Mustafa Mısır
Scholar

Mustafa Mısır

Google Scholar ID: MuJmTFUAAAAJ
Assoc. Prof. of Data and Computational Science, Duke Kunshan University
Algorithm DesignAutomated Machine LearningMeta-learningHyper-heuristics
Citations & Impact
All-time
Citations
768
 
H-index
14
 
i10-index
21
 
Publications
20
 
Co-authors
36
list available
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.