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个人简介
Prof. Chakrabarty is a recipient of the National Science Foundation CAREER award, the Office of Naval Research Young Investigator award, the Humboldt Research Award from the Alexander von Humboldt Foundation, Germany, the IEEE Transactions on CAD Donald O. Pederson Best Paper Award (2015), the IEEE Transactions on VLSI Systems Prize Paper Award (2021), the ACM Transactions on Design Automation of Electronic Systems Best Paper Award (2017), multiple IBM Faculty Awards and HP Labs Open Innovation Research Awards, and over a dozen best paper awards at major conferences. He is also a recipient of the IEEE Computer Society Technical Achievement Award (2015), the IEEE Circuits and Systems Society Charles A. Desoer Technical Achievement Award (2017), the IEEE Circuits and Systems Society Vitold Belevitch Award (2021), the Semiconductor Research Corporation Technical Excellence Award (2018), the Semiconductor Research Corporation Aristotle Award (2022), the IEEE-HKN Asad M. Madni Outstanding Technical Achievement and Excellence Award (2021), and the IEEE Test Technology Technical Council Bob Madge Innovation Award (2018).
Prof. Chakrabarty’s current research projects include: design-for-testability of 2.5D/3D integrated circuits; hardware security; failure prediction using AI/ML; AI accelerators; microfluidic biochips; AI for healthcare; neuromorphic computing systems. His research has been supported by the National Science Foundation, DARPA, Office of Naval Research, National Institutes of Health, Army Research Office, Semiconductor Research Corporation, and various corporations (Intel, IBM, Synopsys, Cisco, HP). He has published 27 books (with one book translated into Chinese) and over 850 peer-reviewed papers (including over 350 journal articles) on these topics. He holds 18 US patents and his research on microfluidic biochips has been licensed by Advanced Liquid Logic, Illumina, GenMark, and Baebies Inc. He has collaborated extensively with the semiconductor industry and his test technology solutions have been adopted by Intel, TSMC, Samsung, Mentor Graphics, and Qualcomm.
Prof. Chakrabarty’s current research projects include: design-for-testability of 2.5D/3D integrated circuits; hardware security; failure prediction using AI/ML; AI accelerators; microfluidic biochips; AI for healthcare; neuromorphic computing systems. His research has been supported by the National Science Foundation, DARPA, Office of Naval Research, National Institutes of Health, Army Research Office, Semiconductor Research Corporation, and various corporations (Intel, IBM, Synopsys, Cisco, HP). He has published 27 books (with one book translated into Chinese) and over 850 peer-reviewed papers (including over 350 journal articles) on these topics. He holds 18 US patents and his research on microfluidic biochips has been licensed by Advanced Liquid Logic, Illumina, GenMark, and Baebies Inc. He has collaborated extensively with the semiconductor industry and his test technology solutions have been adopted by Intel, TSMC, Samsung, Mentor Graphics, and Qualcomm.
研究兴趣
论文共 1207 篇作者统计合作学者相似作者
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IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMSno. 1 (2024): 277-290
IEEE TRANSACTIONS ON VERY LARGE SCALE INTEGRATION (VLSI) SYSTEMSno. 99 (2024): 1-5
arXiv (Cornell University)no. 99 (2023): 1-16
IEEE JOURNAL OF SELECTED TOPICS IN QUANTUM ELECTRONICSno. 2 (2023)
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ETSpp.1-4, (2023)
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2023 IEEE 41st VLSI Test Symposium (VTS)pp.1-4, (2023)
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2023 28th Asia and South Pacific Design Automation Conference (ASP-DAC)pp.1-7, (2023)
2023 IEEE International Test Conference (ITC)pp.216-225, (2023)
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