I-Hsi Kao

I-Hsi Kao Picture

VISITING SCHOLAR

1357 S. 46th Street
Building 452 (Room 106), Berkeley Global Campus
Richmond, CA 94804
United States
Phone: 
415-217-9771
Email Address: 

Current Research

  • Artificial Intelligence,
  • Data Analysis,
  • Data Engineering,
  • Deep Learning,
  • Intelligent Identification System,
  • Machine Learning,
  • Prediction System.

Biography

I-Hsi Kao was born in Taipei, Taiwan, in 1994. He received his B.S. degree in electrical engineering from National United University, Miaoli, Taiwan, in 2016, and his M.S. degree in mechanical and electro-mechanical engineering from National Sun Yat-sen University, Kaohsiung, Taiwan, in 2018, where he is working toward his Ph.D. in mechanical and electro-mechanical engineering. He is currently a visiting scholar in Berkeley DeepDrive, California PATH, UC Berkeley.

Education

  • Ph.D., Mechanical and Electro-mechanical Engineering, National Sun Yat-sen University, Current

  • M.S., Mechanical and Electro-mechanical Engineering , National Sun Yat-sen University, 2018

  • B.S., Electrical Engineering, National United University, 2016

Experience

  • Visiting Scholar, California PATH, UC Berkeley. 2020

  • Research Assistant, National Sun Yat-sen University, Kaohsiung, Taiwan. 2016-2020

Publications

  • J. W. Perng, I. H. Kao, C. T. Kung, S. C. Hung, Y. H. Lai, and C. M. Su, “Mortality prediction for suspected infected patients in an emergency department based on machine learning,” Journal of Clinical Medicine, vol. 8, no. 11, Nov. 2019.
  • I. H. Kao, Y. W. Hsu, Y. H. Lai, and J. W. Perng, “Laser cladding quality monitoring using coaxial image based on machine learning,” IEEE Transactions on Instrumentation and Measurement, vol. 69, no. 6, pp. 2868-2880, Jul. 2019.
  • I. H. Kao, Y. W. Hsu, Y. Z. Yang, Y. L. Chen, Y. H. Lai, and J. W. Perng, “Determination of Lycopersicon Maturity using Convolutional Autoencoders,” Scientia Horticulturae, vol. 256, no. 15, Oct. 2019.
  • I. H. Kao, W. J. Wang, Y. H. Lai, and J. W. Perng, “Analysis of permanent magnet synchronous motor fault diagnosis based on learning,” IEEE Transactions on Instrumentation and Measurement, vol. 68, no. 2, pp. 310-324, Jun. 2019.
  • J. W. Perng, I. H. Kao, Y. W. Chen, Y. H. Lai, C. M. Su, S. C. Hung, M. S. Lee, and C. T. Kung, “Analysis of the 72-h mortality of emergency room septic patients based on a deep belief network,” IEEE ACCESS, vol. 6, pp. 76820-76830, Dec. 2018.
  • I. H. Kao, J. A. Su, J. W. Perng, “Design of outdoor autonomous mobile Robot,” International Conference on Recent Innovations in Biotechnology, System Engineering, Applied Sciences, Space Environment & Aviation Technology, Sep. 2018.
  • I. H. Kao, W. J. Wang, I. C. Chiang, J. W. Perng, “Implementation of permanent magnet synchronous motor fault diagnosis by a stacked autoencoder,” IEEE International Conference on Consumer Electronics-Taiwan, May. 2018.
  • I. H. Kao, Y. Z. Yian, J. A. Su, Y. H. Lai, J. W. Perng, T. L. Hsieh, Y. S. Tsai, and M. S. Hsieh, “Design of sensor fusion driver assistance system for active pedestrian safety,” the 14th International Conference on Automation Technology, Dec. 2017.
  • I. H. Kao, K. C. Lu, and J. W. Perng, “Design and implementation of fuzzy-PI controllers for PMSM based on multi-objective optimization algorithms,” 5th International Conference on Mechanical, Automotive and Materials Engineering, Aug. 2017.