dr hab. Wojciech BOŻEJKO, prof. PWr
Department of Control Systems and Mechatronics,
Wrocław University of Technology
Janiszewskiego 11-17,
50-372 Wrocław, Poland
email: wojciech.bozejko(at)pwr.edu.pl
Wojciech
Bożejko is an Associated Professor at Wrocław University of
Technology. He obtained M.Sc. in University of Wroclaw, Institute of Computer
Science in 1999, Ph.D. in Wrocław University of Technology, Institute of
Engineering Cybernetics in 2003 and D.Sc. (habilitation) in Wrocław University of Technology, Faculty of Electronics, in 2011.
From June 1, 2013 he work as the Associated Professor in the Wrocław University of Technology, Faculty
of Electronics, Department of Control Systems and Mechatronics.
He is an author of over 200
peer-reviewed
papers (over 500 citations on
Scopus,
h-index: 14) published 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, Journal of Civil
Engineering and Management.
He is interested in parallel algorithms, GPU computing,
scheduling and discrete optimization. His Erdős
number is 4.
He is also a qualified musician,
graduated (Master of Arts degree)
in 1998 from the Academy of Music in Wroclaw in a specialization of piano*.
Degrees and positions:
-
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, Wrocław University of
Technology, Poland
-
D.Sc. (habilitation) - 2011, Faculty of Electronics, Wrocław University of
Technology, Poland
-
Assoc. Prof. (prof. nadzw.) - 2013, Wrocław University of
Technology, 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)
-
discrete optimization problems
- single machine scheduling problems
- flow shop scheduling problem
- job shop scheduling problem
- Traveling Salesman Problem
- Quadric Assignment Problem
- flexible manufacturing systems
- vehicle routing problems
- cyclic scheduling
-
parallel computing
- parallel combinatorial optimization algorithms
- parallel graph algorithms
- Ada, MPI,
- supercomputing, clusters
- programming in CUDA, calculations on GPUs.
-
project management, automation in construction
-
permutations groups
- new measures
- theoretical properties
-
free probability
Hobby:
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