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.
- 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
- Internet of things applications on monitoring hydroponics through wireless sensor networks
- Building an Industrial IoT Infrastructure with open Source Software for Smart Energy
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:
Today I released a new app on Play Store, called NotifHUEcations. It's meant to work together with the Philips Hue system.
Feel free to check it out and send me any feedback! You can download the app here https://play.google.com/store/apps/details?id=com.notifhuecations.main
A video can be found here http://www.youtube.com/watch?v=j7zVz1xISQQ