Article Award

Aeronautical Engineering Of Chair at Chaoyang University of Technology | Taiwan

Prof. Dr. Yu Cheng Wang  is a distinguished academic and researcher, currently serving as Associate Professor and Chair of the Department of Aeronautical Engineering at Chaoyang University of Technology, Taiwan. He holds a Ph.D. in Industrial Engineering from Feng Chia University and has built a reputation for advancing research at the intersection of aeronautical systems, intelligent manufacturing, and explainable artificial intelligence. With more than publications in SCI and Scopus-indexed journals, his contributions have made significant impact in manufacturing optimization and decision-support systems. He has an h-index of  with over citations, reflecting the scholarly influence of his work. Prof. Wang also collaborates extensively with colleagues across Taiwan and internationally, bridging academic research and industry practice. His work on Industry 4.0 applications in semiconductor manufacturing showcases his commitment to developing transparent and human-centered AI systems that directly address real-world industrial challenges.

Professional Profile

ORCID Profile | Scopus Profile

Education 

Prof. Dr. Yu Cheng Wang pursued his academic journey with a focus on engineering, systems, and innovation. He earned his Ph.D. in Industrial Engineering from Feng Chia University, Taiwan, where his doctoral research laid the foundation for his expertise in intelligent systems and complex manufacturing processes. His educational background reflects a strong balance between theoretical modeling and applied problem-solving. Dr. Wang’s training emphasized operations research, production systems, and the integration of artificial intelligence into industrial applications, which later expanded into explainable AI frameworks for decision support. His solid grounding in industrial engineering principles has allowed him to extend his research into aeronautical systems and semiconductor manufacturing. With this interdisciplinary academic foundation, he has successfully bridged domains such as fuzzy theory, optimization, and smart manufacturing, enabling him to pursue pioneering research in Industry 4.0. His educational journey demonstrates a commitment to combining engineering rigor with innovative technological applications.

Experience 

Prof. Dr. Yu-Cheng Wang has extensive academic and professional experience that combines leadership, research, and industry collaboration. As Department Chair and Associate Professor at Chaoyang University of Technology, he oversees curriculum development, research strategy, and faculty mentorship in aeronautical engineering. His leadership extends to managing cross-disciplinary projects that integrate aeronautical engineering with intelligent manufacturing and artificial intelligence applications. He has spearheaded major research initiatives, including the Industry 4.0 XAI project for wafer-fab output forecasting, a groundbreaking effort that combines machine learning with interpretability for industrial decision-making. His experience also spans consultancy projects that provide practical solutions for semiconductor manufacturing, aligning academic research with industry needs. Prof. Wang’s editorial contributions over appointments demonstrate his recognition as a peer reviewer and thought leader in his field. Through collaborations with colleagues such as Tin-Chih Toly Chen and Chi-Wei Lin, he has broadened his international research presence and strengthened academia-industry knowledge exchange.

Research Interest

Prof. Dr. Yu-Cheng Wang’s research interests lie at the intersection of aeronautical engineering, smart manufacturing, and artificial intelligence. His primary focus is on explainable AI (XAI), where he develops models that not only achieve predictive accuracy but also provide transparency and interpretability for industrial decision-makers. He applies these methods to semiconductor manufacturing, Industry 4.0 environments, and production planning, ensuring that complex systems are optimized while remaining human-understandable. His work extends to fuzzy theory and decision analytics, particularly in contexts where uncertainty and complexity are critical, such as aerospace systems and large-scale industrial operations. Beyond manufacturing, Dr. Wang also explores applications of XAI in training and maintenance, including VR-based approaches for sustainable engineering education. By linking advanced computational models with practical engineering needs, his research contributes to both academic advancement and industry transformation, ensuring technological innovation supports efficiency, sustainability, and human factors integration.

Award and Honor

Prof. Dr. Yu-Cheng Wang has earned recognition for his scholarly contributions and leadership in the fields of aeronautical engineering and artificial intelligence. His publications in high-impact international journals such as The International Journal of Advanced Manufacturing Technology, Complex & Intelligent Systems, and Decision Analytics Journal highlight his academic influence and earned him strong citation metrics, with an h-index of 15 and more than citations. These achievements reflect his standing in the research community. His editorial appointments  across SCI and Scopus-indexed journals demonstrate the trust placed in him as a global reviewer and evaluator of cutting-edge research. He has also been actively involved in industry-driven projects, bridging academia and practical innovation, which further highlights his leadership. Recognition through research funding, collaborations, and invitations to contribute to international projects underscores his role as a thought leader. Collectively, these honors validate his impact as a forward-looking scientist and educator.

Research Skill

Prof. Dr. Yu Cheng Wang possesses a robust set of research skills that combine technical depth with interdisciplinary application. He is proficient in developing explainable AI frameworks, integrating advanced machine learning models with interpretability methods such as SHAP and rule-based surrogates to improve transparency in industrial decision systems. His expertise extends to fuzzy theory, production planning, and smart manufacturing analytics, making him adept at tackling complex and uncertain problems in both aeronautical and industrial domains. He has successfully applied these skills to semiconductor manufacturing, leading research on wafer-fab output forecasting that directly supports industry needs. In addition to computational modeling, Dr. Wang demonstrates strong skills in data analytics, simulation, and optimization, enabling him to bridge theory with real-world application. His experience with large-scale collaborations and consultancy projects further reflects his ability to integrate technical innovation with industry practices, positioning him as both a problem solver and research leader.

Publication Top Notes

Title: An explainable decision model for selecting facility locations in supply chain networks
Authors: Tin-Chih Toly Chen; Yu-Cheng Wang; Yi-Chi Wang
Journal: Supply Chain Analytics
Year: 2025

Title: Enhancing the effectiveness of output projection in wafer fabrication using an Industry 4.0 and XAI approach
Authors: Tin-Chih Toly Chen; Yu-Cheng Wang; Chi-Wei Lin
Journal: The International Journal of Advanced Manufacturing Technology
Year: 2024

Title: Adapted techniques of explainable artificial intelligence for explaining genetic algorithms on the example of job scheduling
Authors: Yu-Cheng Wang; Toly Chen
Journal: Expert Systems with Applications
Year: 2024

Title: Evaluating innovative future robotic applications in manufacturing using a fuzzy collaborative intelligence approach
Authors: Tin-Chih Toly Chen; Yu-Cheng Wang
Journal: The International Journal of Advanced Manufacturing Technology
Year: 2024

Title: A heterogeneous fuzzy collaborative intelligence approach: Air quality monitor selection study
Authors: Tin-Chih Toly Chen; Yu-Cheng Lin; Yu-Cheng Wang
Journal: Applied Soft Computing
Year: 2023

Title: Prediction of engine failure time using principal component analysis, categorical regression tree, and back propagation network
Authors: Yu-Cheng Wang
Journal: Journal of Ambient Intelligence and Humanized Computing
Year: 2023

Title: Improving people’s health by burning low-pollution coal to improve air quality for thermal power generation
Authors: Tin-Chih Toly Chen; Teng Chieh Chang; Yu-Cheng Wang
Journal: Digital Health
Year: 2023

Title: A selectively calibrated derivation technique and generalized fuzzy TOPSIS for semiconductor supply chain localization assessment
Authors: Toly Chen; Yu-Cheng Wang; Pin-Hsien Jiang
Journal: Decision Analytics Journal
Year: 2023

Title: New XAI tools for selecting suitable 3D printing facilities in ubiquitous manufacturing
Authors: Yu-Cheng Wang; Toly Chen
Journal: Complex & Intelligent Systems
Year: 2023

Title: A modified random forest incremental interpretation method for explaining artificial and deep neural networks in cycle time prediction
Authors: Toly Chen; Yu-Cheng Wang
Journal: Decision Analytics Journal
Year: 2023

Title: 3D Printer Selection for Aircraft Component Manufacturing Using a Nonlinear FGM and Dependency-Considered Fuzzy VIKOR Approach
Authors: Yu-Cheng Wang; Tin-Chih Toly Chen; Yu-Cheng Lin
Journal: Aerospace
Year: 2023

Title: An efficient approximating alpha-cut operations approach for deriving fuzzy priorities in fuzzy multi-criterion decision-making
Authors: Tin-Chih Toly Chen; Yu-Cheng Wang; Min-Chi Chiu
Journal: Applied Soft Computing
Year: 2023

Title: A novel auto-weighting deep-learning fuzzy collaborative intelligence approach
Authors: Yu-Cheng Wang; Tin-Chih Toly Chen; Hsin-Chieh Wu
Journal: Decision Analytics Journal
Year: 2023

Title: An explainable deep-learning approach for job cycle time prediction
Authors: Yu-Cheng Wang; Toly Chen; Min-Chi Chiu
Journal: Decision Analytics Journal
Year: 2023

Conclusion

Dr. Yu-Cheng Wang has consistently demonstrated academic excellence and research innovation across aeronautical engineering, explainable AI, and smart manufacturing systems. In publications in leading SCI/Scopus-indexed journals, an h-index of , and more than  citations, his work bridges theory with impactful industrial applications, particularly in semiconductor manufacturing and Industry 4.0 transformations. His leadership as Department Chair, coupled with collaborations with renowned scholars, highlights his influence on both research and education. Recognized for advancing interpretable AI for real-world adoption, Dr. Wang’s contributions embody the spirit of innovation, making him a strong and deserving candidate for the Best Researcher Award.

