Seyi Akadiri | Energy | Editorial Board Member

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Dr. Seyi Akadiri | Energy | Editorial Board Member

Central Bank of Nigeria | Nigeria

Dr. Seyi Saint Akadiri is an accomplished economist whose research explores the complex interactions between energy systems, environmental sustainability, macro-financial stability, and technological change. With 5,405 citations, 125 publications, and an h-index of 44, he has established a strong global scholarly footprint across energy economics, climate finance, resource policy, and quantitative econometrics. His work spans cutting-edge themes such as renewable energy transitions, clean energy market dynamics, geopolitical risk transmission, digitalisation-driven sustainability, economic complexity, and the environmental implications of artificial intelligence. Dr. Seyi Saint Akadiri employs advanced analytical frameworks including wavelet methods, quantile causality, connectedness modelling, Fourier-based econometrics, and portfolio risk analysis to address real-world challenges in global energy markets, climate risk, and environmental performance. His broad influence and multidisciplinary collaborations highlight his expertise in clean energy economics, environmental policy modelling, macroeconomic uncertainty, and sustainable growth analytics.

Profile: Scopus | Orcid

Featured Publications

Akadiri, S. S., (2025). Oil shocks and unexpected economic policy uncertainty: Evidence from wavelet nonparametric quantile causality. Humanities and Social Sciences Communications.

Akadiri, S. S., (2025). The J-curve phenomenon in Türkiye’s fossil fuel trade balance: A Fourier-ARDL analysis. Journal of Asian Economics.

Akadiri, S. S., Ozkan, O., & Kirikkaleli, D. (2025). Synergistic impact of renewable energy technology, governance, digitalisation, and human capital on sustainable development and load capacity factor in Germany’s energy landscape. Technology in Society.

Akadiri, S. S.,  (2025). Time and quantile persistence and efficiency of clean, green, and sustainable markets. Letters in Spatial and Resource Sciences.

Akadiri, S. S.,  (2025). Energy, critical minerals, and precious metals: Navigating interconnectedness and portfolio strategies in investment risk management. Resources Policy.

Aram Sahakyan | Renewable Energy | Best Researcher Award

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Dr. Aram Sahakyan | Renewable Energy | Best Researcher Award

Alikhanyan National Science Laboratory | Armenia

Dr. Aram Sahakyan is a distinguished physicist specializing in condensed matter radiation physics and superconductor studies, with a career spanning over five decades. He graduated from Yerevan State University in 1968, earned his Ph.D. on surface states in irradiated MIS structures in 1985, and received his Doctor of Physics and Materials Science in 2013, focusing on radiation-induced effects in semiconductors and high-temperature superconductors. Dr. Sahakyan serves as a Leading Scientist at the Alikhanyan National Scientific Laboratory (Yerevan Physics Institute) and Associate Professor at the National Polytechnic University of Armenia. His research emphasizes experimental investigation of magnetic flux dynamics in high-temperature superconductors, radiation effects in solar cells, and materials behavior under near-Earth space conditions. He has authored over 100 publications, one book, and an educational monograph, with 50 presentations at scientific meetings. His international experience includes visiting positions in Germany, France, and Greece, while his project portfolio spans multiple ISTC and INCO-COPERNICUS initiatives. With 141 citations and an h-index of 6, his contributions reflect enduring impact and leadership in physics research.

Profile: Scopus

Featured Publications

  • Sahakyan, (2023). Rates of electrically active radiation defects in proton irradiated n-type and p-type Si monocrystals. Journal of Electronic Materials.

  • Sahakyan,  (2023). New energy electron and proton irradiation effects in semiconductor materials for space applications. Physics of Particles and Nuclei Letters.

Karam Khairullah | Energy | Best Researcher Award

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Dr. Karam Khairullah | Energy | Best Researcher Award

Dr. Karam Khairullah | University of Malaya | Malaysia

Dr. Karam Khairullah is a distinguished researcher in electrical engineering with a PhD from Universiti Teknologi Malaysia, a master’s degree in control systems from Universiti Teknikal Malaysia Melaka where he was recognized as the best postgraduate student, and a bachelor’s degree in power and machines engineering from the University of Mosul. His research interests span metaheuristic and bio-inspired algorithms, artificial intelligence, renewable energy, photovoltaic systems, maximum power point tracking, grid-connected solar systems, storage technologies, power system protection, wireless power transfer, fuel cells, electric vehicles, and energy efficiency. He has published extensively in high-impact Q1 and Q2 journals, contributing innovative methods for power optimization and renewable energy integration. Professionally, he has lectured at the University of Mosul and currently serves as a Postdoctoral Fellow at the University of Malaya. With prior industry experience in telecommunications and expertise in advanced simulation tools, he combines academic excellence with applied engineering innovation.

Publication Profile

Scopus

Orcid

Google Scholar

Educational Background

Dr. Karam Khairullah has built a strong academic foundation in the field of electrical engineering through his distinguished educational journey. He earned his Doctor of Philosophy in Electrical Engineering from Universiti Teknologi Malaysia, where he specialized in advanced research areas that align with renewable energy and intelligent control systems. Prior to this, he completed his Master’s degree in Electrical Engineering with a focus on control systems at Universiti Teknikal Malaysia Melaka, where he was honored as the best postgraduate student, reflecting both his academic excellence and dedication to innovation. His educational path began with a Bachelor’s degree in Electrical Engineering with a specialization in power and machines from the University of Mosul, which provided him with a solid technical base in electrical systems and energy applications. Collectively, his academic achievements highlight a consistent pursuit of excellence and a commitment to advancing knowledge in electrical engineering and renewable energy technologies.

