Yingqian Zhang
Department / Institute
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, deep reinforcement learning, (trustworthy) data-driven optimization, and socially aware algorithms.
She developes AI driven decision-making approaches in various problem domains, including logistics, transportation, manufacturing, and e-commerce.
SUPERVISION
Yingqian Zhang is promotor of
- Mohsen Abbaspour Onari
- Abdo Abouelrous
- Luca Begnardi
- Xia Jiang
- Robbert Reijnen
- Jesse van Remmerden
- Ya Song
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 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), and on the technical expert board of European Big Data Value Association (BDVA). She is an associate editor 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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Mohsen Abbaspour Onari,Isel Grau,Marco S. Nobile,Yingqian Zhang
Trustworthy Artificial Intelligence in Medical Applications: A Mini Survey
(2023) -
Vahideh Reshadat,Alp Akcay,Kalliopi Zervanou,Yingqian Zhang,Eelco de Jong
SCRE
Neural Computing and Applications (2023) -
Robbert Reijnen,Zaharah Bukhsh,Yingqian Zhang,Mateusz Guzek
Learning to Adapt Genetic Algorithms for Multi-Objective Flexible Job Shop Scheduling Problems
(2023) -
Mohsen Abbaspour Onari,Isel Grau,Marco S. Nobile,Yingqian Zhang
Measuring Perceived Trust in XAI-Assisted Decision-Making by Eliciting a Mental Model
(2023) -
Ligia Maria Moreira Zorello,Kazem Eradatmand,Sebastian Troia,Achille Pattavina,Yingqian Zhang,Guido Maier
Auction-based network slicing for 5G RAN
(2023)
Current Educational Activities
Ancillary Activities
No ancillary activities