About
Monowar Bhuyan is an Associate Professor in the Department of Computing Science at Umeå University, Sweden, leading the Cyber Analytics and Learning Group within ADSLab. He holds a Ph.D. in Computer Science from Tezpur University and has held academic positions at Assam Kaziranga University and Umeå University. His research focuses on machine learning, anomaly detection, edge AI, and distributed systems security. He has secured over 35 MSEK in grants from WASP, STINT, and EU Horizon programs.
Education
- Ph.D. in Computer Science and Engineering, Tezpur University (2014)
- M.Tech. in Information Technology, Tezpur University (2009)
- B.E. in Computer Science and Engineering, IETE (2007)
Research Interests
- Distributed/Federated/Responsible Machine Learning
- Cybersecurity and Anomaly Detection in Edge Clouds
- AI for DDoS Defense and Cyber Resilience
- Edge AI and Serverless Computing
Recent ContributionsHis recent work addresses secure federated learning, DDoS attack detection in cloud-edge systems, and responsible AI. Key publications include novel frameworks for VSI-DDoS detection and federated learning optimizations.
Awards & Grants
- Best Paper Awards at ICONIP 2023 and ACM ICACCI 2012
- WASP NEST Grant (AIR2 Project, 5 MSEK)
- EU Horizon Europe Grant (SovereignEdge.Cognit, 8.27 MSEK)
Lab & CollaborationsHe leads the Cyber Analytics and Learning Group (ADSlab), collaborating with institutions like KTH, Linköping University, and Nara Institute of Science and Technology (NAIST). The lab focuses on AI-driven security solutions for distributed systems.