Ezzat Marzouk | Agricultural and Biological Sciences | Best Research Article Award

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Prof. Dr. Ezzat Marzouk | Agricultural and Biological Sciences | Best Research Article Award

Senior Expert at Agricultural Research Department | Qatar

Prof. Dr. Ezzat Marzouk  is a distinguished Environmental Scientist and Soil Science expert with more than 25 years of international experience across Qatar, Egypt, the UK, and Australia. Currently serving as Senior Environmental Scientist at the Ministry of Municipality, Qatar, he leads agricultural research programs and manages national soil sustainability initiatives. He has played a pivotal role in establishing Qatar’s  million Central Laboratories for Agricultural Analysis, positioning the country at the forefront of soil and environmental research in the region. Prof. Marzouk has published  peer-reviewed articles in high-impact journals  and supervised over a dozen graduate students, demonstrating his commitment to advancing knowledge and mentoring the next generation of scientists. With expertise in soil remediation, nanotechnology applications, and environmental sustainability, he has also secured over million in competitive research funding. His leadership and innovation continue to shape sustainable agriculture and environmental policy in the Middle East.

Professional Profile

ORCID Profile | Scopus Profile | Google Scholar

Education 

Prof. Dr. Ezzat Marzouk holds a strong academic background in Environmental and Soil Sciences. He earned his Ph.D. in Environmental Science from the University of Nottingham, UK, supported by a prestigious Egyptian Government Scholarship. His dissertation, supervised by Prof. Scott D. Young, explored multi-element stable isotope dilution to quantify metal reactivity in soil, a novel approach in soil contamination studies. Earlier, he completed his M.Sc. in Soil Sciences  from Suez Canal University, Egypt, focusing on the impact of organic residues on phosphorus availability in North Sinai soils. His academic journey began with a B.Sc. in Environmental Agricultural Sciences from the same university, graduating with distinction. This academic trajectory reflects his deep expertise in environmental remediation, agricultural sustainability, and soil chemistry. Prof. Marzouk’s education laid the foundation for his multidisciplinary research, combining environmental science, agricultural innovation, and advanced analytical techniques for global environmental challenges.

Professional Experience 

Prof. Dr. Ezzat Marzouk  has held influential academic and research positions in Qatar, Egypt, and Australia. He has served as Senior Expert, Agricultural Research Department, Ministry of Municipality, Qatar, leading national soil sustainability programs and overseeing Qatar’s Central Laboratories for Agricultural Analysis .He was Head of the Soil and Water Sciences Department at Arish University, Egypt, where he enhanced research output by  and modernized the curriculum. Earlier, as Dean of the Institute of Environmental Studies, he guided students and 300 faculty during the COVID-19 digital transformation. His international exposure includes serving as a Research Associate at the University of South Australia  on an ARC-funded project examining contaminant-nanoparticle interactions. With extensive leadership roles, grant management, and cross-border collaborations, Prof. Marzouk has established himself as a global leader in environmental science, soil research, and agricultural sustainability.

Research Interest

Prof. Dr. Ezzat Marzouk  research focuses on environmental remediation, soil quality, and sustainable agriculture. His work emphasizes innovative solutions for soil contamination, particularly the application of nanotechnology and stable isotope analysis in soil science. He has pioneered research on metal speciation, contaminant reactivity, and nanoparticle interactions, which are critical for understanding soil health and environmental risks. Prof. Marzouk also explores the role of soil management strategies in enhancing agricultural sustainability and food security, with a strong focus on arid and semi-arid environments like Qatar. His current projects include developing innovative methods for mercury detection and remediation in arid soils and conducting a comprehensive soil health assessment across Qatar’s agricultural regions. His multidisciplinary approach bridges environmental chemistry, agricultural science, and climate adaptation, making his research highly relevant to global challenges such as soil degradation, food sustainability, and environmental pollution. His ultimate goal is to build sustainable systems that balance environment, agriculture, and development.

Award and Honor

Prof. Dr. Ezzat Marzouk  has earned significant recognition for his contributions to environmental and agricultural sciences. His competitive research funding stands as a testament to his leadership in advancing impactful research projects. He has been entrusted with major initiatives such as establishing Qatar’s Central Laboratories for Agricultural Analysis  and leading high-profile national projects on soil sustainability and remediation. His academic excellence has been further acknowledged through multiple international collaborations, fellowships, and invitations to contribute to global research forums. During his tenure as Dean and Department Head in Egypt, he was recognized for curriculum innovation, digital transformation during COVID-19, and international partnerships. At the University of South Australia, his research fellowship produced six high-impact publications, earning him global credibility. Collectively, his honors highlight his ability to secure large-scale research projects, publish influential studies, and mentor future leaders, making him an esteemed figure in environmental science.

Research Skill

Prof. Dr. Ezzat Marzouk possesses advanced research skills that span qualitative and quantitative environmental analysis. He is proficient in stable isotope techniques, metal speciation, and nanotechnology applications in soil and environmental systems. His expertise includes developing innovative methods for soil remediation, contaminant tracking, and agricultural sustainability assessments. Beyond laboratory expertise, Prof. Marzouk is highly skilled in research grant writing and project management, with a proven ability to secure and lead multi-million-dollar projects. He has successfully supervised  graduate students, equipping them with cutting-edge research methodologies. Additionally, his skills extend to establishing laboratories from the ground up, demonstrated by his leadership in building Qatar’s Central Agricultural Labs. He is also adept at scientific publishing, peer review, and presenting research findings at international platforms. His strong capacity to integrate technical innovation, leadership, and mentorship ensures that his research not only advances academic knowledge but also drives real-world environmental solutions.

Publication Top Notes

Title: Corrigendum to “Comparison of modern and 40-year-old drinking water pipeline in northern Sinai region, Egypt: characteristics and health risk assessment”
Authors: Amany D. Mekal; Mona M. El-Shazly; Mohamed Ragab; Ezzat R. Marzouk
Journal: Journal of Trace Elements and Minerals
Year: 2024

Title: Erratum to “Corrigendum to ‘Comparison of modern and 40-year-old drinking water pipeline in northern Sinai region, Egypt: characteristics and health risk assessment’”
Authors: Amany D. Mekal; Mona M. El-Shazly; Mohamed Ragab; Ezzat R. Marzouk
Journal: Journal of Trace Elements and Minerals
Year: 2024

Title: Assessment of Groundwater Quality for Drinking and Domestic Use: Implications for Water Safety in El-Arish City, North Sinai, Egypt
Authors: Mai Abdeen; Ezzat Marzouk; Mona El Shazly; Sally Ismail
Journal: Sinai Journal of Applied Sciences
Year: 2023

Title: Comparison of Modern and 40-Year-Old Drinking Water Pipeline in Northern Sinai Region, Egypt: Characteristics and Health Risk Assessment
Authors: Amany D. Mekal; Mona M. El-Shazly; Mohamed Ragab; Ezzat R. Marzouk
Journal: Journal of Trace Elements and Minerals
Year: 2023

Title: Soil and Plant Contamination by Potentially Toxic and Emerging Elements and the Associated Human Health Risk in Some Egyptian Environments
Authors: Waleed H. Shetaya; Elizabeth H. Bailey; Scott D. Young; Elham F. Mohamed; Vasileios Antoniadis; Jörg Rinklebe; Sabry M. Shaheen; Ezzat R. Marzouk
Journal: Environmental Geochemistry and Health
Year: 2023

Title: The toxicity and uptake of bulk and nano-sized ZnO particles in wheat (Triticum aestivum) seedlings
Authors: Fadya S. S. Keshta; Waleed H. H. Shetaya; Ezzat R. R. Marzouk
Journal: Journal of Plant Nutrition
Year: 2023

Title: Utilizing Tissue Culture Technique and ZnO Nanoparticle Stimulation to Propagate Asparagus aphyallus L. Plant
Authors: Ghada Gaballa; Sonia Shehata; Ezzat Marzouk
Journal: Sinai Journal of Applied Sciences
Year: 2023

Title: Assessing the Lability and Environmental Mobility of Organically Bound Copper by Stable Isotope Dilution
Authors: Ezzat R. Marzouk; Erica Donner; Frank von der Kammer; Elizabeth H. Bailey; Waleed H. Shetaya; Scott D. Young; Enzo Lombi
Journal: Environmental Science & Technology
Year: 2022

Title: Drinking Water Biological and Chemical Contaminants: A Case Study of Rural Areas of Northwest Sinai, Egypt
Authors: Hassan Swelam; Mona El Shazly; Ezzat Marzouk
Journal: Sinai Journal of Applied Sciences
Year: 2022

Title: Effect of Biochar Amendment on Spinach (Spinacia oleracea L.) Growth Under Salt Stress Conditions
Authors: Yasmin Hussein; Mostafa Hassan; Ezzat Marzouk; Sally Ismail
Journal: Sinai Journal of Applied Sciences
Year: 2022

Title: Toxicity and Uptake of CuO Nanoparticles: Evaluation of an Emerging Nanofertilizer on Wheat (Triticum aestivum L.) Plant
Authors: Amany S. Ibrahim; Gomaa A. M. Ali; Amro Hassanein; Ahmed M. Attia; Ezzat R. Marzouk
Journal: Sustainability
Year: 2022

