Saguna Saguna

About me

My areas of research are: Human activity recognition, Internet-of-things (IoT), IoT applications, services and platforms, IoT Security, Applied ML/AI in IoT, Human Computer Interaction (HCI), context-aware computing

Information

Associate Professor in the Pervasive and Mobile Computing (PMC) research group

Program Coordinator: Master Programme in Information Security External link.

Teaching and Supervision

At LTU, apart from research, I am involved in teaching and supervsion in a number of courses and thesis works, see details below:

Master Courses:

• Applied Computer Security: A7010E, 7.5 credits, Lp 1
• Internet Security: A7011N, 7.5 credits, Lp 2
• Data Science Programming: D7054E, 7.5 credits, Lp 3
• Internet of Things: M7023E, 7.5 credits, Lp 2
• Cloud Computing: M7024E, 7.5 credits, Lp 2
• Mobile Networks and Protocols: D7002D, 7.5 credits, Lp 3
• Networks and Mobility: D0021E, 7.5 credits, Lp 3

These master courses are mainly part of the Master Programme in Computer Science and Engineering with  External link.specialization in Distributed Cloud Systems External link.. But, students can also take them individually or part of some other linked programme. 

Undergraduate Courses:

• Network and Mobility: D0021E, 7.5 credits, Lp 3

Project Course Supervision:

• Project in Distributed Cloud Systems 1: M7025E, 15 credits, Lp 3-4
• Project in Distributed Cloud Systems 2: M7026E, 15 credits, Lp 2

Master Thesis Supervision:

• Master Thesis in Computer Science and Engineering, MSc in Technology: 
  • ​X7003E, 30 credits, Lp 3-4, Check entry requirements
• PERCCOM Master Thesis
  • More details can be found at University of Lorraine website here External link. and on Luleå University of Technology website here External link..

Ph.D. Supervision:

• Co-supervision of Ph.D. Thesis, if you are enrolled in a Ph.D. program in LTU or another university and are interested to collaborate you can contact me with your proposal. Please note there is no funding currently available from LTU.

Ongoing Ph.D. Co-supervision

• Zahra Khais Shahid: Activity Recognition using Machine Learning to Detect Anomalies in Elderly Behaviour for Single Resident Smart Homes (Started 2020) - Main supervisor
• Joo Chan Kim: Multimodal Interaction in IoT Systems with a focus on Augmented Reality (Started 2018) - Co-supervisor
• Vidya Krishnan: Blockchain and Machine Learning in smart grids (Started 2021) - Co-supervisor
• Aditya Kumar Pathak: Applying Machine Learning to Detect Network Anomalies in IoT Systems (Started 2020) - Co-supervisor

Licentiate Supervision

• Samuel Idowu: Forecasting Heat Load using Applied Machine Learning for Smart District Heating Systems (Completed Licentiate Thesis in 2018) -  - Co-supervisor

Ongoing Master Thesis Students:

• New students start January 2021

Completed Master Thesis Students with co-supervision:

• Sri Krishna Srinivas: (Completed)
• John Kanwar: (Completed)
• Orsola Fejzo: (Completed)
• Meruyert Nurgazy: (Completed) 
• Jeremy Facchetti: (Completed)
• Adyasha Swain: (Completed)
• Kubra Saeedi: (Completed)
• Shabna Siraj: (Completed)
• Victor Araujo: (Completed)
• Aigerim Zhalgasbekova: (Completed)
• Tamara Belyakhina: (Completed)
• Giang Tran: (Completed)
• Jean-Paul Bambanza: (Completed)
• Haidar Chikh: (Completed)
• Ngo Manh Khoi: (Completed)
• Rohan Nanda: (Completed)
• Baptiste Louis: (Completed)