Burhan Abdullah | Renewable Energy | Best Researcher Award

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Dr. Burhan Abdullah | Renewable Energy | Best Researcher Award

Dr. Burhan Abdullah | Sharda University | India

Dr. Burhan Abdullah is a dedicated researcher specializing in Electrical and Renewable Energy Engineering, with expertise in artificial intelligence–driven optimization for photovoltaic (PV) systems, microgrids, and power quality enhancement. His research focuses on intelligent inverter control and maximum power point tracking (MPPT) techniques to maximize solar PV performance and improve grid integration efficiency. Dr. Burhan Abdullah interdisciplinary work bridges AI, machine learning, and sustainable energy systems to address challenges in renewable energy transition and climate change mitigation. He has contributed significantly to data-driven forecasting, hybrid optimization algorithms, and smart grid stability analysis. His publications in high-impact Q1 SCI-indexed journals such as Energies and Frontiers in Energy Research highlight his advancements in hybrid AI algorithms, incremental conductance control, and energy forecasting models. Beyond research, he actively engages in mentoring, scholarly writing, and peer reviewing for reputed journals including Springer Nature and Contemporary Mathematics. 40 citations indexed in Scopus across 6 documents and an h-index of 4, Dr. Burhan Abdullah’s contributions underscore his growing influence in intelligent renewable energy systems and sustainable power technologies.

Profile: Scopus | Google Scholar | ORCID 

Featured Publication

Abdullah, B. U. D. (2025). Comparative analysis using multiple regression models for forecasting PV power generation. Energies, Q1, SCI.

Abdullah, B. U. D. (2025). Hybrid artificial ecosystem optimizer and incremental conductance MPPT controlled PV system. Energies, Q1, SCI.

Abdullah, B. U. D. (2024). IoT-based solar monitor system. IEEE Explorer.

Abdullah, B. U. D. (2023). Application of AI in MPPT for solar power systems: Review. ICAIM 2023.

Abdullah, B. U. D. (2023). Performance and reliability of microgrid with PV units. In Taylor & Francis (Book Chapter).

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.

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.

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. Nuwahereza Nelson | Sustainable Technology | Best Researcher Award

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Mr. Nuwahereza Nelson | Sustainable Technology | Best Researcher Award

Mr. Nuwahereza Nelson, University of Nigeria, Uganda

Mr. Nelson Nuwahereza is a dedicated environmental researcher and forestry expert, currently pursuing a Ph.D. in Environmental Management and Control at the University of Nigeria, Nsukka. His research, funded by the Homegrown Clean Energy (HCE) Solutions Intra-Africa Mobility Scholarship, explores Uganda’s wood-based bioenergy transition. With an MSc in Forestry and Biodiversity Management from Makerere University, Nelson has extensive experience in forest landscape restoration, climate change adaptation, and REDD+ initiatives. As a Forestry Officer in Uganda’s Ministry of Water and Environment, he contributes to policy formulation and forest conservation. His work focuses on sustainable forestry, biodiversity conservation, and clean energy transitions. 🌱

🌍 Professional Profile:

ORCID

🏆 Suitability for Best Researcher Award 

Nelson Nuwahereza’s outstanding contributions to forestry and environmental management make him a strong candidate for the Best Researcher Award. His pioneering research on Uganda’s bioenergy transition addresses critical issues in climate change, sustainability, and energy independence. With extensive policy-making experience in Uganda’s REDD+ program and forest sector, he has shaped national strategies for conservation and carbon markets. His publications, training programs, and leadership in environmental governance showcase his impactful work. Nelson’s commitment to biodiversity conservation, rural livelihoods, and decarbonization aligns with global sustainability goals, making him an exemplary researcher in environmental science. 🌍🌳

🎓 Education

Nelson Nuwahereza is pursuing a Ph.D. in Environmental Management and Control at the University of Nigeria, Nsukka (2024-2027), focusing on sustainable bioenergy transition in Uganda. His MSc in Forestry and Biodiversity Management from Makerere University (2022-2024) equipped him with expertise in forest conservation and environmental policy. He also holds a Bachelor’s in Conservation Forestry and Production Technology from Makerere University (2010-2014). Nelson has furthered his knowledge through specialized training, including the UN REDD+ Academy and a Certificate in Plant Conservation from Oslo and Makerere Universities. His academic journey underscores his deep commitment to environmental sustainability and climate resilience. 📚🌿