Professional Experience

Dr. Karam Khairullah has gained extensive experience in both academia and industry, combining teaching, research, and practical engineering expertise. In the academic field, he served as a lecturer at the University of Mosul in the Faculty of Engineering, where he contributed to educating future engineers and advancing research initiatives. He is currently a Postdoctoral Fellow in the Department of Electrical Engineering at the University of Malaya, where his focus lies in renewable energy, control systems, and intelligent optimization techniques. Alongside his academic career, Dr. Karam has professional experience in the telecommunications sector, having worked with major companies. His expertise includes microwave implementation and operations with Huawei and Nokia Siemens systems, BTS installation, and hardware maintenance. He has also worked with various industry-standard software platforms, including Huawei U2000, NSN license manager, Ericsson OMT, and Putty-based systems, reflecting his strong technical background and multidisciplinary capabilities.

Research Focus

Dr. Karam Khairullah’s research focus lies in the advancement of renewable energy systems, intelligent optimization techniques, and power electronics. His work predominantly centers on the development of maximum power point tracking strategies for photovoltaic systems under varying and complex conditions, such as partial shading and load fluctuations. By integrating artificial intelligence, bio-inspired algorithms, and metaheuristic approaches, he has contributed significantly to enhancing the efficiency, reliability, and adaptability of solar energy technologies. His research also extends to hybrid energy management systems, including PV-battery storage-grid integration for electric vehicle charging, demonstrating his commitment to sustainable energy solutions. Moreover, his studies in intelligent fault detection and control mechanisms for power transmission systems highlight his broader contribution to power system protection and stability. Collectively, his research addresses critical challenges in renewable energy utilization and power optimization, positioning him as a leading contributor to the fields of energy efficiency, smart grid systems, and sustainable electrification.

Publication Top Notes

A modified perturb and observe MPPT for a fast and accurate tracking of MPP under varying weather conditions
Year: 2023
Citations: 45

Improved coot optimizer algorithm-based MPPT for PV systems under complex partial shading conditions and load variation
Year: 2024
Citations: 37

Improved rat swarm optimizer algorithm-based MPPT under partially shaded conditions and load variation for PV systems
Year: 2022
Citations: 37

Power management and optimized control of hybrid PV-BESS-grid integrated fast EV charging stations
Year: 2024
Citations: 35

Hybrid global maximum power tracking method with partial shading detection technique for PV systems
Year: 2021
Citations: 32

Conclusion

Dr. Karam Khairullah stands out as an innovative and prolific researcher whose contributions to renewable energy systems, control algorithms, and power electronics have significantly advanced the field. With his blend of academic excellence, impactful publications, and applied expertise, he is a highly suitable candidate for the Research for Best Researcher Award, reflecting strong merit and future potential.

Shahab Khameneh asl | Green energy | Breakthrough Research Award

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Assist. Prof. Dr. Shahab Khameneh asl | Green energy | Breakthrough Research Award

Assist. Prof. Dr. Shahab Khameneh asl, University of Tabriz, Iran

Assist. Prof. Dr. Shahab Khameneh Asl is a pioneering materials scientist whose innovative research in nanostructured ceramics, photocatalysts, and energy materials has significantly advanced renewable energy and environmental applications. With over 25 international publications, leadership of specialized laboratories, and global collaborations across Italy, Turkey, and Iran, his work bridges academia and industry. His applied projects in corrosion control and tribological systems reflect real-world impact. As an emerging leader in material innovation and sustainable technologies, Dr. Khameneh Asl is a standout candidate for the Breakthrough Research Award. His contributions exemplify transformative, interdisciplinary research with societal relevance.

Publication Profile

Google Scholar

Education and Research Experience

Assist. Prof. Dr. Shahab Khameneh Asl has been serving as the Head of the Ceramic Laboratory Complex at the Materials Engineering Department, Faculty of Mechanical Engineering, University of Tabriz, Iran, since September 2016. Under his leadership, the complex encompasses a wide range of specialized laboratories, including ceramic manufacturing, refractory technology, glazing, glass and porcelain technologies, thermal analysis, advanced ceramics, bioceramics, electroceramics, and ceramoglass research. He manages a vibrant team of 2 professors, 2 assistant professors, 13 Ph.D. scholars, 30 postgraduate, and 55 undergraduate students. His lab is a hub for both academic and industrial projects and holds top-tier technology contracts at the university level. Since February 2011, he has also been a dedicated Assistant Professor, teaching a diverse array of courses at B.Sc., M.Sc., and Ph.D. levels, such as Advanced Materials, Nanomaterials, Electroceramics, and Advanced Topics in Materials. His teaching and research integrate innovation, technical expertise, and interdisciplinary collaboration.

