Håkan Grahn, Ph.D. (Hakan.Grahn@bth.se) Professor of Computer Engineering Department of Computer Science Blekinge Institute of Technology Sweden

Research | Publications | Teaching | Contact information | Short history

Research

Computer Architecture, Multicore Systems, GPGPU and Cloud Computing, Parallel programming, Image Processing, and AI/Machine Learning

Projects

Current project(s):

• Directed Air Data Link (2020-2023). Role: Researcher/project member. Funded by Vinnova, partner Saab Surveillence.
• GPAI - General Purpose AI Computing (2021-2025), together with Lund University and Linköping University. Role: PI/Project leader. Funded by ELLIIT - Excellence Center at Linköping - Lund in Information Technology.
• HINTS: Human-Centered Intelligent Realities (2022-2028). Role: Researcher/project member. Funded by Knowledge Foundation, partners Blackdrop Interactive, Ericsson, IKEA Marketing & Communication, Noda IS, Spotify, and Virotea.

• Software research platform. Role: Researcher/project member.
• BESQ Project - Blekinge Engineering Software Qualities (2002-2008). Role: Researcher/project member.
• BESQ Research Center. Role: Researcher/project member.
• BESQ+ (2011-2013). Role: Researcher/project member.
• EOT - Effektiv omplanering av tåglägen vid driftstörningar (2010-2013). Role: Deputy project leader, researcher.
• KAJT - Kapacitet i järnvägstrafiken. Role: Researcher/project member.
• ARIES - Applied Research in Industrial and Embedded Software (2010-2011). Role: Scientific leader for the work package "Composable Parallelism".
• EASE - Embedded Applications Software Engineering (2008-2018). Role: Research theme leader for "Theme B: Flexible Execution of Software in Parallel Embedded Systems".
• BigData@BTH - Scalable resource-efficient systems for big data analytics (2014-2020). Role: PI/Project leader. Funded by Knowledge Foundation, partners Arkiv Digital AD, Compuverde / Pure Storage, Ericsson AB, Noda IS, Sony Mobile Communications AB, and Telenor Sverige.

Research groups I've been part of:

• DISL -- Distributed and Intelligent Systems Lab,
  
• CCS-Lab -- Communication and Computer Systems Research Lab,
  
• PAARTS -- Parallel Architectures and Applications for Real-Time Systems, and
  
• CacheMire -- Cache memory interconnect research group (1990-1995)
  

Current and recent activities / PC memberships / Reviewing committees / etc.:

• 12th Nordic workshop on Multi-Core Computing, MCC-2019 (MCC-08, MCC-09, MCC-10, MCC-11, MCC-12, MCC-13, MCC-14, MCC-15, MCC-16, MCC-17, MCC-18)
  
• VISAPP 2022 - 17th International Conf. on Computer Vision Theory and Applications
• AAAI-2022 - 36th AAAI Conference on Artificial Intelligence
• PDP 2022 - 30th Euromicro International Conference on Parallel, Distributed, and Network-Based Processing
• IJCAI-ECAI 2022 - 31st International Joint Conference on Artificial Intelligence
• ICML 2022 - 39th International Conference on Machine Learning
• NeurIPS 2022 - 36th Annual Conference on Neural Information Processing Systems
• AAAI-2023 - 37th AAAI Conference on Artificial Intelligence
• SAIS'23 - The 35th annual workshop of the Swedish Artificial Intelligence Society

Ph.D. Students

• Christian Nordahl, M.Sc.,
  Ph.D. student (co-advised with Dr. Marie Persson and Prof. Veselka Boeva)
  Started in December 2016.
  Licentiate thesis: "Data-Driven Techniques for Modeling and Analysis of User Behavior," Dec. 2019.
  Project: BigData@BTH - Scalable resource-efficient systems for big data analytics
• Michail Boulasikis, M.Sc., Lund University,
  Ph.D. student (advisor, co-advised with Assoc. Prof. Flavius Gruian (main advisor), Lund University, Assoc. Prof. Jörn Janneck (advisor), Lund University, and Prof. Christoph Kessler (advisor), Linköping University)
  Started in September 2021.
  Project: GPAI - General Purpose AI Computing (within ELLIIT - Excellence Center at Linköping - Lund in Information Technology)
• Christoffer Åleskog, M.Sc.,
  Ph.D. student (main advisor, co-advised with Dr. Anton Borg)
  Started in January 2022.
  Project: GPAI - General Purpose AI Computing (within ELLIIT - Excellence Center at Linköping - Lund in Information Technology)
• Jonne van Dreven, M.Sc.,
  Industrial Ph.D. student, funded by VITO, Belgium (advisor, co-advised with Prof. Veselka Boeva (main advisor and examiner), Dr. Shahrooz Abghari, and Dr. Emilia Motoasca, VITO, Belgium)
  Started in May 2022.
  Project: AI/ML approaches for fault detection and diagnosis (FDD) in building substations
• Jim Ahlstrand, M.Sc.,
  Industrial Ph.D. student, funded by Telenor Sverige AB, Sweden (advisor and examiner, co-advised with Assoc. Prof. Martin Boldt (main advisor), and Assist. Prof. Anton Borg)
  Started in October 2022.
• Tharuka Chathurani Kasthuri Arachchige, M.Sc.,
  Co-advised (advisor) with Prof. Veselka Boeva (main advisor and examiner), Dr. Shahrooz Abghari (advisor), and Assoc. Prof. Emiliano Casalicchio (advisor).
  Started in June 2023.
  Project: HINTS: Human-Centered Intelligent Realities

