Sandeep Jain | Engineering | Editorial Board Member

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Dr. Sandeep Jain | Engineering | Editorial Board Member 

Sungkyunkwan University, Republic of Korea | India

Dr. Sandeep Jain is an emerging researcher in metallurgical engineering and materials science, recognized for his strong academic record and diverse research experience across leading institutions in India and South Korea. His scholarly contributions reflect consistent growth, supported by 339 citations, 29 documents, and an h-index of 14, demonstrating both productivity and influence in the fields of alloy design, high-temperature materials, and computational materials engineering. His research spans multicomponent alloy development, high-entropy alloys, solidification simulation, and machine-learning-driven materials design, contributing to advanced structural and lightweight alloy systems. As a Postdoctoral Researcher at Sungkyunkwan University, he focuses on designing lightweight multicomponent alloys through machine-learning predictions of mechanical properties and optimizing injection-molding parameters using integrated simulation tools. His previous roles at IIT Delhi and IIT Indore strengthened his expertise in EBSD, XRD, creep behavior studies, solidification simulation, and alloy design through integrated computational approaches. With extensive teaching experience, he has assisted in courses on material science, solidification, computational modeling, mechanical workshop practices, and physical metallurgy, reflecting a strong commitment to academic mentorship. Dr. Jain has presented his work at multiple international conferences in India and abroad, and has actively contributed to academic workshops, cultural events, and technical festivals. His research interests include alloy development for high-strength and high-temperature applications, machine-learning-based materials design, high-entropy alloys, additive manufacturing, and advanced materials characterization. Driven by a passion for innovation and interdisciplinary collaboration, he aims to pursue impactful research as a Postdoctoral Fellow or Assistant Professor in a globally competitive academic environment.

Profile: Scopus  | Orcid

Featured Publications 

Jain, S., Jain, R., Saxena, N. V., Bux, S., Mourya, R. S., Lee, J., Han, H., Bhowmik, A., & Park, N. (2026). Predicting the magnetic behaviour of CoFeNi high entropy alloys: Reducing experimental dependency through machine learning approaches. Materials Letters.

Jain, S., Wagri, N. K., Arya, M., Bhowmik, A., & Park, N. (2025). Predicting the magnetic behaviour of homogenized CoCrFeNiAlx high entropy alloys at different aluminium content and temperatures: Reducing experimental dependency through machine learning approaches. Materials Chemistry and Physics.

Asmaa M. Hassan | Engineering | Best Researcher Award

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Assoc. Prof. Dr. Asmaa M. Hassan | Engineering | Best Researcher Award

Port Said University Faculty of Engineering | Egypt

Dr. Asmaa Mohammed Hassan is an accomplished Associate Professor and Head of the Department of Architectural Engineering at Buraydah Colleges, Saudi Arabia, with over years of academic and research experience. Her scholarly contributions span urban morphology, passive design strategies, and sustainable architectural development. She has authored over 23 research documents published in prestigious Q1 journals, including Building and Environment, Energy and Buildings, and Renewable and Sustainable Energy Reviews. Dr. Hassan holds an impressive Scopus h-index of 11 with 395 citations, reflecting the high impact and recognition of her research. Her academic excellence has been acknowledged through multiple honors, including “Scientific Distinction” and recognition as a distinguished researcher for international publishing in Q1 journals. Beyond publications, she actively contributes as a peer reviewer for more than 27 international journals and has participated in interdisciplinary research projects promoting urban governance and sustainability. Her dedication to advancing architectural education and her leadership in integrating technology and sustainability into design underscore her influence in shaping resilient and sustainable urban environments globally.

Profile: Scopus | Orcid

Featured Publications

Adel, R., Megahed, N., Hassan, A. M. M., & Shahda, M. (2023). Evolution of the courtyard to the skycourt: A bibliometric analysis of research trends. International Journal of Building Pathology and Adaptation. Advance online publication.

 

Bo Hu | Engineering | Best Researcher Award

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Prof. Bo Hu | Engineering | Best Researcher Award

Professor, Doctoral Supervisor, School of Electrical Engineering, Chongqing University,  China.

Bo Hu, a professor and doctoral supervisor at Chongqing University’s School of Electrical Engineering, is an accomplished researcher with substantial contributions to power system planning and reliability. He holds over 100 published papers, 182 patents, and multiple prestigious awards, including the National Electric Power Science and Technology Progress Award. Bo Hu’s research, focusing on high-proportion renewable energy, has been supported by notable projects funded by the National Natural Science Foundation of China. An IEEE senior member and associate editor for IEEE Transactions on Power Systems, his work integrates advanced methodologies, such as artificial intelligence, significantly impacting energy systems and reliability standards.

Profile : 

 

Education Background : 

Bo Hu completed his education at Chongqing University, where he earned his Ph.D. in engineering in 2010. He demonstrated remarkable academic dedication, achieving rapid progression within the institution. In 2012, he was appointed as an associate professor, and by 2018, he attained the title of full professor. His educational foundation in engineering laid the groundwork for his expertise in power systems and reliability engineering, areas where he has made significant contributions. As a doctoral supervisor, he continues to foster academic growth in his field, influencing the next generation of researchers at Chongqing University with his comprehensive knowledge and experience.

