Projects per year
Personal profile
Research profile
Yingqian Zhang (张颖芊, pronounce: [Ying-Chyen Jahng]) 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 develops AI driven decision-making approaches in various problem domains, including logistics, transportation, manufacturing, and public service domains.
SUPERVISION
Yingqian Zhang is promotor of
- Mohsen Abbaspour Onari
- Abdo Abouelrous
- Luca Begnardi
- Xia Jiang
- Chengpeng Hu
- Minshuo Li
- Robbert Reijnen
- Jesse van Remmerden
- Bart von Meijenfeldt
- Ya Song
- Igor Smit
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.
Yingqian is the Chair of the Benelux Association for Artificial Intelligence (BNVKI), and on the Technical Board for the 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.
Quote
I optimize decisions in a data-rich environment using AI.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
External positions
Chair, Benelux Association for Artificial Intelligence
2025 → …
Technical Expert Board Member, Big Data Value Association
2023 → …
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STABILITY : Sustainable Circular Life Extension Strategies for Inner-City Bridges and Quay Walls
Bukhsh, Z. (Project Manager), Zhang, Y. (Project member), van Remmerden, J. (Project member), Bukhsh, Z. (Project Manager), Zhang, Y. (Project member) & van Remmerden, J. (Project member)
9/01/23 → 8/01/27
Project: Second tier
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Confident data-driven Decision Support
Zhang, Y. (Project Manager), Grau Garcia, I. (Project member), Vacancy PHD (Project member) & Vacancy PHD (Project member)
1/01/26 → 31/12/29
Project: Third tier
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GULAD: Generalizable and Understandable Self-Learning Approaches for Dynamic, Large-Scale Resource Management Optimization Problems - 15706426
Zhang, Y. (Project Manager), Reijnen, R. (Project member) & Bukhsh, Z. (Project communication officer)
1/09/21 → 31/08/25
Project: Third tier
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Dynaplex, minimizing disruptions in Dutch logistics
van Jaarsveld, W. L. (Project Manager), Zhang, Y. (Project member), Temizoz, T. (Project member), Begnardi, L. (Project member) & Dijkman, R. M. (Project member)
1/03/21 → 1/11/24
Project: Third tier
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Lane Analysis & Route Advisor
Zhang, Y. (Project Manager), Akçay, A. E. (Project member), Reshadat, V. (Project member) & Zervanou, K. (Project member)
1/07/19 → 31/12/21
Project: Research direct
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Self-supervise ensemble for extreme imbalance data streams with concept drift
Teng, Y., Bukhsh, Z., Zhang, Y. & Yin, H. (Corresponding author), 7 Feb 2026, In: Neurocomputing. 665, 24 p., 132154.Research output: Contribution to journal › Article › Academic › peer-review
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Algorithm Configuration in Sequential Decision-Making
Begnardi, L. (Corresponding author), von Meijenfeldt, B., Zhang, Y., van Jaarsveld, W. & Baier, H., 2025, Integration of Constraint Programming, Artificial Intelligence, and Operations Research: 22nd International Conference, CPAIOR 2025, Melbourne, VIC, Australia, November 10–13, 2025, Proceedings, Part I. Tack, G. (ed.). Springer, p. 86-102 17 p. (Lecture Notes in Computer Science (LNCS); vol. 15762).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
1 Citation (Scopus) -
Assessing and Quantifying Perceived Trust in Interpretable Clinical Decision Support
Abbaspour Onari, M. (Corresponding author), Grau, I., Zhang, C., Nobile, M. S. & Zhang, Y., 12 Oct 2025, Explainable Artificial Intelligence: Third World Conference, xAI 2025, Istanbul, Turkey, July 9–11, 2025, Proceedings. Guidotti, R., Schmid, U. & Longo, L. (eds.). Cham: Springer, Vol. Part III. p. 202-222 21 p. (Communications in Computer and Information Science (CCIS); vol. 2578).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