Work Experience

Assist. Prof. Dr. Shahab Khameneh Asl has accumulated a broad spectrum of academic and industrial experiences throughout his career. In 2016, he served as a lecturer for Refractory Materials at Maragheh University. As a proactive academic at the University of Tabriz, he contributed to the Entrepreneurship Committee in 2015 and played a pivotal role in nurturing innovation by managing the Nano Materials Characterization at Aras Co. (Aylin Nooran Ghostar) in the Aras Free Zone of Iran in 2014. Additionally, he has been a core member of the Mavad Azmoun Group and led the Nano Materials Group at the New Ideas and Companies Center of Tabriz University since 2011 and 2013, respectively. Earlier in his career, in 2004, he completed an engineering research internship at the Neroo Research Center, contributing to two projects: the synthesis of ZnO electrical ceramics and the evaluation of piezo-sensors in power plants. His diverse roles highlight his interdisciplinary impact.

Scholarships and Awards

Assist. Prof. Dr. Shahab Khameneh Asl has received numerous prestigious scholarships and awards throughout his academic career, reflecting his excellence in materials science and nanotechnology. He was honored by the European Federation of Catalysis Societies (EFCATS) to attend their summer schools in Italy/Spain (2012) and Izmir, Turkey (2010). In July 2012, he was sponsored by the Iranian Ceramic Society and Sacmi Co. to participate in a specialized workshop on tile factories and building ceramics in Imola, Italy. He received the Nanomaterials Student Research Award from the Iran Nanotechnology Initiative Council multiple times between 2004 and 2010. Additionally, he earned the Iranian Ministry of Science and Technology Student Research Award during the same period. Recognized as a Sanjesh Illustrious Talent Student in 2005, he was exempted from military service. His contributions were further recognized with the Best Poster Award at the 8th Ceramic Congress of Iran (2009) and Best Oral Presentation at ICAMR 2013 in the UAE.

Research Focus

Assist. Prof. Dr. Shahab Khameneh Asl’s research primarily focuses on nanomaterials, photocatalysis, surface engineering, and advanced functional materials. His extensive body of work spans the synthesis, characterization, and application of materials such as TiO₂ nanotubes, ZnO nanowires, doped ferrites, and hybrid composites. A significant portion of his research investigates solar water splitting, dye degradation, photoelectrochemical performance, and corrosion resistance, often incorporating innovative approaches like nitrogen-doping and graphene-based modifications. He also explores thermal spray coatings, wear behavior, and microstructure optimization in alloys and ceramics. Through studies on mechanical and electrochemical behavior, he bridges the gap between fundamental materials science and real-world industrial applications, particularly in renewable energy and environmental remediation. His work in optimizing operational parameters using methodologies like Response Surface Methodology (RSM) further enhances the efficiency of photocatalytic systems. Overall, his interdisciplinary research contributes to the development of sustainable materials and advanced nanostructured devices for clean energy and engineering solutions.

Publication Top Notes

  • Magnetic and structural properties of nano sized Dy-doped cobalt ferrite synthesized by co-precipitation – Z Karimi, Y Mohammadifar, H Shokrollahi, SK Asl, G Yousefi, L Karimi – Journal of Magnetism and Magnetic Materials – Cited by: 259 – Year: 2014

  • Highly Efficient Solar Water Splitting from Transferred TiO2 Nanotube Arrays – IS Cho, J Choi, K Zhang, SJ Kim, MJ Jeong, L Cai, T Park, X Zheng, … – Nano Letters – Cited by: 119 – Year: 2015

  • Photocatalytic treatment of a dye solution using immobilized TiO2 nanoparticles combined with photoelectro-Fenton process: optimization of operational parameters – AR Khataee, M Zarei, SK Asl – Journal of Electroanalytical Chemistry – Cited by: 115 – Year: 2010

  • Effect of cooling rate on the microstructure and mechanical properties of a microalloyed forging steel – Dariush Rasouli, Shahb Khameneh ASL – Journal of Materials and Processing Technology – Cited by: 111 – Year: 2008

  • Band-gap narrowing and electrochemical properties in N-doped and reduced anodic TiO2 nanotube arrays – NS Peighambardoust, SK Asl, R Mohammadpour – Electrochimica Acta – Cited by: 102 – Year: 2018

  • Effect of heat treatment on wear behavior of HVOF thermally sprayed WC-Co coatings – SK Asl, MH Sohi, K Hokamoto, M Uemura – Wear – Cited by: 97 – Year: 2006

  • A comparative research on corrosion behavior of a standard, crack-free and duplex hard chromium coatings – MRS Beyragh, SK Asl, S Norouzi – Surface and Coatings Technology – Cited by: 57 – Year: 2010

  • Effect of grit‐blasting parameters on the surface roughness and adhesion strength of sprayed coating – SK Asl, MH Sohi – Surface and Interface Analysis – Cited by: 42 – Year: 2010

  • TiO2/rGO/Cu2O ternary hybrid for high-performance photoelectrochemical applications – E Hajialilou, H Asgharzadeh, SK Asl – Applied Surface Science – Cited by: 35 – Year: 2021

  • The recent advancement in the chitosan hybrid-based scaffolds for cardiac regeneration after myocardial infarction – SK Asl, M Rahimzadegan, R Ostadrahimi – Carbohydrate Polymers – Cited by: 33 – Year: 2023

Conclusion

Assist. Prof. Dr. Shahab Khameneh Asl is a highly suitable candidate for the Breakthrough Research Award. His deep expertise in nanostructured ceramics, energy materials, and environmental photocatalysis—combined with a strong academic leadership role and consistent research output—positions him as a dynamic innovator in materials science and engineering. With a few enhancements in global impact visibility and commercialization, he could further solidify his status as a leader of transformative research.

