|
Dr hab. Wojciech Bożejko
Institute of Computer Engineering,
Control and Robotics,
Wrocław University of Technology
Janiszewskiego 11-17,
50-372 Wrocław, Poland
email: wojciech.bozejko@pwr.wroc.pl
Wojciech
Bożejko is an assistant professor at Wrocław University of
Technology. He obtained M.Sc. in University of Wroclaw, Institute of Computer
Science in 1999, Ph.D. in Wroclaw University of Technology, Institute of
Computer Engineering, Control and Robotics in 2003 and D.Sc. (habilitation) in
Wrocław University of Technology, Faculty of Electronics, in 2011. He is an
author of over 120 papers (and over 50 citations on ISI Web of Knowledge) in
journals and conference proceedings from the field of parallel processing,
scheduling and optimization. He is also a reviewer of journals in this
field: European Journal of Operational Research, Journal of
Intelligent Manufacturing, Journal of Parallel and Distributed Computing,
Computers & Industrial Engineering, IEEE Transactions on Automation Science
and Engineering, International Journal of Advanced Manufacturing Technology.
He is interested in parallel algorithms, GPU computing,
scheduling and discrete optimization. He is also a qualified musician. He
graduated (M.A.) from the Academy of Music in Wroclaw in a specialization of piano*.
Degrees:
-
M.A. - 1998, Music Academy of Wrocław, Poland
(piano)
-
M.Sc. - 1999, Institute of Computer Science, University of Wrocław, Poland
-
Ph.D. - 2003, Institute of Engineering Cybernetics, Technical University of Wrocław, Poland
-
D.Sc. (habilitation) - 2011, Faculty of Electronics, Technical University
of Wrocław, Poland
Research interests:
-
methods of solving NP-hard problems
- sequential and parallel metaheuristics
- theoretic properties
- solution's space and its properties
- parallel methods (exact and approximate)
-
scheduling problems
- single machine problems
- flow shop problem
- job shop problem
- Traveling Salesman Problem
- Quadric Assignment Problem
- flexible manufacturing systems
- vehicle routing problems
-
parallel computing
- parallel combinatorial optimization algorithms
- parallel graph algorithms
- Ada, MPI,
- supercomputing, clusters
- programming in CUDA, calculations on GPUs.
-
project management, automation in construction
Hobby:
|