Open AccessFile2 Downloads (Pure) -
Data science meets optimization II
Zhang, Y. (Corresponding author), Guns, T., Lombardi, M. & De Causmaecker, P., Jun 2025, In: Annals of Mathematics and Artificial Intelligence. 93, 3, p. 343-345 3 p.Research output: Contribution to journal › Editorial › Academic › peer-review
Open AccessFile -
Deep Multi-Objective Reinforcement Learning for Utility-Based Infrastructural Maintenance Optimization
van Remmerden, J. (Corresponding author), Kenter, M., Roijers, D. M., Andriotis, C., Zhang, Y. & Bukhsh, Z., Oct 2025, In: Neural Computing and Applications. 37, 30, p. 24719-24742 24 p.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile6 Citations (Scopus)2 Downloads (Pure)
Prizes
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Winner MLVRP2023 GECCO competition
Reijnen, R. (Recipient), Song, Y. (Recipient), Abouelrous, A. (Recipient), Zhang, Y. (Recipient), Bukhsh, Z. (Recipient) & Bliek, L. (Recipient), 19 Jul 2023
Prize: Other › Career, activity or publication related prizes (lifetime, best paper, poster etc.) › Scientific
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Best Paper Award for 2017 by Omega-International Journal of Management Science
Ye, Q. C. (Recipient), Zhang, Y. (Recipient) & Dekker, R. (Recipient), 2017
Prize: Other › Career, activity or publication related prizes (lifetime, best paper, poster etc.) › Scientific
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Best Industrial Paper Award
van Leeuwen, H. (Recipient), Zhang, Y. (Recipient), Zervanou, K. (Recipient), Mullick, S. (Recipient), Kaymak, U. (Recipient) & de Ruijter, T. (Recipient), 2020
Prize: Other › Career, activity or publication related prizes (lifetime, best paper, poster etc.) › Scientific
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Best Student Paper Award
Refaei Afshar, R. (Recipient), Zhang, Y. (Recipient), Firat, M. (Recipient) & Kaymak, U. (Recipient), 21 Feb 2019
Prize: Other › Career, activity or publication related prizes (lifetime, best paper, poster etc.) › Scientific
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Best Student Paper Award of ICAART 2022
Kerkkamp, D. (Recipient), Bukhsh, Z. (Recipient), Zhang, Y. (Recipient) & Jansen, N. (Recipient), 2022
Prize: Other › Career, activity or publication related prizes (lifetime, best paper, poster etc.) › Scientific
Activities
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The 19th Learning and Intelligent Optimization Conference
Zhang, Y. (Chair)
15 Jun 2025 → 19 Jun 2025Activity: Participating in or organising an event types › Conference › Scientific
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Workshop on Trustworthy Sequential Decision-making and Optimization (ECAI2024)
Baier, H. (Organiser), Bliek, L. (Organiser), Bukhsh, Z. (Organiser), Grau Garcia, I. (Organiser), Wu, Y. (Organiser) & Zhang, Y. (Organiser)
19 Oct 2024 → 20 Oct 2024Activity: Participating in or organising an event types › Workshop, seminar, course or exhibition › Scientific
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From random heuristics to smarter policies: exploring offline RL in combinatorial optimization
Zhang, Y. (Speaker)
6 Nov 2025 → 7 Nov 2025Activity: Talk or presentation types › Keynote talk › Scientific
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2nd EURO PhD School Data Science Meets Combinatorial Optimisation
Zhang, Y. (Organiser), Jiang, X. (Organiser), Smit, I. G. (Organiser) & Yong, Y.-M. (Organiser)
25 Aug 2025 → 29 Aug 2025Activity: Participating in or organising an event types › Workshop, seminar, course or exhibition › Scientific
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The Seventh Data Science Meets Optimization Workshop (ECML-PKDD-25)
Wu, Y. (Organiser), Zhang, Y. (Organiser), Mandi, J. (Organiser), Yorke-Smith, N. (Organiser), Lau, H. C. (Organiser) & de Causmaecker, P. (Organiser)
2025Activity: Participating in or organising an event types › Workshop, seminar, course or exhibition › Scientific