Title: Olive Mill Waste-Based Anaerobic Digestion as a Source of Local Renewable Energy and Nutrients
Authors: Mohamed Aboelfetoh; Amro Hassanein; Mohamed Ragab; Mohamed El-kassas; Ezzat R. Marzouk
Journal: Sustainability
Year: 2022

Title: Assessments of Environmental Sensitivity to Desertification in Ber El-Abd Area, North Sinai, Egypt Using MEDALUS Model
Authors: Hend Abd El-Hameed; Ezzat Marzouk; Mohamed Abdo; Abdel-Aziz Abdelmontaleb
Journal: Sinai Journal of Applied Sciences
Year: 2020

Conclusion

Prof. Dr. Ezzat Marzouk  stands as a leading figure in environmental science and soil research, with a distinguished career spanning over 25 years across Qatar, Egypt, the UK, and Australia. His scholarly contributions, reflected in more than 50 peer-reviewed publications, advance knowledge in soil remediation, nanotechnology applications, stable isotope analysis, and sustainable agricultural practices. Beyond research, he has secured over  million in competitive funding, established state-of-the-art laboratories, and supervised the next generation of scientists. His pioneering work ranging from water quality assessment and nanoparticle toxicity to biochar applications and soil health monitoring has had a direct impact on food security, sustainability policies, and environmental risk management in the Middle East and beyond. Prof. Marzouk’s career exemplifies the integration of scientific innovation with practical solutions, ensuring that his research continues to shape environmental sustainability and agricultural resilience worldwide.

Oluwole Joseph Oladunni | Engineering Econometrics | Best Researcher Award

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Dr. Oluwole Joseph Oladunni | Engineering Econometrics | Best Researcher Award

Research Associate at Durban University of Technology, South Africa

Oluwole Joseph Oladunni is a driven industrial and mechanical engineering researcher with strong expertise in management, energy systems, and advanced manufacturing. He has built an international academic and professional profile spanning Nigeria, South Africa, and Hong Kong. Currently pursuing a Doctor of Engineering in Industrial Engineering at Durban University of Technology, he works as a Research Assistant focusing on energy econometrics and greenhouse gas mitigation in transportation. His career includes hands-on industry experience at Coscharis Motors, Dangote Cement, and Kazlatech Alum. Roofings, as well as teaching and research positions in academia. Oluwole’s global research footprint extends to The Hong Kong Polytechnic University, where he participated in a PhD exchange program on MINLP-programming and additive manufacturing. A recipient of multiple scholarships and commendations, he has also contributed as a tutor in quality engineering and as an energy research analyst. His vision is to integrate innovation, sustainability, and technology in solving real-world industrial challenges.

Professional Profile

Scopus Profile | ORCID Profile

Education

Oluwole Joseph Oladunni’s educational journey reflects a strong foundation in engineering and management, complemented by international exposure. He is currently enrolled in the Doctor of Engineering (D.Eng.) program in Industrial Engineering at Durban University of Technology, South Africa, expected to conclude. Prior to this, he obtained a Master of Engineering in Industrial Engineering from Tshwane University of Technology , where his thesis focused on mitigating greenhouse gas emissions in the transport sector. He earned his Bachelor of Engineering Technology (Honours) in Mechanical Engineering from Ladoke Akintola University of Technology, Nigeria. Beyond core engineering, he has enhanced his profile with a Graduate Proficiency Certificate in Management from the Nigerian Institute of Management and a Certificate Course in Additive Manufacturing – Product Development from the Central University of Technology, Bloemfontein. Earlier credentials include a Diploma in Data Processing  and Senior Secondary education at Remo Divisional High School, Nigeria.

Experience 

Oluwole has gained valuable experience at the intersection of academia, research, and industry. As a Research Assistant at Durban University of Technology, he worked on energy econometrics systems aimed at mitigating GHG/CO2 emissions in South Africa’s transport industry under the supervision of Dr. Ibrahim Idowu and Mendon Dewa. He also contributed as a tutor in Quality Engineering . He broadened his scope through a PhD research exchange at The Hong Kong Polytechnic University, where he engaged in MINLP programming and additive manufacturing materials research under Professor C.K.M. Lee. His Master’s thesis at Tshwane University of Technology  focused on sustainable transport models. Professionally, Oluwole has worked at Coscharis Motors in Lagos as a Fleet Administrator, where he handled diagnostics, vehicle recovery, and technical reporting. Earlier, he held roles at Dangote Cement, Kazlatech Alum. Roofings, and Pathfinder College, alongside part-time teaching and service roles, combining technical expertise with leadership experience.

Research Interest

Oluwole Joseph Oladunni’s research interests lie in the fields of industrial engineering, energy systems, sustainability, and advanced manufacturing. His doctoral research emphasizes the application of energy econometrics to develop models that mitigate greenhouse gas and CO2 emissions in the transportation industry, a critical challenge for South Africa and beyond. He is also deeply engaged in optimization modeling, specifically Mixed-Integer Nonlinear Programming (MINLP), and its applications in industrial processes. His exposure at The Hong Kong Polytechnic University expanded his focus toward additive manufacturing and process formulation, integrating computational modeling with materials science. He has a broader interest in renewable energy, solar power systems, and sustainable industrial practices, with a strong inclination toward applying green technologies to improve efficiency and reduce environmental footprints. His work demonstrates a balance between theoretical modeling and practical applications, reflecting his commitment to solving real-world problems through research innovation, industrial collaboration, and technological advancement.

Award and Honor

Oluwole academic and professional excellence has been consistently recognized with prestigious awards and scholarships.He earned the West Africa Portland Cement Sagamu Scholarship during his undergraduate studies. His leadership qualities were acknowledged with the Outstanding Hostel Representative Award  and the Best Class Governor Award from the Nigerian Institute of Management . During his National Youth Service Corps (NYSC) year in Lagos State, he received a commendation certificate for his impactful contributions to community education. More recently, his doctoral research efforts have been supported by the Durban University of Technology Scholarship. His international exposure was made possible through The Hong Kong Polytechnic University PhD Exchange Attachment Scholarship and the Research Exchange Scholarship, enabling him to pursue advanced studies in industrial and systems engineering abroad. These recognitions highlight his strong academic performance, leadership, and dedication to sustainable research in industrial engineering.

Research Skill

Oluwole possesses a diverse set of research and technical skills that bridge industrial engineering, mechanical systems, and sustainability. He is proficient in mathematical modeling, optimization techniques, and the use of software applications for industrial process simulation. His expertise includes Mixed-Integer Nonlinear Programming (MINLP), energy econometrics, and additive manufacturing technologies. He is experienced in Computer-Aided Design (CAD) using Autodesk Inventor, renewable energy system design and conveyor belt system applications. In addition, he has strong laboratory and diagnostic skills, including vehicle troubleshooting, system analysis, and interpretation of wiring diagrams. His research training has also encompassed ethics, artificial intelligence tools, functional materials for personal protection, and digital product development. Through teaching and research assistant roles, he has developed strong communication, academic writing, and tutoring skills. Oluwole’s interdisciplinary skillset allows him to combine theoretical modeling with practical solutions, making his contributions impactful in addressing industrial, environmental, and technological challenges.

Publication Top Notes

Title: The Environmental Kuznets Curve (EKC) Hypothesis on GHG emissions: analyses for transportation industry of South Africa
Authors: Oladunni, O. J., Olanrewaju, O. A., & Lee, C. K. M.
Journal: Discover Sustainability
Year: 2024

Title: Greenhouse gas emissions and its driving forces in the transport sector of South Africa
Authors: Oladunni, O. J., Mpofu, K., & Olanrewaju, O. A.
Journal: Energy Reports
Year: 2022

Title: Effects of the impact factors on transportation sector’s CO2-eq emissions: Panel evaluation on South Africa’s major economies
Authors: Oladunni, O. J., & Olanrewaju, O. A.
Journal: Atmosphere
Year: 2022

Conclusion

Oluwole Joseph Oladunni is an emerging scholar whose research bridges industrial engineering, mechanical systems, and sustainability management, with a special focus on reducing greenhouse gas (GHG) emissions in the transportation sector. Through his doctoral and postgraduate work across South Africa, Nigeria, and Hong Kong, he has developed expertise in energy econometrics, additive manufacturing, and environmental modeling. His contributions to peer-reviewed journals including Discover Sustainability, Energy Reports, and Atmosphere highlight his significant role in advancing knowledge on the Environmental Kuznets Curve (EKC) hypothesis, emission-driving factors, and mitigation strategies for South Africa’s transport industry. Beyond research, his professional experiences span teaching, engineering practice, and industrial administration, reflecting a strong balance of technical, academic, and managerial skills. Recognized through multiple scholarships and commendations, Oladunni’s career embodies a commitment to innovation, sustainability, and global collaboration. His work continues to contribute to the development of cleaner, more efficient, and environmentally responsible industrial systems.

