Hi there, who are you?
– My research interests lie in the area of pervasive and mobile computing in particular, human activity recognition, context awareness, applied machine learning, internet-of-things and cloud computing. My current focus is in researching and developing intelligent applications and systems within the smart cities and smart energy domains.
In what courses will the students meet you?
– I will be teaching the course Internet of Things and Cloud Services.
What do you want the students to learn from your classes?
– The students will learn both theoretical concepts and technologies within the IoT domain alongside gaining practical hands-on experience in the labs where creative thinking will be encouraged to build innovative applications for real-life scenarios.
What is the best thing about teaching?
– For me the best thing about teaching is to see my students grow, develop and hone their skills as well as become independent creative thinkers and problem solvers who can tackle any real world problem in their future careers, be it in industry or research.
Why should one study the Master Programme in Computer Science and Engineering – specialization in Distributed Cloud Systems at Luleå University of Technology?
– This master’s program will equip students with the most relevant and current knowledge required to work in the new and emerging fields of cloud computing and Internet of Things. After taking the programme, students will be able to work in cutting-edge areas of industry and research with their newly gained highly advanced skill set.
What kind of master thesis projects will the students work on?
– In this course, students will work on the real-world problems in their master’s thesis related to Internet of Things, cloud computing, smart cities and smart grids. I have co-supervised three master’s theses students in 2014 with Prof. Christer Åhlund and Dr. Karan Mitra, details of these theses works can be found below:
- CloudSimDisk: Energy-Aware Storage Simulation in CloudSim
- Sensor Communication in Smart Cities and Regions: An Efficient IoT-Based Remote Health Monitoring System
- A Bayesian Approach for Forecasting Heat Load in a District Heating System
Are there any possibilities of any industry collaborations?
– In the past, our research group at Luleå University of Technology has had several collaborations as well as feedback from different industry partners such as Ericsson, Ascom, Skellefteå Kraft, IBM Research, Telia, Fortlax, Facebook, etc. and we will continue to do so in the future. Based on the student’s project topic and their skill-set, there will be utmost focus towards finding matching industry partners.