Zikrija Avdagic received the BSc.,
MSc. and DSc. degrees from the University of Sarajevo, Faculty of Electrical
Engineering, Bosnia and Herzegovina in 1977, 1986, and 1997 respectively.
He conducted research related to doctorial thesis Method for Real
Time Knowledge Based Modeling and applied it to elevator model at
Universitaet Sttutgart, Institut fuer Automatisierungs und Softwaretechik
in 1995 as DAAD scholarship holder.
From 1982 to 1994 he was with Energoinvest Institute for Automation
and Computer Sciences - IRCA, directing development of real time algorithms
and design techniques applied to ship control systems.He joined the
Faculty of Electrical Engineering as Assistant Professor in 1987 teaching
undergraduate courses on Real Time Computer Systems, Digital Control
Systems, Artificial Intelligence&Expert Systems, and from 2000
teaching graduate courses on methods in Applied Artificial Intelligence,
and Management of Networked Systems.
Today, he is professor at the Faculty of Electrical Engineering, Department
for Computing and Informatics and lectures at BSc, MSc, and DSc studies
covering field on Artificial Intelligence and Bioinformatics.
The focus of his research are methods, and algorithms dealing with Fuzzy
Computing, Neural Network Computing, Evolutionary Computation, Biomedical
Engineering and Real Time Systems.
In cooperation with fellow colleagues throughout world's universities
(UNCC Charlotte-U.S., Erlangen-Nuernberg-BDR , Paderborn-BDR, Bristol-UK),
Dr. Avdagic has realized projects with results published in Proceedings,
Journals and Books related to index databases ( IEEE-Explorer, Inspec,
Ebesco, Mathscinet, ACM Digital Library and Eurographics). Paper
entitled Design of Artificial Neural network Controller Based on Adaptible
Parameters Evolutionary Algorithms was published in International Scientific
Dr. Avdagic is a reciepient of numerous awards including WUS and
DAAD programs, SOROS and UNESCO-foundation. In 2002 he was awarded
the Fulbright Stipend for research in Genetic Algorithms in
Solving Complex Engineering Problems. The scientific papers: (presented
at EMCSR symposiums Vienna 2004 and 2006) (1)Performance of Genetic
Algorithm with Adaptive Mutation Probability Dependant on Fitness in
Dynamic Environments and (2)Adaptive Mutation in Genetic Algorithm with
Binary Coding received an award for the best work by Soft Computing
and Knowledge Based Systems Sections.
At the Faculty of Electrical Engineering, Profesor Avdagic founded the
Laboratory for Intelligent Control, Laboratory for Computer Sciences
and Laboratory for Center of Exellence.
He is a member of IEEE-Computational Intelligence Society, IEEE-Systems,
Man and Cybernetic Society, and Association for Computing Machinery.
In 2007., Dr. Avdagic founded the IEEE-Chapter: Computational
Intelligence under IEEE-BH Society.