Seema Choudhary | Computer Vision | Best Researcher Award

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Ms. Seema Choudhary | Computer Vision | Best Researcher Award

CSIR-Senior Research Fellow at CSIR-CEERI, India

Seema Choudhary is a passionate and skilled Project Associate at the Council of Scientific and Industrial Research Central Electronics Engineering Research Institute (CSIR-CEERI), Pilani, Rajasthan. With expertise in computer vision, machine learning, and artificial intelligence, she has contributed to developing innovative AI-driven solutions in healthcare, surveillance, and industrial automation. Her professional journey reflects a strong commitment to applying deep learning and embedded systems for real-world challenges such as UAV-based monitoring, medical imaging, driver drowsiness detection, and infrastructure inspection. She has published research in reputed journals, including Springer’s Applied Intelligence, and is actively engaged in collaborative scientific programs such as Japan’s prestigious Sakura Science Program Fellowship. Known for her strong analytical mindset, adaptability, and leadership, Seema blends technical depth with teamwork to drive impactful research outcomes. She continues to pursue excellence in AI applications, aiming to bridge advanced algorithms with practical social and industrial benefits.

Professional Profile

Google Scholar

Education 

Seema Choudhary holds a strong academic foundation in electronics, VLSI design, and artificial intelligence. She earned her M.Tech. in VLSI Design from Mody University of Science and Technology, Sikar, Rajasthan, graduating. Prior to this, she completed her B.Tech. in Electronics and Telecommunication from the same university. During her academic journey, she undertook significant thesis projects, including Vehicle Detection in Aerial Images using Hardware Accelerator, where she explored feature extraction, selection techniques, and deep learning-based classification methods for aerial image analysis. Seema’s education also included practical exposure through industrial training at Hewlett Packard Enterprise, Jaipur, where she gained insights into embedded systems and robotics. Complementing her formal education, she has pursued certifications in AI, machine learning, TensorFlow, and robotics, further strengthening her technical skill set. Her academic background seamlessly aligns with her research and professional pursuits.

Experience 

Seema Choudhary professional experience highlights her ability to integrate deep learning with practical engineering challenges. She began as a Project Associate-I in the Intelligent Systems Group at CSIR-CEERI, where she developed deep learning-based algorithms for UAV object detection, face recognition attendance systems, and AI-based COVID-19 testing tools using chest X-rays. Since December , she has been working as a Project Assistant-III in the Cognitive Computing Group at CSIR-CEERI, focusing on computer vision algorithms for fatigue and drowsiness detection in drivers and industrial workers. Her contributions include designing AI models for healthcare, such as fall detection in elderly care, and developing drone-based monitoring systems for power lines and communication towers. Her work has been instrumental in applying AI solutions for safety, surveillance, and industrial automation. Seema’s experience demonstrates her ability to bridge cutting-edge AI research with impactful societal applications, reflecting her dedication to applied machine learning and computer vision.

Research Interest

Seema Choudhary’ research interests lie at the intersection of artificial intelligence and real-world problem-solving. Her focus areas include computer vision, deep learning, machine learning, and medical imaging, where she applies AI algorithms to challenges in healthcare, surveillance, and industrial monitoring. She has worked extensively on driver drowsiness detection, fall detection for elderly care, UAV-based monitoring, and AI-powered COVID-19 screening tools, showcasing her ability to address critical societal and safety needs. Beyond healthcare, her interest extends to embedded AI implementation, where she integrates algorithms with hardware platforms for practical deployment in resource-constrained environments. She is also deeply engaged in data handling, anomaly detection, and image processing, with applications ranging from aerial object detection to power line inspections. With growing expertise in TensorFlow, Keras, PyTorch, and cloud-native tools like Kubernetes and Docker, Seema continues to expand her research toward intelligent, scalable, and socially impactful AI-driven systems.

Award and Honor

Seema Choudhary has been recognized for her academic and professional excellence through multiple honors. A key highlight of her career is being awarded the Sakura Science Program Fellowship by the Government of Japan , which allowed her to visit Nagasaki University under the prestigious international exchange initiative. She is also a Member of the Institution of Engineering and Technology (IET) – India, reflecting her professional recognition within the engineering community. Beyond formal fellowships, Seema has been active in co-curricular and scientific engagements, including participation in the India International Science Festival in Goa, and contributing to creative and academic events during her university studies. Her early achievements include securing the Gargi Prize and Certificate by the Government of India and excelling in sports, notably earning second place in a state-level Kabaddi competition. These honors reflect her versatile talents, leadership qualities, and commitment to academic and professional growth.

Research Skill

Seema Choudhary possesses an extensive range of research and technical skills that bridge theory with application. She is proficient in machine learning, deep learning, computer vision, and medical imaging, enabling her to design and implement AI-driven solutions for real-world problems. Her software expertise includes Python, C, C++, MATLAB, and libraries such as TensorFlow, Keras, PyTorch, Scikit-Learn, NumPy, Pandas, SciPy, and Matplotlib. She is skilled in data analysis, data management, image processing, and applying ensemble learning methods. Her technical toolkit extends to modern infrastructure technologies like Docker and Kubernetes, allowing her to build scalable AI deployments. Seema is equally adept in project management, teamwork, and leadership, making her effective in collaborative research settings. With hands-on experience in algorithm development for UAVs, driver monitoring, healthcare AI, and power line inspection, she demonstrates the ability to translate complex AI concepts into deployable, high-impact systems across diverse industries.

Publication Top Notes

Title: Capsule Networks for Computer Vision Applications: A Comprehensive Review
Authors: S. Choudhary, S. Saurav, R. Saini, S. Singh
Journal: Applied Intelligence, Springer, Vol. 53(19), pp. 21799–21826
Year: 2023
Citations: 24

Title: LPC-Det: Attention-Based Lightweight Object Detector for Power Line Component Detection in UAV Images
Authors: S. Choudhary, S. Saurav, P. Gidde, R. Saini, S. Singh
Journal: Computers and Electrical Engineering, Elsevier, Vol. 126, Article 110476
Year: 2025

Title: Benchmarking YOLO Object Detectors for Component Detection in Power Line Infrastructure: Dataset and Results
Authors: S. Choudhary, S. Saurav, R. Saini, S. Singh
Conference: International Conference on Computer Vision and Image Processing (CVIP).
Year: 2024

Conclusion

Seema Choudhary has established herself as a dedicated researcher in the domains of Computer Vision, Artificial Intelligence, and Deep Learning with strong applications in healthcare, UAV-based surveillance, and infrastructure monitoring. Her academic background in Electronics, Telecommunication, and VLSI Design, coupled with her professional experience at CSIR-CEERI, reflects her ability to bridge theory with practical innovations. Her research contributions, including a comprehensive review on Capsule Networks Applied Intelligence with significant citations, development of, and benchmarking YOLO-based detectors , highlight her expertise in designing efficient AI-driven systems for real-world applications. Recognized with honors such as the Sakura Science Program Fellowship from the Government of Japan, she continues to advance impactful solutions for automation, safety, and healthcare. With a strong skill set in deep learning frameworks, programming, and data handling, she stands as a promising researcher whose work contributes meaningfully to both academia and industry.

Agatha Stanek | Medicine and Health Sciences | Best Researcher Award

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Dr. Agatha Stanek | Medicine and Health Sciences | Best Researcher Award

MD at Brigham and Women’s Hospital, United States

Dr. Agatha Stanek, MD, FRCPC, is a distinguished Body Imaging Radiologist at Brigham and Women’s Hospital, Boston, MA. With extensive clinical expertise and a strong academic background, she has established herself as a leading specialist in diagnostic and body imaging radiology. Dr. Stanek earned her Doctorate in Medicine from the University of Ottawa, followed by residency training in Diagnostic Radiology at McGill University. She completed a prestigious fellowship in Body Imaging at Massachusetts General Hospital, Harvard University. Over the years, she has held staff radiologist positions across Canada before moving to Boston to join one of the world’s premier academic hospitals. Her research has led to influential publications in peer-reviewed journals on topics ranging from pancreatic cancer surveillance to minimally invasive procedures and imaging techniques. Actively involved in teaching, mentorship, and professional societies, Dr. Stanek contributes to advancing radiology practice, education, and faculty development at national and international levels.

Professional Profile

Scopus Profile

Education 

Dr. Agatha Stanek academic journey reflects her dedication to radiology and medical excellence. She began with an Honours Bachelor of Science in Health Sciences, with a minor in Psychology, at the University of Ottawa. She went on to earn her Doctorate in Medicine from the University of Ottawa , where she developed an early interest in imaging and clinical research. Her postgraduate training included a rigorous Diagnostic Radiology Residency at McGill University , where she refined her skills in advanced diagnostic techniques. To further specialize, Dr. Stanek pursued a fellowship in Body Imaging at Massachusetts General Hospital, Harvard University , gaining expertise in abdominal, pelvic, and oncologic imaging. Alongside clinical training, she completed the USMLE Steps and the ABR Core Examination, ensuring her qualifications across both Canadian and U.S. medical boards. This strong educational foundation has prepared her for leadership in both academic and clinical radiology.

Experience 

Dr. Agatha Stanek has built a diverse career across top medical institutions in North America. She began her clinical work in Canada, serving as a General Radiology Staff Physician at Lanaudière Regional Hospital in Joliette, Quebec . She then worked as a locum radiologist at Aberdeen Hospital in Nova Scotia, further broadening her general radiology expertise. She joined Mayfair Diagnostics in Calgary, Alberta, where she focused on body imaging and gained significant experience in advanced diagnostic procedures. Dr. Stanek accepted a position at Brigham and Women’s Hospital in Boston, Massachusetts, where she now serves as a Body Imaging Radiologist and contributes to both clinical care and academic development. In addition to her clinical work, she has taken on leadership roles in faculty development, residency training, and professional committees, demonstrating her commitment to advancing medical education and radiology practice at the international level.

