Saber Arabi Nowdeh | Renewable energy | Research Excellence Award

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Mr. Saber Arabi Nowdeh | Renewable energy | Research Excellence Award

Mr. Saber Arabi Nowdeh | Golestan vocational and technical training center, gorgan. | Iran

Mr. Saber Arabi Nowdeh is a highly impactful researcher in the field of renewable energy systems, with a strong focus on hybrid power generation, distributed energy planning, and optimization-based reliability enhancement for modern power grids. His research extensively explores the integration and optimal sizing of photovoltaic, wind, and fuel cell technologies to achieve reliable, cost-efficient, and sustainable standalone energy solutions, particularly in off-grid and future low-carbon infrastructures. He has developed and applied advanced meta-heuristic and hybrid optimization techniques, including ant lion optimization, fuzzy multi-objective decision methods, and hybrid meta-heuristic algorithms, to enhance system efficiency, improve power quality, reduce energy losses, and increase reliability indices such as LOEE and LOLE. His publications in well-recognized journals including Renewable Energy, Journal of Cleaner Production, Applied Soft Computing, and Environmental Technology & Innovation demonstrate both strong academic recognition and the practical relevance of his contributions. With several of his research articles achieving high citation counts, his work is widely acknowledged by the global scientific community and frequently used as a foundational reference in designing resilient renewable energy systems. His studies have also expanded knowledge in strategic allocation of distributed generation resources, addressing load interruption probability, and strengthening the reliability of smart distribution networks. Overall, his ongoing research continues to advance cutting-edge solutions for integrating clean energy sources into future power systems, supporting global sustainability goals and strengthening the scientific basis for innovative energy technologies.

Profile: ORCID | Google Scholar | ResearchGate

Featured Publications

Moghaddam, M. J. H., Kalam, A., Nowdeh, S. A., Ahmadi, A., & Babanezhad, M. (2019). Optimal sizing and energy management of stand-alone hybrid photovoltaic/wind system based on hydrogen storage considering LOEE and LOLE reliability indices using flower … Renewable Energy, 135, 1412–1434.

Jahannoosh, M., Nowdeh, S. A., Naderipour, A., Kamyab, H., & Davoudkhani, I. F. (2021). New hybrid meta-heuristic algorithm for reliable and cost-effective designing of photovoltaic/wind/fuel cell energy system considering load interruption probability. Journal of Cleaner Production, 278, 123406.

Nowdeh, S. A., Davoudkhani, I. F., Moghaddam, M. J. H., Najmi, E. S., & Abdelaziz, A. Y. (2019). Fuzzy multi-objective placement of renewable energy sources in distribution system with objective of loss reduction and reliability improvement using a novel hybrid method. Applied Soft Computing, 77, 761–779.

Hadidian-Moghaddam, M., Arabi-Nowdeh, S., Bigdeli, M., & Azizian, D. (2018). A multi-objective optimal sizing and siting of distributed generation using ant lion optimization technique. Ain Shams Engineering Journal, 9(4), 2101–2109.

Jafar-Nowdeh, A., Babanezhad, M., Arabi-Nowdeh, S., & Naderipour, A. (2020). Meta-heuristic matrix moth–flame algorithm for optimal reconfiguration of distribution networks and placement of solar and wind renewable sources considering reliability. Environmental Technology & Innovation, 20, 101118.

Diego Zarie | Renewable Energy | Young Researcher Award

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Mr. Diego Zarie | Renewable Energy | Young Researcher Award

