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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Alhussein Albarbar | Net-Zero Energy Buildings | Research Excellence Award

Prof. Dr. Alhussein Albarbar | Net-Zero Energy Buildings | Research Excellence Award

Professor Doctor | Manchester Met University | United Kingdom

Dr. Alhussein Albarbar researcher with a strong interdisciplinary focus, this scholar has made significant contributions to smart sensing, condition monitoring, acoustics and vibration, renewable and hybrid energy systems, and data-driven engineering applications. The research portfolio spans experimental modeling, signal processing, machine learning, and intelligent diagnostics for mechanical, energy, and infrastructure systems, with particular emphasis on reliability, efficiency, and sustainability. The author has published extensively in high-impact, peer-reviewed international journals, producing influential work on MEMS accelerometers, wind turbine condition assessment, photovoltaic forecasting, smart grids, and acoustic-based fault detection. The research has achieved wide global recognition, accumulating 2,888 citations, with a strong h-index of 28 and an i10-index of 50, reflecting both depth and consistency of scholarly impact. This body of work demonstrates sustained excellence in advancing applied engineering research with measurable scientific and technological influence.

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