💼 Experience

Nelson Nuwahereza has extensive experience in environmental management, serving as a Forestry Officer at Uganda’s Ministry of Water and Environment since 2019. He plays a key role in formulating forest policies, supporting Uganda’s REDD+ program, and implementing forest landscape restoration strategies across 27 districts. Previously, he worked as a Programs Manager at Universal Love Alliance (2015-2017), where he developed training materials on human rights and sustainability. His expertise spans forest governance, climate change adaptation, agroforestry, and carbon market regulation. His contributions to conservation efforts and policy development make him a leading expert in Uganda’s environmental sector. 🌳⚖️

🏅 Awards & Honors

🔹 Homegrown Clean Energy (HCE) Solutions Intra-Africa Mobility Scholarship – Funded Ph.D. research on bioenergy transition.
🔹 UN REDD+ Academy Graduate – Recognized for expertise in forest conservation and climate change mitigation.
🔹 Plant Conservation Certification – Awarded by Oslo and Makerere Universities for contributions to biodiversity protection.
🔹 National Policy Contribution – Key role in developing Uganda’s Carbon Market Regulation and Forest Sector Guidelines.
🔹 Best Environmental Policy Contributor – Recognized by Uganda’s Ministry of Water and Environment for policy formulation in forestry governance. 🏆🌍

🔬 Research Focus 

Nelson’s research spans sustainable forestry, biodiversity conservation, and clean energy transitions. His Ph.D. work explores Uganda’s declining biomass stock and strategies for a wood-based bioenergy transition. He specializes in climate change adaptation, REDD+, rural livelihoods, and decarbonization. His expertise extends to environmental impact assessments, agroforestry, and sustainable technology solutions for Africa’s green energy future. With a strong focus on policy development, carbon markets, and forest restoration, Nelson’s work contributes to both academic knowledge and practical environmental governance. His research aligns with global sustainability goals, ensuring ecological balance and energy resilience. 🌱🔬

📖 Publication Top Notes 

  • Assessment of the Adoption of Nature-Based Solutions for Flood Risk Mitigation: Socio-Economic Determinants in the River Nyamwamba Catchment, Uganda
    • Publication Date: November 2024 (Preprint)
  • Navigating the UNFCCC Conference of the Parties (COP): A Focus on COP29 Baku, Azerbaijan
    • Publication Date: November 12, 2024 (Preprint)
  • A Review of Historical Development of Environmental Impact Assessment Vis a Vis Nigeria Environmental Impact Assessment Act of 1992 as Amended in 2004
    • Publication Date: April 5, 2024
  • A Generation in Limbo: The Forgotten Families of Muhokya Camp, Kasese District
    • Publication Date: November 26, 2024
  • Beyond the Global Headlines: Why COP29 Matters to You and Your Community
    • Publication Date: November 13, 2024

 

Prof. Dr. Mauro Augusto da Rosa | Power System | Best Innovation Award

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Prof. Dr. Mauro Augusto da Rosa | Power System | Best Innovation Award

Prof. Dr. Mauro Augusto da Rosa | INESC P&D Brasil | Brazil

Mauro Augusto da Rosa is a distinguished electrical engineer, researcher, and professor specializing in power systems planning, renewable energy, and artificial intelligence applications. He holds a Ph.D. in Electrical Engineering from the University of Porto, Portugal, with a research placement at KTH Sweden. Throughout his career, he has worked as a Senior Researcher at INESC TEC, a Professor at PUCRS and UFSC, and an Executive Director at INESC P&D Brazil. His research focuses on energy distribution systems, automation, and reliability, with significant contributions to technological innovations in electrical energy storage and AI-driven power system optimization.

Professional Profile:

Google scholar

Suitability for Best Innovation Award

Dr. Mauro Augusto da Rosa is a highly deserving candidate for the Best Innovation Award due to his groundbreaking contributions to power systems planning, renewable energy, and AI-driven energy optimization. His work has led to technological advancements in energy distribution, automation, and storage, playing a crucial role in shaping the future of sustainable and intelligent power systems.

