Markus Bohlin, Docent, Professor

Markus Bohlin is the leader of the Industrial Efficiency (IND-E) focus area at SICS. He received his PhD at Mälardalen University in 2009; the topic of his thesis was practical combinatorial optimization problems in industry. In 2013 he was appointed as Associate Professor (Docent) in Computer Science at Mälardalen University, where he is also supervising three PhD students. He currently serves as the president of the Swedish Operations Research Association.

His research interests are in the real-world application of optimization methods and operations research to industrial processes, in particular to railways, embedded software verification and validation, and industrial maintenance. His work has been published in more than 25 conference proceedings and journals. Two core algorithms he designed have been successfully deployed in industry.

Markus currently serve as reviewer for six scientific journals, and is on the program committee for two conferences. He has been on the organization committee for the annual Industrial Efficiency conference since 2009. In 2013, he served as the main organizer and program chair for the joint Swedish Operations Research Conference and the 6th Nordic Optimization Symposium (SOAK/NOS6 2013) in Gothenburg, Sweden.

 Research interests:

  • Planning and scheduling
  • Machine learning
  • Optimization

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Latest publications:

Poster: Performance Testing Driven by Reinforcement Learning (Oct 2020)
Mahshid Helali Moghadam, Mehrdad Saadatmand , Markus Borg , Markus Bohlin, Björn Lisper
IEEE 13th International Conference on Software Testing, Validation and Verification (ICST2020)

Extending UIC 406-based capacity analysis – New approaches for railway nodes and network effects (Apr 2020)
Norman Weik , Jennifer Warg , Ingrid Johansson , Markus Bohlin, Nils Niessen
Journal of Rail Transport Planning & Management (JRTPM)

A combined simulation-optimization approach for minimizing travel time and delays in railway timetables (Jun 2019)
Johan Högdahl , Markus Bohlin, Oskar Fröidh
Transportation Research Part B (TRpB)

Machine Learning to Guide Performance Testing: An Autonomous Test Framework (Apr 2019)
Mahshid Helali Moghadam, Mehrdad Saadatmand , Markus Borg , Markus Bohlin, Björn Lisper
IEEE International Conference on Software Testing, Verification and Validation Workshops (ICSTW)

Automated Functional Dependency Detection Between Test Cases Using Doc2Vec and Clustering (Apr 2019)
Sahar Tahvili, Leo Hatvani, Michael Felderer , Wasif Afzal, Markus Bohlin
The First IEEE International Conference On Artificial Intelligence Testing (AI Testing)

Speed profile optimization of catenary-free electric trains with lithium-ion batteries (Jan 2019)
Nima Ghaviha , Markus Bohlin, Christer Holmberg , Erik Dahlquist
Journal of Modern Transportation (JMT)

PhD students supervised as main supervisor:

Kivanc Doganay
Mahshid Helali Moghadam
Sara Gestrelius (former)

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