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

More @ Google scholar

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