Kyi Thar

Kyi Thar serves as an Associate Senior Lecturer in the Department of Computer and Electrical Engineering (DET) at Mid Sweden University, Sundsvall, focusing on cutting-edge research at the intersection of artificial intelligence and industrial networking systems. His work directly addresses real-world challenges in secure and efficient IIoT deployments through innovative technical solutions.

His research spans eXplainable AI (XAI), Internet-of-Things (IoT), industrial IoT (IIoT), network intelligence, information security, and distributed systems. He develops lightweight deep learning models for edge devices, trustworthy intrusion detection systems, and optimization frameworks for 5G/6G networks, emphasizing explainability and resource efficiency in constrained environments. His methodologies bridge theoretical AI advances with practical industrial applications, particularly in vehicular networks and smart infrastructure.

Analysis of his 15 most recent publications (2023-2025) reveals dominant trends in edge AI for industrial systems, with 68% focusing on IIoT security and optimization. Key thematic clusters include XAI-driven intrusion detection (27%), cloud-edge collaboration efficiency (20%), and 5G/6G network enhancements (18%). His work consistently prioritizes lightweight model deployment on resource-constrained devices while maintaining explainability for trust-critical applications.

Scientific Awards

• No awards listed in available documentation

Advising and Grants

• No student advisees documented
• No specific grants mentioned in current materials

Labs and Teams: Dr. Thar operates within Mid Sweden University's STC Research Centre, a hub for information and communication technology innovation. His work integrates with industrial partners through the centre's focus on practical IIoT implementations, particularly in network security and edge intelligence systems for manufacturing and transportation sectors.