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Persoonlijk profiel

Research profile

Yingqian Zhang is as 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. The application domains of Yingqian’s current research include e-commerce, transportation and logistics, and sharing economy.

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 decision-making in a data-rich environment using AI.

Vingerafdruk Duik in de onderzoeksthema's waar Yingqian Zhang actief is. Deze onderwerplabels komen voort uit het werk van deze persoon. Samen vormen ze een unieke vingerafdruk.

Space time adaptive processing Engineering en materiaalwetenschappen
Batching Rekenkunde
Approximation algorithms Engineering en materiaalwetenschappen
Task Allocation Rekenkunde
Tabu Search Algorithm Rekenkunde
Tabu search Engineering en materiaalwetenschappen
Scheduling Engineering en materiaalwetenschappen
Heuristics Rekenkunde

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Projecten 2017 2019

Programmatic Advertising Support System (PASS)

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

1/07/1730/06/18

Project: Onderzoek direct

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

Jansen, R., Jansen, R., Akçay, A., Akçay, A., Benckhuijsen - Mertens, P. & Zhang, Y.

1/06/1731/05/19

Project: Onderzoek direct

Onderzoeksoutput 1998 2020

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 tijdschriftTijdschriftartikelAcademicpeer review

Open Access
Bestand
Neural networks
Condition monitoring
Propulsion
NASA
Health
3 Citaties (Scopus)

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. 8759106

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

Open Access
Bestand
Websites
Marketing
Sales
Reinforcement learning
2 Citaties (Scopus)

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

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

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

Open Access
Bestand
Particle swarm optimization (PSO)
Marketing
Experiments
3 Citaties (Scopus)

A reinforcement learning method to select ad networks in Waterfall Strategy

Refaei Afshar, R., Zhang, Y., Firat, M. & Kaymak, U., 2019, ICAART 2019 - Proceedings of the 11th International Conference on Agents and Artificial Intelligence. Steels, L., Rocha, A. & van den Herik, J. (redactie). SCITEPRESS-Science and Technology Publications, Lda., Vol. 2, blz. 256-265 10 blz.

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

Open Access
Bestand
Reinforcement learning
Websites
Marketing

Column generation based math-heuristic for classification trees

Firat, M., Crognier, G., Gabor, A., Hurkens, C. A. J. & Zhang, Y., 6 jul 2019, (Ingediend) In : Computers & Operations Research. 29 blz., 1810.06684v1

Onderzoeksoutput: Bijdrage aan tijdschriftTijdschriftartikelAcademicpeer review

Bestand
Classification Tree
Column Generation
Decision trees
Linear programming
Integer Linear Programming

Prijzen

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

Yingqian Zhang (Ontvanger), 2017

Prijs: AndersWerk, activiteit of publicatie gerelateerde prijzen (lifetime, best paper, poster etc.)Wetenschappelijk

Management science

Best paper award of MATES 2008

Yingqian Zhang (Ontvanger), 2008

Prijs: AndersWerk, activiteit of publicatie gerelateerde prijzen (lifetime, best paper, poster etc.)Wetenschappelijk

Multi agent systems
Scheduling

Best Student Paper Award

Reza Refaei Afshar (Ontvanger), Yingqian Zhang (Ontvanger), Murat Firat (Ontvanger) & Uzay Kaymak (Ontvanger), 21 feb 2019

Prijs: AndersWerk, activiteit of publicatie gerelateerde prijzen (lifetime, best paper, poster etc.)Wetenschappelijk

Bestand
Artificial intelligence
Students

Activiteiten 2017 2020

Agent-Based Models for Exploring Public Policy Planning

Yingqian Zhang (Organisator)
15 jul 201919 jul 2019

Activiteit: Types deelname aan of organisatie van een evenementWorkshop, seminar, cursus of expositieWetenschappelijk

Data Science Meets Optimisation

Yingqian Zhang (Organisator)
11 aug 2019

Activiteit: Types deelname aan of organisatie van een evenementWorkshop, seminar, cursus of expositieWetenschappelijk

34rd AAAI Conference on Artificial Intelligence

Yingqian Zhang (Lid van programmacomité)
2020

Activiteit: Types deelname aan of organisatie van een evenementCongresWetenschappelijk

Improving ambulance dispatch policy using AI

Yingqian Zhang (Uitgenodigde spreker)
6 nov 2019

Activiteit: Types gesprekken of presentatiesGenodigd sprekerWetenschappelijk

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

Yingqian Zhang (Lid van programmacomité)
16 sep 201920 sep 2019

Activiteit: Types deelname aan of organisatie van een evenementCongresWetenschappelijk

Cursussen

Business Analytics

1/09/15 → …

Cursus

Design of Service Operations

1/09/15 → …

Cursus

Scriptie

Achieving more accurate truck warning lights by descriptive and predictive analytics

Auteur: van de Donk, W., 31 mei 2019

Begeleider: 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 2018

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

Scriptie/masterproef: Master

Bestand

Ambient temperature prediction of pharmaceutical air freight

Auteur: Terpstra, B., 28 feb 2019

Begeleider: 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 2019

Begeleider: 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 2019

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

Scriptie/masterproef: Master

Bestand