I am an assistant professor in the supply chain management department at W.P. Carey School of Business at Arizona State University. I hold a PhD’s degree in business administration from the University of Southern California and a master’s degree in systems engineering from University of Pennsylvania.
My research interests include revenue management and business analytics by applying methods such as large-scale optimization, machine learning and AI, causal inference, field-experiments, data-driven optimization, and network economics. In the past, I also worked as an economist at Kuaishou Technology and a research scientist at Amazon.com. I have published several articles on top research journals such as Management Science and Operations Research.
Contact
Address: 300 E. Lemon St. Tempe, AZ 85281
Email: hengzhang24'at'gmail'dot'com
University Profile Google Scholar LinkedIn Profile Curriculum Vitae.
Hi, Welcome!
I'm Heng Zhang (章恒).
Employment
Assistant Professor, Arizona State University, Tempe, AZ Fall 2020 - Current
- Department of Supply Chain Management, W. P. Carey School of Business
Economist/Ops. Research Scientist, Kwai.com, Beijing, China Summer 2019 - Summer 2020
Research Scientist Intern, Amazon.com, Seattle, WA Summer 2017, 2018
Data Analyst Intern, ACASA Laboratory, Univ. of Pennsylvania, Philadelphia, PA Summer 2013
Education
University of Southern California, Los Angeles, CA 2014 - 2019
Ph.D., Operations Management, Data Sciences and Operations Department, Marshall School of Business
University of Pennsylvania, Philadelphia, PA 2012 - 2014
M.Sc., Systems Engineering, Electrical and Systems Engineering Department, School of Engineering
Beijing University of Posts and Telecommunications, Beijing, China 2005 - 2012
M.Sc., Management Science and Engineering, School of Economics and Management
B.Sc., Mathematics and Applied Mathematics, School of Science
Journal Publications and Working Papers
Z. Zeng, H. Dai, D. Zhang, Z.M. Shen, Z. Xu, H. Zhang, R. Zhang, “Social Nudges Boost Productivity on Online Platforms: Evidence from Field Experiments,” Management Science, 2023
Z. Ye, D. Zhang, H. Zhang, R. Zhang, X, Chen, “Cold Start on Online Advertising Platforms: Data-Driven Algorithms and Field Experiments,” Management Science, 2023
− Finalist, INFORMS Revenue Management and Pricing (RMP) Section 2020 Student Paper Prize (Awarded to Coauthor Zikun Ye)
− Spotlighted presentation in INFORMS RMP Conference (2021)
M. Gopalakrishnan, H. Zhang, Z. Zhang, "Multi-Product Pricing under the Multinomial Logit Model with Local Network Effects," Decision Science, 2023
L. Y. Chu, H. Nazerzadeh, H. Zhang, “Position Ranking and Auctions for Online Marketplaces,” Management Science, 66(8): 3295 - 3798, 2020
H. Zhang, P. Rusmevichientong, H. Topaloglu, “Assortment Optimization under the Pairwise Combinatorial Logit Model,” Operations Research, 68(3): 655 - 964, 2020
H. Zhang, P. Rusmevichientong, H. Topaloglu, “Multi-Product Pricing under Generalized Extreme Value Models with Homogeneous Price Sensitivity Parameters,” Operations Research, 66(6): 1559 - 1570, 2018
M. Wang, H. Zhang, P. Rusmevichientong, Z. M. Shen, “Optimizing Offline Product Design and Online Assortment Policy: Measuring the Relative Impact of Each Decision,” accepted at Management Science
−Finalist, Jeff McGill Student Paper Award, 2022
Y. Lin, M. Wang, H. Zhang, R. Zhang, Z. M. Shen, “Content Promotion for Online Content Platforms with Network Diffusion Effect,” accepted at Manufacturing & Service Operations Management
− Winner, Best Student Paper of INFORMS Social Media Analytics 2022
Y. Wang, M. Li, N. Ma, H. Zhang, "Product Service Outsourcing: Impact of Market Dispersion and Knowledge Decay," accepted at Manufacturing and Service Operations
H. Zhang, H. Piri, W. T. Huh, H. Li, “Assortment Optimization Under Multiple-Discrete Customer Choices,” major revision at Manufacturing & Service Operations Management
Y. Lin, H. Zhang, R. Zhang, Z. M. Shen, "Non-progressive Diffusion on Social Networks: Approximation and Applications," major revision at Management Science
− First-Place Price, Thirteen POMS-HK International Conference Best Student Paper Award, 2022
− Finalist, INFORMS Minority Issues Forum Poster Competition, 2023
− Finalist, the 18th INFORMS Data Mining and Decision Analytics (DMDA) Workshop Best Paper Competition Award (Theoretical Track), 2023.
