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.

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.