Junior Researcher, University of Cuenca, United States

Mr. Diego Zarie is a dedicated Electrical Engineering student at the University of Cuenca, Ecuador (2019–2025), specializing in Control and Automation with a strong academic foundation that also includes studies in Power Systems at the Universidad Autónoma de Ciudad Juárez, Mexico (2024) and early technical training at Unidad Educativa Técnico Salesiano, Cuenca (2012). Professionally, he has served as Project Manager at M.O. Construcciones (2023–2025), where he has been responsible for designing, planning and executing residential, commercial and industrial electrical projects, including the successful implementation of the ISO 50001 energy efficiency standard in residential construction. His research interests lie in renewable energy, energy efficiency, power systems and automation, with a focus on integrating sustainable practices into engineering solutions. Skilled in project management, system control, and programming across Assembly, C, C++,and ML, Mr. Diego Zarie combines technical expertise with leadership and organizational abilities. He has also demonstrated strong community engagement as an international volunteer in Teresina, Brazil, contributing to UN Sustainable Development Goal 4 on quality education. Recipient of recognition for his early contributions, including one indexed publication, he shows great promise as a young researcher. In conclusion, Mr. Diego Zarie exemplifies academic excellence, professional competence, and social responsibility, making him a deserving candidate for recognition.

Profile: ORCID

Featured Publications

Arévalo-Cordero, P., González, F., Martínez, A., Zarie, D., Rodas, A., Albornoz, E., Ochoa-Correa, D., & Benavides, D. (2025). Hybrid LSTM–FACTS control strategy for voltage and frequency stability in EV-penetrated microgrids. Technologies, 13(9), 402.

 

Muhammad Sohaib Tahir | Renewable Energy | Best Researcher Award

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Mr. Muhammad Sohaib Tahir | Renewable Energy | Best Researcher Award

Muhammad Sohaib Tahir at Shanghai Jiao Tong University Pakistan.

Muhammad Sohaib Tahir is a multidisciplinary researcher and doctoral candidate at the China-UK Low Carbon College, Shanghai Jiao Tong University, jointly with The University of Edinburgh. With a diverse academic background in electronic, electrical, and mechanical engineering, he focuses on power engineering, thermophysics, and renewable energy systems. With over five years of industry experience and several international recognitions, Mr. Tahir actively contributes to research on photovoltaic-thermoelectric integration, electric vehicle modeling, and inverter design. He is a registered engineer with the Pakistan Engineering Council and a member of IEEE, demonstrating a strong commitment to innovation in low-carbon technologies.

Professional Profile.

Scopus

Orcid

Education 

  • Ph.D. in Mechanical Engineering (Power Engineering & Thermophysics)
    China-UK Low Carbon College
    Shanghai Jiao Tong University, China / University of Edinburgh, UK

  • M.Sc. in Electrical Engineering (Electric Power & Automation)
    Shanghai Jiao Tong University, China

  • B.Sc. in Electronic Engineering
    The Islamia University of Bahawalpur, Pakistan

Professional Experience 

Mr. Tahir has rich experience in both industry and academia. He worked as a Technical Support Engineer at ZKTeco Co. Ltd. in Shenzhen, China, where he contributed to hardware/software development, electric control systems, and PLC programming. Prior to that, he served as an Operation Site Engineer at Mobilink Telecom in Pakistan, managing BTS equipment and leading fault-handling operations for Huawei and Alcatel systems. His technical exposure includes simulation tools like MATLAB/Simulink, SolidWorks, and OriginLab, making him proficient in both energy system modeling and embedded control solutions.

Research Interest 

  • Renewable Energy Systems and Hybrid Technologies

  • Thermoelectric Cooling in Photovoltaic Modules

  • Electric Power & Automation Systems

  • Energy Storage and Inverter Design

  • Integration of Technology in Engineering Education

  • Electric Vehicle Ecosystem and Sustainability

Publications Top Noted

  1. Tahir, M.S., Dong, X., Khan, M.M.
    Mathematical and Simulation Modeling of Photovoltaic Systems Utilizing Thermoelectric Modules for Effective Thermal Management
    Results in Engineering, 2025. [DOI: https://doi.org/10.1016/J.RINENG.2025.106344]

  2. Tahir, M.S., Xu, J., Wang, Y.
    Novel CoolMosfet Clamping Three-Level Neutral-Point-Clamping Inverter for Low and Medium Power Applications
    IFEEC 2017 – ECCE Asia, IEEE International Conference, pp. 1949–1953.
    IEEE Accession No: 20174704419540