− Accepted to INFORMS Workshop on Data Science, 2023
Z. Chen, H. Zhang, H. Li, S. Webster, "Multi-Objective Assortment Optimization: Revenue, Risk, Customer Utility and Beyond," reject and resubmit at Management Science
Z. Ye, Z. Zhang, D. Zhang, H. Zhang, R. Zhang, "Deep Learning Based Causal Inference for Large-Scale Combinatorial Experiments: Theory and Empirical Evidence", reject and resubmit at Management Science
− Preliminary version accepted at the Twenty-Fourth ACM Conference on Economics and Computation (EC'23), 2023
− Accepted to INFORMS Workshop on Data Science, 2023
− Second Place, CSAMSE Annual Conference Best Paper Award, 2023
− Winner, Best Student Paper of Social Media Analytics 2023
Refereed Conference Proceedings
Z. Ye, Z. Zhang, D. Zhang, H. Zhang, R. Zhang, Deep Learning Based Causal Inference for Large-Scale Combinatorial Experiments: Theory and Empirical Evidence, Twenty-Fourth ACM Conference on Economics and Computation (EC'23), 2023
J. Cao, H. Zhang, Q. Zheng, “Retaining Customers by Data Mining: A Telecomunication Carrier’s Case Study in China,” 2010 International Conference on E-Business and E-Government, 3141 - 3144, 2010
Book Chapters
H. Bastani, D. Zhang, H. Zhang, “Applied Machine Learning in Operations Management,” in: V.Babich, J.Birge, G.Hilary (eds) Innovative Technology at the Interface of Finance and Operations, Springer Series in Supply Chain Management, Springer Natures, forthcoming, 2021
Teaching
Instructor, University of Arizona State University
- SCM 519/Analytical Decision Modeling II (Graduate level) spring 2021, spring 2022, spring 2023
- SCM 502/Supply Chain Management, fall 2020
Instructor, University of Southern California
- BUAD-311/Opeartions Management, fall 2017
Teaching Assistant
- Operations Management, University of Southern California, fall 2016
- Introduction of Optimization, University of Pennsylvania, fall 2013
- Simulation Modeling and Analysis, University of Pennsylvania, spring 2013
Honors and Awards
Finalist, INFORMS Minority Issues Forum Poster Competition, 2023
Finalist, the 18th INFORMS Data Mining and Decision Analytics (DMDA) Workshop Best Paper Competition Award (Theoretical Track), 2023
Second Place, the 2023 CSAMSE Annual Conference Best Paper Award, 2023
Professor of impact award, 2023 (for excellence in teaching MBA students)
First-Place Price, Thirteen POMS-HK International Conference Best Student Paper Award, 2022
Second place, OR/MS Tomorrow Mini-poster Competition, 2022
Finalist at the the 2022 Jeff McGill Student Paper Award, 2022
Winner of Best Student Paper of INFORMS Social Media Analytics, 2022
Finalist at the INFORMS Revenue Management and Pricing (RMP) Section 2020 Student Paper Prize, 2020
The Honor Society of Phi Kappa Phi
Nominated for the USC Ph.D. Achievement Award by Marshall School of Business, 2019
Nominated for the University Outstanding Teaching Assistant Award by the department, 2018
Marshall Ph.D. Teaching Award, University of Southern California, 2018
Invited to Cornell ORIE Young Researcher Workshop, Ithaca, NY, 2018
Outstanding Graduate Award, for excellence in academic achievements, Beijing University of Posts and Telecommunications, 2012
Outstanding Individual Award, in recognition of outstanding service to 2008 Beijing Olympic and Paralympic Games, Beijing, 2009