SANTANU KUMAR DASH
Vellore Institute of Technology University, National Institute of Technology Rourkela, Sambalpur University, Majhighariani Institute of Technology and Science
0000-0002-1816-0075
About
Dr. Santanu Kumar Dash has received PhD in Electrical Engineering from Department of Electrical Engineering, National Institute of Technology Rourkela in 2019. His research area includes power quality, grid connected systems, renewable energy, Electric vehicle grid integration, energy management system. He has published many research papers in International Journals and International conferences. He is presently reviewer for IEEE Journals; IJEPES Elsevier; International Transactions on Electrical Energy Systems Wiley; International Journal of Electric Power Components and Systems, Taylor & Francis. Presently he is working as Senior Assistant Professor.
Employment
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Vellore Institute of Technology University Associate Professor Sr2021 - Present
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VNR-VJIET Assistant Professor2019 - 2020
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National Institute of Technology Rourkela PhD Researcher2014 - Present
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Sambalpur University Assistant Professor in Electronics and Communication2013 - Present
Education
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National Institute of Technology Rourkela PhD2014 - Present
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Sambalpur University M.TECH IN EMBEDDED SYSTEM DESIGN2011 - 2013
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Majhighariani Institute of Technology and Science Bachelor of Technology2007 - 2011
Projects & Funding
Projects & funding information is unavailable.
Publications (46)
- Perfect-Foresight Flow-Rate Control of a Photovoltaic–Thermal Collector for Thermochemical Storage: An Exergy Upper Bound Save
- Energy and Exergy Potential of a Flow-Controlled Photovoltaic–Thermal Collector for Charging Thermochemical Energy Storage Under Intermittent Tropical Irradiance Save
- Artificial intelligence and machine learning in hydrogen fuel cell microgrids: emerging trends, challenges, and opportunities Save
- Robust lane detection in autonomous driving using gated convolutional networks with spatial attention Save
- Real-Time Pedestrian and School-Zone Sign Detection for Autonomous Driving Using Spatial Attention-Enhanced Faster R-CNN Save
- Experimental investigation of supercapacitor dynamics: charge–discharge performance analysis under system uncertainties Save
- Energy management with control parameter optimization for a PV/FC/battery islanded DC microgrid Save
- Meta model approach for real time and short-term forecasting of wind turbine power generation with interactive 24 h dashboard Save
- Implementation of adaptive control strategies for PV system integrated unified conditioner for optimal power quality regulation Save
- Simulation-Driven Optimization of Thermochemical Energy Storage in SrCl2-Based System for Integration with Solar Energy Technology Save