Dimitrios Gravos, my M.Sc. student at the University of Patras, was interviewed about his thesis work for the Huffington Post (Greece). Dimitrios created "Augmentor", an AR-driven educational app that works in the context of museums and that allows visitors to go hunting for information on the exhibits, in a game of questions that is designed to enhance their knowledge and provide an educational interactive experience.
- Challenges in Mobile Text Entry using Virtual Keyboards for Low-Vision Users
- Intelligent Journey Planning with Multi-hop Scheduling Optimisation for the Yachting Sector
- IoT Integration in the Manufacturing Environment Towards Industry 4.0 Applications
- Predicting retail business success using urban social data mining
- Mobile Text Entry Behaviour in Lab and In-the-Wild studies: Is it different?
- Investigating Error Injection to Enhance the Effectiveness of Mobile Text Entry Studies of Error Behaviour
- Joint Proceeding of the Poster and Workshop Sessions of AmI-2019, the 2019 European Conference on Ambient Intelligence
- Performance of Raspberry Pi microclusters for Edge Machine Learning in Tourism
- Discovering User Location Semantics using Mobile Notification Handling Behaviour
- Improving Hydroponic Agriculture through IoT-enabled Collaborative Machine Learning
Together with my Ph.D. student, Jeries Besharat, we released a novel mobile and web service for the city of Patras in Greece. The service uses data aggregated from FourSquare and shows users where the "hot" areas in the city are, depending on the day and the time of day. The visualisation uses a heatmap that depicts check-in concentrations over the preceding 2 months, which the users can control, hence being able to plan their activities for any day and time in the week.
I gave a departmental seminar on the 21st of October, at the Computer & Information Science Department, University of Strathclyde.
My talk was titled "Making sense of social network data for smart city applications". Here is a summary: