Projecten per jaar
Persoonlijk profiel
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 “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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Netwerk
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Projecten
- 2 Afgelopen
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: Onderzoek direct
Onderzoeksoutput
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 blz., 104866.Onderzoeksoutput: Bijdrage aan tijdschrift › Tijdschriftartikel › Academic › peer review
Remaining useful lifetime prediction via deep domain adaptation
da Costa, P. R. D. O., Akçay, A., Zhang, Y. & Kaymak, U., 1 mrt 2020, In : Reliability Engineering and System Safety. 195, 13 blz., 106682.Onderzoeksoutput: Bijdrage aan tijdschrift › Tijdschriftartikel › Academic › peer review
Open Access
Bestand
1
Citaat
(Scopus)
35
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 mei 2019, CIFEr 2019 - IEEE Conference on Computational Intelligence for Financial Engineering and Economics. Piscataway: Institute of Electrical and Electronics Engineers, 8 blz. 8759106Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review
Open Access
Bestand
4
Citaten
(Scopus)
51
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., okt 2019, 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC) . Piscataway: Institute of Electrical and Electronics Engineers, blz. 3693-3698 6 blz. 8914590Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review
Open Access
Bestand
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, blz. 2611-2619 9 blz. 8789915Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review
Open Access
Bestand
3
Citaten
(Scopus)
100
Downloads
(Pure)
Prijzen
Best Paper Award for 2017 by Omega-International Journal of Management Science
Qing Chuan Ye (Ontvanger), Yingqian Zhang (Ontvanger) & Rommert Dekker (Ontvanger), 2017
Prijs: Anders › Werk, activiteit of publicatie gerelateerde prijzen (lifetime, best paper, poster etc.) › Wetenschappelijk
Best Industrial Paper Award
Herbert van Leeuwen (Ontvanger), Yingqian Zhang (Ontvanger), Kalliopi Zervanou (Ontvanger), Shantanu Mullick (Ontvanger), Uzay Kaymak (Ontvanger) & Tom de Ruijter (Ontvanger), 2020
Prijs: Anders › Werk, activiteit of publicatie gerelateerde prijzen (lifetime, best paper, poster etc.) › Wetenschappelijk
Best paper award of MATES 2008
Yingqian Zhang (Ontvanger), 2008
Prijs: Anders › Werk, activiteit of publicatie gerelateerde prijzen (lifetime, best paper, poster etc.) › Wetenschappelijk
Best Student Paper Award
Reza Refaei Afshar (Ontvanger), Yingqian Zhang (Ontvanger), Murat Firat (Ontvanger) & Uzay Kaymak (Ontvanger), 21 feb 2019
Prijs: Anders › Werk, activiteit of publicatie gerelateerde prijzen (lifetime, best paper, poster etc.) › Wetenschappelijk
Bestand
Activiteiten
Agent-Based Models for Exploring Public Policy Planning
Yingqian Zhang (Organisator)15 jul 2019 → 19 jul 2019
Activiteit: Types deelname aan of organisatie van een evenement › Workshop, seminar, cursus of expositie › Wetenschappelijk
Data Science Meets Optimisation
Yingqian Zhang (Organisator)11 aug 2019
Activiteit: Types deelname aan of organisatie van een evenement › Workshop, seminar, cursus of expositie › Wetenschappelijk
34rd AAAI Conference on Artificial Intelligence
Yingqian Zhang (Lid van programmacomité)2020
Activiteit: Types deelname aan of organisatie van een evenement › Congres › Wetenschappelijk
Data Science Meets Optimisation
Yingqian Zhang (Organisator)2020
Activiteit: Types deelname aan of organisatie van een evenement › Workshop, seminar, cursus of expositie › Wetenschappelijk
Improving ambulance dispatch policy using AI
Yingqian Zhang (Uitgenodigde spreker)6 nov 2019
Activiteit: Types gesprekken of presentaties › Genodigd spreker › Wetenschappelijk
Cursussen
Scriptie
Achieving more accurate truck warning lights by descriptive and predictive analytics
Auteur: van de Donk, W., 31 mei 2019Begeleider: Zhang, Y. (Afstudeerdocent 1), Kaymak, U. (Afstudeerdocent 2) & Zervanou, K. (Afstudeerdocent 2)
Scriptie/masterproef: Master
Bestand
A deep graph convolutional neural network aiding in finding feasible shunt plans
Auteur: van de Ven, A., 28 sep 2018Begeleider: Zhang, Y. (Afstudeerdocent 1) & Eshuis, H. (Afstudeerdocent 2)
Scriptie/masterproef: Master
Bestand
Ambient temperature prediction of pharmaceutical air freight
Auteur: Terpstra, B., 28 feb 2019Begeleider: Zhang, Y. (Afstudeerdocent 1) & Akcay, A. (Afstudeerdocent 2)
Scriptie/masterproef: Master
Bestand
Analysis of skills needed for ICT employees in the Netherlands: a text mining approach to job vacancies
Auteur: de Ridder, E., 28 jun 2019Begeleider: Kaymak, U. (Afstudeerdocent 1), Sadowski, B. (Afstudeerdocent 2), Raiteri, E. (Afstudeerdocent 2), Zervanou, K. (Afstudeerdocent 2) & Zhang, Y. (Afstudeerdocent 2)
Scriptie/masterproef: Master
Bestand
Applications of time-to-event data analysis in root cause analysis of medical imaging systems
Auteur: Xia, H., 31 okt 2019Begeleider: Zhang, Y. (Afstudeerdocent 1), Akcay, A. (Afstudeerdocent 2) & Dijkman, R. (Afstudeerdocent 2)
Scriptie/masterproef: Master
Bestand