Office:  Tel: 03-516-2178 E-mail: kttang@ee.nthu.edu.tw Website: http://140.114.14.182/drupal7_qs/ Professor, Department of Electrical Engineering

AI Research and Outline:

The main research direction is low-power, learning chips of low-latency: The extremely efficient AI chip system design is achieved based on a neuromorphic architecture with breaking the limits of the traditional Von-Neumann architecture and using spike-based. This requires the development of a combination of software and hardware, and requires a combination of model compression and circuit design.

AI Research Papers (Please see http://140.114.14.182/drupal7_qs/Pub):

• #Shih-Wen Chiu, #Jen-Huo Wang, #Kwuang-Han Chang, #Ting-Hau Chang, #Chia-Min Wang, #Chia-Lin Chang, Chen-Ting Tang, Chien-Fu Chen, Chung-Hung Shih, Han-Wen Kuo, Li-Chun Wang, Hsin Chen, Member, IEEE, Chih-Cheng Hsieh, Meng-Fan Chang, Yi-Wen Liu, Tsan-Jieh Chen, Chia-Hsiang Yang, Herming Chiueh, Juyo-Min Shyu, and Kea-Tiong Tang*, “A Fully Integrated Nose-on-a-Chip for Rapid Diagnosis of Ventilator-Associated Pneumonia”, IEEE Transaction on Biomedical Circuits and Systems, vol. 8(6), pp. 765-778, 2014. (5-Year IF = 3.146, Ranking: 27/243

• Shih-Wen Chiu, Hsiang-Chiu Wu, Ting-I Chou, Hsin Chen, and Kea-Tiong Tang*, “A Miniature Electronic Nose System Based on a MWNT-Polymer Microsensor Array and a Low-Power Signal Processing Chip”, Analytical & Bioanalytical Chemistry, pp. 1-10, 2014/01/03, 2014. (5-Year IF = 3.756, Ranking: 9/75)