Tho Ngoc Le's Personal Website

Tho Ngoc Le recently joined the Business Growth Department of JD.com at their Silicon Valley Research Center as a Data Scientist. In Dec. 2017, he had his Ph.D. degree from the Department of Electrical Engineering and Computer Science in Northwestern University , under the Vietnam Education Foundation Fellowship (VEF). Prior to this, he worked as a Research Engineer at the Department of Electrical and Computer Engineering of the National University of Singapore (NUS). He graduated with his Bachelor of Electrical Engineering degree at NUS in 2011, and Master of Science at Northwestern in 2014.

My resume

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Research Group:

• Communications and Networking Laboratory (Northwestern)

Research interests:

• Data Science

• Cascading and Learning in Social Networks

• Machine Learning

• Probabilistic models

Experiences:

• Dec. 2011 - Jul. 2012 : Research Engineer, Communications & Networks Laboratory, ECE Department, NUS, Singapore

• May. 2010 - Jul. 2010 : Internship at Institute for Infocomm Research (I2R), A-star, Singapore.

Education:

• B.Eng. : NUS, Singapore (2007-2011)

• M.S. : Northwestern University (2014)

• Ph.D. : Northwestern University (2012- Dec 2016 (expected))

Awards and Honors:

• Vietnam Education Foundation Fellowship (VEF) award (to Northwestern)

• First Class Honor B.Eng., NUS

• Alcatel-Luccent Technologies Prize (NUS)

• Singapore Indian Chamber of Commerce Medal (NUS)

• ST Electronics Prize (NUS)

• Singapore Scholarship (Singapore's Ministry of Foreign Affairs) (to NUS)

Publications:

• 1. Mohan Gurusamy, Tho Ngoc Le, and Dinil Mon Divakaran. An integrated resource allocation scheme for Multi-Tenant data-center. In 37th Annual IEEE Conference on Local Computer Networks (LCN 2012), October 2012. (PDF preprint).

  2. Dinil Mon Divakaran, Tho Ngoc Le, and Mohan Gurusamy. An online Integrated Resource Allocator for Guaranteed Performance in Data Centers. IEEE Transactions on Parallel and Distributed Systems, October 2013, (PDF preprint).

  3. Tho Ngoc Le, Vijay Subramanian, Randall Berry. The Value of Noise for Informational Cascades. In IEEE International Symposium on Information Theory, June 2014. (PDF preprint).

  4. Tho Ngoc Le, Vijay Subramanian, Randall Berry. The Impact of Observation and Action Errors on Informational Cascades. In 53rd IEEE Conference on Decision and Control, December 2014. (PDF preprint).

  5. Tho Ngoc Le, Vijay Subramanian, Randall Berry. Are Imperfect Reviews Helpful in Social Learning? Accepted for the IEEE International Symposium on Information Theory, July 2016. (PDF preprint).

  6. Tho Ngoc Le, Vijay Subramanian, Randall Berry. Quantifying the Utility of Noisy Reviews in Stopping Information Cascades. In the 55rd IEEE Conference on Decision and Control, Dec 2016. (PDF preprint).

  7. Tho Ngoc Le, Vijay Subramanian, Randall Berry. Information Cascades with Noise. In Special Issue on Distributed Information Processing in Social Networks, June 2017. (PDF preprint).

  8. Tho Ngoc Le, Vijay Subramanian, Randall Berry. Learning from Randomly Arriving Agents. A short abstract paper in the 55th Annual Allerton Conference on Communication, Control, and Computing, Sept 2017.

  9. Tho Ngoc Le, Vijay Subramanian, Randall Berry. Bayesian Learning with Random Arrivals. In the IEEE International Symposium on Information Theory, July 2018. (PDF preprint).

  10. Tho Ngoc Le, Vijay Subramanian, Randall Berry. Social Learning with Reviews (journal manuscript - work in progress).

  11. Tho Ngoc Le, Xiliang Lin, Harikesh Nair. Assessing Ad Block Effects in Mobile Display Advertising. ISMS Marketing Science Conference – Rome, Italy – Abstract paper/presentation. 2019.