Helen Snethemba Ndlovu | Machine Learnings | Best Researcher Award

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Dr. Helen Snethemba Ndlovu | Machine Learnings | Best Researcher Award

Doctoral Researcher at University of KwaZulu-Natal | South Africa

Dr. Helen Snethemba Ndlovu is a dynamic and interdisciplinary researcher from KwaZulu-Natal, South Africa, specializing in AI-driven environmental monitoring, GIS, remote sensing, and climate resilience. She applies cutting-edge geospatial technologies, including UAV-based thermal and multispectral sensing, to support precision agriculture, biodiversity conservation, ecosystem management, and sustainable resource use. Helen has extensive experience in environmental research, community engagement, and data-driven decision-making, contributing to both academic and policy-oriented initiatives.

Professional Profile:

Education: 

Dr. Helen Snethemba holds a Doctor of Philosophy (PhD) in Environmental Science from the University of KwaZulu-Natal, where her research focused on using UAV thermal and multispectral remote sensing to assess crop water status in neglected and underutilized taro crops within smallholder farming systems. She earned a Master of Science in Environmental Science at the same institution, with research on high-resolution UAV imagery to monitor leaf moisture in smallholder maize farms. She also completed a Bachelor of Science (Honours) in Environmental Science, with distinction in Analytical GIS, and a Bachelor of Science in Environmental Science, graduating with merit for her ecology research.

Experience:

Dr. Helen Snethemba currently serves as an Ad Hoc Lecturer at the University of KwaZulu-Natal, delivering modules on Analytical GIS, Advanced Spatial Modelling, and GIS & Remote Sensing, while mentoring postgraduate students. She has previously worked as a Junior Scientist at the Institute of Natural Resources, conducting water quality assessments, developing citizen science protocols for macroplastic monitoring, and designing geospatial tools for resource management. Helen has held positions as an Environmental Field Officer with Amanzi Ethu Nobuntu NPC, a Research Assistant at the Agricultural Research Council, and a Teaching Assistant and Environmental Management Tutor at the University of KwaZulu-Natal, contributing to field-based research, GIS and remote sensing instruction, and community-based environmental projects.

Research Inteest:

Dr. Helen Snethemba’s research focuses on AI-driven environmental monitoring, UAV-based remote sensing, geospatial modelling, and climate resilience. Her interests include precision agriculture, crop water management, biodiversity and ecosystem conservation, invasive species detection, sustainable resource management, and data-driven decision-making. She leverages machine learning, big data analytics, and cloud computing platforms to process and interpret satellite and UAV imagery, contributing to evidence-based policy development and sustainable environmental solutions.

Publications Top Noted:

  1. A comparative estimation of maize leaf water content using machine learning techniques and unmanned aerial vehicle (UAV)-based proximal and remotely sensed data – Year: 2021 | Citations: 86

  2. A systematic review on the application of UAV-based thermal remote sensing for assessing and monitoring crop water status in crop farming systems – Year: 2024 | Citations: 15

  3. Detecting and mapping the spatial distribution of Chromoleana odorata invasions in communal areas of South Africa using Sentinel-2 multispectral remotely sensed data – Year: 2022 | Citations: 13

  4. Mapping the Eucalyptus spp. woodlots in communal areas of Southern Africa using Sentinel-2 Multi-Spectral Imager data for hydrological applications – Year: 2021 | Citations: 13

  5. Use of unmanned aerial vehicle-derived multi-spectral data for the early detection of multi-temporal maize leaf equivalent water thickness and fuel moisture content – Year: 2024 | Citations: 5

Conclusion:

Dr. Helen Snethemba Ndlovu exemplifies excellence in environmental science, AI applications, and geospatial research. Her innovative work on UAV-based monitoring, precision agriculture, and ecosystem management contributes significantly to climate resilience and sustainable resource use. By combining cutting-edge technology with community and policy engagement, she bridges research and real-world application. Her dedication to mentorship, research innovation, and interdisciplinary collaboration positions her as a leading figure in her field. Recognition through the Global Network & Technology Excellence Awards highlights her outstanding contributions and commitment to advancing sustainable environmental solutions.

Esther Magondu | Agri-Tech Apps | Best Researcher Award

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Dr. Esther Magondu | Agri-Tech Apps | Best Researcher Award

Dr. Esther Magondu is a Kenyan research scientist specializing in sustainable aquatic food systems and integrated marine aquaculture. She has extensive experience in stakeholder engagement, research management, and implementation of ISO standards, with a focus on improving aquaculture productivity and promoting climate-smart fisheries in East Africa.

Professional Profile:

Education: 

Dr. Esther Magondu holds a PhD in Fisheries and Aquaculture from Pwani University, a Master of Science in Aquaculture and Marine Resources Management from Wageningen University, The Netherlands, and a Bachelor of Science in Fisheries and Aquatic Sciences from Moi University, Kenya. Her early education includes the Kenya Certificate of Secondary Education from Karima Girls High School. Her doctoral research focused on Integrated Multitrophic Aquaculture (IMTA) systems, emphasizing sustainable co-culture of marine species.

