Blessing Ayegba | Clean Energy | Research Excellence Award

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Ms. Blessing Ayegba | Clean Energy | Research Excellence Award 

Concordia University | Canada

Blessing Ayegba is a Ph.D. candidate specializing in building energy flexibility, grid-integrated systems, and indoor thermal comfort. Her research focuses on developing scalable, occupant-centered control strategies that enhance energy efficiency while maintaining comfort in buildings. She has contributed to advancing Building Energy Flexibility Indicators and demonstrated practical solutions for reducing peak energy demand through optimized temperature control. Her scholarly impact includes 35 citations, with an h-index of 1 and an i10-index of 1, reflecting emerging influence in the field. Her work integrates renewable energy, storage, and smart systems, supporting resilient and sustainable power grids worldwide.

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Ashiq Bhat | Energy Sustainability | Research Excellence Award

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Mr. Ashiq Bhat | Energy Sustainability | Research Excellence Award

Thapar Institute of Engineering and Technology | India

Ashiq Nazir Bhat is a researcher, educator, and full-stack developer specializing in energy systems, artificial intelligence, and federated learning. He has extensive teaching experience in computer science and has contributed to advanced courses in data science, conversational AI, and predictive analytics. His research focuses on vehicle-to-grid energy optimization, privacy-preserving machine learning, and explainable AI. He has developed smart energy systems, real-time monitoring platforms, and secure web applications. Proficient in multiple programming languages and cloud technologies, he actively contributes to research publications, conferences, and peer review, demonstrating strong expertise in both academic research and practical technology development.

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Getahun Ayele Tessema | Energy Sustainability | Best Researcher Award

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Mr. Getahun Ayele Tessema | Energy Sustainability | Best Researcher Award

Mr. Getahun Ayele Tessema | Indian Institute of Technology Roorkee (IITR) | India

Getahun Ayele Tessema is an emerging researcher and PhD Candidate at the Indian Institute of Technology Roorkee (IITR), specializing in energy efficiency and sustainable built environments. He holds a B.Tech and Master’s degree with distinction and previously served as a Lecturer at Adama Science and Technology University, where he earned the Best Teacher Award for his academic excellence. Currently supported by the prestigious ICCR Africa PhD Scholarship from the Government of India, he continues to advance impactful research in the Built Environment Lab at IIT Roorkee. His academic and professional journey reflects consistent excellence, with active engagement in research, teaching, and community-oriented scientific contributions. He has completed or is working on five research projects, published two journal papers, and maintains a growing citation record accessible through Google Scholar. His collaborative work spans international and institutional partnerships, and he holds memberships in two professional organizations aligned with his research areas. Getahun’s research focuses on energy-efficient buildings, energy modelling, energy-use behaviour, and energy analysis. His contributions offer significant insights into the determinants of household energy-saving behaviour in Ethiopian urban settings. By integrating personal norms with the Theory of Planned Behaviour, he has developed a comprehensive framework that helps understand and influence energy-conscious behaviour. This work supports the development of national energy conservation strategies and provides a scientific basis for formulating building energy codes—an urgent need for sustainable urban growth in Ethiopia. His findings aim to guide policymakers, enhance occupant awareness, and contribute to cleaner energy access through practical, community-responsive solutions. Through his multidisciplinary research, academic leadership, and commitment to sustainable development, Getahun exemplifies innovation, scholarly excellence, and societal impact. His work aligns strongly with the vision of promoting energy-efficient built environments and positions him as a strong candidate for the Best Researcher Award.

Profile: Google Scholar

Featured Publications

Tessema, G. A., Chani, P. S., & Rajasekar, E. (2025). Analysis of residential electricity consumption in Ethiopian condominiums: Leveraging cluster analysis for targeted electrification interventions. In 2025 IEEE 13th International Conference on Smart Energy Grid Engineering (SEGE). IEEE.

Tessema, G. A., Chani, P. S., & Rajasekar, E. (2025). Modelling energy-saving behaviour in Ethiopian urban households: Integrating personal norms and demographic moderators to the theory of planned behaviour. Energy and Buildings, —, 116709.

