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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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Decision trees Engineering & Materials Science
Linear programming Engineering & Materials Science
Learning systems Engineering & Materials Science
Reinforcement learning Engineering & Materials Science
Marketing Engineering & Materials Science
Task Allocation Mathematics
Planning Engineering & Materials Science
Scheduling Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Projects 2017 2019

Research Output 1998 2020

44 Downloads (Pure)

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

Classification Tree
Column Generation
Decision trees
Linear programming
Integer Linear Programming
15 Downloads (Pure)

Remaining useful lifetime prediction via deep domain adaptation

da Costa, P. R. D. O., Akçay, A., Zhang, Y. & Kaymak, U., 1 Mar 2020, In : Reliability Engineering and System Safety. 195, 13 p., 106682.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
File
Neural networks
Condition monitoring
Propulsion
NASA
Health
4 Citations (Scopus)
44 Downloads (Pure)

A decision support method to increase the revenue of ad publishers in waterfall strategy

Refaei Afshar, R., Zhang, Y., Firat, M. & Kaymak, U., 1 May 2019, CIFEr 2019 - IEEE Conference on Computational Intelligence for Financial Engineering and Economics. Piscataway: Institute of Electrical and Electronics Engineers, 8 p. 8759106

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

Open Access
File
Websites
Marketing
Sales
Reinforcement learning
4 Downloads (Pure)

A heuristic policy for dynamic pricing and demand learning with limited price changes and censored demand

Rhuggenaath, J., de Oliveira da Costa, P. R., Akcay, A., Zhang, Y. & Kaymak, U., Oct 2019, 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC) . Piscataway: Institute of Electrical and Electronics Engineers, p. 3693-3698 6 p. 8914590

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

Open Access
File
Dynamic demand
Price changes
Dynamic pricing
Seller
Heuristics
3 Citations (Scopus)
85 Downloads (Pure)

A PSO-based algorithm for reserve price optimization in online ad auctions

Rhuggenaath, J., Akcay, A., Zhang, Y. & Kaymak, U., Jun 2019, 2019 IEEE Congress on Evolutionary Computation, CEC 2019 - Proceedings. Piscataway: Institute of Electrical and Electronics Engineers, p. 2611-2619 9 p. 8789915

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

Open Access
File
Particle swarm optimization (PSO)
Marketing
Experiments

Prizes

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

Yingqian Zhang (Recipient), 2017

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

Management science

Best paper award of MATES 2008

Yingqian Zhang (Recipient), 2008

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

Multi agent systems
Scheduling

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
Artificial intelligence
Students

Activities 2017 2020

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

Data Science Meets Optimisation

Yingqian Zhang (Organiser)
11 Aug 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

Improving ambulance dispatch policy using AI

Yingqian Zhang (Invited speaker)
6 Nov 2019

Activity: Talk or presentation typesInvited talkScientific

ECML PKDD 2019 The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases

Yingqian Zhang (Member of programme committee)
16 Sep 201920 Sep 2019

Activity: Participating in or organising an event typesConferenceScientific

Courses

Business Analytics

1/09/15 → …

Course

Design of Service Operations

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

File

Applications of time-to-event data analysis in root cause analysis of medical imaging systems

Author: Xia, H., 31 Oct 2019

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

Student thesis: Master

File