Kyi Thar
Universitetslektor, Biträdande|Associate Senior Lecturer
- Professional title: Associate Senior Lecturer
- Academic title: Associate Senior Lecturer
- Telephone: +46 (0)10-1726517
- Email: kyi.thar@miun.se
- Visitor address: SE-851 70 Sundsvall, Holmgatan 10
- Room number: L438
- Location: Sundsvall
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- Employed at the subject:
- Computer Engineering
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- Research centers:
- STC Research Centre
Area of interest
eXplainable AI (XAI), Internet-of-things (IoT), industrial IoT (IIoT), network intelligence, information security, and distributed systems.
Publications
Articles in journals
Conference papers
Articles in journals
Lundberg, H. , Mowla, N. I. , Fakhrul Abedin, S. , Thar, K. , Mahmood, A. , Gidlund, M. & Raza, S. (2022). Experimental Analysis of Trustworthy In-Vehicle Intrusion Detection System using eXplainable Artificial Intelligence (XAI). IEEE Access, vol. 10, pp. 102831-102841.
Conference papers
Ma, H. , Lu, B. , Zheng, T. , Thar, K. & Gidlund, M. (2025). A Gated-Guided Serial CNN-Transformer Network for High-Speed Railway Traffic Prediction. In 2025 IEEE 21st International Conference on Factory Communication Systems (WFCS). (IEEE International Workshop on Factory Communication Systems). pp. 305--312.
Ericson, A. , Thar, K. & Forsström, S. (2025). Enhancing Intrusion Detection in CPS and IIoT with Lightweight Explainable AI Models. In 2025 IEEE 21st International Conference on Factory Communication Systems (WFCS). (IEEE International Workshop on Factory Communication Systems). pp. 297--304.
Ericson, A. , Gaber, A. , Heil, S. , Forsström, S. , Thar, K. & Gaedke, M. (2025). Evaluating Trust-Related Principles in an Implemented Distributed Edge AI System. In 20th Swedish National Computer Networking and Cloud Computing Workshop (SNCNW 2025).
Formis, G. , Ericson, A. , Forsström, S. , Thar, K. , Cena, G. & Scanzio, S. (2025). On the Prediction of Wi-Fi Performance through Deep Learning. In 2025 IEEE 21st International Conference on Factory Communication Systems (WFCS). (IEEE International Workshop on Factory Communication Systems). pp. 79--82.
Talebian, H. , Mahmood, A. , Nikonowicz, J. , Thar, K. & Gidlund, M. (2024). An Ensemble ML Model Design to Classify LOS/NLOS in 5G-NR InF Propagation Environment. In Proceedings GLOBECOM 2024.
Zhang, J. , Zheng, T. , Lu, B. , Yin, H. , Thar, K. , Gidlund, M. & Guizani, M. (2024). Enhancing Training Efficiency for Cloud-Edge Collaboration in the Industrial Internet of Things : A Transmission-Centric Approach. In 2024 IEEE 22nd International Conference on Industrial Informatics (INDIN).
Ericson, A. , Forsström, S. & Thar, K. (2024). IIoT Intrusion Detection using Lightweight Deep Learning Models on Edge Devices. In 2024 IEEE 20th International Conference on Factory Communication Systems (WFCS).
Liu, B. , Zheng, T. , Thar, K. , Gidlund, M. , Ma, X. , Lei, B. , Zhang, H. & Guizani, M. (2024). Intelligent Traffic-Service Mapping of Network for Advanced Industrial IoT Edge Computing. In IEEE International Workshop on Factory Communication Systems - Proceedings, WFCS.
Chmieliauskas, D. , Mahmood, A. , Paulikas, S. , Thar, K. & Gidlund, M. (2023). Q-Learning Inspired Method for Antenna Azimuth Selection in Cellular Networks. In 2023 Workshop on Microwave Theory and Technology in Wireless Communications (MTTW).
Khodakhah, F. , Mahmood, A. , Abedin, S. F. , Thar, K. , Österberg, P. & Gidlund, M. (2022). Design and Resource Allocation of NOMA-based Transmission Scheme for Industrial Collaborative AR. In 2022 IEEE GLOBECOM Workshops, GC Wkshps 2022 - Proceedings.. pp. 1604--1609.