Mahdi Salehi | Energy Sustainability | Editorial Board Member

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Prof. Dr. Mahdi Salehi | Energy Sustainability | Editorial Board Member

Prof. Dr. Mahdi Salehi | Ferdowsi University of Mashhad | Iran

Dr. Mahdi Salehi is a highly respected Professor of Accounting at Ferdowsi University of Mashhad, known for his extensive scholarly contributions to the fields of auditing, financial management, and corporate governance. Born in Hidaj City, Zanjan Province, he has established a strong academic presence through a combination of rigorous research, influential teaching, and active engagement in the professional accounting community. Dr. Salehi’s academic background includes degrees in business management, financial management, and accounting. His early academic work explored the role of financial intermediaries in supporting companies listed on the Tehran Stock Exchange, while his doctoral research examined the corporate audit expectation gap in Iran. These foundational studies helped shape his research trajectory and continue to inform his scholarly outlook. His research interests encompass financial management, ownership structure, auditing, banking, corporate governance, and capital markets. He has authored an extensive body of publications in well-regarded refereed and indexed journals. His work addresses key issues such as audit expectations, audit independence, fraud detection, capital market behavior, financial distress prediction, customer satisfaction in banking and insurance, and the relationship between corporate governance structures and organizational performance. Dr. Salehi’s research often focuses on emerging markets, offering valuable insights into the dynamics of financial systems, regulatory environments, and organizational behavior. His comparative studies—particularly those examining audit practices across different countries—have contributed to a deeper global understanding of audit quality and stakeholder expectations. He is fluent in English, Farsi, and Turkish, enabling him to collaborate widely and contribute to international academic dialogue. With active profiles on major scholarly platforms such as Google Scholar and Scopus, Dr. Salehi is recognized for the reach and impact of his research. Through continuous publication, academic leadership, and engagement with diverse research themes, he has become a prominent and influential voice in the field of accounting.

Profile: Google scholar

Featured Publications

Salehi, M., & Rostami, V., & Mogadam, A. (2010). Usefulness of accounting information system in emerging economy: Empirical evidence of Iran. International Journal of Economics and Finance, 2(2), 186–195.

Salehi, M., & Alipour, M. (2010). E-banking in emerging economy: Empirical evidence of Iran. International Journal of Economics and Finance, 2(1), 201–209.

Alipour, M., Salehi, M., & Shahnavaz, A. (2009). A study of on the job training effectiveness: Empirical evidence of Iran. International Journal of Business and Management, 4(11), 63–68.

Hemmatfar, M., Salehi, M., & Bayat, M. (2010). Competitive advantages and strategic information systems. International Journal of Business and Management, 5(7), 158–168.

Salehi, M., Fakhri Mahmoudi, M. R., & Daemi Gah, A. (2019). A meta-analysis approach for determinants of effective factors on audit quality: Evidence from emerging market. Journal of Accounting in Emerging Economies, 9(2), 287–312.

Wahad Rahman | Energy Sustainability | Best Researcher Award

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Mr. Wahad Rahman | Energy Sustainability | Best Researcher Award

Mr. Wahad Rahman | University of Engineering and Technology Peshawar | Pakistan

A highly skilled engineering professional with extensive experience in mechatronics, renewable energy systems, additive manufacturing, and Internet of Things (IoT) technologies. With a strong academic foundation including advanced research in hybrid energy harvesting systems, this expert has contributed significantly to cutting-edge developments in sustainable power solutions for sensor networks and pipeline monitoring applications. Current work in additive manufacturing and reverse engineering involves leading research and development initiatives, operating advanced 3D printing technologies (FDM, SLA), managing high-precision 3D scanning, and conducting specialized training programs. This blends practical engineering with innovation-driven problem-solving across industrial and applied research environments. Previously, research contributions in sensor and energy harvesting systems included the design and development of micro Kaplan and Crossflow turbines, IoT-based pipeline monitoring solutions, energy-efficient wireless sensor nodes, and experimental setups for testing hybrid energy harvesters. These projects demonstrate strong proficiency in mechanical design, simulation, prototyping, and system integration. With several years of experience in academia, this professional has taught undergraduate theory and laboratory courses in mechanics of materials, fluid mechanics, robotics, and engineering software tools such as MATLAB and SolidWorks. Extensive involvement in STEM capacity-building programs further highlights commitment to engineering education and technology dissemination. Research expertise spans renewable energy, hybrid and flow-based energy harvesting, control systems, self-powered systems, power management circuits, wireless sensors, and IoT technologies. Published work includes multiple journal articles in reputable international outlets focusing on piezoelectric, electromagnetic, and hybrid energy harvesters, turbine modeling, RF energy harvesting, and sensor network applications. Professional development includes specialized training in IoT, Arduino, Raspberry Pi, MATLAB, image processing, robotics, content writing, and digital marketing, demonstrating a broad multidisciplinary skillset. Overall, this profile reflects a dynamic researcher and engineer dedicated to advancing sustainable energy solutions, intelligent monitoring systems, and modern manufacturing technologies.

