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Samarjit Chakraborty

Samarjit Chakraborty

William R. Kenan, Jr. Distinguished Professor

(148) Ph.D. 2003, ETH Zurich. Distributed embedded systems, hardware/software co-design, embedded control systems, low-power systems, energy storage systems, electromobility, and sensor network-based information processing.


350 Brooks Building

919-590-6038 Phone
919-590-6105 Fax


Samarjit Chakraborty is a William R. Kenan, Jr. Distinguished Professor in the Department of Computer Science. From 2008 to 2019, he was a Professor of Electrical Engineering at TU Munich in Germany, where he held the Chair for Real-Time Computer Systems. From 2011 – 2016 he also led a research program on embedded systems for electric vehicles at the TUM CREATE Center for Electromobility in Singapore, where he also served as a Scientific Advisor. He was an Assistant Professor of Computer Science at the National University of Singapore from 2003 – 2008. He obtained his Ph.D. in Electrical Engineering from ETH Zurich in 2003.

He was the General Chair of Embedded Systems Week (ESWeek) 2011, and the Program Chair of EMSOFT 2009 and SIES 2012, and regularly serves on the TPCs of various conferences on real-time and embedded systems. During 2013-2014, he also served on the Executive Committee of DAC, where he started a new track on Automotive Systems and Software along with Anthony Cooprider from the Ford Motor Company. He serves on the editorial boards of IEEE Transactions on Computers, ACM Transactions on Cyber-Physical Systems, Leibnitz Transactions on Embedded Systems, Design Automation of Embedded Systems and Springer’s Lecture Notes on Electrical Engineering.

For his Ph.D. thesis, he received the ETH Medal and the European Design and Automation Association’s Outstanding Doctoral Dissertation Award in 2004. In addition, he has received Best Paper and Demo Awards at ISLPED, ICCD, RTCSA, ASP-DAC, EUC, Mobisys, and several Best Paper Award nominations at RTSS, EMSOFT, CODES+ISSS, ECRTS and DAC. In addition to funding from several governmental agencies, his work has also been supported by grants from General Motors, Intel, Google, BMW, Audi, Siemens and Bosch.