Work Experience

• Staff Engineer @ Samsung, Nov. 2022 - Present
• Machine Learning Engineer Intern @ Neuralink, Sep. 2022 - Nov. 2022
• Research Scientist Intern @ Facebook, Jun. 2020 - Sep. 2020
• Teaching Assistant @ UCLA, Jan. 2019/2020 - Mar. 2019/2020
  Neural Networks and Deep Learning.
• Engineer @ MediaTek, Dec. 2013- Sep. 2017

Education

• Ph.D Electrical and Computer Engineering, UCLA, 2022
• M.S. Electronic Engineering, National Taiwan University (NTU), 2013
• B.S. Electrical and Computer Engineering, National Chiao Tung University (NCTU), 2012

Honors & Awards

• Government Scholarship to Study Abroad (GSSA), Ministry of Education, Taiwan, Jun. 2021
• J. Yang Scholarship, Asia Pacific Center (APC), UCLA, Jul. 2020
• University Fellowship, A rare and high competing fellowship for high performance students, UCLA, Sep. 2018
• Dean’s Scholar Award, A multi-year fellowship for the top entering PhD student awarded by UCLA, UCLA, Sep. 2017
• Living Spring Department Fellowship, A high competing fellowship for entering PhD student,UCLA, Sep. 2017
• ZyXEL Scholarship, Awarded to the top junior year student in the ECE, NCTU, ZyXEL, Jun. 2011
• HSIAO YUAN-LUNG ECE Scholarship, Academic achievement awarded to 2 out of 102 students, NCTU, Jan. 2011
• Academic Achievement Award, Awarded to the top three students in ECE department, NCTU, Jan. 2011
• Academic Achievement Award, Awarded to the top three students in ECE department, NCTU, Jan. 2010
• Academic Achievement Award, Awarded to the top three students in ECE department, NCTU, Jan. 2009

Publications

• A closed-loop emulator that accurately predicts brain-machine interface decoder performance
  Computational and Systems Neuroscience (COSYNE)
  Ken-Fu Liang, Jonathan C Kao
  

• An artificial intelligence that increases simulated brain–computer interface performance
  Journal of Neural Engineering (JNE)
  Sebastian Olsen*, Jianwei Zhang*, Ken-Fu Liang, Michelle Lam, Usama Riaz, Jonathan C Kao
  

• Deep Learning Neural Encoders for Motor Cortex
  IEEE Transactions on Biomedical Engineering (TBME)
  Ken-Fu Liang, Jonathan C. Kao
  

• A wideband pulse-modulated polar transmitter using envelope correction for LTE applications
  IEEE Transactions on Microwave Theory and Techniques (TMTT)
  Ken-Fu Liang, Hao-Shun Yang, Chun-Wei Chang, Jau-Horng Chen
  

• A quadratic-interpolated LUT-based digital predistortion technique for cellular power amplifiers
  IEEE Transactions on Circuits and Systems II: Express Briefs (TCAS-II)
  Ken-Fu Liang, Jau-Horng Chen, Yi-Jan Emery Chen
  

Peer Reviewer

• IEEE Transactions on Emerging Topics in Computational Intelligence
• Plos One

Learn & Fun

• Game Developer Conference, SF, USA, 2023
• COSYNE, Lisbon, Portugal, 2022
• IPAM Workshop, UCLA, 2020 Intersections between Control, Learning and Optimization
• IPAM Workshop,UCLA, 2020 Deep Learning and Medical Applications
• SfN,Chicago, 2019
• ICLR, New Orleans, 2019
• SfN,San Diego, 2018
• COSYNE, Denver, 2018
• IPAM Workshop, UCLA, 2018 New Deep Learning Techniques

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