Research
| Publications (Google Scholar)
| Teaching
| Contact information
| Short history
Main interests
Computer Architecture,
Multicore Systems, GPGPU and Cloud Computing, Parallel programming,
Image Processing, and AI/Machine Learning
Projects
Current project(s):
Some earlier projects:
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)
- SAIS'23 - The 35th annual workshop of the Swedish Artificial Intelligence Society
- IJCAI-ECAI 2023 - 32nd International Joint Conference on Artificial Intelligence
- PDP 2024 - 32nd Euromicro International Conference on Parallel, Distributed,
and Network-Based Processing
- AAAI-2024 - 38th AAAI Conference on Artificial Intelligence
- IJCAI 2024 - 33rd International Joint Conference on Artificial Intelligence
- SCAI 2024 - 14th Scandinavian Conference on Artificial Intelligence
- ICML 2024 - 41st Int'l Conf. on Machine Learning
- ECML PKDD 2024 - European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2024
- AAAI-2025 - 39th AAAI Conference on Artificial Intelligence
Ph.D. Students
Current Ph.D. students:
- 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 Assoc. Prof. Anton Borg)
Started in January 2022.
Project: GPAI - General Purpose AI Computing (within ELLIIT - Excellence Center at Linköping - Lund in Information Technology)
- 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 Assoc. 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
- Nemi Pelgrom, M.Sc., Linnaeus University
Industrial Ph.D. student, funded by Fortnox AB, Sweden (advisor, co-advised with Assoc. Prof. Morgan Ericsson, Linnaeus University (main advisor), Assist. Prof. Jonas Nordqvist, Linnaeus University (advisor), and Prof. Danny Weyns, Linnaeus University (examiner))
Started in September 2023.
- Zijie Feng, M.Sc., Linnaeus University
Industrial Ph.D. student, funded by Micropower Group AB, Sweden (advisor, co-advised with
Prof. Welf Löwe, Linnaeus University (main advisor), Prof. Per Ranstad, Linnaeus University (advisor), Assoc. Prof.
Roger Pettersson, Linnaeus University (advisor), and Prof. Andreas Kerren, Linnaeus University (examiner))
Started in November 2023.
Graduated Ph.D. students:
- 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.
- Christian Nordahl,
January 2024 (main advisor, co-advised with Prof. Veselka Boeva and Assist. Prof. Marie Netz).
Ph.D. thesis: Data Stream Mining and Analysis: Clustering
Evolving Data
Project: BigData@BTH - Scalable resource-efficient systems for big data
analytics
First employment: Blekinge Institute of Technology, Karlskrona.
Teaching the academic years 2022/2023 and 2023/2024:
- Operating systems, DV1628/DV1629 (fall 2022)
- Multiprocessor programming, DV2597/DV2606 (fall 2022)
- Supervising Master's theses in Computer Science (spring 2022)
- Examiner of Master's theses for MSc in Engineering (fall 2022, spring 2023)
- Operating systems, DV1628/DV1629 (fall 2023)
- Multiprocessor programming, DV2597/DV2606 (fall 2023)
- Examiner of Master's theses for MSc in Engineering (fall 2023, spring 2024)
Teaching previous academic years.
Address: |
Department of Computer Science
Blekinge Institute of Technology
SE-371 79 Karlskrona, Sweden
|
Phone: | +46-(0)455-385804 |
Fax: | +46-(0)455-385057 |
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
Updated: January 29, 2024
Håkan Grahn /
<Hakan.Grahn@bth.se>
Department of Computer Science
Blekinge Institute of Technology
Sweden
|
Mail:
SE-371 79 Karlskrona
|
Visit:
Campus Gräsvik (Valhallavägen 1)
Karlskrona
|
Phone:
Tel: +46-455-385804
Fax: +46-455-385057
|