معرفی
Saguna Saguna is an Assistant Professor in the Department of Computer Science, Electrical and Space Engineering at Luleå University of Technology (LTU), specializing in distributed computing systems research. She serves as Program Manager for Information Security in the Master's program and teaches courses including Applied Computer Security, Internet Security, Data Science Programming, Internet of Things, Cloud Computing, and Mobile Networks and Protocols.
- Location: Skelleftea, A108
- Phone: 0910-585385
- Email: saguna.saguna@ltu.se
Her research focuses on Human activity recognition, Internet-of-things (IoT), IoT applications and security, Applied ML/AI in IoT, Human Computer Interaction, and context-aware computing. Her work bridges theoretical computer science with practical applications in smart homes, energy systems, and healthcare technology. She employs advanced machine learning techniques including transfer learning, federated learning, and anomaly detection to solve real-world problems in IoT environments.
Her recent publications demonstrate a strong trend toward applying machine learning to energy systems (particularly in school buildings and smart grids) and developing security frameworks for next-generation networks. Her research shows increasing sophistication in handling data scarcity through transfer learning approaches and addressing privacy concerns in elderly care through federated learning techniques.
Saguna actively supervises doctoral and master's students, with current PhD projects focusing on machine learning for elderly activity recognition, multimodal IoT interaction with AR, blockchain in smart energy grids, and network anomaly detection in IoT systems.
- Zahra Khais Shahid: Machine Learning Activity Recognition to Detect Deviations in Elderly Daily Routines for Smart Homes with Single Residents (Main supervisor, started 2020)
- Joo Chan Kim: Multimodal interaction in IoT systems with focus on Augmented Reality (Co-supervisor, started 2018)
- Vidya Krishnan: Blockchain and Machine Learning in Smart Energy Grids (Co-supervisor, started 2021)
- Aditya Kumar Pathak: Applying Machine Learning to Detect Network Anomalies in IoT Systems (Co-supervisor, started 2020)
She has successfully supervised numerous master's students to completion, with projects spanning IoT security, smart energy systems, and machine learning applications.