Education & Experience 🎓💼

🔹 Ph.D. in Electrical & Computer Engineering – University of Porto, Portugal (2010)
🔹 Master’s in Electrical Engineering – PUCRS, Brazil (2003)
🔹 Specialization in Distribution Systems Planning – Mackenzie University, Brazil (2002)
🔹 B.Sc. in Electrical Engineering – PUCRS, Brazil (1998)

🔸 Professor – Federal University of Santa Catarina, UFSC (2013–Present)
🔸 Executive Director – INESC P&D Brazil (2023–Present)
🔸 Director of Science & Technology – INESC P&D Brazil (2012–2023)
🔸 Senior Researcher – INESC TEC, Portugal (2010–2012)
🔸 Visiting Professor – University of Porto, Portugal (2010–2012)
🔸 Visiting Researcher – KTH Sweden (2008)
🔸 Assistant Professor – PUCRS, Brazil (2000–2009)
🔸 Engineer (Distribution Systems Planning) – Rio Grande Energia, Brazil (1999–2003)

Professional Development 🚀📡

Mauro Augusto da Rosa has played a pivotal role in advancing electrical engineering, power systems, and energy distribution. As a professor and researcher at UFSC, he educates the next generation of engineers while leading cutting-edge research projects. His tenure at INESC P&D Brazil includes spearheading technological advancements in energy storage, grid reliability, and AI applications for power systems. His expertise in renewable energy integration and intelligent power systems has led to impactful projects such as NAATEC (energy storage) and FASTEN Vita (pandemic response technology). His commitment to innovation, sustainability, and AI-driven solutions continues to shape the future of energy systems.

Research Focus 🔬⚡

Mauro’s research centers on power system reliability, renewable energy integration, and AI-driven solutions for energy distribution and automation. His work leverages intelligent agents and evolutionary computing to enhance power system resilience and predictive analytics. He actively explores new energy storage technologies, such as vanadium and iron-sulfur flow batteries, to mitigate renewable energy intermittency. Additionally, he has led projects that use distributed manufacturing technologies for energy and healthcare applications. His expertise in automation, AI, and control systems contributes to the development of smarter, more sustainable power grids that improve efficiency and energy security.

Awards & Honors 🏆🎖️

🏅 Ph.D. Fellowship – University of Porto & KTH Sweden
🏅 Recognition for Research Contributions – INESC TEC, Portugal
🏅 Executive Leadership Award – INESC P&D Brazil
🏅 Best Paper Awards – Various international power system conferences
🏅 Research Grant Award – Brazilian National Research Council (CNPq)

Publication Top Notes:

  • 📌 Improving power system reliability calculation efficiency with EPSO variants – V Miranda, L de Magalhaes Carvalho, MA Da Rosa, AML Da Silva,  🔗 Cited by: 113
  • 📌 Probabilistic evaluation of reserve requirements of generating systems with renewable power sources: The Portuguese and Spanish cases – M Matos, JP Lopes, M Rosa, R Ferreira, AL da Silva, W Sales, L Resende, 🔗 Cited by: 105
  • 📌 Distributed energy resources impact on distribution system reliability under load transfer restrictions – AML da Silva, LC Nascimento, MA da Rosa, D Issicaba, JAP Lopes 🔗 Cited by: 83
  • 📌 Multi-objective evolutionary particle swarm optimization in the assessment of the impact of distributed generation – RS Maciel, M Rosa, V Miranda, A Padilha-Feltrin 🔗 Cited by: 78
  • 📌 Adequacy and security evaluation of distribution systems with distributed generation – D Issicaba, JAP Lopes, MA da Rosa 🔗 Cited by: 59

 

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”
🌱🚗

📚 “The impact of pulse width modulation (PWM) on the generation of hydroxy gas (HHO)”
⚡🔋

 

Teshome Lindi Kumissa | power systems | Best Researcher Award

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Teshome Lindi Kumissa | power systems | Best Researcher Award

Dr. Teshome Lindi Kumissa, Hawassa University Institute Of Technology Faculty of Electrical Engineering , Ethiopia.

Publication profile

Orcid

Education 🎓

  • Ph.D. Candidate: Power System Planning & Management, Addis Ababa University (Defense Remaining)
  • M.Sc.: Electrical Engineering (Power Engineering), Adama Science & Technology University (2008–2010)
  • B.Sc.: Electrical-Electronics Technology, Adama Science & Technology University (1998–2002)
  • Advanced Diploma: Electrical Engineering, Bahirdar Polytechnic Institute (1991–1994)

Experience 🧑‍🏫

  • Senior Lecturer: Electrical & Computer Engineering, Hawassa University (1995–2012)
  • Dean/Vice Dean: SERE Bonga TVET College, Ethiopia (1995–2012)

Suitability For The Award

Dr. Teshome Lindi Kumissa, a Ph.D. candidate and Senior Lecturer in the Department of Electrical and Computer Engineering at Hawassa University, has made significant contributions to the field of power systems engineering. With an impressive academic and professional background spanning over two decades, he has a proven track record in research, teaching, and leadership, making him a commendable nominee for the Best Researcher Award.

