Sowndharya Rajendran | Forecasting Renewable Generation | Women Researcher Award

Prof. Sowndharya Rajendran | Forecasting Renewable Generation | Women Researcher Award

Sona College of Technology, Salem | India

Dr. Sowndharya Rajendran is an Assistant Professor in the Department of Computer Science and Engineering at Anna University, with academic training in computer science, artificial intelligence, and data-driven systems. Her research expertise spans Artificial Intelligence, Machine Learning, Deep Learning, smart cities, cybersecurity, blockchain, and intelligent data management systems. She has authored multiple peer-reviewed publications in reputed international journals and conferences, including works on AI-based privacy systems, deep learning for psychometric analysis, 5G applications, and smart infrastructure technologies. Her research has received 70 citations, with an h-index of 4 and i10-index of 1, reflecting growing scholarly impact and interdisciplinary collaboration. Dr. Rajendran’s work contributes to digital transformation, secure intelligent systems, and sustainable smart-city development, delivering measurable societal and technological impact

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Josue Ngondo Otshwe | Grid Integration of Renewable Energy | Best Researcher Award

Assist. Prof. Dr. Josue Ngondo Otshwe | Grid Integration of Renewable Energy | Best Researcher Award

Professor Doctor | North China Electric Power University | China

Dr. Josue Ngondo Otshwe is a research-focused electrical engineering scholar whose work centers on renewable energy systems, power systems optimization, and sustainable electrification strategies, with particular emphasis on microgrids, distributed energy resources, and energy management in developing power networks. His scholarly contributions span renewable energy integration, corrosion protection in energy infrastructure, biogas production systems, adaptive control, and carbon-conscious grid management, reflecting an interdisciplinary approach that combines theoretical modeling, optimization techniques, and applied energy analysis. His research outputs demonstrate growing influence in the fields of sustainable power engineering and smart grid technologies, addressing challenges related to electrification, load management, storage optimization, and emission reduction. Through peer-reviewed journal articles and collaborative studies, his work contributes to advancing resilient and efficient energy systems, particularly in emerging and resource-constrained contexts. His academic impact is reflected by 16 citations and an h-index of 2, indicating early but measurable research visibility and relevance within the global energy and electrical engineering research community.

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