ICSRL

Integrated Circuits & Systems Research Lab
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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.

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 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)

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

 Location

Klaus 2204, Klaus 2212, Klaus 2311
School of Electrical and Computer Engineering,
Georgia Institute of Technology,
266 Ferst Drive, Atlanta, GA – 30332

Contact

Arijit Raychowdhury
Phone: 404.894.1789
Email: arijit.raychowdhury@ece.gatech.edu

 

 

ICSRL Highlights

March'18 Dr. Raychowdhury has won the Georgia Tech Outstanding Faculty Award, 2018. Thanks to all the ICSRL team members (past and present) and congratulations to all the winners!

March'18 Our paper on stochastic models for artificial IMT neurons is now accepted for publication in the Frontiers of Neurosciences. Congratulations to all the authors!

March'18 Our paper on a reconfigurable LDO is accepted for publication in the IEEE Transactions on Circuits and Systems-II. Congratulations to all the authors!

March'18 We have papers in the Transactions on Circuits and Systems-I and the Transactions on Industrial Electronics on hardware-assisted Machine Learning and Security for Edge Devices. Congratulations to all the authors!

Feb’18 Our paper at ISSCC is covered by Electronicsweekly!

Feb’18 We presented a paper and a demo at ISSCC 2018 on: “A 55nm Time-Domain Mixed-Signal Neuromorphic Accelerator with Stochastic Synapses and Embedded Reinforcement Learning for Autonomous Micro-Robots“. This is the first demonstration of RL in hardware at sub-1mW for edge-nodes. Congratulations to all the authors!

Dec’17 Saad and Samantak successfully defend their theses. Congratulations!

Oct and Nov'17 - We will present three papers (A. Amravati and N. Cao) on energy-efficient machine learning hardware at the edge of the cloud at ASSCC, BioCAS and IEEE Sensors

Aug'17 - Prof. Arijit Raychowdhury wins the Best Paper Award for IEEE Transactions on Multi-Scale Computing Systems

Jul'17 - ISCRL wins multiple research grants from Qualcomm Inc., Semiconductor Research Corporation, AFOSR and National Science Foundation

Jun '17 - Our work on synthesizing dynamical systems to solve combinatorial optimization problems is published in Nature Scientific Reports and featured in ECE NEWS, PHYS.ORG, SCIENCE DAILY, ECN, SCIENTIFIC COMPUTING

Jun’17 – Ningyuan presents at the International Microwave Symposium (IMS)

May’17 – Saad wins the best paper award at the IEEE International Symposium on Hardware Oriented Security and Trust (HOST)

May, Jun, Jul ’17 – Multiple papers in IEEE Transactions on CAS (I and II) and Transactions on Computer Aided Design.

May '17 - Our CICC paper on a novel LDO technique resulting from collaborative research with our partners at Qualcomm's Research Lab draws widespread attention from industry researchers.

Feb'17 - Saad Bin Nasir wins the prestigious IEEE Solid State Circuits Society's Pre-Doctoral Research Award

Feb'17 - Samantak Gangopadhyay wins the IEEE Solid State Circuits Society's Travel Grant Award for ISSCC

Aug'16 - "Always On", Light-Powered, Gesture Recognizing Camera featured in WIRED, DIGITAL TRENDS, TECHCRUNCH, ENGADGET, YAHOO, NSF

Aug'16 - Two papers on Embedded Power Management to be presented at the European Solid State circuits Conference in Switzerland.

Sept'15 - Arijit Raychowdhury wins INTEL EARLY CAREER FACULTY AWARD.

Sept'15 - A. Amravati wins Best Paper Award in Analog/Mixed-Signal Track in IEEE VLSI-SoC Conference.

Dec'14 - S. Gangopadhyay and S. Nasir have entered the Finals of the Qualcomm Innovation Fellowship.

Dec'14 - Vision chip exploiting non-linear dynamics presented at IEDM 2014 (Joint work with Penn State).

Nov'14 - ICSRL receives research funding from Intel to work on control strategies for embedded voltage regulators

Oct'14 - Paper on all-digital LDOs accepted at ISSCC 2015.

Sep'14 - ICSRL receives research funding from Intel to work on Low Power Camera Systems

Jul'14 - Prof. Arijit Raychowdhury attended Microsoft Faculty Summit in Seattle

Jun'14 - Press coverage on Nature Scientific Report - Radio Interview and Press Release

May'14 - Collaborative work with Penn State and Cornell Universities published in "Nature Scientific Reports"

Mar'14 - ICSRL receives research funding from Qualcomm to work on Adaptive Control on VRs

Mar'14 - Paper presented at ISQED 2014

Mar'14 - Paper presented at DATE 2014

Feb'14 - SRC program on embedded VRs started

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