Moharram Challenger received his B.Sc., and M.Sc. degrees in
computer engineering and software engineering from IAU-Shabestar and
IAU-Arak Universities (Iran) in 2001 and 2005 respectively. He also
received his Ph.D. in Information Technologies from International Computer
Institute, Ege University, in Feb 2016. He was
ranked as the 1st best and the 2nd best graduated students in his B.Sc. and
M.Sc. After PhD., he has worked as an external Postdoc researcher in IT
group, Wageningen University of Research (WUR) about 1 year.
During his professional life, from 2006 to 2010, he has been a
tenure-track faculty member, as a lecturer, at computer engineering
department, IAU-Shabestar University. Between Sep 2012-Dec 2016, he has
been R&D director of UNIT IT Ltd. company in which they were leading an
international ITEA project, called ModelWriter, among Belgium, Turkey and
France for three years. Also, Moharram was the leader of work package 6
(Dissemination, Exploitation, and Standardization) of ASSUME project in
which 39 partners (including Airbus, Bosch, Scania, Daimler, KHT Univ., KIT
Univ. and so on) from five countries, Germany (as the leader), Sweden,
Turkey, France, and the Netherlands are involved. Since, Jan 2017, Moharram
is a member of faculty as Assistant Professor at International Computer
Institute, Ege University.
In addition, Moharram has experience of executing three
university projects in Iran, membership of one Turkish national project for
18 months, team leading of a bilateral project between Slovenia and Turkey
for three years, and currently leading the team for a bilateral project
between Portuguese and Turkey. Moharram has more than 37 publications in
well-known journals (such as SQJ, CSI, EAAI, SP&E, IJCIS, ComSIS, MPE, COMLAN and IET) and conferences (such as
ECOOP, SPLASH-AGERE, CAiSE, CompSAC,
SAC, AAMAS-EMAS, QRS-MVV, ARCS-VERFE and FedCSIS).
His research interests include domain-specific (modeling) languages, and
multi-agent and IoT systems with a current focus on the formal semantics
and systematic evaluation of DSMLs and MDE for IoT.