Research Interest

Dr. Agatha Stanek  research interests lie in body imaging, diagnostic radiology, and interventional procedures, with a focus on improving patient outcomes through advanced imaging techniques. She has explored key areas such as the diagnostic yield and safety of percutaneous renal biopsies, imaging of adnexal masses, and minimally invasive interventions like percutaneous cholecystostomy. Her collaborative research in oncology has addressed surveillance strategies for individuals with genetic or familial pancreatic cancer syndromes, questioning the adequacy of current biannual screening practices. Dr. Stanek has also studied complications following surgical procedures, including heterotopic ossification after damage control laparotomy. Beyond clinical applications, she is interested in the role of education and faculty development in radiology, having published and presented on training methods for oral board preparation. Her work reflects a blend of clinical expertise, innovation, and academic leadership, with a strong emphasis on translating research findings into practice for improved diagnostic accuracy and patient safety.

Award and Honor

Dr. Agatha Stanek has received recognition for her academic excellence, professional contributions, and leadership in radiology. She has served in influential roles such as Editor for the Society of Abdominal Radiology and article reviewer, highlighting her expertise and standing in the field. She was also a member of the Radiology Residency and Fellowship Competency Committee at Brigham and Women’s Hospital, reflecting her active role in academic medicine. Earlier in her career, Dr. Stanek was selected as a Radiology Resident Representative for both the Canadian Association of Radiologists and the American College of Radiology, underscoring her leadership potential. She has also been invited to present her research at prestigious international conferences, including the Radiological Society of North America (RSNA), the Association of Academic Radiology, and the Canadian Conference on Medical Education. These distinctions underscore her contributions not only as a clinician but also as an educator and researcher.

Research Skill

Dr. Agatha Stanek possesses strong research skills that span clinical investigation, imaging studies, and academic writing. She is highly proficient in designing and conducting clinical research projects in diagnostic and body imaging, with particular expertise in retrospective and prospective data analysis. Her published works demonstrate her ability to collaborate across multi-institutional teams, manage complex datasets, and apply rigorous statistical methods to evaluate diagnostic outcomes and procedural safety. She has successfully translated clinical questions into impactful studies, resulting in publications in high-impact journals such as Injury, Abdominal Radiology, and the Journal of the National Comprehensive Cancer Network. Dr. Stanek is also skilled in educational research, having studied medical curricula and innovative training methods. She is adept at scientific writing, peer reviewing, and preparing abstracts for national and international conferences. Her well-rounded research capabilities enable her to contribute significantly to advancing knowledge in radiology and improving patient-centered imaging practices.

Publication Top Note

Title: Life imitating art: Depictions of the hidden curriculum in medical television programs
Authors: Agatha Stanek, Christopher Clarkin, David Bould, Helen Writer, Ammar Doja
Journal: BMC Medical Education
Year: 2015

Conclusion

Dr. Agatha Stanek The study concludes that medical television programs portray elements of the hidden curriculum that mirror real-world medical education, including hierarchical relationships, professionalism, and ethical dilemmas. These depictions can shape both public perceptions of medicine and learners’ attitudes toward the profession. While dramatized, such portrayals provide opportunities to reflect on implicit cultural and social lessons within medical training. The authors suggest that educators can use these representations as teaching tools to raise awareness of the hidden curriculum, encourage critical thinking, and foster open dialogue among medical students. Ultimately, integrating media depictions into education may help learners recognize and address unspoken values and behaviors encountered in their training, supporting the development of more reflective and socially responsible physicians.

Hossein Jokar | Energy Systems and Optimization | Best Researcher Award

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Dr. Hossein Jokar | Energy Systems and Optimization | Best Researcher Award

Researcher at Shiraz University of Technology, Iran

Dr. Hossein Jokar is an accomplished researcher and electrical engineer specializing in power systems, renewable energy, and smart grid technologies. He successfully completed his postdoctoral research in Electrical Engineering at Shiraz University of Technology . With over years of professional experience in the oil, gas, and petrochemical industries, Dr. Jokar has gained extensive expertise in the design, engineering, implementation, commissioning, and operation of electrical systems for heavy industries. His academic contributions include the publication of  Q1-ranked research articles in high-impact international journals, alongside service as a reviewer for six prestigious journals such as Renewable Energy, International Journal of Hydrogen Energy, and IEEE Access. Dr. Jokar has also contributed to academia as a Visiting Professor at Islamic Azad University, Bandar Abbas branch. His career reflects a strong integration of industrial practice with cutting-edge research, establishing him as a recognized figure in energy and power engineering.

Professional Profile

ORCID Profile | Scopus Profile

Education 

Dr. Hossein Jokar academic journey is rooted in electrical engineering, with a strong focus on power systems. He began with a Bachelor’s degree in Electrical Engineering from Islamic Azad University, Noorabad Mamsani branch, completed. Building upon this foundation, he pursued a Master’s degree in Electrical Engineering at Islamic Azad University, Kazerun branch, where he deepened his expertise in power networks and electrical system design. His passion for advanced research led him to earn a Ph.D. in Electrical Engineering  at Islamic Azad University, Marvdasht branch, graduating . His doctoral studies focused on optimization and innovation in power systems. To further refine his expertise, he undertook a Postdoctoral fellowship at Shiraz University of Technology, where he conducted specialized research in smart grids, renewable energy, cybersecurity in power networks, and electrical grid optimization, bridging theoretical advancements with industrial applications.

Experience 

Dr. Hossein Jokar has over two decades of professional experience in the field of electrical engineering, particularly in heavy industries.  he has worked as Electrical Department Manager in an oil company based in Bandar Abbas, Iran, where he has been responsible for the design, engineering, implementation, commissioning, and maintenance of electrical systems for oil, gas, and petrochemical plants. His leadership in managing complex industrial power systems has given him practical expertise in operational efficiency and energy optimization. Alongside his industry role, Dr. Jokar served as a Visiting Professor at Islamic Azad University, Bandar Abbas branch  where he taught courses in electrical engineering and mentored students in advanced power system studies. This blend of academic and industrial experience makes him uniquely positioned to translate research into practical solutions. His career reflects a balance of applied engineering, teaching, and cutting-edge research in energy systems and smart grids.

Research Interest

Dr. Hossein Jokar research interests lie at the intersection of renewable energy, smart grid systems, cybersecurity, and power system optimization. He is passionate about exploring sustainable energy solutions, focusing on how renewable resources such as solar and wind can be efficiently integrated into national and industrial power grids. His work also addresses the increasing challenges of cybersecurity in power networks, ensuring that modern grids are both resilient and secure against digital threats. Furthermore, he is dedicated to electrical grid optimization, applying advanced methods and data-driven approaches to improve stability, reliability, and efficiency. With an emphasis on practical industrial applications, his research bridges theory and real-world challenges, particularly in heavy industries like oil, gas, and petrochemicals. By combining decades of hands-on engineering experience with academic rigor, Dr. Jokar contributes to developing future-ready power systems that are sustainable, intelligent, and secure for the evolving energy landscape.

Award and Honor

Dr. Hossein Jokar has received recognition for his academic and professional contributions in electrical engineering and power systems. His publication record includes 8 Q1-ranked research papers in prestigious, high-impact international journals, which highlights his dedication to advancing energy and power system research. In addition, his role as a peer reviewer for six leading journals including Renewable Energy, International Journal of Hydrogen Energy, Energy Conversion and Management, Energy Strategy Reviews, International Journal of Electrical Power and Energy Systems, and IEEE Access demonstrates his standing in the scholarly community and commitment to scientific quality. To date, he has reviewed 19 manuscripts, reflecting his expertise and trust within the international academic network. His recognition extends beyond academia, as he has held long-term leadership roles in the oil and energy industry, earning respect for his applied contributions to industrial power system reliability, efficiency, and innovation.

Research Skill

Dr. Hossein Jokar possesses a comprehensive set of research skills in electrical engineering, power systems, and energy technologies. His expertise includes the design and optimization of renewable energy systems, enabling integration of solar and wind resources into power grids with maximum efficiency. He is skilled in smart grid development, applying advanced modeling, automation, and AI-driven solutions to enhance stability and resilience. A critical area of his proficiency lies in cybersecurity for power networks, where he investigates and develops protective strategies against digital threats to energy infrastructure. Additionally, Dr. Jokar is adept in electrical grid optimization, using simulation, computational tools, and practical methodologies to improve system performance, reduce losses, and ensure reliable operation. His experience as both a researcher and an industry professional gives him the unique ability to apply theoretical insights to real-world challenges. These combined skills position him as a valuable contributor to the future of sustainable energy systems.

