Håkan Grahn
Professor
Department of Computer Science
Room J3121, Karlskrona
Research domain: Computer Science
Håkan Grahn is professor of computer engineering since 2007. He received a M.Sc. degree in Computer Science and Engineering in 1990 and a Ph.D. degree in Computer Engineering in 1995, both from Lund University. His main interests are computer architecture, multicore systems, GPU computing, parallel programming, image processing, and machine learning/data mining. He has published more than 100 papers on these subjects. During 1999-2002 he was head of department for the Dept. of software engineering and computer science, and during 2011-2013, he was Dean of research at Blekinge Institute of Technology. He was project leader for BigData@BTH – “Scalable resource-efficient systems for big data analytics”, a research profile funded by the Knowledge foundation during 2014-2020. For more information: https://grahn.cse.bth.se
Latest publications
- Nemi Pelgrom, Johan Hangelbäck, Morgan Ericsson, Jonas Nordqvist, Håkan Grahn, "Hallucinations and Training-Data Bias", Computational Science and Computational Intelligence, ISSN 1865-0929, EISSN 1865-0937, pp. 59-69, Springer Science+Business Media B.V., 2025
- Nemi Pelgrom, Håkan Grahn, "Different Hallucinations calls for Different Solutions - A Categorisation of LLM Transcription Mistakes", CEUR Workshop Proceedings, EISSN 1613-0073, pp. 39-52, Technical University of Aachen, 2025
- Lars Lundberg, Alexander Westerhagen, Dragos Ilie, Håkan Grahn, Bo Granbom, Anna Svärd Olsson, "Evaluating Short Forward Error Correction Codes for Avoiding Detection in Airborne Networks", International Conference on Military Communication and Information Systems, ICMCIS, Institute of Electrical and Electronics Engineers (IEEE), 2025
- Christian Nordahl, Veselka Boeva, Håkan Grahn, Marie Netz Persson, "On Evaluation of Data Stream Clustering Algorithms", IEEE Access, EISSN 2169-3536, Vol. 13, pp. 139524-139546, Institute of Electrical and Electronics Engineers (IEEE), 2025
- Ashir Javeed, Anton Borg, Håkan Grahn, Lars Lundberg, Dhyey Patel, Sogand Shirinbab, "Improving Cloud Efficiency", Proceedings - 2025 8th International Conference on Data Science and Machine Learning Applications, CDMA 2025, pp. 120-125, Institute of Electrical and Electronics Engineers (IEEE), 2025
Completed projects
No information available