Conclusion 

Muhammad Sohaib Tahir exemplifies a rising talent in the fields of power engineering, sustainable energy, and automation. With his rich academic background, impactful publications, and cross-cultural research engagements, he represents a new generation of globally minded engineers. His proactive attitude, technical competence, and dedication to clean energy innovation make him a worthy candidate for international recognition. As he continues to contribute to research, technology integration, and global energy solutions, his future as a leader in sustainable engineering is promising.

Samee Ullah Khan | Energy Informatics | Best Researcher Award

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Dr. Samee Ullah Khan | Energy Informatics | Best Researcher Award

Postdoctoral Fellow at Khalifa University, Abu Dahbi, UAE, Aerospace Research and Innovation Center, United Arab Emirates.

Dr. Samee Ullah Khan is a Postdoctoral Fellow and Co-Supervisor at the ARIC Center, Khalifa University, UAE. With extensive academic and research experience across South Korea, UAE, and Pakistan, he specializes in AI-driven solutions for smart surveillance, industrial automation, energy informatics, and computer vision. His interdisciplinary work spans collaborations with global research teams, contributing to high-impact publications and real-time applications in intelligent systems and deep learning.

Professional Profile 

Scopus Profile

Orcid Profile

Google Scholar Profile

Education 🎓📚

  • Ph.D. in Software Engineering
    Sejong University, Seoul, South Korea (2019–2023)
    CGPA: 4.44/4.5
    Dissertation: Discriminative Feature Analysis for Person Re-Identification Using Deep Learning

  • Master’s in Computer Science
    Islamia College Peshawar, Pakistan (2016–2019)
    CGPA: 3.33/4.0
    Dissertation: Efficient Computational Model for Automatic Detection and Classification of DNA Proteins

Professional Experience 🧑‍🏫💼

  • Postdoctoral Fellow, Khalifa University (April 2024–Present)
    AI-based industrial solutions, carbon fiber defect detection

  • Postdoctoral Fellow, Kyungpook National University, South Korea (Sep 2023–Mar 2024)

  • Co-Supervisor, PhD Candidates – Khalifa University (Jan 2025–Present)

  • Lab Coordinator, Intelligent Media Lab, Sejong University (2022–2023)

  • Research Assistant, Sejong University (2019–2022)

  • Research Assistant, Islamia College Peshawar (2016–2019)

Research Interest 🔬📈

  • Deep Learning for Surveillance & Re-Identification

  • AI for Smart Manufacturing and Carbon Fiber Defect Detection

  • Energy Consumption Forecasting and XAI

  • Active Learning, Data Augmentation

  • Computer Vision for Smart Cities

Awards & Recognition

  • Best Researcher Award – Sejong University (2023)

  • Best Paper Award – Korea Next Generation Computing Conference (2023)

  • Best Poster Award – 6th Int’l Conf. on Next Generation Computing (2023)

  • Fully Funded PhD Scholarships (2016, 2019)

Author Metrics

  • Total Citations (Top Publications): 285+

  • Top Journals: Sensors, Expert Systems with Applications, Mathematics, Multimedia Tools and Applications

  • Roles: Lead author on deep learning, smart energy, and Re-ID systems

Publications Top Note 📝

  1. “Towards efficient building designing: Heating and cooling load prediction via multi-output model”
    Sensors, 2020 – Cited by 63

  2. “Deep multi-scale pyramidal features network for supervised video summarization”
    Expert Systems with Applications, 2024 – Cited by 60

  3. “Sequential learning-based energy consumption prediction for residential/commercial sectors”
    Mathematics, 2021 – Cited by 58

  4. “AB-net: Deep learning framework for renewable energy forecasting”
    Mathematics, 2021 – Cited by 54

  5. “Deep-ReID: Autoencoder-assisted image patching for smart city surveillance”
    Multimedia Tools and Applications, 2024 – Cited by 50

Conclusion 🌟🎯

Dr. Samee Ullah Khan is highly suitable for the Best Researcher Award in Energy Informatics. His innovative, interdisciplinary, and internationally recognized contributions, particularly in energy forecasting, AI-driven defect detection, and smart city applications, establish him as a leading figure in next-generation energy systems research.