Profiles: Orcid | LinkedIn | Google Scholar

Featured Publications

Rahman, W. U., & Khan, F. U. (2025). A hybrid flow energy harvester to power an IoT-based wireless sensor system for the digitization and monitoring of pipeline networks. Machines, 13(11). https://doi.org/10.3390/machines13111025

Rahman, W. U., & Khan, F. U. (2025). An integrated fluid flow and solar hybrid energy harvester for pipeline monitoring system. AIP Advances. https://doi.org/10.1063/5.0284001

Rahman, W. U., & Khan, F. U. (2025). A survey of flow-based energy harvesters for powering sustainable wireless sensor nodes. Journal of Renewable and Sustainable Energy. https://doi.org/10.1063/5.0237597

Rahman, W. U., & Khan, F. U. (2023). A hybrid flow energy harvester using combined piezoelectric and electromagnetic transductions for pipeline network monitoring. Journal of Intelligent Material Systems and Structures. https://doi.org/10.1177/1045389X221147647

Xue Li | Energy Sustainability | Best Researcher Award

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Ms. Xue Li | Energy Sustainability | Best Researcher Award

Ms. Xue Li | Wuhan Institute of Technology | China

Dr. Li Xue received her Ph.D. in Thermal Engineering from Dalian University of Technology in 2021. She is currently a faculty member at the School of Optical Information and Energy Engineering, Wuhan Institute of Technology. Her core research focuses on the near-wall collisions of microscale particles and the fundamentals of particle dynamics. She investigates how microscale interactions influence fluid flow, heat transfer, and energy conversion processes. Her studies contribute to advancing knowledge in microfluidics, aerosol science, and particulate system behavior. By integrating theoretical modeling with experimental validation, she addresses key challenges in microscale transport phenomena. Her work aims to improve the design of energy systems with higher efficiency and better control of particle interactions. She is also interested in the application of microscale particle research in thermal management and engineering systems. Through her academic contributions, she supports interdisciplinary advancements bridging thermal engineering and energy science. Dr. Xue continues to expand her research portfolio while mentoring students in innovative areas of energy and particle engineering.

Profile: Orcid

Featured Publications

Li, X., Xie, J., Dong, M., Chen, S., & Dong, W. (2024). Could the rebound characteristics of oblique impact for SiO₂ particles represent the ash particles? ACS Omega, 9(9), 10564–10574.

Li, X., Dong, M., Zhang, H., Li, S., & Shang, Y. (2020). Effect of surface roughness on capillary force during particle-wall impaction under different humidity conditions. Powder Technology, 369, 253–261.

Li, X., Dong, M., Jiang, D., Li, S., & Shang, Y. (2020). The effect of surface roughness on normal restitution coefficient, adhesion force and friction coefficient of the particle-wall collision. Powder Technology, 361, 311–320.

Li, X., Dong, M., Li, S., & Shang, Y. (2019). Experimental and theoretical studies of the relationship between dry and humid normal restitution coefficients. Journal of Aerosol Science, 130, 67–76.

Dong, M., Mei, Y., Li, X., Shang, Y., & Li, S. (2018). Experimental measurement of the normal coefficient of restitution of micro-particles impacting on plate surface in different humidity. Powder Technology, 334, 52–60.

Dong, M., Li, X., Mei, Y., & Li, S. (2018). Experimental and theoretical analyses on the effect of physical properties and humidity of fly ash impacting on a flat surface. Journal of Aerosol Science, 117, 121–131.

