Welcome to the ICSRL Webpage

At ICSRL we are broadly interested in the design and application of heterogeneous technologies in digital and mixed signal circuits and systems. Of particular interest, are design of on-chip sensors, machine-learning classifiers, neuromorphic hardware, on-die voltage regulators and power converters, dense memories and logic for low power, resilient and adaptive systems. We perform silicon design, tape-outs and measurements and demonstrate key design innovations in scaled CMOS technologies. Overall, we are interested in the design of autonomous machines that include sensing, intelligent processing and actuation. We work with our research collaborators from the academia and the industry to develop scientific and engineering solutions of far-reaching societal impact.

In other research vectors we are currently exploring mathematical models of computation and information processing, as well as fundamentally new design paradigms. A part of our work involves the study of how circuits interact with the manufacturing process and the investigation of design optimizations in Silicon and post-Silicon technologies. We study emerging computational models, their physical encoding in both CMOS and post-CMOS technologies as well as the computational complexity of continuous time dynamical systems.

Take a look at our Chip Gallery here.

We continue to publish in top journals including Nature, various IEEE Transactions and Journals as well as premier conferences including International Electron Device Meeting (IEDM), International Solid State Circuits Conference (ISSCC), VLSI Technology and Circuits Symposiums, Custom Integrated Circuits Conference (CICC), Asian and European Solid State Circuits Conferences. ICSRL students have been placed and have interned in prestigious industrial research labs like Intel (Circuit Research Labs), Microsoft (Microsoft Research), Qualcomm (Qualcomm Corporate Research), Apple and Samsung.

The lab is a part of the Electrical and Computer Engineering Department at Georgia tech and is led by Prof. Arijit Raychowdhury. We gratefully acknowledge the funding we receive from the Air Force Office of Scientific Research, Department of Defense, DARPA, National Science Foundation (NSF), Intel Corporation, Semiconductor Research Corporation, Qualcomm Inc., Keysight Technologies and Samsung.

Currently, we are a part of four national centers and one Georgia Tech center with charters to develop the next-generations of computing technologies.

	Extremely Energy Efficient Collective Electronics (EXCEL) Center
	Applications and Systems driven Center for Energy-Efficient Integrated NanoTechnologies
	Center for Brain-inspired Computing Enabling Autonomous Intelligence
	Cross-disciplinary Electronic-ionic Research Enabling Biologically Realistic Autonomous Learning (CEREBRAL)
	Center for Co-design of Chip, Package, System

We are hiring! Prospective PhD students and Post-Doctoral researchers may apply. For details click here.

Take a look at our pictures here.