I obtained my Ph.D. in Computer Science from the University of Patras in 2003 and my BEng in Computer Systems from the University of Kent in 1997. I have participated in R&D projects co-funded by the EU in the areas of Pervasive Systems and the Internet of Things, Distributed Computing and the Future Internet and Applications of Data Science in Intelligence Environments. The courses I am involved in:
Pervasive Systems - An MSc level course introducing emerging application scenaria, studies characteristic design approaches of Pervasive systems and networks, examines essential algorithmic techniques and performance limits and provides the foundations for engineer algorithms in open-design.
Algorithmic Methods of Data Mining - An MSc level course developing the basic algorithmic techniques for data analysis and mining, with emphasis on massive data sets such as large network data. It covers the main theoretical and practical aspects behind data mining.
Principles of Computer Science II - A BSc level course introducing the principles of the algorthmic approach in bioinformatics.
Smart Objects - An MSc level course that introduces the basics of smart objects, i.e., objects able to interact with an external environment and with other objects.
Some recent topics of focus:
Recent Advances Technologies for Intelligent Sensing in Augmented Reality Environments - As global telecommunication market shift towards the 5G era, it becomes obvious that it is now realistic to expect the delivery of new application experiences that utilize augmented reality (AR) technologies and provide end users with real time as well as real world information from the sensor data collected.
Gamification, Playfulness, and Ludicity in Intelligent Environments - New types of interactions are emerging that combine methods and techniques for developing playful elements with the potential of the Internet-of-Things (IoT) paradigm to directly link actions, decisions and events happening in real-life with in-game educational progress and modern gaming technologies.
Advances in Sensors for Sustainable Smart Cities and Smart Buildings - New ICT technologies are being developed for the intelligent management and control of appliances that provide reliable data to citizens and guide them to achieve a change in behavior and consumption practices.
Techno-Human Collective Systems for Smart Cities Innovation - The coexistence and cooperation of embedded systems with our social life is unveiling a brand new era of exciting possibilities.
I am always open to discuss how we can work together for a MSc thesis. Feel free to come to my office for a discussion, or send me an e-mail.