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Bio
His main research interests lie in the applications of machine learning and statistical analysis in the design of trusted and reliable integrated circuits and systems, with particular emphasis in the analog/RF domain. He is also investigating hardware-based malware detection, forensics and reliability methods in modern microprocessors, security primitives in synthetic biology, as well as on-die learning and novel computational modalities using emerging technologies. His research activities have been supported by NSF, NIH, SRC, ARO, AFRL, AFWERX, DARPA, DoE/Honeywell, Boeing, Northrop Grumman, KBR/Wyle, IBM, LSI, Intel, AMS, Advantest, Qualcomm and TI.
Research Interests
Papers共 266 篇Author StatisticsCo-AuthorSimilar Experts
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IEEE VLSI Test Symposiumpp.1-7, (2024)
IEEE DESIGN & TESTno. 2 (2024): 15-22
Xingyu Meng, Amisha Srivastava,Ayush Arunachalam,Avik Ray,Pedro Henrique Silva,Rafail Psiakis,Yiorgos Makris,Kanad Basu
CoRR (2023)
2023 DESIGN, AUTOMATION & TEST IN EUROPE CONFERENCE & EXHIBITION, DATEpp.1-2, (2023)
2023 DESIGN, AUTOMATION & TEST IN EUROPE CONFERENCE & EXHIBITION, DATEpp.1-6, (2023)
2023 IEEE 41st VLSI Test Symposium (VTS)pp.1-7, (2023)
PROCEEDINGS OF THE 32ND USENIX SECURITY SYMPOSIUM (2023): 5809-5826
2022 IEEE 15th Dallas Circuit And System Conference (DCAS)pp.1-6, (2022)
Qiongdan Huang,Jingxiang Tian, Thomas Broadfoot, Xiangyu Xu,Bo Hu,Mustafa Shihab, Apurva Jane,Vibhav Salimath,Yiorgos Makris,Carl Sechen
2022 IEEE 15th Dallas Circuit And System Conference (DCAS)pp.1-6, (2022)
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