Professional Development 

Dr. Teshome Lindi Kumissa has demonstrated exceptional expertise in power systems, renewable energy, and electrical engineering innovation 💡. His professional development includes advanced training in transient stability analysis, power electronics, and renewable energy systems 🌱. He has contributed to groundbreaking research on voltage stability and dynamic security tools, leveraging SCADA systems for enhanced grid reliability. Dr. Kumissa’s dedication extends to mentoring students and designing sustainable energy solutions for communities, such as solar PV systems for rural Ethiopia ☀️. A thought leader in his field, he actively participates in research reviews and collaborates on impactful projects addressing global energy challenges. 🌍⚡

Research Focus 

Awards and Honors

  • 🎓 Ph.D. Candidacy Achievement: Recognized for significant contributions to power system stability analysis tools.
  • 📜 Publications: Multiple peer-reviewed articles in high-impact journals (e.g., Energies, Electricity).
  • 🌱 Rural Energy Solutions: Recognized for impactful solar PV design projects in Ethiopia.
  • 🛠 Engineering Innovation: Contributions to power system tools and renewable energy integration.

Publoication Top Notes

  • Transient Stability-Based Fast Power System Contingency Screening and Ranking 📰, Electricity (2024) | DOI: 10.3390/electricity5040048 | Cited by: 0
  • Adaptive Order and Step-Size Differential Transformation Method-Based Power System Transient Stability Simulation ⚡, Australian Journal of Electrical and Electronics Engineering (2024) | DOI: 10.1080/1448837x.2024.2359210 | Cited by: 0
  • Fast Power System Transient Stability Simulation 🌐, Energies (2023) | DOI: 10.3390/en16207157 | Cited by: 0

 

Dr. Elaheh Yaghoubi | Smart Grid | Best Researcher Award

Published on by Global Network Awards

Dr. Elaheh Yaghoubi | Smart Grid | Best Researcher Award

Dr. Elaheh Yaghoubi, Karabuk University, Turkey

Dr. Elaheh Yaghoubi is a skilled researcher in power system analysis and smart grids, currently pursuing her Ph.D. in Electronic and Electrical Engineering at Karabuk University, Turkey, where she focuses on optimal power control for grid-connected distributed generation using Model Predictive Control (MPC). She holds a Master’s degree in Electrical Engineering from Islamic Azad University, Iran, specializing in error detection for grid systems. As a Principal Researcher at PEDAR, she integrates AI techniques like machine learning and deep learning into power management solutions and has held senior roles in companies such as Rico Electronics and Kati Kabl Tabarestan Factory.

Professional Profile

Google Scholar

Suitability for the Best Researcher Award:

Dr. Elaheh Yaghoubi is an excellent candidate for the Best Researcher Award. Her ongoing research in optimal power control for distributed generation, coupled with her expertise in MPC and AI integration, positions her as a forward-thinking researcher addressing critical issues in the energy sector. Her work is both theoretically robust and practically applicable, which is essential for the future development of sustainable and intelligent power systems.

Education & Expertise:

Dr. Elaheh Yaghoubi is currently pursuing her Ph.D. in Electronic and Electrical Engineering at Karabuk University, Turkey, where her research focuses on optimal power control of grid-connected distributed generation using Model Predictive Control (MPC). She also holds a Master’s degree in Electrical Engineering from Islamic Azad University, Iran, specializing in error detection for grid systems.

Research Interests:

Her areas of interest include power system analysis, smart grids, renewable energy, distributed generation, and the application of AI techniques like machine learning and deep learning in power management.

Work Experience:

Dr. Yaghoubi is a Principal Researcher at the Power Electrical Developing Advanced Research (PEDAR) Group and has held senior management positions at Rico Electronics and Kati Kabl Tabarestan Factory. Additionally, she worked as a website designer at WebCore Company.

Her work integrates advanced power control strategies with AI-driven solutions for future energy systems.

Publication Top Notes:

  • “The role of mechanical energy storage systems based on artificial intelligence techniques in future sustainable energy systems”
    • Citations: 16
    • Published: 2023
  • “Triple-channel glasses-shape nanoplasmonic demultiplexer based on multi nanodisk resonators in MIM waveguide”
    • Citations: 12
    • Published: 2021
  • “Reducing the vulnerability in microgrid power systems”
    • Citations: 11
    • Published: 2023
  • “Electric vehicles in China, Europe, and the United States: Current trend and market comparison”
    • Citations: 10
    • Published: 2024
  • “Tunable band-pass plasmonic filter and wavelength triple-channel demultiplexer based on square nanodisk resonator in MIM waveguide”
    • Citations: 10
    • Published: 2022