Research Assistant Professor of Electrical and Computer Engineering
- 2019, Doctoral Degree, Purdue University
- 2014, Master's Degree, University of Minnesota - Minneapolis
- 2011, Bachelor's Degree, Shri Guru Gobind Singhji Institute of Engineering and Technology, Nanded
Dr. Jaiswal is a Research Assistant Professor of Electrical and Computer Engineering and a Scientist at USC's Information Sciences Institute's (ISI) Application Specific Intelligent Computing (ASIC) Lab. Prior to USC/ISI, Dr. Jaiswal was a Senior Research Engineer with GLOBALFOUNDIRES (GF) at Malta. At GF, Dr. Jaiswal was working as a part of DARPA-sponsored research on enabling in-memory computing using magnetic devices. He was also responsible for modeling and circuit research for emerging non-volatile memory technologies and Silicon Photonics based computing focusing both on matured as well as scaled technology nodes. Dr. Jaiswal received his Ph.D. degree in Nano-electronics from Purdue University in May 2019. As a part of doctoral program his research focused on 1) CMOS based analog and digital in-memory and near-memory computing using standard memory bit-cells for beyond von-Neumann computing. 2) Exploration of bio-mimetic devices and circuits using emerging non-volatile technologies for Neuromorphic computing. His current research interest includes exploration of 'alternate computing paradigms' using 'alternate state variables'. Dr. Jaiswal has authored several publications in reputed journals (Nature, Applied Physics Reviews, Philosophical Transactions of Royal Society, Scientific Reports etc.) and conferences and has 9 issued patents and 15+ pending with the USPTO.
Computing platforms for decades have been designed around a basic Boolean switch - 'The Transistor.' Over the years, the vision for computing has changed drastically from room-sized computers to handheld devices. However, the underlying hardware principles largely based on the doctrine of - 'One Device (MOSFET), One Circuit (Synchronous Boolean Logic) and One Architecture (von-Neumann architecture), has fundamentally remained unaltered. No wonder today's computing platforms fail to provide the desired power, performance, and area scaling required for the emerging class of applications, including artificial intelligence, edge computing, Internet-of-Things, etc. As such, the vision for enabling 'Ubiquitous Computing' needs re-thinking the entire computing stack, including Materials, Devices, Circuits, Architecture, and Software for enabling targeted end-applications.
Dr. Jaiswal's research includes application of "alternate state variables" such as electrons, photons, phonons, magnetic spins, quantum variables to deliver next-generation hardware fabrics for key application focus areas including (1) Artificial Intelligence and Neuromorphic Computing, (2) Smart Sensors, (3) Smart and Secure Manufacturing, (4) Quantum Information.