Dr. Spyros Giannelos | Renewable Energy | Excellence in Research Award

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Dr. Spyros Giannelos | Renewable Energy | Excellence in Research Award

Dr. Spyros Giannelos | Renewable Energy – Research Associate at Imperial College London, United Kingdom

Dr. Spyros Giannelos is an accomplished researcher in the fields of energy economics, smart grid technologies, and optimization. With a strong academic background and extensive industry experience, he has made significant contributions to the development of sustainable energy systems through advanced modeling techniques and strategic planning. His work focuses on enhancing the efficiency and resilience of power systems using cutting-edge machine learning and optimization algorithms. Dr. Giannelos’s research has been widely recognized for its impact on both theoretical foundations and real-world applications in energy management and smart grid technologies. 🚀

Profile:

Orcid

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Google Scholar

Education:

Dr. Giannelos holds an advanced degree in energy systems and power optimization, earned from a prestigious institution. His academic journey equipped him with expertise in the principles of energy economics, machine learning, and optimization models. This rigorous training laid the foundation for his future research, allowing him to explore innovative solutions to global energy challenges. His education emphasized both the theoretical aspects of energy systems and their practical applications, fostering a deep understanding of how to address energy sustainability and efficiency through advanced technologies. 🎓

Experience:

Dr. Giannelos currently serves as a faculty member at Imperial College London, where he applies his extensive knowledge to research and teach about energy systems, smart grids, and optimization techniques. His career spans both academia and the energy sector, where he has worked on numerous projects focusing on grid optimization, renewable energy integration, and electric vehicle smart charging. Throughout his career, he has collaborated with international researchers, industry leaders, and policymakers, contributing to projects that shape the future of global energy systems. His practical experience is complemented by a strong publication record, reflecting his commitment to advancing energy research. ⚡

Research Interests:

Dr. Giannelos’s research interests lie at the intersection of energy systems, machine learning, and optimization models. He focuses on developing innovative methods to improve the efficiency, reliability, and sustainability of power grids. His work explores the strategic valuation of smart grid technologies, the integration of renewable energy sources, and the optimization of energy storage systems. Dr. Giannelos is particularly interested in applying advanced machine learning algorithms to predict energy consumption patterns, optimize grid operations, and enhance decision-making processes in energy management. 🌍

Awards:

Dr. Giannelos has received several prestigious awards in recognition of his outstanding contributions to energy research. His work on smart grid technologies, electric vehicle charging strategies, and energy optimization models has earned him accolades from leading energy research organizations and academic institutions. These awards reflect not only the impact of his research on the academic community but also its practical significance in addressing real-world energy challenges. His ability to bridge the gap between theoretical research and industry applications makes him a distinguished figure in the field of energy economics. 🏆

Publications:

Dr. Giannelos has authored and co-authored numerous influential publications in the realm of energy systems and optimization. Here are seven of his key works:

  1. Strategic Valuation of Smart Grid Technology Options in Distribution Networks (2016)
    📄 Cited by 114
  2. Machine Learning Approaches for Predictions of CO2 Emissions in the Building Sector (2024)
    📄 Cited by 24
  3. Modelling Smart Grid Technologies in Optimisation Problems for Electricity Grids (2023)
    📄 Cited by 40
  4. Strategic Network Expansion Planning with Electric Vehicle Smart Charging Concepts as Investment Options (2022)
    📄 Cited by 78
  5. Option Value of Demand-Side Response Schemes Under Decision-Dependent Uncertainty (2018)
    📄 Cited by 50
  6. Long-Term Expansion Planning of the Transmission Network in India Under Multi-Dimensional Uncertainty (2021)
    📄 Cited by 26
  7. A Machine Learning Approach for Generating and Evaluating Forecasts on the Environmental Impact of the Buildings Sector ( 2023)

Conclusion:

Dr. Spyros Giannelos is an outstanding candidate for the Excellence in Research Award due to his significant contributions to the fields of energy economics, smart grid technologies, and optimization. His research has not only advanced theoretical understanding but also provided practical solutions that address critical challenges in energy management and sustainability.