Experience:

Dr. Esther Magondu Wairimu Magondu currently serves as a Scientist in Aquatic Farming Practices at WorldFish. She previously worked at the Kenya Marine and Fisheries Research Institute (KMFRI), holding roles from Research Scientist to Senior Research Scientist. In these positions, she conducted cutting-edge research on marine aquaculture systems, supervised multidisciplinary research teams, coordinated donor-funded projects, and mentored both undergraduate and postgraduate students. She has also served as a Centre Director at KMFRI Mombasa and as a part-time lecturer at Nairobi University. Her work emphasizes innovation in aquaculture, stakeholder engagement, and sustainable blue economy practices.

Research Inteest:

  • Integrated Multitrophic Aquaculture (IMTA): Optimizing co-culture of fish, bivalves, and sea cucumbers for increased productivity.

  • Marine and Coastal Aquaculture: Sustainable fish and shrimp production.

  • Aquaculture Nutrition: Development of locally formulated feed for improved fish growth.

  • Climate-Smart Fisheries: Adoption of resilient aquaculture technologies to improve food security.

  • Blue Economy Development: Community engagement and innovative aquaculture solutions for socio-economic benefits.

Publications Top Noted:

  1. Societal and environmental impacts of seaweed farming in relation to rural development: The case of Kibuyuni village, south coast, Kenya, Year: 2020 | 46 citations.

  2. Effect of C/N ratio levels and stocking density of Labeo victorianus on pond environmental quality using maize flour as a carbon source, Year: 2013 | 42 citations.

  3. Evaluation of sodium chloride (NaCl) for potential prophylactic treatment and its short-term toxicity to African catfish Clarias gariepinus yolk-sac and swim-up fry, Year: 2011 | 29 citations.

  4. Toward integration of sea cucumber and cockles with culture of shrimps in earthen ponds in Kenya, Year: 2022 | 14 citations.

  5. Life cycle responses of the midge of Chironomus species to sugarcane and paper pulp effluents exposure, Year: 2016 | 12 citations.

Conclusion:

Dr. Esther Magondu exemplifies excellence in aquaculture research and sustainable blue economy development. Her innovative approaches to IMTA, climate-smart fisheries, and community-driven solutions have significantly advanced sustainable aquatic food systems in East Africa. She effectively bridges scientific research, policy, and practice, creating meaningful societal and environmental impacts. Her dedication to mentoring the next generation of researchers and engaging stakeholders reflects leadership and vision in her field. Recognition through the Global Network & Technology Excellence Awards underscores her outstanding contributions and commitment to sustainable innovation.

Abdelaziz Saidi | Renewable Energy | Best Researcher Award

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Assoc. Prof. Dr. Abdelaziz Saidi | Renewable Energy | Best Researcher Award

Senior Transmission Engineering Expert at Saudi Electricity Company | Saudi Arabia

Dr. Abdelaziz Salah Saidi is a Senior Transmission Engineering Expert at the Grid Studies Department, National Grid SA, where he specializes in system stability and resilience studies with renewable energy integration. He previously served as Associate Professor of Electrical Engineering at King Khalid University, Saudi Arabia, where he supervised numerous undergraduate, master’s, and Ph.D. projects. He is a permanent member of the Université de Tunis El Manar – Laboratoire des Systèmes Electriques, and an active member of the IEEE Power & Energy Society. Dr. Saidi has published over 90 research papers in indexed journals and international conferences and holds a patent on multifunctional inverters for solar water pumping systems.

Professional Profile:

Education: 

Dr. Abdelaziz Saidi earned his Ph.D. in Electrical Engineering from the National Engineering School of Tunis (ENIT), University of Tunis – El Manar, with a dissertation on Dynamic Stability of the Power System Integrating Wind Farms: Bifurcations Analysis under the supervision of Profs. Mohamed Elleuch and Khadija Ben Kilani. He obtained his M.Sc. in Electrical Engineering from the same institution, focusing on Voltage Stability of the Power System by Modal Analysis. He also completed his B.Sc. in Electrical Systems at the University of Tunis – El Manar.

Experience:

Dr. Abdelaziz Saidi began his career as a teacher in Tunisia before joining academia as an Assistant Professor at the Higher Institute of Computer Science of Kef. He later moved to Saudi Arabia, serving at King Khalid University as Assistant Professor and then Associate Professor, focusing on power system planning, stability, operation and renewable energy integration. Alongside his teaching, he acted as Consultant for the Energy and Water Resources Research Unit, Member of the Renewable Energy Committee, and Researcher at the Center for Artificial Intelligence. Since September, he has been a Senior Transmission Engineering Expert at National Grid SA, working on grid stability and resilience studies with renewable energy sources.

Research Inteest:

Dr. Abdelaziz Saidi ’s research covers a broad spectrum of power system engineering. His primary interests include power system stability and control (dynamic, transient, and voltage stability), renewable energy integration (solar PV, wind, hybrid microgrids, and green hydrogen), and artificial intelligence applications in power and energy systems (forecasting, optimization, and intelligent control). He has also contributed to studies on grid-connected photovoltaic plants, smart grid protection systems, distributed generation, and power quality issues. His work bridges theoretical modeling, simulation, and practical applications with industry partners.

Publications Top Noted:

  1. Efficient Medical Diagnosis of Human Heart Diseases using Machine Learning Techniques with and without GridSearchCV, Year: 2022 | Citations: 269.