Asif Khan | Clean Energy | Best Researcher Award

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Dr. Asif Khan | Clean Energy | Best Researcher Award 

Dr. Asif Khan | University of Science and Technology Bannu kpk | Pakistan

Asif Nawaz Khan is a committed physicist and lecturer at the University of Science and Technology Bannu, with extensive experience in teaching and research at both undergraduate and postgraduate levels. He is currently pursuing a Ph.D. in Physics and has developed strong expertise in computational and theoretical physics, particularly in the design and analysis of 2D and 3D perovskite materials. His research encompasses structural, optical, thermoelectric, elastic, and thermodynamic properties, alongside solar cell device performance, phonon calculations, and molecular dynamics simulations. Proficient in advanced simulation software and machine learning techniques, he actively supervises students in both experiments and computational modeling, contributing significantly to the advancement of materials science.

Profile: Google Scholar

Featured Publications

Khan, A., Khan, N. U., Nawaz, A., & Ullah, K., & Manan, A. (2024). A DFT study to explore structural, electronic, optical and mechanical properties of lead-free Na2MoXO6 (X= Si, Ge, Sn) double perovskites for photovoltaic and optoelectronic applications. Computational and Theoretical Chemistry, 1240, 114834.

Hosen, A., Mousa, A. A., Nemati-Kande, E., Khan, A. N., Abu-Jafar, M. S., … (2025). Systematic computational screening and design of double perovskites Q2LiMH6 (Q= K, Rb; M= Ga, In, Tl) for efficient hydrogen storage: A DFT and AIMD approach. Surfaces and Interfaces, 106608.

Khan, A. N., Rabhi, S., Jehangir, M. A., Charif, R., Khan, N. U., Begagra, A., … (2025). Evaluating A2SrGeI6 (A= K and Rb) lead-free double perovskites: Structural, elastic, and optoelectronic insights for clean energy. Inorganic Chemistry Communications, 174, 113949.

Khan, N. U., Ghani, U., Khan, A., Khan, A. N., Ullah, K., Ali, R., & Fadhali, M. M. (2025). Theoretical insight into stabilities and optoelectronic properties of RbZnX3 (X= Cl, Br) halide perovskites for energy conversion applications. Optical and Quantum Electronics, 57(1), 109.

Rabhi, S., Khan, A. N., Chinoune, O., Charif, R., Bouri, N., Al-Qaisi, S., Sadaf, S., … (2025). Insight into NaSiCl3: A lead-free perovskite for the next generation revealed by DFT and SCAPS-1D. Physical Chemistry Chemical Physics, 27(25), 13490–13507.

Hosen, A., Sadeghi, A., Abdulhussein, H. A., Nemati-Kande, E., Khan, A. N., … (2025). First-principles insights into NaScQH6 (Q= Fe, Ru, Os): Promising high-density hydrogen storage materials. International Journal of Hydrogen Energy, 177, 151392.

Khan, A. N., Khan, N. U., Khan, A., Ali, R., & Fadhali, M. M. (2025). Lead-free, stable, and effective double Ca2TiXO6 (X= Ge, Sn) perovskites for photovoltaic application. Journal of Sol-Gel Science and Technology, 1–13.

Khan, A. N., Kaleem, M., Khan, N. U., Nasir, A., Khan, A., & Abbasi, M. Z. (2026). Multi-functional DFT and SCAPS-1D analysis of lead-free Z2MgGeI6 (Z= Na, K) double perovskites for optoelectronic, photo-catalytic, and photovoltaic applications. Solar Energy Materials and Solar Cells, 294, 113922.

Khan, A. N., Khan, N. U., Kaleem, M., Tanzeel, M., Nasir, A., Hosen, A., Akremi, A., … (2025). Lead-free X2MgGeI6 (X= Rb, Cs) double perovskites for multi-functional energy applications: A DFT and SCAPS-1D perspective. Solid State Sciences, 108049.

Khan, Z., Manan, A., Khan, N. U., Khan, A. N., Khan, A., & Liu, G., … (2025). Exploring Sn-based vacancy-ordered halide double perovskites Na2Sn(Cl/Br)6 for optoelectronic, thermoelectric, and solar-driven hydrogen reduction applications. Chemical Papers, 1–21.

Khan, Z., Manan, A., Khan, N. U., Khan, A. N., Khan, A., Joifullah, S., Al Yeamin, M., … (2025). DFT-driven pressure-induced modulation in K2TIYCl6: Unlocking pressure-responsive physical and photo-catalytic properties. Optical and Quantum Electronics, 57(7), 1–32.