10/2019 - Current: Research Scientist (Machine Learning)
Facebook - Search team
06 - 09/2018: Software Engineer Intern
Detect misinformation in public posts.
Amazon Web Services - Redshift
06 - 09/2017: Software Engineer Intern
Implement a new replication scheme in Redshift storage engine.
Amazon Web Services - Redshift
06 - 09/2016: Software Engineer Intern
Built an internal tool to automate and strengthen the software release management of Redshift. Now, it is serving the team
of several dozen developers and being developed to provide more functionalities.
University of California, Riverside
09/2014 - current: Research Assistant
Query by Documents on Top of a Search Engine
Use documents to query for relevant ones on top of a
black box search engine.
Targeted Solicitation of Product Reviews
Study and propose customer review solicitation methods
that lead to high-quality review profiles.
Ontology- and Sentiment-aware Review Summarization
Summarizing online reviews of doctors by leveraging a
domain hierarchy of medical concepts and by accounting
for different sentiment levels.
Tools and Techniques: medical concept extraction from
text, sentiment analysis (using sentiment dictionaryor
distributed representation of text), integer linear
Smolab, Hanoi, Vietnam
01 - 07/2014: Data Analyst
Build a personalized ranking and recommendation of nearby venues
for a local search mobile app.
Ph.D., M.Sc. in Computer Science
09/2014 - 09/2019
University Of California, Riverside
Advisor: Dr. Vagelis Hristidis
B.Sc. in Computer Science
08/2007 - 06/2012
Hanoi University of Science and Technology, Vietnam
Nhat X.T. Le, A.B. Siddique, Fuad Jamour, Samet Oymak, and Vagelis Hristidis
Predictable and Adaptive Goal-oriented DialogPolicy Generation,
IEEE International Conference on Semantic Computing, (ICSC '21) (Best Student Paper)
Nhat X.T. Le, Matthew Wiley, Antonio Loza, Vagelis Hristidis, Robert El-Kareh.
Prediction of Medical Concepts in Electronic Health Records: Similar Patient Analysis,
JMIR Medical Informatics 8 (7), e16008, 2020.
Nhat X.T. Le, Ryan Rivas, James Flegal, Vagelis Hristidis.
Decrease Product Rating Uncertainty Through Focused Reviews Solicitation,
International Journal of Semantic Computing (IJSC) 13(4), 2019
Nhat X.T. Le, Neal Young and Vagelis Hristidis.
Unsupervised Ontology- and Sentiment-aware Review,
20th International Conference on Web Information Systems Engineering
(WISE), 2019 (acceptance rate 24.6%)
Nhat X.T. Le, Ryan Rivas, James M. Flegal and Vagelis Hristidis.
Targeted solicitation of product reviews
, In the 13th IEEE International Conference on Semantic Computing,
IEEE, 2019 (acceptance rate 24.8%)
Ryan Rivas, Niloofar Montazeri, Nhat X.T. Le, Vagelis Hristidis.
Automatic Classification of Online Doctor Reviews,
Journal of Medical Internet Research (JMIR), 2018
Nhat X.T. Le, Vagelis Hristidis, and Neal Young.
Ontology-and sentiment-aware review summarization
, In Data Engineering (ICDE), 2017 IEEE 33rd International
Conference on, pages 171–174 (poster). IEEE, 2017
Nhat T.X. Le, Ikki Fujiwara, and Michihiro Koibuchi.
Distributed shortcut networks: Layout-aware low-degree topologies exploiting small-world effect
, In 42nd International Conference on Parallel Processing (ICPP’13), pages 572–581, Lyon, France, October 2013
Nhat T.X. Le and Van K. Nguyen.
Interconnection networks with efficient custom routing, exploiting small-world effect
, In The 10th IEEE RIVF International Conference on Computing and Communication Technologies (RIVF-2013), November 2013
N.T. Truong, V.K. Nguyen,
Nhat T.X. Le, I. Fujiwara, F. Chaix, and M. Koibuchi.
Layout-aware expandable low-degree topology
, In 20th IEEE International Conference on Parallel and Distributed Systems (ICPADS), pages 462–470, Dec 2014