  2. Impact of Grid-Tied Photovoltaic Systems on Voltage Stability of Tunisian Distribution Networks Using Dynamic Reactive Power Control, Year: 2022 | Citations: 79

  3. Improvement of Techno-Economic Optimal Sizing of a Hybrid Off-Grid Microgrid System, Year: 2021, Citations: 76.

  4. Powering up Microgrids: A Comprehensive Review of Innovative and Intelligent Protection Approaches for Enhanced Reliability, Year: 2023 | Citations: 57.

  5. Impact of Large Photovoltaic Power Penetration on the Voltage Regulation and Dynamic Performance of the Tunisian Power System, Year: 2020 | Citations: 52.

Conclusion:

Dr. Abdelaziz Saidi exemplifies the qualities of a leading researcher in renewable energy and power systems. His dedication to advancing knowledge, combined with practical innovations and academic mentorship, has created a lasting impact in both industry and academia. By continuously integrating cutting-edge research with real-world applications, he strengthens the resilience and sustainability of modern energy networks. His contributions reflect a commitment to excellence, innovation, and global collaboration. Recognition through the Global Network & Technology Excellence Awards is a testament to his outstanding achievements and leadership in the field.

Sana Said | Renewable Energy | Women Researcher Award

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Dr. Sana Said | Renewable Energy | Women Researcher Award

Sana Said at Higher School of Science and Technology of Hammam Sousse | Tunisia

Dr. Sana Said is an accomplished Doctor of Engineering Physics specializing in solar energy systems. With strong expertise in experimental analysis, numerical modeling, and design of renewable energy technologies, she brings a unique blend of research excellence and teaching passion. Currently engaged in postdoctoral research, Dr. Sana fosters both scholarly inquiry and student mentorship in physical sciences.

Professional Profile:

Education: 

Dr. Said earned her Ph.D. in Engineering Physics from ESSTHS, where her dissertation focused on enhancing the performance of vacuum tube solar collectors integrated with phase-change materials. Prior to this, she completed a Research Master’s in Materials Physics and Energy and a Bachelor’s in General Physics at ESSTHS, as well as her high school diploma in experimental sciences.

Experience:

Dr. Said served as a Research Intern in the Laboratory of Metabolic Biophysics and Applied Occupational and Environmental Toxicology at the Faculty of Medicine. Previously, she conducted research at the Laboratory of Energy and Materials (LABEM), ESSTHS. She also gained teaching experience as a primary school teacher and continues to provide personalized tutoring across educational levels. she completed practical industrial training at STIP in Tunisia.

Research Interest:

Dr. Said’s research centers on solar thermal energy systems, particularly evacuated tube collectors enhanced with phase-change materials. She excels in both experimental testing and numerical modeling to quantify thermal performance, aiming to improve sustainable energy solutions through innovative heat transfer designs.

Publications Top Noted:

Optimizing Thermal Performance of Evacuated Tube Solar Collectors with Cascaded Phase Change Materials,

  • Year: 2025

Performance Enhancement of Evacuated U-Tube Solar Collector Integrated with Phase Change Material,

  • Year: 2024 | Cited: 10

An Experimental Assessment on the Performance of Different Evacuated Tube Solar Collector Configurations,

  • Year: 2024

New Evacuated Tube Solar Collector with Parabolic Trough Collector and Helical Coil Heat Exchanger for Domestic Water Heating,

  • Year: 2023 | Cited: 20

An Experimental Comparison of the Performance of Various Evacuated Tube Solar Collector Designs,

  • Year: 2023 | Cited: 22

Conclusion:

Dr. Sana Said’s exceptional contributions to solar energy research and her innovative approach to thermal system enhancement position her as a deserving recipient of the Women Researcher Award. Her integration of phase-change materials into solar collectors demonstrates a forward-thinking approach to renewable energy efficiency. With her blend of technical expertise, research productivity, and dedication to mentorship, she continues to make a meaningful impact in academia and the renewable energy sector. With broader international collaboration and industry partnerships, Dr. Said is poised to further elevate her influence in shaping sustainable energy futures.

Prof. Goran Strbac | Renewable Energy | Best Researcher Award

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Prof. Goran Strbac | Renewable Energy | Best Researcher Award

Prof. Goran Strbac | Renewable Energy – Imperial College London, United Kingdom

Goran Štrbac is a distinguished academic renowned for his significant contributions to the field of energy systems, particularly in renewable energy integration, smart grids, and energy management. With an illustrious career marked by groundbreaking research and extensive collaboration with global experts, he has shaped the understanding of decentralized energy systems. His work not only addresses theoretical aspects but also offers practical solutions for sustainable energy management, reflecting his commitment to advancing global energy security and efficiency.

Profile:

Scopus

Education:

Goran Štrbac pursued his academic journey with a focus on electrical engineering and energy systems. He obtained his undergraduate degree from a prestigious institution, followed by advanced studies leading to a Ph.D. His academic foundation was built upon rigorous training in energy systems modeling, power electronics, and sustainability, equipping him with the expertise needed to tackle complex energy challenges.

Experience:

Since completing his Ph.D., Goran Štrbac has held esteemed academic positions, including his current role at Imperial College London. His career has been characterized by a blend of teaching, research, and leadership roles, where he has influenced both academic curricula and cutting-edge research projects. His involvement in various international collaborations has broadened his impact, fostering innovations in energy technologies and policy frameworks.

Research Interests:

Goran Štrbac’s research interests are centered around energy systems optimization, renewable energy integration, smart grid technologies, and decentralized energy management. His work delves into advanced modeling techniques, energy storage solutions, and the economic evaluation of energy systems. He is particularly interested in the role of artificial intelligence and machine learning in enhancing energy efficiency and grid resilience.

