About me

Teng HUANG (黄腾)

4th year Ph.D. candidate
Department of Operations and Information Management
School of Business
University of Connecticut
Email: teng.huang@uconn.edu

My name is Teng Huang. I am graduating in Summer 2020. Please contact me if  you hear of any job opportunities that are fit for me.

Mohsen and Hongfei are the other two extraordinary PhD students in our department. Please follow the links and get to know them.

Upcoming events:

  • The 25th International Conference on Principles and Practice of Constraint Programming (CP2019), Stamford, CT, September 30 - October 4, 2019
    • Proudly served as one of the website chairs.
  • INFORMS Annual Meeting, Seattle, WA, October 20-23, 2019

Education:

  • Ph.D., Operations and Information Management, University of Connecticut, expected 2020
  • Master, Information Science, Sun Yat-Sen University, 2013
  • Bachelor, Information Management and Information Systems, Sun Yat-Sen University, 2011
    • (double major in Archaeology)

Research Interests:

  • applied machine learning; and
  • optimization.

Past events:

  • POMS Doctoral Consortium 2019, Washington D.C., May 4th, 2019;
  • POMS Annual Meeting 2019, Washington D.C., Invited Presentation "Predictive and Prescriptive Analytics for Location Selection of Add-On Retail Products" in Session "Inventory, Customer Management and Computation" (Session Chair: Andre Cire, Track: Supply Chain Analytics), 11:30 am - 1:00 pm,  Location: Intl Ballroom East, May 4th, 2019;
  • POMS Annual Meeting 2019, Washington D.C., one of the Session Chairs of "Novel Integration of Predictive and Prescriptive analytics in Supply Chain Management" (Track: Emerging Topics in Operations Management), 11:30 am - 1:00 pm, Location: Jay, May 5th, 2019;
    • 093-0351 Taking Assortment Optimization from Theory to Practice: Evidence from Large Field Experiments on Alibaba, Jacob Feldman, Assistant Professor, Washington University St Louis, United States
    • 093-2091 Use of Twitter Data for Risk Management in an Organic Food Supply Chain, Shalique Sidhikh (Student), Sidhartha Padhi (Associate Professor), and Rupesh Pati, Associate Professor all from Indian Institute of Management Kozhikode, India
    • 093-2141 A Reinforcement Learning Approach for Hotel Revenue Management, Jun Zhang, Professor, Fudan University, China
    • 093-2159 Analytics-Driven Response Operations for Infrastructure Resilience, Mathieu Dahan (Student); Saurabh Amin (Associate Professor); and Georgia Perakis (Professor) all from Massachusetts Institute of Technology, United States