About Me
I am a Lead Machine Learning Engineer at Thomson Reuters, a content-driven technology company and the world's leading provider of news and information-based tools to professionals. It provides trusted data and information to professionals across 3 different industries: Legal; Tax and Accounting; and News & Media.
My linkedin and latest resume can be found and downloaded for your reference in this line.
My AI and ML projects over the years are sharing on Github.
News
05/01/23: Start working at Thomson Reuters
12/13/21: Start working at NBCUniversal
01/29/21: One paper accepted in IEEE ISCAS'21
01/26/20: Pandemic outbreak (Covid-19 in CA)
12/08/19: Running Half Marathon Riverside Lexus, CA
11/16/19: Running Half Marathon Palos Verdes Lexus, CA
10/20/19: Running Half Marathon Ventura Lexus, CA
09/25/19: Staycation in Santa Barbara, CA
09/21/19: Staycation in San Diego, CA
09/07/19: Running 5K Orange County, CA
09/01/19: Staycation in Catalina Island, CA
12/14/18: Received Ph.D. in Computer Science
10/21/18: Running Half Marathon Ventura Lexus
09/09/18: Running 10K Santa Monica Classic
07/30/18: Start working at J.D. Power
01/24/18: One paper accepted in IEEE ISCAS'18
Previous Experience
I was a Senior Data Scientist at NBCUniversal and worked on building data pipelines and ML for advertising/marketing data analytics. I was interned at J.D.POWER, a big data analytics and consumer intelligence company, in Westlake Village, CA, before joining it as a full-time data scientist position. I also was interned at Samsung Thales (Hanwha), and Orion Technology in Gumi, South Korea. I was a software engineer at an automation company in south east Asia, Vietnam. My first job was a PCB design engineer at a high-speed PCB layout engineering company in San Jose, CA (operates in Vietnam).
I graduated from the University of Louisiana at Lafayette with a Ph.D. in Computer Science.
Publications
Reinforcement Learning Enabled Routing for High-Performance Networks-on-Chip
with Farhad Reza
ISCAS 2021
pdf code
Neuro-NoC: Energy Optimization in Heterogeneous Many-Core NoC using Neural Networks in Dark Silicon Era
with Farhad Reza, Bappa Dey, Magdy Bayoumi, and Dan Zhao
ISCAS 2018
Awards
Graduate Research Recipient, National Science Foundation (NSF) scholarship, 2013-2015
Best Paper Award, 14th Conference on Electronics & Information Communications, 2012
Recipient, National Research Foundation of Korea (NRF) scholarship, 2011-2013
Recipient, National IT Industry Promotion Agency (NIPA) scholarship, 2011-2013
Recipient, Samsung Thales scholarship for student travel grant, 2012