Williams Ossai | Renewable Energy | Best Researcher Award

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Mr. Williams Ossai | Renewable Energy | Best Researcher Award

Mr. Williams Ossai, Summit Media, United Kingdom

Mr. Williams Ossai is a Data and Analytics Specialist at Summit Media, Hull, UK 🇬🇧. He holds a Master’s degree in Artificial Intelligence and Data Science 🤖📊 from the University of Hull, with an academic background in Physics/Electronics ⚡. His work spans energy, media, and healthcare sectors, where he applies machine learning for impactful decision-making. Williams is actively involved in research on renewable energy adoption 🌱 and dementia in cancer populations 🧠, utilizing UK Biobank data. His contributions bridge innovation and social impact, transforming complex data into actionable insights for sustainability, healthcare improvement, and global development

Publication Profile

Google Scholar

🎓 Academic & Professional Background

Mr. Williams Ossai is a skilled Data and Analytics Specialist with a Master’s degree in Artificial Intelligence and Data Science 🤖📊 from the University of Hull, and an academic foundation in Physics/Electronics ⚡. His career spans key sectors including energy ⚡, media 🎥, and healthcare 🏥, where he employs advanced analytics and machine learning to derive actionable insights. Beyond his professional role, he conducts applied research, notably modeling renewable energy adoption 🌱 and examining dementia prevalence in cancer populations 🧠 using UK Biobank data. His work seamlessly connects industry innovation with impactful research for measurable social progress

🚀 Research & Innovations

Mr. Williams Ossai is actively contributing to impactful applied research projects using machine learning 🤖 and data science 📊. His completed works include predictive modelling for renewable energy adoption in developing countries 🌍⚡, and an enhanced ML approach for forecasting solar energy integration ☀️. Currently, he is exploring the association between physical activity and dementia in cancer populations 🧠🏃‍♂️ using large-scale health data. These interdisciplinary studies bridge environmental sustainability and healthcare analytics. While his citation index is currently at zero, his ongoing projects hold strong potential for academic recognition and real-world application

🔍 Areas of Research

Mr. Williams Ossai’s research spans several high-impact domains at the intersection of technology and society 🌍. His core focus lies in Applied Machine Learning 🤖, where he develops intelligent systems for real-world decision-making. He is deeply engaged in Renewable Energy Analytics ⚡🌱, building predictive models that support sustainable energy transitions. His work in Health Data Science 🧬🏥 leverages big data to improve population health outcomes. Additionally, he specializes in Predictive Modelling for Social Impact 📈💡, using data-driven strategies to solve global challenges. These interdisciplinary areas reflect his commitment to innovation, sustainability, and measurable social progress.

Publication Top Notes

📘 Machine Learning-Based Predictive Modelling of Renewable Energy Adoption in Developing Countries
📘 An Improved Machine Learning Approach for Predicting Solar Energy Adoption in Developing Countries
📘 Exploring the Association Between Physical Activity and Dementia in Cancer Populations

Ali Ihsan Aygun | Energy | Best Researcher Award

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Dr. Ali Ihsan Aygun | Energy | Best Researcher Award

Dr. Ali Ihsan Aygun, Duzce University, Turkey

Dr. Ali Ihsan Aygun is an Assistant Professor at Duzce University, Turkey, specializing in ⚡power systems and smart grids. He earned his PhD in Electrical and Computer Engineering from the University of North Carolina at Charlotte 🇺🇸 with a perfect GPA of 4.00. His research focuses on electric vehicle charging optimization, smart grid control, and energy efficiency 🚗🔋. He has published extensively in prestigious IEEE journals and conferences 📚. Dr. Aygun is proficient in tools like Matlab, Simulink, and Python 🧠💻. His international academic background and impactful innovations make him a leading voice in next-generation energy systems

Publication Profile

Google Scholar

🎓 Education Background

Dr. Ali Ihsan Aygun holds a PhD in Electrical and Computer Engineering from the University of North Carolina at Charlotte 🇺🇸, completed in December 2022 with a perfect GPA of 4.00 🧠. He earned his MS in the same field from George Washington University, Washington DC, in 2018 with a GPA of 3.33 🎓. Prior to that, he began a second MS at Yıldız Technical University 🇹🇷 but chose to pursue international opportunities. He also completed his BSc in Electrical and Electronic Engineering from Yıldız Technical University in 2014, graduating

💼 Professional Experience

Dr. Ali Ihsan Aygun is currently serving as an Assistant Professor at Duzce University 🇹🇷 since February 2022, teaching and researching in Power Systems and Smart Grids ⚡. Previously, he was a Graduate Research Assistant at UNCC 🇺🇸, where he developed smart charging algorithms, hybrid EV routing systems 🚗🔋, and hardware testbeds for microgrid applications. As a Teaching Assistant, he supported courses like Logic and Network Lab and Network Theory 📘. Earlier, he worked as a Project Manager at Heper Moonlight Corp in Istanbul, managing lighting projects using Dialux and AutoCAD

