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Karl Andersson
Karl Andersson

Karl Andersson

Professor, Dekan
Luleå tekniska universitet
Distribuerade datorsystem
Datavetenskap, CDT, Digitala tjänster och system
Institutionen för system- och rymdteknik
karl.andersson@ltu.se
0910-585364
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.

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).

Publikationer

Konferensbidrag

A Belief Rule Based Expert System to Diagnose Alzheimer’s Disease Using Whole Blood Gene Expression Data (2022)

Raihan. S, Ahmed. M, Sharma. A, Hossain. M, Islam. R, Andersson. K
Ingår i: Brain Informatics: 15th International Conference, BI 2022, Padua, Italy, July 15–17, 2022, Proceedings, s. 301-315, Springer, 2022
Konferensbidrag

A BRBES to Support Diagnosis of COVID-19 Using Clinical and CT Scan Data (2022)

Shafkat Raihan. S, Islam. R, Hossain. M, Andersson. K
Ingår i: Proceedings of the International Conference on Big Data, IoT, and Machine Learning, s. 483-496, Springer, 2022
Konferensbidrag

A Deep Learning Approach with Data Augmentation to Recognize Facial Expressions in Real Time (2022)

Ahmed. T, Hossain. S, Hossain. M, Islam. R, Andersson. K
Ingår i: Proceedings of the Third International Conference on Trends in Computational and Cognitive Engineering, TCCE 2021, s. 487-500, Springer Nature, 2022
Konferensbidrag

A Deep Learning-Based Ophthalmologic Approach for Retinal Fundus Image Analysis to Detect Glaucoma (2022)

Nahar. L, Hossain. M, Das. P, Alam. T, Andersson. K
Ingår i: Proceedings of the Third International Conference on Trends in Computational and Cognitive Engineering, TCCE 2021, s. 519-532, Springer Nature, 2022
Konferensbidrag

A Hybrid CNN-LSTM-Based Emotional Status Determination using Physiological Signals (2022)

Nahar. N, Ara. F, Junjun. J, Hossain. M, Andersson. K
Ingår i: Proceedings of the Third International Conference on Trends in Computational and Cognitive Engineering, TCCE 2021, s. 149-161, Springer Nature, 2022
Konferensbidrag

A Weighted Average Ensemble Technique to Predict Heart Disease (2022)

Neloy. M, Nahar. N, Hossain. M, Andersson. K
Ingår i: Proceedings of the Third International Conference on Trends in Computational and Cognitive Engineering, TCCE 2021, s. 17-29, Springer Nature, 2022
Konferensbidrag

An Approach to Detect Chronic Kidney Disease (CKD) by Removing Noisy and Inconsistent Values of UCI Dataset (2022)

Maisha. S, Biswangri. E, Hossain. M, Andersson. K
Ingår i: Proceedings of the Third International Conference on Trends in Computational and Cognitive Engineering, TCCE 2021, s. 457-472, Springer Nature, 2022
Artikel i tidskrift

An Integrated Approach of Belief Rule Base and Convolutional Neural Network to Monitor Air Quality in Shanghai (2022)

Kabir. S, Islam. R, Shahadat Hossain. M, Andersson. K
Expert systems with applications, Vol. 206
Artikel i tidskrift

An Integrated Deep Learning and Belief Rule Base Intelligent System to Predict Survival of COVID-19 Patient under Uncertainty (2022)

Ahmed. T, Jamil. M, Hossain. M, Islam. R, Andersson. K
Cognitive Computation, Vol. 14, nr. 2, s. 660-676
Konferensbidrag

Automated Acute Lymphocytic Leukemia (ALL) Detection Using Microscopic Images: An Efficient CAD Approach (2022)

Sumi. T, Hossain. M, Andersson. K
Ingår i: Proceedings of Trends in Electronics and Health Informatics, TEHI 2021, s. 363-376, Springer, 2022