Dr. DHEERAJ KUMAR DHAKED
Banasthali Vidyapith, Indian Institute of Technology Guwahati
0000-0001-9461-7690
About
Dr. Dheeraj Kumar Dhaked is a distinguished academician and researcher with more than five years of teaching and research experience in electrical engineering. He earned his Ph.D. from Rajasthan Technical University, Kota, in 2023 and currently serves as an Assistant Professor at Banasthali Vidyapith, Jaipur. His academic journey includes prestigious postdoctoral fellowships at IIT Roorkee (CHANAKYA Post‑Doctoral Fellow, supported by IHub‑IIIT Delhi) and IIT Guwahati (Post‑Doctoral Fellow, Technology Innovation and Development Foundation). A prolific scholar, he has authored over 30 research articles in reputed international journals, with more than 630 citations on Google Scholar, and has reviewed around 200 research papers for leading journals.
In addition to his journal publications, Dr. Dhaked has authored two books and is currently serving as Co‑Principal Investigator on a project developing a Modular Remotely Operated Vehicle (MROV), supported by IIT Guwahati’s TIDF initiative. His research interests span microgrids, distributed generation systems, renewable energy technologies, underwater systems, and the application of artificial intelligence, machine learning, and deep learning in electrical engineering. Through his innovative work, he continues to advance sustainable energy solutions and intelligent systems, contributing significantly to both academia and industry.
Employment
-
Banasthali Vidyapith Assistant Professor2025 - Present
-
Indian Institute of Technology Guwahati Post-Doctoral Fellow2023 - 2024
-
Indian Institute of Technology Guwahati Project Engineer2023 - 2023
Education
Education history is unavailable.
Projects & Funding
Projects & funding information is unavailable.
Publications (22)
- Novel Parallel Deep Frameworks for Feature-Based Estimation of SOH for Lithium-Ion Battery Save
- Scalable Energy-Aware Task Scheduling on Heterogeneous Voltage Frequency Islands: From Optimal ILP to Practical Heuristics With Real-World Validation Save
- Deep learning frameworks for feature-based SoH estimation of lithium-ion battery Save
- Ensemble Learning Based Method for Contingency Classification and Ranking in a Large Power System Save
- Exploring deep learning methods for solar photovoltaic power output forecasting: A review Save
- Elman Neural Network with Customized Particle Swarm Optimization for Hydraulic Pitch Control Strategy of Offshore Wind Turbine Save
- Prediction of dengue patients using deep learning methods amid complex weather conditions in Jaipur, India Save
- Development of Data Driven Model for Proton Exchange Membrane Fuel Cell Using Machine Learning Approaches Save
- Model Order Reduction of Battery for Smart Battery Management System Save
- A Review on Various Voltage Boosting Topology in DC-DC Converter Save