• Magnus Broberg, May 2002 (co-advised with Prof. Lars Lundberg).
  Ph.D. Thesis: Performance Prediction and Improvement Techniques for Parallel Programs in Multiprocessors.
  Tool: VPPB (Visualization of Parallel Program Behaviour)
  First employment: Assistant professor at Blekinge Institute of Technology.
• Frans Mårtensson, February 2006 (co-advised with Dr. Michael Mattsson).
  Licentiate thesis: Software Architecture Quality Evaluation - Approaches in an Industrial Context.
  Project: BESQ - Blekinge Engineering Software Qualities
  First employment: Ericsson AB, Karlskrona.
• Piotr Tomaszewski, September 2006 (co-advised with Prof. Lars Lundberg).
  Ph.D. Thesis: Software Development Productivity - Evaluation and Improvement for Large Industrial Projects.
  Project: BESQ - Blekinge Engineering Software Qualities
  First employment: Ericsson AB, Karlskrona.
• Simon Kågström, May 2008 (co-advised with Prof. Lars Lundberg).
  Ph.D. Thesis: Tools, Techniques, and Trade-offs when Porting Large Software Systems to New Environments. (thesis page)
  Software: The application kernel (an SMP porting approach), LOPI (binary instrumentation), and Cibyl (a binary translator (MIPS to Java bytecode))
  Project: BESQ - Blekinge Engineering Software Qualities
  First employment: Ericsson AB, Stockhom.
• Hussein Aziz, June 2013 (co-advised with Prof. Lars Lundberg and Prof. Markus Fiedler).
  Ph.D. Thesis: Streaming Video over Unreliable and Bandwidth Limited Networks (thesis page)
  Projects: Qoemovi and QoEMoS
  
• Jan Kasper Martinsen, May 2014 (main advisor, co-advised with Prof. Lars Lundberg).
  Ph.D. thesis: Design and Implementation of Thread-Level Speculation in JavaScript Engines (thesis page)
  Project: EASE - Embedded Applications Software Engineering (Theme B)
  First employment: Independent consultant, Oslo, Norway.
• Eva Garcia Martin, January 2020 (co-advised with Prof. Niklas Lavesson, Prof. Veselka Boeva, and Assoc. Prof. Emiliano Casalicchio).
  Ph.D. thesis: Energy Efficiency in Machine Learning: Approaches to Sustainable Data Stream Mining (pdf)
  Project: BigData@BTH - Scalable resource-efficient systems for big data analytics
  First employment: Ekkono Solutions AB, Göteborg.
• Florian Westphal, September 2020 (main advisor, co-advised with Prof. Niklas Lavesson).
  Ph.D. thesis: Data and Time Efficient Historical Document Analysis (pdf)
  Project: BigData@BTH - Scalable resource-efficient systems for big data analytics
  First employment: Blekinge Institute of Technology, Karlskrona.
• Shahrooz Abghari, December 2020 (co-advised with Prof. Niklas Lavesson and Prof. Veselka Boeva)
  Ph.D. thesis: "Data Mining Approaches for Outlier Detection Analysis"
  Project: BigData@BTH - Scalable resource-efficient systems for big data analytics
  First employment: Blekinge Institute of Technology, Karlskrona.

Teaching

How to reach me

Internet links

Research financing: The Knowledge Foundation | Vinnova | The Foundation for Strategic Research | The Swedish Research Council | Horizon 2020
WWW/HTML: The World Wide Web consortium | w3schools
Misc: IEEE Computer Society | ACM