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Karl Andersson
Karl Andersson

Karl Andersson

Professor, Dean
Luleå University of Technology
Pervasive and Mobile Computing
Computer Science, Distance- Spanning Technology, Digital Services and Systems
Department of Computer Science, Electrical and Space Engineering
karl.andersson@ltu.se
+46 (0)910 585364
A111 Skellefteå

Contact Information

Mail address:
Luleå University of Technology, Attn: Prof. Karl Andersson, SE-931 87 Skellefteå, Sweden

Visiting address:
Forskargatan 1, Campus Skellefteå, A building, Skellefteå, Sweden

Short Biography

After receiving his master degree in Computer Science and Technology from the Royal Institute of Technology, Stockholm, Sweden, Karl Andersson started his professional career as a consultant, project manager, business developer, and branch manager within the Capgemini Group. Returning to academia as a PhD Student he obtained his PhD degree after defending his thesis "On Access Network Selection Models and Mobility Support in Heterogeneous Wireless Networks". After visiting Columbia University in the City of New York as a postdoctoral researcher and National Institute of Information and Communications Technology, Tokyo, Japan as a JSPS Fellow, Karl is now Professor in Pervasive and Mobile Computing at Luleå University of Technology (LTU), Skellefteå, Sweden. Since 2017, Karl is leading Centre for Distance-spanning Technology at LTU specialising in research centred around fifth generation mobile networks (5G), Internet of Things (IoT), and datacenters. Karl is currently coordinating a number of projects funded by the EU, VINNOVA, and the Swedish Energy Agency. Moreover, since 1 January 2022, Karl is Dean for Faculty of Science and Technology at Luleå University of Technology.

Karl is a senior member of the IEEE and a senior member of ACM. He has served as reviewer for a number of journals including IEEE Transactions on Mobile Computing, IEEE Transactions on Computers, IEEE Vehicular Technology Magazine, Computer Networks, Wireless Personal Communications, Wireless Networks, Wireless Communications and Mobile Computing, Journal of Wireless Mobile Networks, Ubiquitous Computing, and Dependable Applications, International Journal of Ad Hoc and Ubiquitous Computing, and ETRI Journal. Furthermore, he has served as reviewer for many conferences including ICC, Globecom, VTC, WCNC, WiMob, IWCMC, and NTMS. Also, he is serving on a number of TPCs and the editorial boards of Journal of Internet Services and Information Security and Journal of Wireless Mobile Networks, Ubiquitous Computing, and Dependable Applications. During 2020 and 2021, Karl was general chair for IEEE Conference on Local Computer Networks (LCN).

Publications

Conference paper

A Hybrid Deep Learning System to Detect Face-Mask and Monitor Social Distance (2023)

Nahar. L, Basnin. N, Hoque. S, Tasnim. F, Hossain. M, Andersson. K
Part of: Applied Intelligence and Informatics, Second International Conference, AII 2022, Reggio Calabria, Italy, September 1–3, 2022, Proceedings, s. 308-319, Springer Nature, 2023
Chapter in book

A Hybrid Hotel Recommendation Using Collaborative, Content Based and Knowledge Based Approach (2023)

Tarek. I, Munna. F, Mojumder. A, Rahman. M, Hossain. M, Andersson. K
Part of: Intelligent Computing & Optimization
Conference paper

A Novel Fuzzy Semi-supervised Learning Approach for the Classification of Colorectal Cancer (FSSL-CRCC) (2023)

Karim. S, Patwary. M, Hossain. M, Andersson. K
Part of: Applied Intelligence and Informatics, Second International Conference, AII 2022, Reggio Calabria, Italy, September 1–3, 2022, Proceedings, s. 174-185, Springer Nature, 2023
Chapter in book

A Transfer Learning Approach to Detect Face Mask in COVID-19 Pandemic (2023)

Nath. T, Hossain. M, Andersson. K
Part of: Intelligent Computing & Optimization
Chapter in book

An Encoding and Decoding Technique to Compress Huffman Tree Size in an Efficient Manner (2023)

Sultana. Z, Nahar. L, Tasnim. F, Hossain. M, Andersson. K
Part of: Intelligent Computing & Optimization
Chapter in book

An IoT Prototype for Monitoring Covid19 Patients Using Real Time Data from Wearable Sensor Through Android App (2023)

Sultana. Z, Nahar. L, Sultana. S, Tasnim. F, Hossain. M, Andersson. K
Part of: Intelligent Computing & Optimization
Chapter in book

Bell Pepper Leaf Disease Classification Using Convolutional Neural Network (2023)

Mahamud. F, Neloy. M, Barua. P, Das. M, Nahar. N, Hossain. M, et al.
Part of: Intelligent Computing & Optimization
Chapter in book

Brain-DeepNet: A Deep Learning Based Classifier for Brain Tumor Detection and Classification (2023)

Habiba. S, Islam. M, Nahar. L, Tasnim. F, Hossain. M, Andersson. K
Part of: Intelligent Computing & Optimization
Chapter in book

Comparative Performance of Tree Based Machine Learning Classifiers in Product Backorder Prediction (2023)

Ahmed. F, Hasan. M, Hossain. M, Andersson. K
Part of: Intelligent Computing & Optimization
Article in journal

Comprehensive Analysis of Nature-Inspired Algorithms for Parkinson’s Disease Diagnosis (2023)

Shafiq. S, Ahmed. S, Kaiser. M, Mahmud. M, Hossain. M, Andersson. K
IEEE Access, Vol. 11, s. 1629-1653