Publication Top Notes

Title : Adaptive fuzzy global fast terminal sliding mode control of an over-actuated flying robot
Authors: Jokar, H.; Vatankhah, R.
Journal: Journal of the Brazilian Society of Mechanical Sciences and Engineering
Year: 2020

Title : Dynamic modeling and free vibration analysis of horizontal axis wind turbine blades in the flap-wise direction
Authors: Jokar, H.; Mahzoon, M.; Vatankhah, R.
Journal: Renewable Energy
Year: 2020

Title : Investor sentiment, stock price, and audit quality
Authors: Jokar, H.; Daneshi, V.
Journal: International Journal of Managerial and Financial Accounting
Year: 2020

Title : Micromechanical Modeling of the Effective Mechanical Behavior of Cerebral Cortex Tissue
Authors: Shahsavari, H.; Jokar, H.; Haghighi-yazdi, M.; Baghani, M.; Remond, Y.; George, D.; Mazraehei Farahani, M.; Baniassadi, M.
Journal: Iranian Journal of Science and Technology – Transactions of Mechanical Engineering
Year: 2020

Title : The Effects of Splinting on the Initial Stability and Displacement Pattern of Periodontio-Integrated Dental Implants: A Finite Element Investigation
Authors: Jokar, H.; Rouhi, G.; Abolfathi, N.
Journal: Journal of Medical and Biological Engineering
Year: 2020

Title : Investor sentiment, stock price and audit quality
Author: Hossein Jokar
Journal: International Journal of Managerial and Financial Accounting
Year: 2020

Title : Discovering determinants of trade credit demand: Evidence from top managers insight
Author: Hossein Jokar
Journal: Cogent Economics & Finance
Year: 2019

Title : A solar pressurizable liquid piston Stirling engine: Part 1, mathematical modeling, simulation and validation
Authors: Motamedi, M.; Ahmadi, R.; Jokar, H.
Journal: Energy
Year: 2018

Title : A solar pressurizable liquid piston Stirling engine: Part 2, optimization and development
Authors: Ahmadi, R.; Jokar, H.; Motamedi, M.
Journal: Energy
Year: 2018

Title : The moderating effect of the type of firms’ ultimate ownership on the relationship between dividends and earnings quality
Author: Hossein Jokar
Journal: Journal of Accounting Advances
Year: 2018

Title : The impact of investors’ behavior and managers’ overconfidence on stock return: Evidence from Iran
Author: Hossein Jokar
Journal: Cogent Business & Management
Year: 2018

Title : The Effect of Moderating Audit Quality on Investor Sentiment in Stock Pricing
Author: Hossein Jokar
Journal: Empirical Studies in Financial Accounting Quarterly
Year: 2018

Title : The Mechanism of Analyzing Investors’ Sentiments and Accounting Information on Stock Market Prices
Author: Hossein Jokar
Journal: Journal Management System
Year: 2018

Title : Investigating the effect of audit quality on the accounting information quality and information uncertainty
Author: Hossein Jokar
Journal: Journal of New Researches in Accounting and Auditing
Year: 2018

Title : Investigating the effect of accounting information quality and information uncertainty on the Investor Sentiment
Author: Hossein Jokar
Journal: Journal of Accounting and Auditing Review
Year: 2018

Conclusion

Dr. Hossein Jokar is a distinguished researcher and industry expert whose career seamlessly bridges academia and practical engineering. With a Ph.D. and postdoctoral research in Electrical Engineering at Shiraz University of Technology, he has established himself as a prolific scholar, publishing over Q1-ranked articles in leading international journals. His multidisciplinary research spans renewable energy systems, smart grids, cybersecurity in power networks, optimization of electrical grids, and advanced control systems.

Lichun Zhao | Pharmacology | Best Researcher Award

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Prof. Dr. Lichun Zhao | Pharmacology | Best Researcher Award

Guizhou University of Traditional Chinese Medicine, China 

Dr. Lichun Zhao, a distinguished researcher from Changchun, Jilin Province, China, is a leading figure in the field of trace elements and traditional Chinese medicine. He holds a Ph.D. and is currently a postdoctoral fellow at Hong Kong Baptist University. Serving as a doctoral supervisor, he is the Director of the Research Department and the Center for Trace Elements and Health Development at Guizhou University of Chinese Medicine. Dr. Zhao also plays an active role as the Executive Editor-in-Chief of Trace Elements and Health Research. He concurrently serves as Director of Guizhou Laboratory and Guangxi Key Laboratory for Endangered Medicinal Materials. Widely recognized for his pioneering work, Dr. Zhao was the first to propose the concept of “elemental traditional Chinese medicine” and identified rubidium as an essential trace element for human health. With extensive contributions to academia, innovation, and industry, he has become a highly regarded leader in Chinese medicine research.

Professional Profile

Scopus Profile

Education 

Dr. Lichun Zhao academic journey is rooted in strong training in traditional Chinese medicine and biomedical sciences. He earned his Ph.D., equipping him with advanced expertise in trace elements, pharmacology, and integrative approaches to health. His education provided a multidisciplinary foundation bridging modern science with traditional Chinese medicine. Currently, he continues academic development as a postdoctoral fellow at Hong Kong Baptist University, where he engages in innovative projects focusing on medicinal resources, trace elements, and health. His doctoral and postdoctoral training has enabled him to refine research methodologies, design large-scale projects, and lead interdisciplinary studies. Through these experiences, Dr. Zhao cultivated a deep interest in the mechanisms of trace elements in health and disease, especially within the context of Chinese medicine. His educational path reflects a blend of traditional knowledge and modern scientific techniques, empowering him to contribute pioneering concepts such as “elemental traditional Chinese medicine.”

Experience

Dr. Lichun Zhao has extensive academic, administrative, and research experience. At Guizhou University of Chinese Medicine, he serves as a doctoral supervisor, Director of the Research Department, and head of the Center for Trace Elements and Health Development. Beyond these roles, he is Executive Editor-in-Chief of Trace Elements and Health Research, promoting global visibility for the field. He also leads as Director of both the Guizhou Laboratory and the Guangxi Key Laboratory for Endangered Medicinal Resources. Dr. Zhao has hosted over projects funded by the Ministry of Science and Technology of China and the National Natural Science Foundation. He actively contributes to national scientific advancement as a project evaluation expert for the China National Science and Technology Award and other national programs. His prolific research has yielded over  publications,  patents, and recognized innovations in Chinese medicine product development, establishing him as an influential academic leader.

Research Interest

Dr. Lichun Zhao research interests lie at the intersection of trace elements, traditional Chinese medicine, and human health. He pioneered the novel concept of “elemental traditional Chinese medicine,” which integrates trace element science with TCM theory, offering new insights into disease prevention and therapy. A key focus of his research is on rubidium, which he identified as a crucial trace element for the human body. His work emphasizes the role of trace elements in health development, aging, chronic disease management, and drug innovation. Additionally, he explores endangered medicinal resources, working to preserve and utilize them through advanced biotechnological and pharmacological methods. His interests extend to innovative Chinese medicine product development, with contributions leading to certified products and clinical approvals. He also integrates big data and artificial intelligence into health research, promoting modernization and global recognition of Chinese medicine. His research ultimately bridges tradition with cutting-edge science.

Award and Honor

Dr. Lichun Zhao  has received numerous awards and honors recognizing his outstanding contributions to science and medicine. He was the first recipient of the National Youth Qihuang Scholar title and was honored as a National Youth Post Expert. Selected for Hong Kong’s “Excellent Talent Plan,” he was also recognized as an Outstanding Scholar in Guangxi and a leader in innovation teams in higher education. His distinction extends further as an Academic and Technological Leader in Guangxi New Century and as a candidate in the “Ten Hundred Thousand Talents Project.” Dr. Zhao has been honored with prestigious scientific awards, including the second prize of the Guangxi Science and Technology Progress Award, the second prize of the Jilin Province Natural Science Award, and the China Industry-University-Research Cooperation Innovation Award. His recognition reflects both his pioneering scientific achievements and his dedication to advancing the integration of traditional Chinese medicine with modern science.

Research Skill

Dr. Lichun Zhao possesses a wide range of research skills that reflect his expertise in both basic and applied sciences. He is adept in experimental pharmacology, trace element detection, and biochemistry techniques, enabling him to explore the role of elements in human health. His skills extend to the development of innovative Chinese medicine products, from preclinical research to clinical approval, as demonstrated by his leadership in achieving Hong Kong STC-certified products and a innovative Chinese medicine approval. Additionally, Dr. Zhao is highly skilled in project design and management, having led over  major international cooperation and national projects. His expertise in intellectual property development is evident in his patents and  software copyrights. He also integrates data science and artificial intelligence into health research, reflecting advanced skills in interdisciplinary innovation. Overall, his research skills bridge laboratory science, clinical application, and industry collaboration.

Publication Top Notes

Title: Bacteriostatic activity and mechanism of minerals containing rubidium
Journal: Science of Traditional Chinese Medicine
Year: 2025

Title: Traditional Chinese medicine in chronic rhinosinusitis: Mechanisms and postoperative recovery
Journal: Phytomedicine
Year: 2025
Citations: 3

Title: Rosmarinic acid promotes mitochondrial fission and induces ferroptosis in triple-negative breast cancer cells
Journal: Naunyn Schmiedeberg’s Archives of Pharmacology
Year: 2025
Citations: 13

Title: Interfacial Stabilization through MOF-Polymer Core-Shell Design: Ultraefficient, Stable and Recyclable Enzymatic Microreactors
Journal: ACS Applied Materials & Interfaces
Year: 2025

Title: Rubidium salt can effectively relieve the symptoms of DSS-induced ulcerative colitis
Journal: Biomedicine & Pharmacotherapy
Year: 2024
Citations: 22

Conclusion

Dr. Lichun Zhao has emerged as a leading scholar in the field of trace elements, traditional Chinese medicine (TCM), and biomedical innovation, making significant contributions to the intersection of environmental health, molecular pharmacology, and clinical applications. His pioneering concept of “elemental traditional Chinese medicine” and recognition of rubidium as an essential trace element has opened new directions in both theoretical and applied research.

