Namrata Bist | Engineering | Best Researcher Award

Dr. Namrata Bist | Engineering | Best Researcher Award

Pandit Deendayal Energy University | India

Dr. Namrata Bist is an accomplished energy engineering researcher and Assistant Professor in the Department of Petroleum Engineering at Pandit Deendayal Energy University (PDEU), Gandhinagar. With a Ph.D. focused on sustainable energy systems, she has developed strong expertise in geothermal energy, CO₂–EOR, hydrogen blending, carbon storage, reservoir modeling, and machine learning applications in subsurface engineering. Dr. Bist has authored more than 40 high-impact publications in reputed international journals and conferences, reflecting her commitment to advancing clean and efficient energy technologies. She has played key roles as PI, Co-PI, and Project Coordinator in several prestigious research projects funded by the Government of Gujarat, MNRE, Shell Energy India, and U.S.-based Project Inner Space, bridging academic insights with industrial relevance. Her research interests include hybrid renewable energy systems, sustainable reservoir engineering, and AI-driven optimization in energy production. She actively mentors B.Tech and M.Tech scholars, fostering innovation and scientific thinking among young engineers. Recognized for her strong academic contributions, interdisciplinary collaborations, and forward-looking vision, Dr. Bist continues to contribute significantly to India’s clean energy transition and global engineering research community.

Citation Metrics (Google Scholar)

1500
1000
500
50
0

Citations
961
i10-index
51

 h-index 12

Citations

i10-index

h-index


View Google Scholar Profile

Featured Publications

Banaja Mohanty | Energy | Best Researcher Award

Assoc. Prof. Dr. Banaja Mohanty | Energy | Best Researcher Award

Veer Surendra Sai University of Technology | India

Dr. Banaja Mohanty is an accomplished Associate Professor at Veer Surendra Sai University of Technology (VSSUT), Burla, with a strong academic and research foundation in engineering and technology. With 47 published documents and 1,638 citations received from 1,270 referenced works, she has achieved an impressive h-index of 17, reflecting her consistent research impact in her field. Her scholarly contributions encompass areas such as renewable energy systems, power electronics, and smart grid technologies, with a particular focus on sustainable and efficient energy solutions. Dr. Mohanty has guided several research projects and collaborated with industry and academic partners to promote innovation-driven learning. She has contributed to leading SCI and Scopus-indexed journals, participated in national and international conferences, and has served as a reviewer and editorial board member for reputed journals. Her active involvement in academic development and mentoring young researchers has strengthened the research culture within her institution. Dr. Mohanty’s achievements are marked by her dedication to scientific excellence, innovation, and knowledge dissemination. Her continued commitment to advancing research in emerging technologies underscores her reputation as a distinguished academic and researcher, contributing significantly to the scientific community.

Profiles: Google Scholar | Scopus

Featured Publications

Mohanty, B., Panda, S., & Hota, P. K. (2014). Controller parameters tuning of differential evolution algorithm and its application to load frequency control of multi-source power system. International Journal of Electrical Power & Energy Systems, 54, 77–85.

Panda, S., Mohanty, B., & Hota, P. K. (2013). Hybrid BFOA–PSO algorithm for automatic generation control of linear and nonlinear interconnected power systems. Applied Soft Computing, 13(12), 4718–4730.

Mohanty, B., Panda, S., & Hota, P. K. (2014). Differential evolution algorithm based automatic generation control for interconnected power systems with non-linearity. Alexandria Engineering Journal, 53(3), 537–552.

Hota, P. K., & Mohanty, B. (2016). Automatic generation control of multi source power generation under deregulated environment. International Journal of Electrical Power & Energy Systems, 75, 205–214.

Mohanty, B., & Tripathy, S. (2016). A teaching learning based optimization technique for optimal location and size of DG in distribution network. Journal of Electrical Systems and Information Technology, 3(1), 33–44.