Power Electronics:

Professor L Umanand:
Professor K Gopakumar:

Communication Networks:

Professor Joy Kuri:
Dr. Chandramani Singh:
Dr. T V Prabhakar:

Communication Networks, Data Center Networks, Social Networks, Network Economics, Energy harvesting System

Biomedical Electronics, IC Design and Machine Learning:

Hardik J Pandya
We are a team of young scientists and engineers working on the interface of engineering, biology, medicine, additive manufacturing, and machine learning to solve clinically relevant problems. Our current research focuses on design, simulation and fabrication of microsystems, sensors, transducers, electronic systems with an emphasis on early diagnosis of diseases. We also focus on developing innovative non-invasive technologies for detecting diseases. A parallel area of research focus is on developing smart biomedical devices by integrating novel sensors and machine learning techniques for application in clinics. Our lab collaborates with top team of clinicians in pediatrics, oncology, and cardiovascular diseases. We have a tie-up with the best medical institutes in the country and abroad for obtaining patient samples and identifying relevant existing clinical problems.

Dr. Chetan Singh Thakur
The central research focus of the NeuRonICS lab is to understand the principles of brain computation and to apply this understanding in electronic systems for building intelligent systems. Engineers have a lot to learn about computation from the brain, which has evolved over billions of years to solve difficult engineering problems. Efficient, parallel, low-power computation is a hallmark of the brain, and to be able to replicate this in electronic systems is one of the goals of the lab. Research interests of the lab span a broad range of subjects such as ASIC/FPGA VLSI design, analog IC design, brain-inspired algorithms, computational neuroscience, machine learning, and event-based sensors.


Professor Santanu Mahapatra
Nanoelectronic device modeling, density functional theory, quantum transport, parallel computation, machine learning, energy storage.
Dr. Mayank Shrivastava
Design, simulation, fabrication, characterization, modelling and reliability physics of nanoscale as well power semiconductor devices. Nanoscale devices includes graphene and CNT FETs, 2D material (MoS2, WS2, WSe2, MoSe2, Phosphorene, h-BN) based electronic and optoelectronic devices. Power semiconductor device research includes Gallium Nitride HEMTs and Si LDMOS devices. Design and Simulation includes Technology CAD (TCAD) as well Density Functional Theory (DFT) based computations. Device fabrication and characterization includes full transistor fabrication using state-of-the-art cleanroom infrastructure and its characterization / testing using one of its kind characterization facility. Modelling includes exploration of unique experimental observations using TCAD and DFT tools. Reliability investigation includes exploration of electron-phonon transport at nano-second time scale in nanoelectronics devices, role of phonon in graphene, 2D material and HEMT device degradation and failure.

Share This