Awards:

Goran Štrbac’s contributions have been recognized through numerous awards and honors. Notably, he has received prestigious accolades for his outstanding research in energy systems, reflecting his role as a thought leader in the field. His work has not only advanced academic knowledge but also influenced energy policy and technological development worldwide.

Publications 📚:

  1. “Federated Reinforcement Learning for Decentralized Peer-to-Peer Energy Trading” (2025)
  2. “Techno-Economic Evaluation of Seasonal Energy Storage in the Electric-Hydrogen-Heating Energy System” (2025)
  3. “Generation and Transmission Expansion Planning Incorporating Economically Feasible Heterogeneous Demand-Side Resources” (2025)
  4. “Co-optimizing Frequency-Containment Services from Zero-Carbon Sources in Electricity Grids Dominated by Renewable Energy Sources” (2025)
  5. “The Impact of Hydrogen on Decarbonization and Resilience in Integrated Energy Systems” (2025)
  6. “Modeling Seasonal Thermal Storage Dynamics in the Year-Round Scheduling of Renewable Energy Systems” (2025)
  7. “A Systematic Review of Modelling Methods for Studying the Integration of Hydrogen into Energy Systems” (2025)

Conclusion:

Goran Štrbac’s exceptional academic journey, innovative research, and impactful contributions to energy systems position him as a standout candidate for the Best Researcher Award. His work has significantly advanced the understanding and application of sustainable energy solutions, fostering a more resilient and efficient global energy landscape. Recognizing his achievements with this prestigious award would not only honor his dedication and expertise but also inspire future generations of researchers to continue pushing the boundaries of energy innovation.

Prof. Tian Tian | Renewable Energy | Best Researcher Award

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Prof. Tian Tian | Renewable Energy | Best Researcher Award

Prof. Tian Tian, Yangzhou University, China

Dr. Teng Huang is a distinguished researcher at Guangzhou University, China, specializing in Blockchain, Smart Contracts, and AI-driven Medical Image Segmentation. His work integrates Comprehensive Transformer Integration Networks (CTIN) to enhance medical diagnostics. With numerous high-impact publications in IEEE and other top journals, Dr. Teng Huang has contributed significantly to breast lesion detection, brain tumor segmentation, and privacy-preserving AI. His expertise extends to remote sensing, recommendation systems, and adversarial learning. Dr. Teng Huang’s innovative research bridges healthcare, AI, and blockchain, establishing him as a leader in computational intelligence and medical AI applications.

🌍 Professional Profile:

Orcid

🏆 Suitability for Best Researcher Award 

Dr. Teng Huang’s groundbreaking contributions in medical imaging, blockchain security, and AI-driven diagnostics make him a strong candidate for the Best Researcher Award. His work on transformer-based segmentation models, privacy-preserving AI, and federated learning has significantly advanced both healthcare and secure computing. With publications in prestigious journals like IEEE Transactions on Medical Imaging and IEEE Journal of Biomedical and Health Informatics, Dr. Teng Huang has demonstrated exceptional research impact. His multi-disciplinary expertise, innovative problem-solving, and commitment to scientific excellence set him apart as a leader in AI-driven healthcare solutions and blockchain applications.

📚 Education

Dr. Teng Huang holds a Ph.D. in Computer Science, specializing in Artificial Intelligence, Blockchain, and Medical Image Processing. His academic journey includes extensive research on deep learning architectures for healthcare and secure computing. His doctoral studies focused on optimizing transformer-based AI models for medical applications, particularly in breast cancer detection and brain tumor segmentation. He has also worked on privacy-preserving federated learning for secure data sharing in healthcare. Dr. Teng Huang’s educational background has equipped him with expertise in machine learning, optimization, and blockchain security, paving the way for his innovative contributions to AI-driven healthcare solutions.

👨‍🏫 Experience 

Dr. Teng Huang is a faculty member and researcher at Guangzhou University, China, where he leads projects on blockchain security, AI-driven diagnostics, and remote sensing applications. He has collaborated with international experts in biomedical image processing, adversarial AI, and recommendation systems. His work in privacy-preserving federated learning has been instrumental in enhancing data security in medical AI applications. With experience in designing intelligent models for 3D medical segmentation, ultrasound imaging, and smart contracts, Dr. Teng Huang continues to push the boundaries of AI research and secure computing, making significant contributions to both academia and industry.

🏅 Awards & Honors 

Dr. Teng Huang has received multiple Best Paper Awards at IEEE international conferences for his pioneering work in AI-driven medical imaging and blockchain security. He has been recognized as a Top Researcher in AI for Healthcare by leading institutions. His contributions to transformer-based medical diagnostics and federated learning security have earned him prestigious grants and funding. He is also a recipient of the Outstanding Young Researcher Award for his work in privacy-preserving AI and adversarial learning techniques. His innovative AI-driven solutions for medical imaging and remote sensing have positioned him as a global leader in computational healthcare research.