🔬 Research Focus

Dr. Ali Ihsan Aygun’s research is centered on Electric Vehicles (EVs) 🚗🔋, Smart Grids ⚡, and Power System Optimization 📉. His work emphasizes developing intelligent charging algorithms, real-time energy management, and decentralized EV fleet control to enhance grid reliability and operational efficiency 🧠🔌. He is also involved in microgrid technologies, frequency regulation, and dynamic speed optimization within EV infrastructure 🌐⚙️. With contributions to IEEE journals and global conferences, Dr. Aygun focuses on making energy systems more sustainable, scalable, and smart through advanced computational and control methods

Publication Top Notes

📘 Centralized Charging Approach to Manage Electric Vehicle Fleets for Balanced Grid – Cited by: 10 📊 | Year: 2022 📅
📘 Inverter-Angle-Induced Optimized Frequency Regulation Approach for AC–DC Microgrids – Cited by: 7 📊 | Year: 2022 📅
📘 Optimal Hybrid Management of EV Fleet Charging & Load Scheduling – Cited by: 4 📊 | Year: 2024 📅
📘 Two-Stage Optimal EV Charging Methodology with Aggregators – Cited by: 3 📊 | Year: 2024 📅
📘 Optimal Approach to Manage EV Fleets Routing – Cited by: 3 📊 | Year: 2022 📅
📘 ADMM-Based Optimal EV Fleets Charging in Active Distribution Network – Cited by: 2 📊 | Year: 2022 📅
📘 Smart Charging Algorithms for EVs: Addressing Grid Stress – Year: 2024 📅
📘 Distributed Generation Approach with Charging Stations – Year: 2024 📅
📘 Dynamic Speed Optimization for Electric Vehicles – Year: 2024 📅
📘 Optimal Energy Management of Power Grid with EVs & Flexible Loads – Year: 2023 📅

Sheeraz Iqbal | Renewable Energy | Best Researcher Award

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Dr. Sheeraz Iqbal | Renewable Energy | Best Researcher Award

Dr. Sheeraz Iqbal, King Fahd University of Petroleum & Minerals, Dhahran, Saudi Arabia, Saudi Arabia

Dr. Sheeraz Iqbal 🎓 is an Assistant Professor in Electrical Engineering at the University of Azad Jammu and Kashmir, Muzaffarabad 🇵🇰. He earned his Ph.D. from North China Electric Power University, specializing in smart grids and electric vehicles ⚡🚗. Currently a Postdoctoral Fellow at King Fahd University of Petroleum and Minerals, Saudi Arabia 🇸🇦, he leads research on renewable energy, microgrids, and AI-driven energy management 🌞🤖. Dr. Iqbal serves as Chief Editor of the International Journal of Electrical and Electronic Engineering 📝 and supervises innovative projects on EV charging and solar tech ☀️🔋. He has over 1200 citations and active roles in academia and industry liaison.

Publication Profile

Orcid

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🎓 Education Background

Dr. Sheeraz Iqbal completed his Ph.D. in Electrical Engineering from North China Electric Power University, Beijing, China (2017–2020) 🇨🇳. Prior to that, he earned an MS in Electronic Engineering from the International Islamic University, Islamabad, Pakistan (2011–2014) 🇵🇰. His foundational degree is a Bachelor’s in Telecommunication Engineering from the Institute of Engineering and Technology, Allama Iqbal Open University, Islamabad (2006–2010) 📡. He completed his Higher Secondary School Certificate in Computer Science at Govt. Gordon College Rawalpindi (2003–2005) 💻 and attended Secondary School at High School Patola Rawalakot, AJK (2001–2003)

🔬 Research Interests

Dr. Sheeraz Iqbal’s research focuses on modern power systems ⚡ and smart grid/microgrid technologies 🏙️. He explores renewable energy system design 🌱, virtual power plants 🏭, and electric vehicles 🚗, including advanced energy forecasting and modeling 📊. His work includes innovations in Vehicle-to-Grid (V2G) technology 🔄, transactive energy 💹, and demand response mechanisms 📉. Dr. Iqbal is passionate about sustainable and clean energy solutions 🌞, especially solar-powered EV charging stations 🔋. Additionally, he integrates artificial intelligence 🤖 and machine learning 📈 to optimize energy management systems for a smarter and greener future

📘 Teaching, Research & Professional Experience

Dr. Sheeraz Iqbal is currently a Postdoctoral Fellow at the Interdisciplinary Research Center of Sustainable Energy Systems, KFUPM, Saudi Arabia 🏫. He served as Assistant Professor at the University of Azad Jammu and Kashmir 🇵🇰 (2020–2024) and as Lecturer (2014–2017) 🎓. He holds roles as Director of the Industrial Liaison Office 🔗, Technical Coordinator 🎛️, and Focal Person for ORIC 📑. He is Editor-in-Chief of IJEW 📝 and contributes to national curriculum development 📚. Earlier, he gained industry experience with PTCL Islamabad in NGN Switching ⚙️. Dr. Iqbal supervises MS/BS research and chairs key academic committees 🧠

🔍 Research Focus

Dr. Sheeraz Iqbal’s research lies at the intersection of smart grid systems ⚡, electric vehicles (EVs) 🚗🔋, renewable energy integration ☀️, and frequency regulation 📉📈. He specializes in microgrid stability, V2G technology, and AI-based control strategies 🧠💻. His work also addresses virtual power plants, demand response, and solar-based EV charging infrastructure ☀️🔌. He explores energy forecasting, cybersecurity in smart grids 🔐, and machine learning for energy systems 🤖. His research significantly contributes to sustainable energy 🌱 and grid resilience, making him a key figure in the development of clean, intelligent, and future-ready power systems