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. Dr. Chih-Chiang Hua | Energy | Best Researcher Award

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Prof. Dr. Chih-Chiang Hua | Energy | Best Researcher Award

Prof. Dr. Chih-Chiang Hua | Energy – Professor at National Yunlin University of Science and Technology, Taiwan

Prof. Dr. Chih-Chiang Hua is a distinguished academician specializing in electrical engineering, currently serving as a Distinguished Professor at National Yunlin University of Science and Technology, Taiwan. With a solid foundation in power electronics, renewable energy systems, and uninterruptible power supplies, Dr. Hua has dedicated his career to advancing technological innovations in energy efficiency and system reliability. His extensive research output, coupled with active participation in professional societies like IEEE Power Electronics and Taiwan Power Electronics Association, highlights his influence in the global academic community. 🌍

Profile:

Orcid

Education:

Dr. Hua earned his Bachelor’s degree in Electrical Engineering from National Cheng Kung University, Taiwan, laying the groundwork for his future academic pursuits. He then advanced his studies at the University of Missouri, Columbia, where he obtained both his Master’s and Ph.D. degrees in Electrical Engineering. This academic journey equipped him with a comprehensive understanding of electrical systems, enabling him to delve into complex research areas related to power electronics and renewable energy technologies. 🎓

Experience:

Since 1992, Dr. Hua has been a faculty member at National Yunlin University of Science and Technology, where he has significantly contributed to both teaching and research. His role as a Distinguished Professor reflects his leadership in academia, mentoring graduate students and leading pioneering research projects. Dr. Hua’s professional experience is enriched by his active involvement in international research collaborations, conferences, and editorial roles in reputable journals, fostering a dynamic exchange of knowledge within the academic community. 🏫

Research Interests:

Dr. Hua’s research interests encompass power electronics converters, uninterruptible power supplies, and renewable energy systems. He focuses on developing efficient energy conversion technologies, improving the reliability of power systems, and advancing sustainable energy solutions. His work in designing advanced power converters and hybrid control systems has contributed to the optimization of energy management in various applications, reflecting his commitment to addressing global energy challenges. ⚡

Awards:

Dr. Hua’s contributions to the field of electrical engineering have been recognized through prestigious awards, including the Outstanding Electrical Engineering Professor Award from the Chinese Institute of Electrical Engineering, Taiwan, in 2011. Additionally, he was honored as a Fellow of the Taiwan Power Electronics Association in 2023, acknowledging his significant impact on power electronics research and education. 🏆

Selected Publications:

  1. “A Parallel Dual LLC Resonant Converter with Wide Output Voltage Range for Energy System Applications” (2025)
  2. “A Bidirectional Isolated DC-to-DC Converter with Hybrid Control of Pulse Width Modulation and Pulse Frequency Modulation” (2024)
  3. “High-Efficiency Power Converter Design for Renewable Energy Systems” (2023)
  4. “Advanced Uninterruptible Power Supply Systems for Smart Grids” (2022)
  5. “Innovations in Power Electronics for Sustainable Development” (2021)
  6. “Optimizing Energy Conversion in Hybrid Systems” (2020)
  7. “Development of Intelligent Control Systems for Power Converters” (2019)

Cited By: Dr. Hua’s publications have garnered significant academic attention, with numerous citations reflecting their impact on the field of electrical engineering. 📚

Conclusion:

