Projects per year
Personal profile
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.
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.
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):
Network
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STABILITY : Sustainable Circular Life Extension Strategies for Inner-City Bridges and Quay Walls
3/12/22 → 2/12/26
Project: Research direct
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15706426 Generalizable and Understandable Self-Learning Approaches for Dynamic, Large-Scale Resource Management Optimization Problems- GULAD
1/09/21 → 31/08/25
Project: Research direct
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Dynaplex, minimizing disruptions in Dutch logistics
van Jaarsveld, W. L., Temizoz, T., Dijkman, R. M., Zhang, Y. & Begnardi, L.
1/03/21 → 1/11/24
Project: Research direct
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Lane Analysis & Route Advisor
Zhang, Y., Akçay, A. E., Reshadat, V. & Zervanou, K.
1/07/19 → 31/12/21
Project: Research direct
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Policies for the dynamic traveling maintainer problem with alerts
da Costa, P., Verleijsdonk, P., Voorberg, S., Akcay, A., Kapodistria, S., van Jaarsveld, W. & Zhang, Y., 16 Mar 2023, In: European Journal of Operational Research. 305, 3, p. 1141-1152 12 p.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile9 Downloads (Pure) -
An Automated Deep Reinforcement Learning Pipeline for Dynamic Pricing
Refaei Afshar, R., Rhuggenaath, J., Zhang, Y. & Kaymak, U., 27 Jun 2022, (E-pub ahead of print) In: IEEE Transactions on Artificial Intelligence. XX, X, 10 p.Research output: Contribution to journal › Article › Academic › peer-review
1 Downloads (Pure) -
Automated Reinforcement Learning: An Overview
Refaei Afshar, R., Zhang, Y., Vanschoren, J. & Kaymak, U., 13 Jan 2022, In: arXiv. 2022, 47 p., 2201.05000.Research output: Contribution to journal › Article › Academic
Open AccessFile27 Downloads (Pure) -
Comparing Interpretable AI Approaches for the Clinical Environment: an Application to COVID-19
Abbaspour Onari, M., Nobile, M. S., Grau, I., Fuchs, C., Zhang, Y., Boer, A-K. & Scharnhorst, V., 26 Aug 2022, 2022 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB 2022. Institute of Electrical and Electronics Engineers, p. 1-8 8 p. 9863020Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
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Deep Reinforcement Learning for Adaptive Parameter Control in Differential Evolution for Multi-Objective Optimization
Reijnen, R., Zhang, Y., Bukhsh, Z. & Guzek, M., 4 Dec 2022, (Accepted/In press) The 2022 IEEE Symposium Series on Computational Intelligence (IEEE SSCI) . IEEE Press, p. 804-811Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
Open AccessFile25 Downloads (Pure)
Prizes
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Best Paper Award for 2017 by Omega-International Journal of Management Science
Ye, Qing Chuan (Recipient), Zhang, Yingqian (Recipient) & Dekker, Rommert (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, Herbert (Recipient), Zhang, Yingqian (Recipient), Zervanou, Kalliopi (Recipient), Mullick, Shantanu (Recipient), Kaymak, Uzay (Recipient) & de Ruijter, Tom (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, Reza (Recipient), Zhang, Yingqian (Recipient), Firat, Murat (Recipient) & Kaymak, Uzay (Recipient), 21 Feb 2019
Prize: Other › Career, activity or publication related prizes (lifetime, best paper, poster etc.) › Scientific
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Best paper award of MATES 2008
Zhang, Yingqian (Recipient), 2008
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, David (Recipient), Bukhsh, Zaharah (Recipient), Zhang, Yingqian (Recipient) & Jansen, Nils (Recipient), 2022
Prize: Other › Career, activity or publication related prizes (lifetime, best paper, poster etc.) › Scientific
Activities
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Data Science Meets Optimisation
Yingqian Zhang (Organiser)
11 Aug 2019Activity: Participating in or organising an event types › Workshop, seminar, course or exhibition › Scientific
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Agent-Based Models for Exploring Public Policy Planning
Yingqian Zhang (Organiser)
15 Jul 2019 → 19 Jul 2019Activity: Participating in or organising an event types › Workshop, seminar, course or exhibition › Scientific
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EURO Meets NeurIPS 2022 Vehicle Routing Competition
Laurens Bliek (Organiser), Yingqian Zhang (Organiser), Reza Refaei Afshar (Organiser), Robbert Reijnen (Organiser) & Danilo Numeroso (Organiser)
2022 → …Activity: Participating in or organising an event types › Workshop, seminar, course or exhibition › Scientific
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Data Science Meets Optimization
Yingqian Zhang (Organiser)
19 Aug 2021 → 20 Aug 2021Activity: Participating in or organising an event types › Workshop, seminar, course or exhibition › Scientific
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Shaping responsible digital platforms
Yingqian Zhang (Speaker)
15 Apr 2021Activity: Talk or presentation types › Keynote talk › Professional