Faculty & Staff
Contact
Dr. Neha Bhushan
Assistant Professor
-
School/College
Faculty of Engineering and Technology
-
Department
Department of Computer Science and Engineering
Researcher working in the areas of Renewable Energy, Artificial Intelligence and Machine Learning (AI/ML) applications, Internet of Things (IoT), and Digital Twin modeling. Involved in research activities including modeling, simulation, and analysis of energy systems and data-driven technologies. Participates in academic and technical communities as a reviewer for journals, contributing to the evaluation and quality assessment of research work. Engages with interdisciplinary topics spanning energy systems, computing, and digital platforms, with attention to technical developments and practical applications. Actively follows advancements in emerging technologies and their integration into industrial and academic contexts. Works on data collection, analysis, and modeling to support research projects. Contributes to publications and collaborative research efforts. In addition, maintains records of ongoing research work, documentation, and technical reporting. Continuously updates knowledge on relevant methodologies, tools, and software used in the research domain.
- B.Tech
BTech in Engineering (Awarded)
- M.Tech
MTech Thesis on Readout Embedded Design System (Awarded)
- PhD
Specialization in Renewable Energy, EDGE AI (Awarded)
Total Years of Experience: 10 years
Research Experience6 years
Academic Experience4 years
Industry Experience1 years
-
- ESS
- IoT
- Digital Twin
- Cloud Computing
- AI / ML
- Quantum Computing
- Branch Topper and College Topper in my PG and UG respectively.
International Journal Papers
- Bhushan, N., et al. "Dynamic K-Decay Learning Rate Optimization for Deep Convolutional Neural Network to Estimate the State of Charge for Electric Vehicle Batteries." Energies. (Published)
- Bhushan, N., et al. "Overview of Model- and Non-Model-Based Online Battery Management Systems for Electric Vehicle Applications: A Comprehensive Review of Experimental and Simulation Studies." Sustainability. (Published)
- Reviewer – IEEE Transaction
ADDRESS
