Some of the functionalities will not work if javascript off. Please enable Javascript for it.
Official Website of Rajiv Gandhi Institute of Petroleum Technology, Jais, Amethi, India. / Research

Electronics Engineering


Department faculty is actively involved in the research in individual and/or collaboration with other departments for interdisciplinary research. Research highlights of department faculties is included here to provide a glimpse about the ongoing research and future research interests.

Dr. U. D. Dwivedi served as a research Scientist, Department of Electrical Engineering at IIT Kanpur.  His research interests are Power Quality Monitoring, Fault Detection and Diagnosis, Power Electronics and Drives, Modelling and Simulation of Dynamic Systems, Machine Learning Applications, Signal Processing and Wavelet Transform Applications, Smart Grid, Renewable Energy and Distributed Generation. He is a recipient of Arnold F. Graves Post-Doctoral Research Fellow, DIT Dublin, Ireland and member of Institute of Electrical and Electronics Engineers USA. He has published more than 30 research papers in reputed international journals and conferences. He has delivered several invited expert lectures, research presentations in international and national research forums on power and energy engineering. He has conducted many industrial training sessions in the areas of Energy and Petroleum.

Dr. Shivanshu Shrivastava, interests include diverse domains like Cognitive Radio (CR), Wireless Communications, Visible Light Communications (VLC), and Deep Learning. Within Cognitive Radios. He is interested in their security issues, throughput maximization, and overall system optimization. His ongoing works include the application of Deep Learning for suppressing malicious attacks in CRs. Within VLC, his interests are in throughput maximization, light energy harvesting, and power-bandwidth optimization. In the past, he has achieved these objectives with the help of Deep Learning in downlink hybrid RF/VLC. Current works involve joint uplink-downlink optimization with conventional and learning based approaches. He has special interests in studying communication systems in adverse conditions.

Dr. Sajal Agarwal is actively involved in interdisciplinary research including thin film fabrication, characterization, metamaterial designing, sensors, solar cells, absorbers, and communication but not limited. Her ongoing work includes the integration of optical sensors with Internet of Things for cloud-based data collection and optical visible light communication. Her research interest covers various aspects of electronics, material, and optical science and she is interested to widen her research area.

Dr. Abhishek Kumar Singh is working in experimental and theoretical research in the areas of Microelectronics and Photonics. His area of interest is Fabrication, Modeling, and Simulation of Electronic and Optoelectronic devices, High-Speed Semiconductor devices (MESFETs), Phototransistors, VLSI Design for Low power Applications. He is currently involved in CMOS nanoelectronics transistors based on 2D materials, Hybrid Spintronic/CMOS Technology for Space Applications. Organic Electrochemical Transistors (OECTs) for Biosensors. He has shown strong research capabilities in publications in reputed peer-reviewed journals. He has published several research articles in renowned journals such as IEEE Transactions on Electron Devices, IEEE Sensors Journal, IEEE Photonics Technology Letters, and Organic Electronics.

Dr. Ravi Shaw works in the field of Antenna and Circuit design in the Microwave and Millimeter wave regime. Specifically, his work involves the analysis and design of planar printed periodic leaky wave antennas with corresponding application in the field of energy harvesting, direction of arrival estimation and near field beam focussing. He has also worked in the field of transmission line causal modelling of interconnects which are useful for signal and power integrity applications in high speed printed circuit boards.

Some of the research areas are:

  1. Electronics circuits
  2. Cognitive radio communication
  3. Wireless communication
  4. Visible light communication
  5. Signal processing
  6. Microwave and antenna
  7. Sensors
  8. Machine learning
  9. Robotics
  10. Artificial Intelligence
  11. Electronics and optical devices
  12. Power Quality Monitoring
  13. Fault Detection and Diagnosis
  14. Power Electronics and Drives
  15. Modelling and Simulation of Dynamic Systems
  16. Wavelet Transform Applications
  17. Smart Grid
  18. Renewable Energy and Distributed Generation
  19. Renewable energy sources

But not limited.