Markus Bohlin, Docent, Professor

Markus is an experienced (20+ years) leader (14+ years) in in academia and industrial research with a background in leading and managing R&D groups, teams, portfolios, projects, bids, strategies, proposals and project sales, and experience from budgeting, recruiting, staffing and team development. His academic background is from applied AI in production systems, transportation, logistics, power generation and cyber-physical systems development. He defended his doctoral thesis in 2009 and was appointed as associate professor (docent) in 2013, both at Mälardalen University. Between 2012 and 2016 he served as president of the Swedish Operations Research Association. In 2014 he was appointed as adjunct professor in analysis of rail traffic systems at KTH Royal Institute of Technology, and served on the Trafikverket Board on Capacity in Railways. In 2019 he was appointed full professor in Computer Science with a focus on Applied Artificial Intelligence at Mälardalen University. He has acted as program chair and main organizer for several national and international conferences and workshops, including the 8th International Conference on Railway Operations Modelling and Analysis (ICROMA), the bi-annual Swedish Operations Research Conference (twice) and the annual Industrial Efficiency conference (four times). He serve as reviewer and PC member for several scientific journals and conferences. His work has been presented in more than 75 peer-reviewed papers in international journals, conferences and workshops. He serve on several national and international research boards and councils, and have participated as expert advisor in recruitments of senior faculty both nationally and internationally. He has leadership experience from organisations with up to 60 employees and more than 40 projects, including several H2020 and cluster projects, involving up to 20 people. He has supervised four PhD students until their PhD defence, 9 until their licentiate defense, and currently supervises five Ph.D. students. He currently serves as division manager for Product Realization at Mälardalen University, and as School Director for the INDTECH Industrial Graduate School.

Research interests:

  • Planning and scheduling
  • Machine learning
  • Optimization

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Latest publications:

Optimizing Simulation and Predicting Engine Behavior of a Wheel Loader Through LSTM Neural Network Modeling: A Simulation-Based Approach (Sep 2024)
Abdulkarim Habbab, Anas Fattouh, Bobbie Frank , Koteshwar Chirumalla, Markus Bohlin
The Second SIMS EUROSIM Conference on Modelling and Simulation (SIMS 2024)

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)

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)

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)

Machine Learning Testing in an ADAS Case Study Using Simulation-Integrated Bio-Inspired Search-Based Testing (Jun 2023)
Mahshid Helali Moghadam, Markus Borg , Mehrdad Saadatmand , Seyed Jalaleddin Mousavirad , Markus Bohlin, Björn Lisper
Journal of Software: Evolution and Process (JSEP)

Requirement or Not, That is the Question: A Case from the Railway Industry (Apr 2023)
Sarmad Bashir, Muhammad Abbas, Mehrdad Saadatmand , Eduard Paul Enoiu, Markus Bohlin, Pernilla Lindberg
Requirements Engineering: Foundation for Software Quality (REFSQ 2023)

MSc theses supervised (or examined):
Thesis TitleStatus
Simulation-based optimization of dual non-crossing stacking cranes on-hold