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, particularly, machine learning, data-driven optimization, multi-agent system, and algorithm design.
She enjoys optimizing decision making with data, designing efficient algorithms, conducting simulations, and developing models and mechanisms involving cooperative or self-interested players.
Her current funded projects examine Prescriptive AI for decision-making in online AD auctions, predictive maintenance, lane selection in transportation, and service logistics.
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. She also teaches at the Jheronimus Academy of Data Science.
Yingqian is active in the AI community. She is on the board of BNVKI (Benelux Association for Artificial Intelligence), serves yearly as a member of the technical Program Committee for major AI conference such as IJCAI, AAAI, AAMAS, ECAI, and acts as a reviewer for journals including Artificial Intelligence, Autonomous Agents and Multi-agent Systems, IEEE Transactions on TKDE, Journal Distributed Computing. Recently she joined 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.
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Projects
- 2 Finished
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Data Analytics for Trade Lane Risk Assessments and Control (DARA)
Akçay, A. E., Akçay, A. E., Zhang, Y. & Faghih Roohi, S.
1/06/17 → 31/05/19
Project: Research direct
Research Output
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Combining Deep Reinforcement Learning with Search Heuristics for Solving Multi-Agent Path Finding in Segment-based Layouts
Reijnen, R., Zhang, Y., Nuijten, W. P. M., Senaras, C. & Goldak-Altgassen, M., 5 Jan 2021, 2020 IEEE Symposium Series on Computational Intelligence (SSCI 2020). IEEE Press, p. 2647-2654Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
Open AccessFile -
Data driven design for online industrial auctions
Ye, Q. C., Rhuggenaath, J., Zhang, Y., Verwer, S. E. & Hilgeman, M. J., 5 Jan 2021, In : Annals of Mathematics and Artificial Intelligence. XX, XResearch output: Contribution to journal › Article › Academic › peer-review
Open AccessFile -
Maximizing revenue for publishers using header bidding and ad exchange auctions
Rhuggenaath, J., Afshar, R. R., Akcay, A., Zhang, Y., Kaymak, U., Çolak, F. & Tanyerli, M., 2021, (Accepted/In press) In : Operations Research Letters. XX, XXResearch output: Contribution to journal › Article › Academic › peer-review
Open Access -
A group risk assessment approach for the selection of pharmaceutical product shipping lanes
Faghih-Roohi, S., Akcay, A., Zhang, Y., Shekarian, E. & de Jong, E., Nov 2020, In : International Journal of Production Economics. 229, p. 107774 13 p., 107774.Research output: Contribution to journal › Article › Academic › peer-review
1 Citation (Scopus)1 Downloads (Pure) -
A State Aggregation Approach for Solving Knapsack Problem with Deep Reinforcement Learning
Refaei Afshar, R., Zhang, Y., Firat, M. & Kaymak, U., 2020, Proceedings of The 12th Asian Conference on Machine Learning (ACML2020). p. 81-96 (Proceedings of Machine Learning Research; vol. 129).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
Open AccessFile69 Downloads (Pure)
Prizes
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Best Paper Award for 2017 by Omega-International Journal of Management Science
Qing Chuan Ye (Recipient), Zhang, Yingqian (Recipient) & Rommert Dekker (Recipient), 2017
Prize: Other › Career, activity or publication related prizes (lifetime, best paper, poster etc.) › Scientific
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Best Industrial Paper Award
Herbert van Leeuwen (Recipient), Zhang, Yingqian (Recipient), Zervanou, Kalliopi (Recipient), Mullick, Shantanu (Recipient), Kaymak, Uzay (Recipient) & Tom de Ruijter (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
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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AI for Industrial Decision-Making
Yingqian Zhang (Speaker)
20 Nov 2020Activity: Talk or presentation types › Keynote talk › Scientific
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Icelandic Research Fund (External organisation)
Yingqian Zhang (Member)
2020 → …Activity: Membership types › Membership of committee › Scientific
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Annals of Mathematics and Artificial Intelligence (Journal)
Yingqian Zhang (Editorial board member)
2020 → 2024Activity: Publication peer-review and editorial work types › Editorial activity › Scientific