Anas Fattouh currently holds the position of associate professor of industrial systems and researcher at Mälardalen University (MDU). He has amassed over 20 years of experience in academia and research. His educational background includes a Diploma of Engineering in Automatic Control and Industrial Electronics (DEEEng), awarded by Aleppo University in 1992. Subsequently, he completed a master's degree (DEA) and a PhD degree in Automatic Control from the Automatic Laboratory of Grenoble, INPG, France in 1997 and 2000, respectively. Throughout his career, he has been deeply involved in the field of control systems and related topics, with a recent focus on industrial AI systems and smart automation. Currently, he is the MDU leader of the project Trusted Site Optimisation Solutions (TRUST-SOS) with BTH and Volvo CE where we develop an actor-based platform for modelling and simulating open-pit quarry sites.
Master Theses
Smart Battery Circularity: Towards Achieving Climate-Neutral Electrification (Sep 2024) Koteshwar Chirumalla, Erik Dahlquist, Moris Behnam, Kristian Sandström, Martin Kurdve, Anas Fattouh Advances in Production Management Systems. Production Management Systems for Volatile, Uncertain, Complex, and Ambiguous Environments (AMPS2024)
A Multilevel Modelling Framework for Quarry Site Operations (Apr 2024) Abdulkarim Habbab, Anas Fattouh, Bobbie Frank , Elianne Lindmark , Koteshwar Chirumalla, Markus Bohlin 12th ACM/IEEE International Workshop on Software Engineering for Systems-of-Systems and Software Ecosystems (SESoS 2024)
Digital micro-services on an AI-based construction site simulation platform: Exploring service types and key challenges (Nov 2023) Ignat Kulkov, Koteshwar Chirumalla, Anas Fattouh 10th International Conference on Business Servitization (ICBS 2023)
Adopting a Digital Twin Framework for Autonomous Machine Operation at Construction Sites (Oct 2023) Philip Wickberg, Anas Fattouh, Sara Afshar, Markus Bohlin The 7th CAA International Conference on Vehicular Control and Intelligence (CVCI 2023)
Data-driven reinforcement learning-based parametrization of a thermal model in induction traction motors (Oct 2023) Anas Fattouh, Smruti Sahoob 64th International Conference of Scandinavian Simulation Society (SIMS 2023)
Mapping simulation optimization requirements for construction sites: A study in the heavy-duty vehicles industry (Oct 2023) Abdulkarim Habbab, Anas Fattouh, Bobbie Frank , Koteshwar Chirumalla, Markus Bohlin 64th International Conference of Scandinavian Simulation Society (SIMS 2023)