Maryam Heidarian | Environmental Economics | Young Researcher Award

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Assist. Prof. Dr. Maryam Heidarian | Environmental Economics | Young Researcher Award

Faculty Member at Economic Affairs Research Institute, Iran

Dr. Maryam Heidarian,  Iran, is a distinguished economist specializing in energy economics, public sector policy, and environmental sustainability. She currently serves as an Assistant Professor and Faculty Member at the Economic Affairs Research Institute, Ministry of Economic Affairs and Finance, Tehran. With an academic journey spanning from a Bachelor’s in Business Economics to a Ph.D. in Public Sector, Urban, and Regional Economics at Razi University, and a postdoctoral fellowship at Al-Zahra University, she has established herself as a leading scholar in fiscal stress, environmental economics, and regional development. Dr. Heidarian has authored numerous ISI-indexed articles in high-impact journals, contributing to fields such as governance, innovation, environmental quality, and green growth. She has taught extensively across universities including Razi University, Kermanshah University of Technology, and Al-Zahra University. Recognized for her excellence in both research and teaching, she is actively engaged in national projects, policy consulting, and peer reviewing in top-tier academic journals.

Professional Profile

Scopus Profile

Education 

Dr. Maryam Heidarian educational path reflects deep specialization in economic sciences. She earned her Bachelor’s degree in Business Economics  from Razi University, Kermanshah, where she built strong foundations in economic theory and applied analysis. She then pursued a Master’s degree in Energy Economics , producing a thesis on the impacts of fuel efficiency in the transportation sector, awarded top distinction. Advancing further, she completed her Ph.D. in Economic Sciences  with a focus on the spatial and threshold effects of fiscal stress on regional growth and employment, achieving outstanding results. Her postdoctoral research at Al-Zahra University, Tehran expanded into the intersection of fiscal stress, environmental quality, and the knowledge-based economy. Alongside formal degrees, she has obtained certifications in business, entrepreneurship, and banking services. This educational trajectory, combined with her excellence as an outstanding student researcher, has equipped her with advanced expertise in econometrics, fiscal policy, and sustainable economic development.

Experience 

Dr. Maryam Heidarian has extensive academic and professional experience spanning teaching, research, and policy advisory roles. At Razi University, she taught microeconomics, economic thought, tourism economics, and energy economics, while also mentoring Olympiad students in econometrics. She later joined Kermanshah University of Technology, teaching econometrics, macroeconomics, and general economics, before moving to Al-Zahra University, where she continues to lecture on economics and management-related courses. Professionally, she holds the position of Assistant Professor and Faculty Member at the Economic Affairs Research Institute, Ministry of Economic Affairs and Finance, contributing to national-level economic research and policymaking. She has collaborated on projects for the Tax Office, Social Security Organization, Governorate, Cultural Heritage Organization, and Management and Planning bodies. Additionally, she serves as a peer reviewer for several leading journals, including Journal of the Knowledge Economy, Innovation and Green Development, and Quality & Quantity. Her dual expertise bridges academic rigor with applied policy solutions.

Research Interest

Dr. Maryam Heidarian research lies at the intersection of fiscal policy, regional development, energy economics, and environmental sustainability. Her doctoral and postdoctoral research explored fiscal stress and its threshold effects on growth, employment, and environmental quality, reflecting a deep interest in policy-driven economic challenges. She actively investigates the role of governance, innovation indices, and knowledge-based economy components in shaping green growth and sustainable development. Her studies further analyze technology spillovers, human development indicators, and international cooperation, particularly within developing and science-producing countries. She has published in prestigious journals such as Area Development and Policy, Studies in Economics and Econometrics, Social Indicators Research, and Quality & Quantity. Beyond theory, her work focuses on applying econometric and panel regression models to real-world issues like energy efficiency, pollution, and inequality. Overall, her research contributes to advancing evidence-based policymaking and aligning economic systems with long-term sustainability goals.

Award and Honor

Dr. Maryam Heidarian  academic journey is marked by significant honors and recognitions. she secured admission to the Ph.D. program at Razi University under the brilliant talents quota, a testament to her exceptional performance. she was honored as the Outstanding Student Researcher by the Faculty of Social Sciences at Razi University for her innovative contributions. Earlier, she earned recognition from the National Elite Foundation during the academic year, highlighting her status among Iran’s most promising scholars. Throughout her studies, she achieved top scores in her theses, including a perfect  in her Master’s research. Her research excellence has been further validated through the acceptance of multiple ISI-indexed articles derived from her doctoral and postdoctoral projects. In addition, she has received certifications in entrepreneurship, business skills, and banking services, demonstrating her broad commitment to academic excellence, professional development, and applied economic impact at national and international levels.

Research Skill

Dr. Maryam Heidarian possesses advanced research skills that integrate theoretical economics with applied econometric analysis. She is proficient in using econometric software such as Stata, Matlab, IViews, Macrofit, and Microsoft Office, enabling her to conduct rigorous quantitative modeling and policy simulations. Her skills encompass panel data econometrics, regression analysis, spatial econometrics, and threshold modeling, which she applies to study fiscal stress, governance, and environmental economics. Beyond methodological expertise, she has a strong track record in data-driven policy research, having contributed to provincial and national projects addressing taxation, social security, labor, tourism, and planning. She is also adept at translating complex findings into practical recommendations for decision-makers. With experience in writing and publishing in ISI and Scopus-indexed journals, she demonstrates strong academic communication and peer-reviewing capabilities. Combined, these skills position her as a versatile researcher, bridging academic inquiry with practical solutions for sustainable economic and environmental challenges.

Publication Top Notes

Title: “Cogitating the role of technological innovation and institutional quality in formulating the sustainable development goal policies for E7 countries: Evidence from quantile regression”
Authors: Ahsan Anwar, Summaira Malik, Paiman Ahmad
Journal: Global Business Review (abbreviated as Glob. Bus. Rev.)
Year: 2022

Conclusion

Dr. Maryam Heidarian highlights the crucial role of governance in promoting green growth across both emerging (E-7) and advanced (G-7) economies. Using panel quantile regression, the results confirm that the quality of governance measured through institutional effectiveness, regulatory capacity, and control of corruption exerts heterogeneous impacts across the distribution of green growth. For lower-performing countries, stronger governance serves as a foundational driver to overcome structural barriers to sustainability, while in higher-performing economies, good governance reinforces technological innovation and environmental policy effectiveness.

Mithilasri Manickavasagam | Agriculture in Sericulture | Best Researcher Award

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Dr. Mithilasri Manickavasagam | Agriculture in Sericulture | Best Researcher Award

Project Scientist at Anna University, India

Dr. Mithilasri Manickavasagam M.Sc (Agri), Ph.D., is a passionate researcher and academic from Tamil Nadu, India . Currently serving as a Project Scientist at the Centre for Climate Change and Disaster Management, Anna University, she is dedicated to addressing the impacts of climate variability and ecosystem vulnerability . With a strong academic background in sericulture, plant genetic evaluation, and climate-smart agriculture, she has actively contributed to sustainable forestry and ecological modeling. Her research focuses on forest ecosystems, species distribution modeling , and resilience strategies for climate change . Dr. Mithilasri has authored impactful publications in reputed journals, presented in international conferences, and trained forestry officials on climate adaptation. Recognized with prestigious awards like the Young Researcher Award and Best Ph.D. Thesis Award , she continues to advance innovative solutions in forestry, ecology, and climate-smart agriculture. Her work integrates science, technology, and sustainability for a greener future .

Professional Profile

Scopus Profile

Education

Dr. Mithilasri Manickavasagam academic journey reflects excellence and dedication . She earned her Ph.D. in Sericulture & Plant Genetic Evaluation from the Forest College and Research Institute, Tamil Nadu Agricultural University, where she achieved an impressive. Her doctoral research focused on clonal evaluation, and wood and leaf quality characterization of mulberry genetic resources . Prior to this, she completed her M.Sc. Agriculture in Sericulture  at the same institute, securing. Building her foundation, she obtained a B.Sc. (Agriculture) from Tamil Nadu Agricultural University . Her academic milestones not only highlight consistent brilliance but also showcase her deep commitment to agricultural sciences, forestry, and climate research . Beyond coursework, she enriched her expertise through specialized trainings in ArcGIS Pro, sericulture technology, statistics, and big data analytics. This strong educational background underpins her impactful research in climate-smart ecosystems .

Experience

Dr. Mithilasri Manickavasagam brings dynamic professional experience to the fields of forestry, agriculture, and climate change adaptation . she has been serving as a Project Scientist at the Centre for Climate Change and Disaster Management, Anna University, Chennai . She is actively engaged in the “Operationalization of Climate Studio” project, funded by the Government of Tamil Nadu, where she leads research on climate risk, vulnerability assessment, and ecosystem resilience . Beyond research, she has conducted capacity-building programs, training over  forest officials in climate adaptation strategies, and delivering expert lectures in multiple district-level stakeholder workshops . Earlier in her academic journey, she gained hands-on experience in ecological modeling, sericulture, and agroforestry systems . She also presented her findings at international and national conferences, contributing to knowledge-sharing platforms across India . With a blend of academic excellence and field expertise, she continues to drive sustainable solutions for climate resilience .

