Muhammad Sohaib Tahir | Renewable Energy | Best Researcher Award

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.

Prof. Tian Tian | Renewable Energy | Best Researcher Award

Prof. Tian Tian | Renewable Energy | Best Researcher Award

Prof. Tian Tian, Yangzhou University, China

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

🌍 Professional Profile:

Orcid

🏆 Suitability for Best Researcher Award 

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

📚 Education

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

👨‍🏫 Experience 

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

🏅 Awards & Honors 

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

🔬 Research Focus 

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

📊 Publication Top Notes:

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

    • Year: 2024

  2. Advancing Perspectives on Large-Area Perovskite Luminescent Films

    • Year: 2024

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

    • Year: 2023

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

    • Year: 2024

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

    • Year: 2023

 

 

Mr. Nuwahereza Nelson | Sustainable Technology | Best Researcher Award

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

 

Teshome Lindi Kumissa | power systems | Best Researcher Award

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., EnergiesElectricity).
  • 🌱 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. Milada Pezo | Materials | Best Researcher Award

Dr. Milada Pezo | Materials | Best Researcher Award

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

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

Professional Profile

scopus

orcid

google scholar

Suitability for the Best Researcher Award

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

🎓    Education 

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

💼     Experience

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

🏅 Awards and Honors 

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

🌍   Research Focus 

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

 📖 Publication Top Notes

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