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
Co-author 2
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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