Yingqian Zhang
Department
Group
RESEARCH PROFILE
Yingqian Zhang is an Associate Professor in the Information Systems group at Eindhoven University of Technology (TU/e). Her research interests lie in the area of Artificial Intelligence for decision-making, particularly, machine learning, data-driven optimization, multi-agent systems, and socially aware algorithms. She developes AI driven decision-making approaches in several problem domains, including logistics, transportation, manufacturing, and e-commerce.
I optimize decisions in a data-rich environment using AI.
ACADEMIC BACKGROUND
Yingqian Zhang received her PhD in Computer Science from the University of Manchester, UK. She has worked as an Assistant Professor in Econometrics Institute a t Erasmus University Rotterdam, and as a postdoc researcher in the Algorithmics group at TU Delft. She was a visiting professor in the Institute for Advanced Computer Studies at University of Maryland, College Park, USA in 2015.
Yingqian is on the board of BNVKI (Benelux Association for Artificial Intelligence), on the editorial board of journal "Annals of Mathematics and Artificial Intelligence", and serves yearly as a member of the technical Program Committee for major AI conference such as IJCAI, AAAI, AAMAS, ECAI. She is on the executive committee of the working group DSO (Data Science meets Optimisation) of EURO (Association of European Operational Research Societies) to promote collaboration between AI and OR communities on the direction of machine learning and optimization.
Recent Publications
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Paulo da Costa,Peter Verleijsdonk,Simon Voorberg,Alp Akcay,Stella Kapodistria,Willem van Jaarsveld,Yingqian Zhang
Policies for the dynamic traveling maintainer problem with alerts
European Journal of Operational Research (2023) -
Robbert Reijnen,Yingqian Zhang,Zaharah Bukhsh,Mateusz Guzek
Deep Reinforcement Learning for Adaptive Parameter Control in Differential Evolution for Multi-Objective Optimization
IEEE Symposium Series on Computational Intelligence, IEEE SSCI 2022 (2023) -
Abdo Abouelrous,Adriana F. Gabor,Yingqian Zhang
Optimizing the inventory and fulfillment of an omnichannel retailer: a stochastic approach with scenario clustering
Computers & Industrial Engineering (2022) -
Jason Rhuggenaath,Alp Akcay,Yingqian Zhang,Uzay Kaymak
Setting reserve prices in second-price auctions with unobserved bids
INFORMS Journal on Computing (2022) -
Robbert Reijnen,Yingqian Zhang,Hoong Chuin Lau,Zaharah Bukhsh
Operator Selection in Adaptive Large Neighborhood Search using Deep Reinforcement Learning
arXiv (2022)
- Data Analytics for Business Intelligence
- Design of Data-Driven Business Operations
- Design of Service Operations
- Business Analytics
Ancillary Activities
No ancillary activities