Carnegie Mellon University
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Joris Kinable
Postdoctoral Fellow, RI
Email:
Office: NSH 4209
Phone: (412) 268-5921
  Mailing address:
Carnegie Mellon University
Robotics Institute
5000 Forbes Ave
Pittsburgh, PA 15213
Research Interests

Research and Teaching Interests

Operations research, business analytics, discrete optimization, integrated methods and decomposition approaches, integer and constraint programming, combinatorial algorithms, parallelization, real-world applications, routing and scheduling.

Curriculum Vitae
Research Statement
Teaching Statement

Awards and Honors

Publications

A select number of articles and preprints are available here. For an up-to-date list of publications, working papers, and selected talks, please refer to my Curriculum Vitae

Teaching

  • Operations Research Implementations
    MBA elective course, co-taught with Dr. M. Trick, Dr. W-J van Hoeve
    Carnegie Mellon University, 2014, 2015
    Course ratings: 4.91/5, 4.73/5

  • Optimization Techniques
    Graduate course, co-taught with Dr. G. Vanden Berghe
    KU Leuven, 2012, 2013

Professional Memberships

Open Source Projects

I am a big advocate of Open Source projects as they offer a great way to share code. Re-usable code lowers the implementation burden for researchers, giving them more time to perform actual research. Furthermore, relying on, and referring to publicly available, thoroughly documented code, improves the transparency of any (academic) publication. Finally relying on open source code in your projects may reduce the likelihood of bugs, as the code is being used (and hence tested) by a large user base.
I am involved in the following Open Source Projects:

  • JGraphtT
  • Role: project maintainer, contributor
    JGraphT is a Java library providing mathematical graph-theory data structures and algorithms. JGraphT has been downloaded over 200,000 times, averaging 1000 downloads/month.

  • COIN-OR Java Operations Research Library
  • Role: project creator
    jORLib is a Java library providing algorithms and frameworks for Operations Research