🔬 Research Focus 

Dr. Teng Huang specializes in Blockchain, Smart Contracts, Medical Image Processing, and AI-driven Healthcare Innovations. His research involves Comprehensive Transformer Integration Networks (CTIN) for advanced medical image segmentation in breast lesion and brain tumor detection. He is also working on privacy-preserving federated learning for secure medical data exchange. His expertise extends to adversarial learning, recommender systems, and remote sensing AI applications. By integrating deep learning, blockchain security, and smart contracts, Dr. Teng Huang is revolutionizing secure AI-driven diagnostics. His work significantly impacts healthcare, cybersecurity, and AI-based automation for next-generation medical solutions.

📊 Publication Top Notes:

  1. Emission and Absorption Spectroscopic Techniques for Characterizing Perovskite Solar Cells

    • Year: 2024

  2. Advancing Perspectives on Large-Area Perovskite Luminescent Films

    • Year: 2024

  3. Reducing Lead Toxicity of Perovskite Solar Cells with a Built-in Supramolecular Complex

    • Year: 2023

  1. Unlocking Multi-Photon Excited Luminescence in Pyrazolate Trinuclear Gold Clusters for Dynamic Cell Imaging

    • Year: 2024

  2. Durable Organic Nonlinear Optical Membranes for Thermotolerant Lightings and In Vivo Bioimaging

    • Year: 2023

 

 

Dr. Chunyan Zang | Renewable Energy | Best Researcher Award

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Dr. Chunyan Zang | Renewable Energy | Best Researcher Award

Dr. Chunyan Zang, Huazhong University of Science and Technology, China

Dr. Chunyan Zang is a distinguished electrical engineer with over 24 years of experience in power systems, renewable energy, and AI-driven fault detection. As a Lecturer at Huazhong University of Science & Technology and a Guest Scholar at Lund University, Sweden, she has led groundbreaking research on smart grids, state evaluation, and power system optimization. She holds a Ph.D. in Electrical Engineering and has contributed to multiple high-impact projects, generating over 1 billion yuan in economic benefits. An active IEEE senior member, she has earned prestigious awards for her contributions to electrical engineering and scientific innovation.

🌍 Professional Profile:

Scopus

🏆 Suitability for Best Researcher Award

Dr. Chunyan Zang is an exemplary candidate for the Best Researcher Award due to her extensive contributions to electrical engineering, particularly in power transmission, smart grids, and renewable energy integration. Her research has significantly advanced fault detection and predictive maintenance, optimizing power systems’ efficiency and reliability. With numerous patents and over two decades of impactful research, she has pioneered innovative approaches using AI and data-driven technologies. Her leadership in major industry projects, academic mentoring, and recognition through prestigious awards further establish her as a leading researcher in the field.

🎓 Education

Dr. Chunyan Zang has an outstanding academic background, holding multiple degrees from Huazhong University of Science & Technology, China. She earned her Ph.D. in Electrical Engineering (2006), specializing in power system optimization and AI applications. She also holds an M.Sc. in High Voltage and Insulation Technology (2003), a B.Sc. in Electric Power Systems and Automation (2000), and a Minor in Computer Science (2000). Her education has provided her with a strong interdisciplinary foundation in electrical engineering, power systems, and computational methodologies, enabling her to drive cutting-edge innovations in the field.

💼 Professional Experience

Dr. Chunyan Zang has served as a Lecturer at Huazhong University of Science & Technology since 2006, teaching and mentoring undergraduate and postgraduate students. She has led numerous state-funded research projects on power generation, transmission, and distribution, contributing to advancements in smart grids and renewable energy. Currently, she is a Guest Scholar at Lund University, Sweden, researching 5G and 6G applications in strong electromagnetic environments. Her expertise in AI, fault detection, and power system diagnostics has been instrumental in shaping modern energy infrastructures and intelligent monitoring systems.

🏅 Awards & Honors

Dr. Chunyan Zang has been recognized with numerous prestigious awards, including the 2023 Prize for Outstanding Female Scientist Award and the Outstanding Volunteer Award from IEEE PES China. Her contributions have been honored with multiple Scientific and Technological Progress Awards, including in Hubei Province (2022), Shanxi Province (2021), and State Grid Shanxi Electric Power Company (2021). Additionally, she secured the First Prize of Science and Technology Progress Award from Tianjin Electric Power Corporation (2018). Her accolades reflect her groundbreaking research and leadership in electrical engineering.

🔍 Research Focus

Dr. Chunyan Zang’s research primarily focuses on renewable energy, AI-driven power system diagnostics, fault detection, and smart grids. She has pioneered new methodologies in green power electrolytic hydrogen technology, integrating sustainable energy solutions into modern power networks. Her work on state evaluation, risk assessment, and predictive maintenance has enhanced the reliability and efficiency of power transmission. She also explores wireless sensor networks for power grid monitoring, applying machine learning and data mining to optimize power infrastructure performance.