 

Professional Experiences :

Bo Hu, a distinguished professor and doctoral supervisor at Chongqing University, has made significant contributions to the field of electrical engineering over his extensive career. Since his Ph.D. completion in 2010, he has progressed rapidly, becoming an associate professor by 2012 and a full professor by 2018. Currently, he serves as a senior member of IEEE, holds committee positions in the Chinese Society for Electrical Engineering, and contributes as an associate editor for IEEE Transactions on Power Systems. His expertise spans power system reliability, energy planning, and grid optimization, making him a recognized authority and impactful leader in his field.

Research and Innovations :

Bo Hu has completed three substantial research projects and contributes to projects funded by the National Natural Science Foundation of China and State Grid Corporation. His citation index of 779 and numerous patents (182) further illustrate his impactful contributions to power system reliability and energy solutions. Additionally, his involvement in consultancy projects showcases his practical and theoretical applications.

Research Impact and Contributions : 

Bo Hu has made significant contributions to power and energy systems, with a particular focus on reliability, system analysis, and renewable integration. He has authored over 100 papers in leading journals such as IEEE Transactions, advancing knowledge in fields like AI and big data applications in energy. His expertise has earned him prestigious awards, including the National Electric Power Science and Technology Progress Award and Chongqing’s Natural Science First Prize. Leading three National Natural Science Foundation projects and over 30 interdisciplinary initiatives, Bo’s work continues to drive innovations in energy reliability, enhancing both academic understanding and industry practices.

Award And Honor :

Bo Hu has been widely recognized for his significant contributions to electrical engineering and power systems. He has received prestigious accolades such as the National Electric Power Science and Technology Progress Award and Chongqing’s Natural Science First Prize, as well as the Science and Technology Progress First Prize. These awards honor his advancements in power system reliability and renewable energy integration. His work, which includes numerous high-impact publications and patents, has been instrumental in shaping industry standards and research directions. These honors underscore his dedication and the profound impact of his work on the future of energy systems.

Conclusion : 

Bo Hu demonstrates an exemplary combination of research productivity, collaborative influence, and professional recognition. His substantial contributions to power systems, particularly in renewable energy and reliability, align closely with the goals of the Research for Best Researcher Award. His background and achievements make him a highly suitable candidate for this award, embodying the qualities of a top researcher in his field.

📚 Publication Top Notes :

  • Performance optimization of VPP in fast frequency control ancillary service provision – Lin, C., Hu, B., Tai, H.-M., Xie, K., Wang, Y. Applied Energy (2024), 📰 [1 Citation]
  • Reliability–flexibility integrated optimal sizing of second-life battery energy storage systems in distribution networks – Lu, H., Xie, K., Hu, B., Wang, Y., Pan, C. IET Renewable Power Generation (2024), ⚡ [0 Citations]
  • Electric vehicle path planning and charging navigation strategies considering the impact of traffic accidents – Huang, B., Hu, B., Xie, K., Lin, C., Huang, W. Power System Protection and Control (2024), 🚗 [0 Citations]
  • Uniform design-based self-healing evaluation for active distribution network – Lu, J., Zhao, R., Guo, W., Hu, B., Lin, J. Electric Power Systems Research (2024), 🔧 [0 Citations]
  • Optimized operation of integrated electricity-HCNG systems with distributed hydrogen injecting – Yang, K., Deng, Y., Li, C., Hu, B., Shao, C. IET Generation, Transmission and Distribution (2024), 🌐 [0 Citations]
  • Ultra-short-term wind power forecasting based on TCN-Wpsformer hybrid model – Xu, T., Xie, K., Wang, Y., Shao, C., Zhao, Y. Electric Power Automation Equipment (2024), 🌬️ [1 Citation]
  • Unreliability tracing of power systems with reservoir hydropower based on a temporal recursive model – Bai, Y., Xie, K., Shao, C., Hu, B. IET Generation, Transmission and Distribution (2024), 💧 [0 Citations]
  • Capacity Allocation of Renewable Energy Sources Considering Complementarity – Hu, Y., Xie, K., Hu, B., Li, C., Yu, X. CSEE Journal of Power and Energy Systems (2024), 🔋 [0 Citations]
  • Reliability Evaluation of Multi-Area Integrated Electricity-Gas Systems Based on the Improved Uniform Design – Shao, C., Zhao, S., Qi, F., Hu, B., Xie, K. IEEE Transactions on Power Systems (2024), 🌍 [0 Citations]
  • Multi-Area Frequency-Constrained Unit Commitment for Power Systems with High Penetration of Renewable Energy Sources and Induction Machine Load – Wang, L., Fan, H., Liang, J., Hu, B., Xie, K. Journal of Modern Power Systems and Clean Energy (2024), 🔌 [0 Citations]