Scholar
Mustafa Mısır
Google Scholar ID: MuJmTFUAAAAJ
Assoc. Prof. of Data and Computational Science, Duke Kunshan University
Algorithm Design
Automated Machine Learning
Meta-learning
Hyper-heuristics
Follow
Homepage
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Google Scholar
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Citations & Impact
All-time
Citations
768
H-index
14
i10-index
21
Publications
20
Co-authors
36
list available
Contact
Email
mustafa.misir@dukekunshan.edu.cn
CV
Open ↗
LinkedIn
Open ↗
Publications
20 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- h-Index: 20
- COST STSM (Short-Term Scientific Missions) Grant by Cost Action CA15140, supporting my research visit to University College Dublin, 2019 (unused)
- COST ITC Conference Grant for Early Career Investigators (ECI) by Cost Action CA15140, 2019
- TUBITAK 2224-A Support to Participate in International Scientific Activities, 2019 (unused)
- TUBITAK 2232 Reintegration Research Fellowship, 2018
- China Thousand Young Talents
Research Experience
- Assoc. Prof., Data and Computational Science, Duke Kunshan University, China, current position
- Assoc. Prof.*, Computer Engineering, Istinye University, TR, 2019-2021
- Assoc. Prof., Computer Science, Nanjing University of Aeronautics and Astronautics, CN, 2016-2019
- Postdoctoral Researcher, Computer Science, University of Freiburg, DE, 2015-2016
- Postdoctoral Researcher, Information Systems, Singapore Management University, SG, 2013-2015
- Visiting Researcher, Informatics, BarcelonaTech (UPC) & University of Zurich, ES & CH, 2013
- Postdoctoral Researcher, Computer Science, INRIA Saclay - Universite Paris Sud XI, FR, 2012-2013
Education
PhD, Computer Science, KU Leuven, BE, 2009-2012
Background
Research interests include Automated Algorithm Design (Machine Learning + Algorithm Design), Automated Machine Learning (AutoML), Data Science, and Operations Research. These relate to Evolutionary Algorithms, Computational Intelligence, Meta/Hyper-heuristics, Adaptive/Reactive/Autonomous Search, Algorithm Portfolios, Algorithm Configuration (Tuning + Control), Meta-learning, Empirical Algorithmics, Recommender Systems (Collaborative Filtering), Boolean Satisfiability, Constraint Programming, Combinatorial Optimization, Data Mining (Knowledge Discovery), Decision Support Systems, and Automated Planning/Scheduling.
Miscellany
Leading the Machine Learning and Operations Research (MEmORy) Lab.
Co-authors
36 total
Greet Vanden Berghe
Department of Computer Science, KU Leuven
Patrick De Causmaecker
Emeritus Professor, Faculty of Engineering Science, Computer Science, KU Leuven
Ender Özcan
Professor of Computer Science and Operations Research, University of Nottingham
Co-author 4
Co-author 5
Gabriela Ochoa
Professor of Computer Science, University of Stirling
Co-author 7
Co-author 8
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