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Personal profile

Research profile

Yingqian Zhang is as an Assistant 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 big data, designing efficient algorithms, conducting simulations, and developing models and mechanisms involving cooperative or self-interested players. The application domains of Yingqian’s current research include e-commerce, transportation and logistics, manufacturing, and sharing economy.

Her current funded projects examine Data driven decision-making in e-commerce and Data analytics for 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 at 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.

At TU/e, she is part of Business Process Intelligence and Smart Mobility research clusters at the Information Systems group. She also teaches at the Jheronimus Academy of Data Science and is on the board of BNVKI (Benelux Association for Artificial Intelligence). 

Yingqian regularly contributes to pubilsh in the leading journals and conferences. She reviews papers for several journals such as Artificial Intelligence, IEEE Transactions on TKDE, Journal of Parallel Computing and Journal Distributed Computing and is a member of the technical Program Committee for more than 20 AI conferences, including IJCAI, AAMAS, ECAI, AAAI.

Quote

I optimize decision-making in a data-rich environment using AI technology.

Fingerprint Fingerprint is based on mining the text of the person's scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

Space time adaptive processing Engineering & Materials Science
Batching Mathematics
Approximation algorithms Engineering & Materials Science
Task Allocation Mathematics
Tabu Search Algorithm Mathematics
Tabu search Engineering & Materials Science
Scheduling Engineering & Materials Science
Heuristics Mathematics

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

Projects 2017 2019

Data Analytics for Trade Lane Risk Assessments and Control (DARA)

Croes, S., Jansen, R., Jansen, R., Akçay, A., Akçay, A., Benckhuijsen - Mertens, P., Zhang, Y. & Faghih Roohi, S.

1/06/1731/05/19

Project: Research direct

Programmatic Advertising Support System (PASS)

Jansen, R., Jansen, R., Zhang, Y., Gerrits, E. & Rhuggenaath, J.

1/07/1730/06/18

Project: Research direct

Research Output 1998 2019

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

Refaei Afshar, R., Zhang, Y., Firat, M. & Kaymak, U., 4 May 2019, (Accepted/In press) IEEE CIFEr 2019: 2019 IEEE Conference on Computational Intelligence for Financial Engineering and Economics.

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

Open Access
File
Websites
Marketing
Sales
Reinforcement learning

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

Rhuggenaath, J., Akcay, A., Zhang, Y. & Kaymak, U., 2019, (Accepted/In press) 2019 IEEE Congress on Evolutionary Computation. Institute of Electrical and Electronics Engineers (IEEE)

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

Open Access
File

A reinforcement learning method to select ad networks in Waterfall Strategy

Refaei Afshar, R., Zhang, Y., Firat, M. & Kaymak, U., 2019, Proceedings of the 11th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART. SCITEPRESS-Science and Technology Publications, Lda., p. 265-265

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

Open Access
File
Reinforcement learning
Websites
Marketing

Determining capacity of shunting yards by combining graph classification with local search

van de Ven, A. J. G., Zhang, Y., Lee, W-J., Eshuis, H. & Wilbik, A. M., 2019, 11th International Conference on Agents and Artificial Intelligence (ICAART 2019).

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

Open Access
File

Fuzzy logic based pricing combined with adaptive search for reserve price optimization in online ad auctions

Rhuggenaath, J., Akcay, A., Zhang, Y. & Kaymak, U., 2019, (Accepted/In press) 2019 IEEE International Conference on Fuzzy Systems. Institute of Electrical and Electronics Engineers (IEEE)

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

Open Access
File

Prizes

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

Yingqian Zhang (Recipient), 2017

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

Management science

Best paper award of MATES 2008

Yingqian Zhang (Recipient), 2008

Recognition: 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

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

File
Artificial intelligence
Students

Activities 2017 2019

  • 8 Publication peer-review
  • 1 Membership of board
  • 1 Invited talk
  • 1 Plenary talk

18th (International Conference on Autonomous Agents and Multiagent Systems (Event)

Yingqian Zhang (Editorial board member)
2019

Activity: Publication peer-review and editorial work typesPublication peer-reviewScientific

33rd AAAI Conference on Artificial Intelligence (Event)

Yingqian Zhang (Editorial board member)
2019

Activity: Publication peer-review and editorial work typesPublication peer-reviewScientific

27th International Joint Conference on Artificial Intelligence, IJCAI 2018 (Event)

Yingqian Zhang (Editorial board member)
2018

Activity: Publication peer-review and editorial work typesPublication peer-reviewScientific

Introduction to Machine Learning for Prognostics & Health Management

Yingqian Zhang (Keynote speaker)
2018

Activity: Talk or presentation typesPlenary talkScientific

Eight International Symposium on Data-driven Process Discovery and Analysis (Event)

Yingqian Zhang (Editorial board member)
2018

Activity: Publication peer-review and editorial work typesPublication peer-reviewScientific

Courses

Business Analytics

1/09/15 → …

Course

Business Intelligence

1/09/1331/08/19

Course

Design of Service Operations

1/09/15 → …

Course

Student theses

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

Boosted tree learning for balanced item recommendation in online retail

Author: Dikker, J., 18 Dec 2017

Supervisor: Zhang, Y. (Supervisor 1), Menkovski, V. (Supervisor 2), Kaymak, U. (Supervisor 1) & Coenraad, S. (External person) (External coach)

Student thesis: Master

File

Characterizing MRI exams by investigating their scans

Author: Zhao, Y., 30 Oct 2017

Supervisor: Buijs, J. (Supervisor 1), Korst, J. H. (External person) (External coach), Dixit, P. (Supervisor 2) & Zhang, Y. (Supervisor 2)

Student thesis: Master

File