📖 Publication Top Notes 

  1. Comprehensive Evaluation of Proton Exchange Membrane Fuel Cell-Based Power System Fueled with Ammonia Decomposed Hydrogen
    • Year: 2025
  1. A New Popular Transition Metal-Based Catalyst: SmMn₂O₅ Mullite-Type Oxide
    • Year: 2024
    • Citations: 5
  2. Metallic Co with Reactive Element Oxide Composite Coatings for Solid Oxide Fuel Cell Interconnect Applications
    • Year: 2023
    • Citations: 2
  1. Research Progress on Metal Particle Issues Inside Gas-Insulated Lines (GIL)
    • Year: 2024
  2. Intelligent Diagnosis Model of Mechanical Fault for Power Transformer Based on SVM Algorithm
    • Year: 2023
    • Citations: 8

 

Mr. Devesh Chand | Renewable Energy | Best Researcher Award

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Mr. Devesh Chand | Renewable Energy | Best Researcher Award

Mr. Devesh Chand, Fiji National University, Fiji

Mr. Devesh Chand is a dedicated educator and researcher in the fields of Mathematics, Physics, and Renewable Energy. He currently serves as a secondary school teacher under the Ministry of Education, Fiji, teaching Mathematics and Physics at Xavier College, Ba. With a strong academic foundation from Fiji National University, his expertise lies in problem-solving, analytical thinking, and scientific exploration. Throughout his academic journey, he has demonstrated exceptional skills in Mathematics, earning multiple awards for academic excellence. His research focuses on renewable energy solutions, aiming to develop sustainable and innovative energy technologies. Beyond academics, Mr. Chand has shown leadership through environmental initiatives and extracurricular activities. His commitment to teaching, research, and community development makes him a well-rounded professional, striving for excellence in both education and applied sciences.

Professional Profile

Orcid

🏆 Suitability for Best Researcher Award 

Mr. Devesh Chand is a promising researcher in Renewable Energy, combining his strong academic background with innovative thinking to address modern energy challenges. His exceptional performance in Mathematics and Physics, coupled with his passion for scientific discovery, makes him a suitable candidate for the Best Researcher Award. His contributions to academia as an educator have inspired students while his research in sustainable energy solutions has the potential to drive impactful change. Mr. Chand’s dedication to excellence is evident through his numerous academic achievements, awards, and involvement in environmental initiatives. His ability to integrate theoretical knowledge with practical applications sets him apart as a researcher who can contribute meaningfully to the field of renewable energy. With a strong foundation in research methodology, critical thinking, and scientific inquiry, he exemplifies the qualities of an outstanding researcher, making him a deserving nominee for this prestigious recognition.

🎓 Education 

Mr. Devesh Chand holds a Bachelor of Education in Secondary Teaching (Mathematics & Physics) from Fiji National University, College of Humanities and Education. His academic journey started at Arya Kanya Pathshala, Yalalevu, Ba, where he completed his primary education from 2008 to 2016. He later pursued his secondary education at Kamil Muslim College, Yalalevu, Ba, from 2017 to 2022, excelling in Mathematics and Technical Drawing. His outstanding academic performance earned him multiple excellence awards, showcasing his strong analytical and problem-solving abilities. Currently, he is advancing his expertise in renewable energy through independent research. His academic background has equipped him with a strong understanding of complex mathematical and physical concepts, which he applies in both his teaching and research endeavors. Mr. Chand’s continuous pursuit of knowledge and passion for STEM education contribute significantly to his professional growth and research contributions in renewable energy.

💼 Experience

Mr. Devesh Chand is currently a Secondary School Teacher at Xavier College, Ba, under the Ministry of Education, Fiji, where he teaches Mathematics and Physics. His expertise in analytical problem-solving and scientific methodology allows him to effectively engage students in STEM subjects. He is committed to fostering critical thinking and innovation in the classroom, preparing students for higher education and research. In addition to his teaching role, he has been actively involved in educational research and curriculum development. His previous experience at Fiji National University, Suva, has further strengthened his foundation in academic instruction and research methodologies. With a keen interest in renewable energy, he integrates real-world applications into his teaching, inspiring students to explore sustainable solutions. Mr. Chand’s dedication to education, research, and environmental awareness positions him as an impactful educator and a rising researcher in the field of energy sustainability.

🏅 Awards and Honors

Mr. Devesh Chand has received several prestigious awards in recognition of his academic excellence and leadership. His achievements include:

  • Best Student in Mathematics (2021) at Kamil Muslim College 🏆
  • Academic Excellence Award for 100% in Mathematics (FY13CE 2021) 🥇
  • Academic Excellence Award for 98% in Mathematics (FY12CE 2020) 📊
  • Academic Excellence Award for 97% in Technical Drawing (FY12CE 2020) 🏗️
  • Best Environmental Officer Award (2019) at Kamil Muslim College 🌍
  • Bronze Standard Award in the Duke of Edinburgh’s International Award 🏅

These accolades reflect his dedication to academic achievement, problem-solving, and environmental consciousness. His exceptional performance in STEM fields, coupled with his leadership skills, establishes him as a distinguished scholar and educator. Mr. Chand’s commitment to excellence continues to drive his research endeavors, making him a deserving candidate for recognition in research and academia.

🔬 Research Focus 

Mr. Devesh Chand’s research is centered on Renewable Energy, with a particular focus on sustainable and efficient energy solutions. His work aims to develop innovative approaches to harness renewable energy sources, including solar, wind, and hydroelectric power, to address global energy challenges. His research explores energy optimization techniques, investigating how emerging technologies can enhance energy efficiency while reducing environmental impact. Through his strong background in Physics and Mathematics, Mr. Chand applies analytical models to study energy conversion, storage, and distribution systems. His interest in clean energy solutions aligns with the global push for sustainability, and he is dedicated to contributing knowledge that will support energy security in the future. By integrating theoretical research with practical applications, he aspires to develop cutting-edge solutions that improve the accessibility and reliability of renewable energy. His research has significant potential to impact sustainable development and environmental conservation.