Publication Top Notes

  • 📊 Adaptive and fuzzy PI controllers for frequency regulation in microgrids with EVs – IEEE Access, 110 citations, 2020

  • ⚡ Virtual synchronous generator control for grid-connected PV – Int. J. Elec. Power & Energy Systems, 108 citations, 2021

  • 🚗 EV integration impacts on power grids: A review – IEEE Conf. on Energy Internet, 107 citations, 2018

  • 🔁 Frequency regulation with EVs & energy storage using adaptive/MPC – IEEE Access, 86 citations, 2021

  • 🔌 EV aggregation for primary frequency control in industrial microgrid – IEEE Access, 86 citations, 2020

  • 🔄 V2G for frequency control in industrial microgrid with station operator – Electronics, 68 citations, 2020

  • ☀️ Solar PV system feasibility at King Abdullah Campus (AJK) – IEEE Access, 65 citations, 2022

  • ⚙️ Modified LAPO for FACTS device allocation – IEEE Access, 47 citations, 2021

  • 📚 Review on EV-to-grid for frequency control in microgrids – IEEE CIEEC, 46 citations, 2018

  • 🧠 ANN-based adaptive droop control for EV battery management – Int. J. Energy Research, 41 citations, 2023

Nedaa Al-Tawalbeh | Renewable energy | Best Researcher Award

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Dr. Nedaa Al-Tawalbeh | Renewable energy | Best Researcher Award

Dr. Nedaa Al-Tawalbeh, Al al-Bayt University, Jordan

Dr. Nedaa Al-Tawalbeh is an Assistant Professor in the Department of Renewable Energy Engineering at Al al-Bayt University, Jordan. 🇯🇴 She holds a Ph.D. in Renewable Energy Engineering from Universiti Putra Malaysia, with expertise in solar energy, photovoltaics, hybrid PV/T systems, and smart grids. ⚡ She has authored multiple high-impact publications and contributes to cutting-edge research in MPPT algorithms and energy optimization. 🧠 Fluent in Arabic and English, she also excels in tools like MATLAB, Simulink, and DSP programming. ✨

Publication Profile

Scopus

Orcid

🎓 Academic Qualifications

Dr. Nedaa Al-Tawalbeh holds a Ph.D. in Renewable Energy Engineering–Solar Energy (2019–2022) from Universiti Putra Malaysia, where she specialized in photovoltaic systems and developed her thesis on advanced maximum power point tracking techniques using modified, hybrid, and trapezoidal rule approaches ⚡🔋. She earned her Master’s degree in Electrical Engineering (2014–2016) from Princess Sumaya University for Technology (PSUT), Amman, Jordan, and completed her Bachelor’s degree in Electronics Engineering (2006–2011) from Yarmouk University, Hijjawi Faculty for Engineering 🔌📘. Her academic journey reflects strong expertise in solar and sustainable energy technologies

💼 Employment History

Dr. Nedaa Al-Tawalbeh is currently serving as an Assistant Professor at Al al-Bayt University in the Department of Renewable and Sustainable Energy (2022–present) 🏫🔋. From 2019 to 2022, she worked as a researcher at the Advanced Lightning, Power and Energy Research (ALPER) Centre, Universiti Putra Malaysia, contributing to cutting-edge renewable energy projects ⚡🔬. Earlier, she served as a Teaching Assistant in the Electrical Engineering Department at Princess Sumaya University (2014–2016), supporting academic development in engineering education 📘👩‍🏫. She is fluent in both Arabic (native) and English 🌐🗣️, enabling effective communication in diverse academic and research environments.

🛠️ Technical Skills

Dr. Nedaa Al-Tawalbeh possesses a robust set of technical skills in electronics, programming, and renewable energy systems ⚙️💡. She is an expert in Texas Instrument (TMS320F28335) and Arduino DSPs 🔧📟. Her software expertise includes Code Composer Studio, MATLAB, Simulink, and renewable energy tools 🖥️📊. She is proficient in Cadence, Synopsis, and HSPICE tools for circuit design and analysis, along with PCB design and simulation software such as Proteus and Fritzing 🔬🔌. Additionally, she is skilled in LaTeX, BibTeX, Microsoft Office, Mathematica, Maple, and C++ programming 💾🧠, making her a versatile engineer in both hardware and software domains.

🔬 Research Focus

Dr. Nedaa Al-Tawalbeh’s research primarily centers on renewable energy systems, particularly solar photovoltaic (PV) technologies ☀️🔋. Her expertise includes maximum power point tracking (MPPT) algorithms, hybrid PV-thermoelectric systems, and adaptive control techniques for energy optimization ⚡📈. She also explores smart grid reliability, electricity theft detection using AI, and processor-in-loop testing for energy systems 🧠💡. With significant contributions to power electronics, energy conversion, and intelligent controllers, Dr. Al-Tawalbeh bridges hardware implementation with AI-driven solutions for sustainable energy applications 🌍🔌. Her interdisciplinary work spans engineering, sustainability, and smart energy systems

Conclusion

Dr. Nedaa Al-Tawalbeh is a highly qualified and impactful researcher in the field of renewable and sustainable energy, particularly in solar and photovoltaic systems. Her academic background, robust publication record, technical skills, and international collaborations make her a strong and deserving nominee for the Research for Best Researcher Award. Her work not only advances scientific understanding but also contributes toward global efforts in clean and efficient energy utilization.

