Tsung-Yi Ho, Professor
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AI Research and Outline:
The main research direction is to apply machine learning to smart manufacturing (error detection), neuron-like wafer and AI chip design automation, and self-driving control optimization.
AI Research Papers (Please see http://www.cs.nthu.edu.tw/~tyho/publications.html):
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Y. Luo, K. Chakrabarty, and T.-Y. Ho, "Real-Time Error Recovery in Cyberphysical Digital-Microfluidic Biochips Using a Compact Dictionary," IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (IEEE TCAD), vol. 32, no. 12, pp. 1839-1852, December 2013.
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K. Hu, F. Yu, T.-Y. Ho, and K. Chakrabarty, "Testing of Flow-Based Microfluidic Biochips: Fault Modeling, Test Generation, and Experimental Demonstration," IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (IEEE TCAD), vol. 33, no. 10, pp. 1463-1475, October 2014 (Best Paper Award).
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T. Y. Huang, C.-J. Chang, C.-W. Lin, S. Roy, and T.-Y. Ho, "Delay-Bounded Intra-Vehicle Network Routing Algorithm for Minimization of Wiring Weight and Wireless Transmit Power," IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (IEEE TCAD), vol. 36, no. 4, pp. 551-561, April 2017.
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W. Wen, C.-R. Wu, X. Hu, B. Liu, T.-Y. Ho, X. Li, and Y. Chen, "LNCS: An EDA Framework for Large Scale Hybrid Neuromorphic Computing Systems," Proceedings of ACM/IEEE Design Automation Conference (DAC-2015), pp., 12:1-6 San Francisco, CA, June 2015. (Best Paper Nomination)