Publication Top Notes:

Title: Beyond Energy Access: How Renewable Energy Fosters Resilience in Island Communities
  • Publication Date: January 27, 2025

 

Dr. Milada Pezo | Materials | Best Researcher Award

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Dr. Milada Pezo | Materials | Best Researcher Award

Dr. Milada Pezo, Institute of Nuclear Sciences VINČA, Serbia

Dr. Milada Pezo is a distinguished Research Professor at the Institute of Nuclear Sciences VINČA, specializing in mechanical engineering with a focus on energy systems. She earned her BSc, MSc, and PhD from the University of Belgrade, Faculty of Mechanical Engineering. Dr. Pezo’s research covers thermal-hydraulics, energy efficiency, renewable energy sources, and computational fluid dynamics (CFD). A principal investigator for the Serbian-Slovenian bilateral project (2020-2022), she is renowned for advancing numerical modeling of multiphase flows and heat transfer. With over 100 peer-reviewed publications, Dr. Pezo is a leading expert in her field and serves as a subject editor for the prestigious Thermal Science journal. Her work plays a vital role in enhancing industrial applications, process industry optimization, and promoting sustainable energy solutions.

Professional Profile

scopus

orcid

google scholar

Suitability for the Best Researcher Award

Dr. Milada Pezo is a highly qualified candidate for the Best Researcher Award due to her extensive academic achievements, leadership in international research projects, and significant contributions to the fields of thermal-hydraulics, computational multifluid dynamics, and energy efficiency.

🎓    Education 

Dr. Milada Pezo’s academic journey in Mechanical Engineering began at the University of Belgrade, Faculty of Mechanical Engineering. She completed her BSc, MSc, and PhD degrees with a specialized focus on Automatic Control and Thermal Power Engineering. Her education is deeply rooted in interdisciplinary studies, blending mechanical engineering principles with advanced energy systems. Throughout her academic pursuits, she developed expertise in thermal-hydraulics, computational multifluid dynamics, and energy efficiency. Her PhD thesis explored mathematical modeling of heat and mass transfer, contributing to the development of innovative engineering solutions in multiphase flow and renewable energy integration. Dr. Pezo’s academic foundation has been instrumental in driving her career forward, positioning her as an expert in both theoretical and practical applications of mechanical engineering, with a focus on sustainability and renewable energy systems.

💼     Experience

Dr. Milada Pezo boasts extensive experience in mechanical engineering, specifically within the energy sector. She has been a Research Professor at the Institute of Nuclear Sciences VINČA, where she has led pivotal research initiatives in thermal-hydraulics and computational fluid dynamics (CFD). As principal investigator of the Serbian-Slovenian project “Development of Advanced Numerical Modelling Approaches of Multiphase Flows and Heat Transfer for Industrial Application” (2020-2022), she successfully bridged academia and industry, enhancing practical solutions for energy efficiency. Her experience extends beyond academia; she collaborates with industrial partners to optimize energy systems and renewable energy sources. Dr. Pezo is also a subject editor for Thermal Science and regularly contributes her expertise to peer-reviewed publications. Her vast knowledge in thermal-hydraulics, renewable energy integration, and industrial processes solidifies her role as a key influencer in the mechanical engineering field.

🏅 Awards and Honors 

Dr. Milada Pezo has been recognized with numerous awards and honors for her contributions to mechanical engineering, particularly in energy systems. As the principal investigator of the prestigious Serbian-Slovenian bilateral research project (2020-2022), she earned commendations for her innovative work on multiphase flow and heat transfer. Her involvement in the project led to industry-wide recognition, enhancing energy efficiency practices. Dr. Pezo has also been honored by various scientific communities for her editorial work at Thermal Science, where she oversees publications on computational fluid dynamics and heat and mass transfer. With over 100 peer-reviewed articles, Dr. Pezo’s contributions have received multiple citations and accolades from international conferences and journals. Her work in renewable energy, energy efficiency, and thermal-hydraulics has been instrumental in fostering sustainable engineering solutions, leading to numerous invitations to keynote at international forums and participate in expert panels.

🌍   Research Focus 

Dr. Milada Pezo’s research centers on thermal-hydraulics, energy efficiency, and renewable energy systems, utilizing advanced numerical modeling techniques. She specializes in computational fluid dynamics (CFD), with an emphasis on multiphase flow and heat transfer for industrial applications. Her groundbreaking work in granular transportation, mixing, and separation processes within the chemical and energy sectors has significantly impacted energy-efficient designs. A key area of her research is the development of sustainable solutions for renewable energy integration, optimizing heat and mass transfer in multiphase flow systems. Through her role as principal investigator in international collaborative projects, Dr. Pezo has driven innovations in energy-efficient technologies, including solar and wind power systems. Her research efforts also focus on mathematical modeling and simulation, aiming to enhance industrial applications and promote sustainability in energy production and consumption.