Publication Top Notes

📄 Maximizing energy harvesting in grid‐connected hybrid PV and TEG systems – Environmental Progress & Sustainable Energy 📅 2025 🔗 [DOI:10.1002/ep.14621] 📑 Cited by: pending

📄 Novel initialization strategy for global MPPT optimization – Results in Engineering 📅 2024 🔗 [DOI:10.1016/j.rineng.2024.102067] 📑 Cited by: Scopus-indexed

📄 Intelligent Runge Kutta control for thermoelectric power – Energy Conversion and Management: X 📅 2024 🔗 [DOI:10.1016/j.ecmx.2024.100612] 📑 Cited by: pending

📄 Federated learning model for electricity theft detection – Energy Reports 📅 2023 🔗 [DOI:10.1016/j.egyr.2023.09.100] 📑 Cited by: Scopus-indexed

📄 Trapezoidal rule-based MPPT algorithm – Energy Conversion and Management 📅 2022 🔗 [DOI:10.1016/j.enconman.2022.115738] 📑 Cited by: Scopus-indexed

📄 Trapezoidal MPPT under complex shading – PECon 2020 Conference 📅 2020 🔗 [DOI:10.1109/PECon48942.2020.9314467] 📑 Cited by: Scopus-indexed

📄 Hybrid approach for PV power extraction – Sustainability 📅 2020 🔗 [DOI:10.3390/su12145786] 📑 Cited by: 90+

📄 Enhanced adaptive P&O technique for MPPT – Applied Sciences 📅 2020 🔗 [DOI:10.3390/app10113912] 📑 Cited by: 60+

📄 Small-signal gain in CMOS analog amplifier – ICM Conference 📅 2016 🔗 [DOI:10.1109/ICM.2015.7437993] 📑 Cited by: 5+

Maria Carmen Asensio | Energy | Women Researcher Award

Published on by Global Academic Awards

Prof. Maria Carmen Asensio | Energy | Women Researcher Award

Prof. Maria Carmen Asensio, Materials Science Institute of Madrid – CSIC, Spain

Prof. Maria Carmen Asensio is a leading solid-state physicist and Permanent Research Staff at the Institute of Material Science of Madrid (ICMM-CSIC), Spain. She is the co-founder of the Research Associated Unit MATINÉE and a global expert in synchrotron radiation techniques. Her innovations include the development of the nanoARPES technique for chemical and electronic imaging. With over 265 publications and more than 11,500 citations, she is recognized internationally for her contributions to condensed matter physics. Her collaborative work spans multiple prestigious institutions across Europe, and she plays key roles in scientific leadership, editorial boards, and European research evaluation panels. 🌍📚

Publication Profile

Orcid

Google Scholar

🎓 Education

Prof. Asensio began her academic journey in Argentina, where she earned her foundational degrees in physics. She further advanced her academic career in Europe, undertaking postdoctoral research at the University of Warwick (UK) and the Fritz Haber Institute of the Max Planck Society (Germany). Her interdisciplinary training across premier European laboratories solidified her expertise in spectroscopic methods and materials science. This diverse academic foundation equipped her with the skills to pioneer advanced techniques in synchrotron-based photoemission and solid-state physics, culminating in significant contributions to the electronic structure of novel materials. 🎓🇦🇷🇬🇧🇩🇪

💼 Experience

Prof. Asensio has held prestigious roles including Senior Lecturer at the Autonomous University of Madrid, and postdoctoral fellow at Warwick and the Fritz Haber Institute. Since 1992, she has been a senior member of the GREENER group at ICMM-CSIC, Spain. She has directed major European research projects, chaired the IUVSTA Surface Science Division since 2016, and served as Scientific Director of IUVSTA from 2004 to 2007. As an evaluator for the European Research Council (ERC) and editorial board member of several journals, she has contributed significantly to research governance and scientific development across Europe. 🧪🌐

🏆 Awards and Honors

Prof. Asensio has received six SEXENIOS (Exceptional Productivity Supplements) from the Spanish Government in recognition of sustained research excellence. She was elected Scientific Director of IUVSTA and currently chairs its Surface Science Division. She has supervised numerous award-winning PhD theses and postdoctoral researchers supported by prestigious programs like Marie Curie and CNRS. Her impactful publication on silicene alone has over 3600 citations. Her continuous recognition by institutions like the ERC and international journals underscores her global scientific influence and the pioneering quality of her work in photoemission and advanced materials. 🥇🔖

🧪 Research Focus

Prof. Asensio’s research centers on the electronic and structural characterization of advanced materials using synchrotron radiation techniques such as ARPES, SR-PES, and XAS. Her groundbreaking work in developing nanoARPES allows for nanoscale chemical and electronic imaging. She investigates Fermi surface topology, low-dimensional materials, and electronic instabilities at surfaces and interfaces. Her studies have advanced understanding of graphene, silicene, and other 2D systems, making her a global leader in condensed matter physics and spectroscopic innovation. Her work bridges fundamental physics with instrumentation development for next-generation materials. 🔬📡📊