Research Interest

Dr. Mithilasri Manickavasagam research interests revolve around building sustainable ecosystems and tackling the challenges of climate change . Her core expertise lies in species distribution modeling (MaxEnt), where she studies the response of forest ecosystems to changing climate patterns . She focuses on climate variability, risk, and vulnerability assessment, particularly on how ecosystems and species adapt or migrate under stress conditions . Her work extends to climate-smart agriculture, integrating innovative farming practices that enhance productivity while reducing environmental impact . She is also interested in developing ecological models and applying decision support systems (DSSAT, ArcGIS, QGIS, ERDAS, R) to predict ecological outcomes and guide policy-making . By blending field research with computational modeling, she addresses pressing environmental challenges while contributing to sustainability goals . Her research ultimately bridges forestry, agriculture, and climate science to create resilient systems for the future .

Award and Honor

Dr. Mithilasri Manickavasagam outstanding contributions have been recognized through multiple awards and honors . She received the Best Oral Presentation Award at the Golden Jubilee International Conference on Crop Protection for Food Security, Tamil Nadu Agricultural University . Her doctoral research excellence was acknowledged with the Best Ph.D. Thesis Award at the HITASA International Conference, SR University, Warangal. Further, she was honored with the Young Researcher Award at the CITAAS International Conference, Guru Kashi University. In recognition of her dedication and innovation, she also earned the Young Women Scientist Award at the National Seminar on “Advancing Agricultural Frontiers for Sustainable Development” . These accolades highlight her pioneering work in forestry, sericulture, and climate adaptation research . Beyond academic recognition, her awards reflect her role as an inspiring scientist contributing to climate-smart solutions and sustainable development .

Research Skill

Dr. Mithilasri Manickavasagam possesses a diverse set of advanced research skills that empower her to tackle complex environmental and agricultural challenges . She is proficient in Species Distribution Modeling, enabling her to predict species migration and habitat changes under climate variability . Her expertise extends to ecological modeling, GIS applications (ArcGIS Pro, QGIS, ERDAS), and decision support systems for agrotechnology transfer . Additionally, she is skilled in statistical programming (R), applying big data analytics to assess climate risk and ecological patterns . She has hands-on experience in sericulture research, particularly mulberry genetic evaluation and silk utilization . Beyond technical skills, she is adept at capacity building, having trained forestry officials in climate change adaptation . Her research toolkit blends computational methods with field expertise, making her work highly impactful in advancing sustainable forestry, agriculture, and climate resilience .

Publication Top Note

Title: Assessment of species migration patterns in forest ecosystems of Tamil Nadu, India, under changing climate scenarios
Authors: A. Ramachandran; Mithilasri Manickavasagam; S. Hariharan; M. Mathan; S. N. Ahamed Ibrahim; Divya Subash Kumar; Kurian Joseph SpringerLinkOUCI
Journal: Theoretical and Applied Climatology, Volume 155, Issue 10, Pages 9185–9196 SpringerLinkOUCI
Year: 2024 (Published online on 9 September 2024) SpringerLinkResearchGate

Conclusion

Dr. Mithilasri Manickavasagam innovative application of modelling techniques, training and outreach contributions, and recognition through multiple research awards, Dr. M. Mithilasri stands out as a highly deserving candidate for a Best Researcher Award. Her research not only advances scientific knowledge but also provides practical solutions for climate resilience, ecosystem sustainability, and agricultural innovation. Her proven academic excellence, interdisciplinary expertise, and dedication to capacity building strongly justify her selection for this recognition.

Aixia Yuan | Engineering | Best Researcher Award

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Dr. Aixia Yuan | Engineering | Best Researcher Award

Teacher at Dalian Polytechnic University, China

Dr. Aixia Yuan is a passionate educator and researcher currently serving as a Teacher at Dalian Polytechnic University, China . She received her Ph.D. in Communication and Information Systems from Dalian Maritime University . With a strong background in wireless communication, filters, and radio frequency technology, she has authored and co-authored  research papers in international journals and conferences . Dr. Yuan teaches “Communication Principles”, a course recognized as an “Excellent Course” award-winning program . Her research explores negative group delay circuits, passive filters, RFID, and advanced communication systems . She has actively participated in provincial-level research projects and collaborated with industry partners to translate research into practical innovations . With three patents filed and multiple impactful contributions, Dr. Yuan continues to inspire her students and peers through her dedication to scientific excellence, innovation, and applied communication systems .

Professional Profile

ORCID Profile

Education 

Dr. Aixia Yuan’s educational journey reflects her deep commitment to communication engineering and information systems . She earned her Ph.D. in Communication and Information System from Dalian Maritime University, China.. Her doctoral work focused on advanced communication structures, filters, and negative group delay circuits, laying a strong foundation for her later research and teaching endeavors. Prior to her Ph.D., she built her academic base with solid training in electronics and wireless communication . Beyond her doctoral studies, Dr. Yuan has expanded her expertise through provincial-level education and science planning projects and collaborative academic programs . As a faculty member at Dalian Polytechnic University, she integrates her academic knowledge into teaching, mentoring, and curriculum development, especially in her recognized “Communication Principles” course . Her academic path demonstrates a perfect blend of rigorous theoretical training, applied research skills, and continuous innovation in communication systems .

Experience 

Dr. Aixia Yuan has accumulated extensive teaching and research experience as a faculty member at Dalian Polytechnic University . She has taught the “Communication Principles” course, which earned the prestigious “Excellent Course” award for its innovation in teaching and relevance in communication studies . On the research front, Dr. Yuan has completed five funded research projects and participated in multiple Liaoning provincial education and science initiatives . She has also worked on two projects under the Liaoning Province Department of Education, contributing to applied research in communication and radio frequency systems . Her professional expertise extends to industry collaborations, with five consultancy projects, bridging the gap between academia and practical technological development . publications and three patents filed, her professional journey demonstrates her dedication to advancing communication technologies while nurturing the next generation of engineers and researchers .

Research Interest

Dr. Aixia Yuan research interests lie at the intersection of communication systems and applied circuit design . She is particularly passionate about radio frequency communication (RFID), negative group delay circuits, and lumped parameter passive filters . Her innovative work in designing multifunctional circuits enables the realization of band-pass, high-pass, and low-pass filters with negative group delays without altering circuit structures . This flexibility offers promising applications in broadband communication and signal processing. She also focuses on wireless communication systems, addressing both theoretical foundations and real-world implementations . Dr. Yuan’s interest in goal-oriented design and low-loss broadband solutions reflects her vision of creating practical, scalable, and efficient solutions for next-generation communication systems . Her active engagement in provincial and international projects and multiple journal publications demonstrates her strong commitment to advancing the frontiers of communication science and engineering .

Award and Honor

Dr. Aixia Yuan has earned recognition for her outstanding contributions in research and teaching . Her course, “Communication Principles”, was honored as an “Excellent Course”, highlighting her commitment to academic excellence and innovative pedagogy . She has successfully completed five competitive research projects and contributed to provincial education and science initiatives at both local and national levels . Her groundbreaking research on negative group delay circuits has been widely recognized in international journals and conferences, showcasing her as a rising scholar in communication engineering . Additionally, Dr. Yuan has filed three patents, emphasizing her ability to transform research into practical, innovative solutions . Her impactful publication, “A Novel Multifunctional Negative Group Delay Circuit…” indexed in WOS, has been cited internationally, strengthening her academic reputation . These accomplishments reflect her dedication to advancing communication technologies while inspiring students and peers through excellence in research and teaching .

Research Skill

Dr. Aixia Yuan possesses a diverse skill set in advanced communication systems and circuit design . Her expertise includes designing negative group delay circuits, lumped parameter passive filters, and RFID-based wireless communication systems . She has hands-on experience in theoretical modeling, equation derivation, simulation, and experimental validation . Dr. Yuan is adept at using simulation tools and analytical methods to optimize circuit design for broadband characteristics and low-loss performance . She has successfully authored  publications and filed three patents, demonstrating strong research writing, innovation, and problem-solving skills . Additionally, her experience in provincial projects and industry consultancy highlights her ability to collaborate across academia and industry . Dr. Yuan’s strengths also include mentorship, teaching, and curriculum development, proven through her award-winning course on Communication Principles . Altogether, her research skills combine technical innovation, scientific rigor, and educational excellence, positioning her as a leader in communication science .

Publication Top Note

Title: A Low-Loss Circuit with High-Pass Low-Pass Broadband Flat Negative Group Delay Characteristics
Authors: Enze Shi, Aixia Yuan, Junzheng Liu, Niannan Chang, Xinqi Guo
Journal: Chips (MDPI)
Year: 2025

Conclusion

Dr. Aixia Yuan has demonstrated remarkable dedication to advancing the fields of communication systems and radio frequency technology . With a Ph.D. in Communication and Information Systems , her academic contributions include over  research papers,  patents, and several impactful projects that have advanced understanding in negative group delay circuits, RFID, and wireless communication. Her published works, such as the  Chips article “A Low-Loss Circuit with High-Pass Low-Pass Broadband Flat Negative Group Delay Characteristics  reflect her commitment to high-quality, innovative, and practical research. Through her teaching at Dalian Polytechnic University, where she has also been recognized for excellence in course delivery , she continues to inspire the next generation of engineers and researchers. Her research bridges theoretical innovation with real-world application, enhancing the future of wireless communication and circuit design. Dr. Yuan’s outstanding achievements, integrity, and community impact make her a deserving candidate for the Best Researcher Award .