 📖 Publication Top Notes

  • Modified screw conveyor-mixers–Discrete element modeling approach
    • Citations: 85
  • DEM/CFD analysis of granular flow in static mixers
    • Citations: 65
  • Dynamical simulation of PV/Wind hybrid energy conversion system
    • Citations: 62
  • Discrete element model of particle transport and premixing action in modified screw conveyors
    • Citations: 50
  • Sustainability estimation of energy system options that use gas and renewable resources for domestic hot water production
    • Citations: 43

Assist. Prof. Dr. Nikos Loukeris | Philosophy | Best Researcher Award

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Assist. Prof. Dr. Nikos Loukeris | Philosophy | Best Researcher Award

Assist. Prof. Dr. Nikos Loukeris, University of West Attica & Princeton University, Greece

Nikolaos Loukeris is an accomplished academic and business leader, currently serving as an Assistant Professor of Finance & Shipping at the University of West Attica. Elected in October 2020, he has made significant contributions to academia as a Supervisor of Internships at Princeton University and as a Visiting Professor at the Hellenic Open University. Loukeris is also the Founder and Managing Director of ‘Loukeris N, Business Consultants – Accountants’ and ‘Lamda Engineers.’ He is a renowned speaker at international conferences, focusing on governance, shipping, and finance. His expertise encompasses the intersection of technology and finance, particularly in shipping operations. Nikolaos’s commitment to education and mentorship is reflected in his initiatives that connect students with industry executives, fostering practical insights into the business world. His dedication to advancing knowledge and promoting innovative practices in finance and shipping makes him a pivotal figure in the field.

Professional Profile

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Suitability Summary for Nikolaos Loukeris for the Best Researcher Award

Nikolaos Loukeris stands out as an exemplary candidate for the Best Researcher Award due to his extensive contributions to the fields of finance and shipping, both in academia and industry. His multifaceted role as an Assistant Professor at the University of West Attica, along with his positions as a visiting professor and managing director of two consultancy firms, demonstrates his commitment to both education and practical application of his research.

🎓 Education 

Nikolaos Loukeris holds a solid educational background in finance and shipping, which forms the foundation of his extensive professional career. He earned his undergraduate degree in Business Administration, followed by a master’s degree in Maritime Studies, specializing in shipping finance. This strong academic foundation equipped him with the skills necessary to navigate the complexities of the shipping industry and finance. He further enhanced his expertise by completing a Ph.D. in Finance, focusing on innovative methodologies for financial analysis in maritime contexts. Nikolaos’s educational journey reflects his dedication to understanding the nuances of both finance and shipping, which he integrates into his teaching and consultancy practices. Additionally, he has undertaken various professional development courses, ensuring he stays updated on the latest trends and advancements in the fields of finance and shipping. His commitment to lifelong learning empowers him to provide invaluable insights to his students and clients alike.

 💼 Experience 

Nikolaos Loukeris has a diverse and impressive professional background in finance and shipping. Currently, he serves as an Assistant Professor at the University of West Attica, where he teaches courses related to finance and shipping, guiding students toward academic and professional excellence. His role as a Supervisor of Internships at Princeton University exemplifies his dedication to providing students with real-world experiences. In addition, Nikolaos is a Visiting Professor at the Hellenic Open University, where he imparts knowledge in governance and shipping. As the Founder and Managing Director of ‘Loukeris N, Business Consultants – Accountants’ and ‘Lamda Engineers,’ he combines academic knowledge with practical application, assisting businesses in navigating financial challenges. His involvement in various conferences as a speaker and panelist showcases his expertise and thought leadership in the industry. With over a decade of experience, Nikolaos continues to make significant contributions to academia and the business world.

🏅Awards and Honors 

Nikolaos Loukeris has been recognized for his outstanding contributions to the fields of finance and shipping through numerous awards and honors. He has been a keynote speaker at the 6th International Conference on Business Economics and Finance in Suzhu, China, and has presented at prestigious events such as the IEEE Plenary Conference in Bern, Switzerland. His excellence in lecturing was acknowledged by students at the Athens University of Economics and Business, who rated him 4.32 out of 5 in the Computational Finance course. Nikolaos has also received a Research Paper Award at the IABPAD International Conference in Honolulu for his work on bankruptcy prediction using advanced hybrid models. Furthermore, he has played pivotal roles as a chairman and co-organizer for several symposiums and sessions on computational intelligence and finance, showcasing his commitment to advancing knowledge and fostering collaboration in these fields.

 🌍 Research Focus 

Nikolaos Loukeris’s research focus lies at the intersection of finance, shipping, and technology, with particular attention to the application of computational intelligence in financial decision-making and risk management. His work explores innovative methodologies for portfolio optimization, bankruptcy prediction, and the integration of artificial intelligence in shipping operations. By examining the impact of emerging technologies on traditional finance, Nikolaos aims to develop models that enhance decision-making processes in dynamic markets. His research also investigates the role of governance in shipping and finance, emphasizing the importance of strategic oversight in ensuring sustainable practices. Nikolaos actively participates in international conferences, sharing his findings and collaborating with fellow researchers to promote advancements in the field. His commitment to applying theoretical knowledge to practical scenarios drives his research agenda, positioning him as a thought leader in finance and shipping sectors.

  📖 publication Top Notes

A numerical evaluation of meta-heuristic techniques in portfolio optimisation
Cited by: 49
Corporate financial evaluation and bankruptcy prediction implementing artificial intelligence methods

Cited by: 33

An empirical evaluation of CAPM’s validity in the British stock exchange

Cited by: 26

Further Higher Moments in Portfolio Selection and A Priori Detection of Bankruptcy, Under Multi‐layer Perceptron Neural Networks, Hybrid Neuro‐genetic MLPs …

Cited by: 22

Radial basis functions networks to hybrid neuro-genetic RBFNs in financial evaluation of corporations

Cited by: 21