Publication Top Notes

📖 Silicene: compelling experimental evidence for graphenelike two-dimensional silicon 🔢 4280 📅 2012
📖 Band Alignment and Minigaps in Monolayer MoS₂-Graphene van der Waals Heterostructures 🔢 366 📅 2016
📖 Towards high quality CVD graphene growth and transfer 🔢 339 📅 2015
📖 Quasicrystalline 30° twisted bilayer graphene as an incommensurate superlattice 🔢 245 📅 2018
📖 Evidence of Dirac fermions in multilayer silicene 🔢 233 📅 2013
📖 Black arsenic: a layered semiconductor with extreme in‐plane anisotropy 🔢 232 📅 2018
📖 Topology of the Pseudogap and Shadow Bands in cuprates at optimum doping 🔢 231 📅 1997
📖 Dynamical fluctuations as the origin of a surface phase transition in Sn/Ge(111) 🔢 221 📅 1999
📖 Direct Observation of Interlayer Hybridization in Graphene/MoS₂ heterostructures 🔢 204 📅 2015
📖 Charge Density Wave State Suppresses Ferromagnetic Ordering in VSe₂ Monolayers 🔢 189 📅 2019
📖 Self-aligned silicon quantum wires on Ag(110) 🔢 180 📅 2005
📖 Polycrystalline graphene with single crystalline electronic structure 🔢 176 📅 2014
📖 Observation of a 2D liquid of Fröhlich polarons at SrTiO₃ surface 🔢 172 📅 2015
📖 Chitosan-coated MIL-100(Fe) nanoparticles as bio-compatible nanocarriers 🔢 162 📅 2017

Tingwei Zhou | Energy | Best Researcher Award

Published on by Global Academic Awards

Prof. Tingwei Zhou | Energy | Best Researcher Award

Prof. Tingwei Zhou, Southwest University, China

Prof. Tingwei Zhou (周廷伟), born in February 1988, is an Associate Professor at the School of Physical Science and Technology, Southwest University, China. A member of the Communist Party, he specializes in theoretical research on material design, optoelectronic device performance, and quantum entanglement, often combining artificial intelligence with physical chemistry. With over 27 SCI papers and an H-index of 18, his work has significantly advanced the understanding of superatomic perovskites. He actively contributes to teaching, high-performance computing infrastructure, and peer-review processes for renowned journals. He is passionate about scientific exploration, education, and interdisciplinary collaboration.

Publication Profile

Scopus

🎓 Education

Prof. Zhou earned his PhD in Optical Engineering from Chongqing University (2016–2019), focusing on the frontier of superatomic materials. He obtained his MSc in Theoretical Physics from Southwest University (2013–2016), where he began his exploration of computational modeling and material theory. His undergraduate degree in Physics was completed at Zunyi Normal College (2009–2013). With a solid educational foundation in both theoretical and applied physics, his academic journey reflects a deep interest in quantum mechanics, materials science, and interdisciplinary research, forming the basis of his innovative approach to perovskite material studies and quantum phenomena. 🧪📚

🧑‍🏫 Experience

Since 2023, Prof. Zhou has served as an Associate Professor at Southwest University, where he previously held a Lecturer position (2019–2023). He has taught core subjects including computational physics, electrodynamics, and linear algebra, with experience in online, offline, and hybrid modes. Zhou has guided numerous undergraduates and postgraduates in research, thesis writing, and publishing. He also built and now manages a high-performance computing lab supporting theoretical modeling. Beyond teaching, he contributes to academic administration, graduate admissions, and collaborative research across physics and engineering disciplines. His experience showcases strong innovation, mentorship, and institutional service. 💻🧑‍🎓

🔬 Research Focus

Prof. Zhou’s research focuses on the design and performance evaluation of superatomic and perovskite materials for applications in energy, optoelectronics, and catalysis. He explores properties like crystal structure, adsorption energy, charge density, and activation energy using first-principles simulations. His interests extend to quantum entanglement theory and integrating artificial intelligence into physical chemistry. He also pioneers theoretical frameworks linking category theory to quantum physics. His published work in top-tier journals highlights advances in device efficiency, defect engineering, and stability mechanisms in functional materials. His cross-disciplinary approach pushes the boundaries of theoretical materials science and quantum innovation. ⚛️🧠💡

Publication Top Notes

📘 Coherence Programming for Efficient Linearly Polarized Perovskite Light-Emitting Diodes – Xiao, M.; Yang, J.; Zhang, W.; Wang, J.; Chen, P. – ACS Nano, 2024 – 📈 Cited by: 1

🌞 Facile Surface Regulation for Highly Efficient and Thermally Stable Perovskite Solar Cells via Chlormequat Chloride – Yang, B.; Lin, P.; Zhou, T.; Cai, B.; Zhang, W. – Chinese Chemical Letters, 2024

🌿 Facile and Sustainable Interface Modulation via a Self-Assembly Phosphonate Molecule for Efficient and Stable Perovskite Photovoltaics – Yang, B.; Cai, B.; Zhou, T.; Zheng, X.; Zhang, W. – Chemical Engineering Journal, 2024 – 🔟 Cited by: 10

🔬 A Construction Method of the Wave–Particle Entanglement State of the Particle System – Zhou, T. – Modern Physics Letters B, 2024