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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

Research Output

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., 28 Apr 2020, (Accepted/In press) In : International Journal of Production Economics. 229, p. 107774 13 p., 107774.

Research output: Contribution to journalArticleAcademicpeer-review

  • A state aggregation approach for solving knapsack problem with Deep Reinforcement Learning

    Refaei Afshar, R., Zhang, Y., Firat, M. & Kaymak, U., 25 Apr 2020, In : arXiv. 17 p., 2004.12117.

    Research output: Contribution to journalArticleAcademic

    Open Access
    File
  • Column generation based heuristic for learning classification trees

    Firat, M., Crognier, G., Gabor, A. F., Hurkens, C. A. J. & Zhang, Y., Apr 2020, In : Computers & Operations Research. 116, 11 p., 104866.

    Research output: Contribution to journalArticleAcademicpeer-review

  • 49 Downloads (Pure)

    Dynamic pricing using Thompson Sampling with fuzzy events

    Rhuggenaath, J., de O. da Costa, P. R., Zhang, Y., Akcay, A. & Kaymak, U., 2020, (Accepted/In press) 18th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    Open Access
    File
  • Open Access
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  • Prizes

    Best Paper Award for 2017 by Omega-International Journal of Management Science

    Qing Chuan Ye (Recipient), Yingqian Zhang (Recipient) & Rommert Dekker (Recipient), 2017

    Prize: OtherCareer, activity or publication related prizes (lifetime, best paper, poster etc.)Scientific

  • Best Industrial Paper Award

    Herbert van Leeuwen (Recipient), Yingqian Zhang (Recipient), Kalliopi Zervanou (Recipient), Shantanu Mullick (Recipient), Uzay Kaymak (Recipient) & Tom de Ruijter (Recipient), 2020

    Prize: OtherCareer, activity or publication related prizes (lifetime, best paper, poster etc.)Scientific

    Best Student Paper Award

    Reza Refaei Afshar (Recipient), Yingqian Zhang (Recipient), Murat Firat (Recipient) & Uzay Kaymak (Recipient), 21 Feb 2019

    Prize: OtherCareer, activity or publication related prizes (lifetime, best paper, poster etc.)Scientific

    File
  • Best paper award of MATES 2008

    Yingqian Zhang (Recipient), 2008

    Prize: OtherCareer, activity or publication related prizes (lifetime, best paper, poster etc.)Scientific

  • Activities

    Data Science Meets Optimisation

    Yingqian Zhang (Organiser)
    11 Aug 2019

    Activity: Participating in or organising an event typesWorkshop, seminar, course or exhibitionScientific

    Agent-Based Models for Exploring Public Policy Planning

    Yingqian Zhang (Organiser)
    15 Jul 201919 Jul 2019

    Activity: Participating in or organising an event typesWorkshop, seminar, course or exhibitionScientific

    34rd AAAI Conference on Artificial Intelligence

    Yingqian Zhang (Member of programme committee)
    2020

    Activity: Participating in or organising an event typesConferenceScientific

    Data Science Meets Optimisation

    Yingqian Zhang (Organiser)
    2020

    Activity: Participating in or organising an event typesWorkshop, seminar, course or exhibitionScientific

    Improving ambulance dispatch policy using AI

    Yingqian Zhang (Invited speaker)
    6 Nov 2019

    Activity: Talk or presentation typesInvited talkScientific

    Courses

    Business Analytics

    1/09/15 → …

    Course

    Student theses

    Achieving more accurate truck warning lights by descriptive and predictive analytics

    Author: van de Donk, W., 31 May 2019

    Supervisor: Zhang, Y. (Supervisor 1), Kaymak, U. (Supervisor 2) & Zervanou, K. (Supervisor 2)

    Student thesis: Master

    File

    A deep graph convolutional neural network aiding in finding feasible shunt plans

    Author: van de Ven, A., 28 Sep 2018

    Supervisor: Zhang, Y. (Supervisor 1) & Eshuis, H. (Supervisor 2)

    Student thesis: Master

    File

    Ambient temperature prediction of pharmaceutical air freight

    Author: Terpstra, B., 28 Feb 2019

    Supervisor: Zhang, Y. (Supervisor 1) & Akcay, A. (Supervisor 2)

    Student thesis: Master

    File

    Analysis of skills needed for ICT employees in the Netherlands: a text mining approach to job vacancies

    Author: de Ridder, E., 28 Jun 2019

    Supervisor: Kaymak, U. (Supervisor 1), Sadowski, B. (Supervisor 2), Raiteri, E. (Supervisor 2), Zervanou, K. (Supervisor 2) & Zhang, Y. (Supervisor 2)

    Student thesis: Master

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