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He was with Synopsys Inc., Hsinchu, Taiwan, as an R&D engineer. He was a yield & diagnosis intern at Intel, Santa Clara, CA, a DFT intern at NVIDIA Inc., Santa Clara, CA, and a DFT intern at Apple Inc., Cupertino, CA. His current research interests include deep reinforcement learning, design automation, and security for microfluidic systems.
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论文共 23 篇作者统计合作学者相似作者
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Mahmoud Elfar,Yi-Chen Chang, Harrison Hao-Yu Ku,Tung-Che Liang,Krishnendu Chakrabarty,Miroslav Pajic
PROCEEDINGS OF THE 2022 DESIGN, AUTOMATION & TEST IN EUROPE CONFERENCE & EXHIBITION (DATE 2022)pp.640-645, (2022)
Yaas Bigdeli,Shruti Preetam, Kristin C. Scott,Zhanwei Zhong,Tung-Che Liang, Zachary Tini,Krishnendu Chakrabarty,Richard B. Fair
MICROFLUIDICS, BIOMEMS, AND MEDICAL MICROSYSTEMS XIX (2022): 1195506-1195506
Bonita Bhaskaran,Sanmitra Banerjee,Kaushik Narayanun,Shao-Chun Hung, Seyed Nima Mozaffari Mojaveri,Mengyun Liu, Gang Chen,Tung-Che Liang
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