Anas Fattouh, Associate Professor
- Anas Fattouh is an Associate Professor and researcher at Mälardalen University (MDU), with over 20 years of experience in academia and applied research. He holds a Diploma in Automatic Control and Industrial Electronics from Aleppo University (1992), a Master’s degree (DEA, 1997), and a PhD in Automatic Control from Grenoble INPG, France (2000). He is a Docent in Industrial Systems at Mälardalen University (2024).
- His research focuses on model-based and data-driven approaches to analyze, simulate, and optimize complex industrial systems with applications in production systems, smart factories, quarry operations, and battery management.
- He currently leads the TESTED-SOS project at MDU, a follow-up to the TRUST-SOS project, in collaboration with BTH and Volvo Construction Equipment, where they develop and validate a digital simulation and optimization platform for off-road industrial applications.
- In teaching, Anas emphasizes experiential learning and digital integration, leading courses such as Smart Factories, Big Data and Cloud Computing for Industrial Applications, and Introduction to Applied AI for Manufacturing Industry, where students apply digital technologies and industrial systems concepts to real-world scenarios through physical labs, virtual production environments, and simulations.
Courses
- Battery Performance Modelling: a self-study course within the Reedeam project (2025)
- Big Data and Cloud Computing for Industrial Applications (2020, 2021, 2022, 2023, 2024, 2025)
- Introduction to Applied AI for Manufacturing Industry (2024, 2025)
- Mechanical Vibrations (2022, 2023, 2024, 2025)
- Smart Factories (2020, 2021, 2022, 2023, 2024, 2025)
- Industry 4.0 - Realisation (2020, 2021, 2022, 2023) [Lec, Lab]
Master Theses
- Simulation as an Enabler for Production System Development within the Indoor Vertical Farming Industry, Anwar Abbas and Ömer Faruk Acar, 2023. [Report]
- The use of hyperspectral sensors for quality assessment: A quantitative study of moisture content in indoor vertical farming, Arezo Ahaddi and Zeineb Al-Husseini, 2023. [Report]
- Improving the Accuracy of an Industrial Robotic Arm using Iterative Learning Control with Data Fusion of Motor Angles and IMU Sensors, P. Andersson and S. Brickman, ABB Robotics, 2020. [Report]
- Optimizing Multi-Robot Localization with Extended Kalman Filter Feedback and Collaborative Laser Scan Matching, Fredrik Ginsberg, ABB Corporate Research, 2020. [Report]
- Monitored Neural Networks for Autonomous Articulated Machines, Erik Beckman and Linus Harenius, Volvo CE, 2020. [Report]
- Autonomous Path Planning Assist Function for a Wheel Loader, Robert Glaes and Munir Mohamed, Volvo CE, 2020. [Report]
- Tool Orchestration for Modeling, Verification, and Analysis of Collaborating Autonomous Machines, Pavle Mrvaljevic, Volvo CE, 2020. [Report]
- Development of a Robust Cascade Controller for a Riderless Bicycle, Tom Andersson and Niklas Persson, 2019. [Report]
- Automatic Control and Time-Delay Systems: Robust control, observer design, and digital control of systems with time delays, including applications in teleoperation and dynamic systems.
- Industrial Systems and Smart Operations: Modeling, analysis, and optimization of complex industrial systems, with applications in quarry operations, production systems, smart factories, and off-road machinery.
- Simulation and Optimization: Simulation-based decision support, real-time and stochastic optimization, and development of integrated simulation platforms for industrial applications.
- Digital Twins and Data-Driven Systems: Development of digital twin frameworks combining physical models, operational data, and AI methods for performance prediction, monitoring, and intelligent control.
- Battery Modelling and Energy Systems: Battery performance modelling, degradation analysis, and optimization of battery operation for electrified industrial and transportation systems.
Building Climate Competence through Industry-Integrated Co Produced Digital Courses (Dec 2026) Avinash Renuke , Anas Fattouh, Barbara Gallina, Farnaz Ashoftehfard , Joakim Örnekskans , Konstantinos Kyprianidis, Koteshwar Chirumalla , Magnus Hoppe, Mehrdad Mesgarpour , Stavros Vouros , Stefan Eck, Susanne Rönnemark Nording 67 International Conference of Scandinavian Simulation Society (SIMS-2026)
A Simulation Platform for Battery-Aware Operation and Energy Optimization of Electric Off-Road Vehicles (Dec 2025) Anas Fattouh, Erik Dahlquist, Koteshwar Chirumalla, Abdulkarim Habbab Resilient-Applied Energy Symposium and Forum: Resilient energy systems (Resilient2025)
A Battery Circularity Decision Support Framework for Sustainable Transport Applications (Aug 2025) Anas Fattouh, Erik Dahlquist, Koteshwar Chirumalla International Conference on Advances in Production Management Systems (APMS2025)
Enabling Battery Circularity with Blockchain Technology: An Exploratory Study of Key Benefits (Aug 2025) Moshkan Ebrahimi, Koteshwar Chirumalla, Anas Fattouh International Conference on Advances in Production Management Systems (APMS2025)
Toward Smarter EV Battery Operations: Leveraging AI, Data Management, and Optimization in First-Life Use (Aug 2025) Koteshwar Chirumalla, Anas Fattouh, Kristian Sandström, Moris Behnam, Ioana Stefan, Ignat Kulkov, Martin Kurdve, Niclas Ståhlbom, Jing Zhao, Moshkan Ebrahimi, Erik Dahlquist, Satyam Paul International Conference on Advances in Production Management Systems (APMS2025)
TRUST-SOS - Trusted Site Optimisation Solutions (Jan 2025) Anas Fattouh, Koteshwar Chirumalla, Ignat Kulkov