Chih-Chiang Hua’s exemplary career in electrical engineering, marked by groundbreaking research, academic leadership, and dedication to advancing renewable energy technologies, positions him as an ideal candidate for the Best Researcher Award. His influential publications, recognition by esteemed professional bodies, and commitment to fostering innovation in power electronics underscore his outstanding contributions to science and technology. This nomination not only celebrates his past achievements but also acknowledges his ongoing impact in shaping the future of sustainable energy systems. 🌟

 

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

 

 

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. Mohamed K.M Gerwash | energy rationalization | Best Researcher Award

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Dr. Mohamed K.M Gerwash | energy rationalization | Best Researcher Award

Dr. Mohamed K.M Gerwash, Egyptian Russian University, Egypt

Mohamed Karim Mohamed Gerwash is an Egyptian researcher specializing in refrigeration, air conditioning, and energy rationalization, with a focus on renewable energy. He holds a Master’s degree in Refrigeration and Energy Rationalization and is currently pursuing a Ph.D. in the same field. He works at the Science & Innovation Centre of Excellence at the Egyptian Russian University. Mohamed has extensive industry experience in HVAC design, maintenance, and sustainability. He is passionate about green energy, water desalination, and recycling, and has published multiple articles in peer-reviewed journals. 🏫🌱

Professional Profile:

Orcid

Suitability Summary for Best Researcher Award

Mohamed Karim Mohamed Gerwash is a highly suitable candidate for the Best Researcher Award based on his extensive academic and professional contributions, particularly in the fields of refrigeration, air conditioning, energy rationalization, and sustainable energy solutions.

Education and Experience 📘

  • 🎓 Diploma in Industrial Refrigeration and Air Conditioning (2005–2006)
  • 🎓 Bachelor’s in Cooling and Air Conditioning Technology – Helwan University (2010)
  • 🎓 Master’s in Refrigeration, Air Conditioning, and Energy Rationalization – Specialization in Renewable Energy (2019)
  • 🎓 Ph.D. Researcher – Refrigeration, Air Conditioning, and Energy Rationalization – Egyptian Russian University (2020–Present)
  • 🧑‍🔬 Researcher – Science & Innovation Centre of Excellence, Egyptian Russian University (2023–Present)

Professional Development 🌱

Mohamed Karim Mohamed Gerwash has a strong professional background in refrigeration and air conditioning, with hands-on experience in maintenance, fault detection, and system design. He has contributed to the design and implementation of HVAC systems for universities and industries and has worked as a maintenance department manager at Venice Ceramics Company. His research explores energy-efficient technologies, water desalination, and sustainable energy solutions. Mohamed’s engagement in multiple conferences and achievements in university competitions further highlight his professional commitment and growth. 💡🌍

Research Focus 🔬

Mohamed’s research interests primarily focus on sustainable technologies and green energy solutions. His areas of expertise include:

  • ❄️ Refrigeration and Air Conditioning – Exploring energy-efficient systems.
  • 🌱 Sustainability – Investigating eco-friendly practices in HVAC and energy use.
  • 💧 Water Desalination – Developing systems for fresh water production.
  • 🌿 Green Energy – Research on renewable energy, including hydrogen and industrial waste recycling.
    His work aims to reduce environmental impact and improve efficiency across various sectors. 🌍💧

Awards and Honors 🏆

  • 🥇 First Place in Innovators Support Fund – Egyptian Russian University (2024)
  • 🎓 STDF Project Initiator – Project on Sustainable Refrigeration (2023)
  • 📚 Published Articles in Peer-Reviewed Journals – Industrial Technology Journal & Hydrogen (2024)

Publication Top Notes:

📚 “Sustainable Production of Green Oxy-Hydrogen from Vehicles’ Air Conditioning Drains to Enhance Engine Efficiency and Reduce Greenhouse Gas Emissions”
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📚 “The impact of pulse width modulation (PWM) on the generation of hydroxy gas (HHO)”
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