Tho Le

Electrical Engineer // Future Data Scientist

About Myself


I am a PhD candidate in the Electrical Engineering and Computer Science (EECS) department at Northwestern University. I am a member of the Communications and Networking laboratory, working under the supervision of Professor Randall Berry (Northwestern University) and Professor Vijay Subramanian (now at University of Michigan).

I joined Northwestern University in September 2012 as a doctoral student under the Vietnam Education Foundation Fellowship. On the way, I earned my Master Degree here in June 2014 and continued through my PhD program.

My work at Northwestern includes studying bandwagon-type effects for models of Bayesian observational learning in social networks, which resembled many online recommendation systems (Amazon, Yelps, etc.). We studied models under different information structures and discovered many interesting, non-intuitive results: while noisy observations could help customers in their learning processes, additional information such as customers’ reviews/feedback could worsen their purchasing decisions. The main techniques used were hypothesis testing, Markov analysis, random walks, martingales processes and Monte-Carlo simulation. In addition, my research interest includes data science, machine learning, probabilistic models, game theory, quantitative finances, and optimization and resources allocation in communications networks.

I am expected to graduate in June 2017. I am looking for internship opportunities from now until June 2017, as well as full-time offers starting in June 2017. I am interested in career opportunities in data science.

Check out my projects on my git-hub page.

Publications:

  1. Tho Ngoc Le, Vijay Subramanian, Randall Berry. Information Cascades with Noise. Submitted to TSIPN Special Issue on Distributed Information Processing in Social Networks, June 2017.
  2. Tho Ngoc Le, Vijay Subramanian, Randall Berry. Quantifying the Utility of Noisy Reviews in Stopping Information Cascades. Submitted to the 55rd IEEE Conference on Decision and Control, Dec 2016. (PDF preprint).
  3. 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).
  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. The Value of Noise for Informational Cascades. In IEEE International Symposium on Information Theory, June 2014. (PDF preprint).
  6. 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).
  7. 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).

Experience


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Started my Barchelor Degree at National University of Singapore (NUS)

In 2007, I received the Singapore Scholarship to pursue my Bachelor degree at the department of Electrical and Computer Engineering of National University of Singapore. I graduated in 2011 with First-Class Honor.

2007
College

First Internship (I2R, Singapore)

In Summer 2010, I was an internship student at the Institute for Infocomm Research (I2R), A*STAR, Singapore. My advisors were Professor Chew Yong Huat and Dr. Tang Pak Kay. The project was on learning about Cognitive Radio and Hidden Markov Model. This was then extended to my Final Year Project, which earned me the Alcatel-Lucent Technologies Prize for the best Communications Engineering Final Year Project in 2011.

Summer 2010
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Research Engineer at NUS

From 2011 to 2012, I was a research engineer at the Communications and Networks Laboratory, NUS. My advisors were Professor Mohan Gurusamy and Dr. Dinil Mon Divakaran. The project was on allocating resources for data center networks. We implemented a resource allocation scheme for multi-tenant data-centers that admits requests from virtual machines (VMs) dynamically, which takes into account both server resources (computational and storage) and network resource (bandwidth). My main contribution included extensive Monte-Carlo simulation using C and Python.

Our scheme accommodates 10%-23% more requests compared to a load-balancing allocator that does not consider bandwidth requirements of VMs. We published one conference and one journal in less than one year.

2011 - 2012
Location

Started my Doctoral Program at Northwestern University

I joined Northwestern University in September 2012 as a doctoral student under the Vietnam Education Foundation Fellowship.

Sept 2012
Location

Earned my MS Degree

On the way, I earned my Master Degree here in June 2014 and continued through my PhD program.

May 2014
Location

Doctoral Degree (expected)

I am expected to graduate from my Doctoral Program at Northwestern University in June 2017. I am looking for full-time position in Data Analytics.

June 2017
Location

Blog


A good book on statistics

January 14, 2017 — 12:01

Hello world

December 17, 2016 — 17:52


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Contact Details



ngocthole@gmail.com

Contact Me