Dr. Dheeraj Kumar Dhaked: Assistant professor (Tenure) at Veermata Jijabai Technological Institute Mumbai, India
Dr. Dheeraj Kumar Dhaked is a dedicated researcher in the field of renewable energy and intelligent power systems, currently serving as a CHANAKYA Postdoctoral Fellow at the Indian Institute of Technology (IIT) Roorkee. With a strong academic foundation backed by a Ph.D. in Electrical Engineering from Rajasthan Technical University, Kota (2023), his work focuses on the integration of battery storage systems, microgrids, and electric vehicles using advanced machine learning and deep learning techniques. With over four years of research and teaching experience and more than 25 journal publications, Dr. Dhaked has made notable contributions to energy system modeling, optimization, and forecasting. He combines a strong technical background with hands-on expertise in Python, MATLAB, and AI tools, bridging the gap between traditional energy systems and modern data-driven approaches.
Online Profiles
Dr. Dheeraj Kumar Dhaked maintains a strong online research presence with growing impact. According to Google Scholar, he has a total of 361 citations, with 329 citations since 2020. His h-index stands at 10, and his i10-index is 13 overall (11 since 2020), reflecting the consistent quality and relevance of his publications. On Scopus, he has 143 citations and an h-index of 7.
Education
Dr. Dhaked completed his CHANAKYA Postdoctoral training at IIT Guwahati in 2024 and is now continuing advanced research at IIT Roorkee. He earned his Ph.D. in Electrical Engineering in 2023 from Rajasthan Technical University, Kota, with a specialization in Battery Energy Storage Systems (BESS) for Microgrids. Prior to that, he received his M.Tech in Power System Engineering from RTU Kota in 2017 with a dissertation focused on D-FACTS device modeling. His academic journey began with a B.Tech in Electrical Engineering from GITS, Udaipur in 2013. His consistently research-oriented education has laid the foundation for his interdisciplinary work across power systems, renewable integration, and AI-based modeling.
Research Focus
Dr. Dhaked’s research focus lies at the intersection of electrical energy systems, artificial intelligence, and sustainable technologies. His key interests include the development of efficient battery-supported microgrids, integration of renewable energy sources such as solar PV and fuel cells, and advanced modeling for EV charging infrastructure. He is particularly engaged in exploring the use of machine learning (ML), deep learning (DL), and hybrid models like LSTM-CNN for applications such as state of health (SoH) prediction for lithium-ion batteries and power output forecasting. He is also working on the design of digital twins for energy systems and control architectures for DC microgrids, making his work highly relevant for future smart grid and clean energy systems.
Experience
Over the course of his professional career, Dr. Dhaked has accumulated more than four years of hands-on experience in research and academia. He is currently a Postdoctoral Fellow at IIT Roorkee (since April 2024), where he works on developing a digital twin for battery-based EV energy systems under Dr. Jeevanand S. Previously, he completed a postdoctoral term at IIT Guwahati, where he contributed to a project on underwater exploration robotics and energy systems. He has also served as an Assistant Professor at GL Bajaj Institute, Mathura (2022–2023) and SS College of Engineering, Udaipur (2017–2018). He has delivered numerous expert lectures at various academic institutions and served as an external examiner for AKTU exams.
Research Timeline & Activities
Dr. Dhaked’s research timeline reflects a steady progression from conventional power systems to cutting-edge interdisciplinary work. Between 2017–2023, his Ph.D. research addressed battery energy storage integration in microgrids and optimization strategies for renewable systems. In 2023, he began postdoctoral research at IIT Guwahati, contributing to underwater robotics and multi-source energy management. Since 2024, at IIT Roorkee, his focus has shifted toward digital twin technology, AI-driven battery diagnostics, and EV system modeling. He has worked on funded projects, filed patents, developed ML models for SoH estimation, and contributed book chapters and edited volumes with major publishers like Elsevier and Springer. His activities also include conference organization, peer review work, and curriculum development in modern power electronics and AI-based control.
Awards & Honors
Dr. Dhaked has been recognized for his academic excellence and research contributions with several awards and fellowships. He received the Young Researcher Award at the RAISE conference held at HPU Shimla in December 2024. He was selected for the competitive CHANAKYA Postdoctoral Fellowship by both iHub-IIIT Delhi and iHub-IIT Bhilai (chose IIT Roorkee). He also received a research associate offer from NISE Gurugram. He has qualified the GATE exam twice (2014 & 2019), successfully completed the CII-IPATE 2020 exam, and was actively involved in student leadership as Hostel House Secretary during his Ph.D. at RTU. Additionally, he has been a keynote speaker at FDPs on Power Systems and IPR, demonstrating strong engagement in academic outreach.
Recent Journal Publications
Gopal, Y., Panda, K. P., Gupta, P. P., Dhaked, D. K., & Arya, Y. (2025). Development and performance assessment of switched-capacitor multilevel inverters for solar PV applications. Sustainable Energy Technologies and Assessments, 79, 104360. https://doi.org/10.1016/j.seta.2024.104360
Dhaked, D. K., Sharma, O., Gopal, Y., & Gopal, R. (2025). Prediction of dengue patients using deep learning methods amid complex weather conditions in Jaipur, India. Discover Public Health, 22(1), 58. https://doi.org/10.1007/s44197-024-00058-3
Narayanan, V. L., Gupta, A., Dhaked, D. K., Tewary, M., Mondal, S. K., & Gopal, R. (2025). A systematic review on recent trends in path planning techniques for autonomous underwater vehicles. International Journal of Intelligent Robotics and Applications, 1–41. https://doi.org/10.1007/s41315-025-00231-5
Narayanan, V. L., Narayan, J., Dhaked, D. K., & Telmoudi, A. J. (2025). Elman Neural Network with Customized Particle Swarm Optimization for Hydraulic Pitch Control Strategy of Offshore Wind Turbine. Processes, 13(3), 808. https://doi.org/10.3390/pr13030808
Dhaked, D. K., & Narayanan, V. L. (2024). Recent trends in medical cyber-physical systems—A brief survey. In Intelligent Cyber-Physical Systems for Healthcare Solutions: From Theory to Practice (pp. 39–60). Springer. https://doi.org/10.1007/978-981-97-8983-2_3