SCONE meeting 26-04-2017


Room 1.33, Jack Cole Building, School of Computer Science, University of St Andrews

How to get here

How to get to St Andrews. In short, get a train to Leuchars or Dundee and then the 99 bus (every 10-15 min). If there are a group of you then a taxi from Leuchars can be cheaper than the bus. Alternatively if coming from Glasgow there is the X24 bus which can sometimes be quicker than the train/bus combo. The Jack Cole Building is number 16 on this map (the bus station is number 21 and is about a 5 min walk).


  • 1200-1300 lunch
  • 1300-1500 talks:
    • “From Smartphone based Monitoring of Depressive States to Data-Driven Behaviour Interventions”, Mirco Musolesi, UCL (see below)
    • “Spatio-Temporal Characterisation of Wireless Sensor Network Data”, Ijeoma Oluchukwu Okeke (Aberdeen)
    • “ZipWeave: Towards Efficient and Reliable Measurement-based Mobile Coverage Maps”, Mah-Rukh Fida (Edinburgh)
    • “Investigation of Virtual Network Isolation Security in Cloud Computing”, Haifa Al Nasseri (St Andrews)
  • 1500-1530 scones
  • 1530-1630 PhD student activities
  • 1630-1700 community discussion / announcements
  • 1700- pub + dinner

Keynote speaker

“From Smartphone based Monitoring of Depressive States to Data-Driven Behaviour Interventions”, Mirco Musolesi (UCL)

Abstract: Existing interview-based studies in the literature have shown that depression leads to a reduction of mobility and activity levels, which can be captured by analysing the mobility patterns of people affected by this condition. At the same time, new mobile technologies can help tackling mental health problems by providing new ways for supporting both patients and healthcare officers, possibly through the automatic delivery of behaviour interventions. In this talk, I will present our ongoing projects in the area of mobile systems for mental health. In particular, I will show how mobile phones can be used to collect and analyse mobility patterns of individuals in order to quantitatively understand how mental health problems affect their daily routines and behaviour and how potential changes can be automatically detected. I will demonstrate that it is possible to observe a non trivial correlation between mobility patterns and depressive mood using GPS traces collected by means of smartphones. I will also provide an overview of our ongoing efforts in designing general inference algorithms as a basis for unobtrusive monitoring and prediction of human behaviour using mobile data.

Bio: Mirco Musolesi is a Reader in Data Science at the Department of Geography at University College London and a Faculty Fellow at the Alan Turing Institute. He received a PhD in Computer Science from University College London and a Master in Electronic Engineering from the University of Bologna. At UCL he leads the Intelligent Social Systems Lab. The research focus of his lab is on sensing modelling, understanding and predicting human behaviour in space and time, at different scales, using the “digital traces” we generate daily in our online and offline lives. This work has applications in a variety of domains, such as intelligent systems design, digital health, security & privacy, and ubiquitous computing. More details about his research profile can be found at:


  1. Walaa Alayed, Glasgow
  2. Abeer Ali, Glasgow
  3. Colin Allison, St Andrews
  4. Percy Perez Aruni, St Andrews
  5. Saleem Bhatti, St Andrews
  6. Simone Conte, St Andrews
  7. Levente Csikor, Glasgow
  8. Richard Cziva, Glasgow
  9. Gorry Fairhurst, Aberdeen
  10. Marwan Fayed, Stirling
  11. Mah-Rukh Fida, Edinburgh
  12. Abhirup Ghosh, Edinburgh
  13. Tristan Henderson, St Andrews
  14. Stuart Johnston, Forth Software
  15. Simon Jouet, Glasgow
  16. Yota Katsikouli, Edinburgh
  17. Morteza Kheirkhah, Aberdeen
  18. Mahesh Marina, Edinburgh
  19. Stephen McQuistin, Glasgow
  20. Mirco Musolesi, UCL
  21. Haifa Al Nasseri, St Andrews
  22. Chris Norval, St Andrews
  23. Ijeoma Oluchukwu Okeke, Aberdeen
  24. Sonia Panchen, Forth Software
  25. Colin Perkins, Glasgow
  26. Dimitrios Pezaros, Glasgow
  27. Rik Sarkar, Edinburgh
  28. Khawar Shehzad, St Andrews
  29. Mircea Sica, Glasgow
  30. Rajkarn Singh, Edinburgh
  31. Andre Venne, Aberdeen
  32. Fabio Verdicchio, Aberdeen
  33. Ryo Yanagida, St Andrews
  34. Sidi Zhan, St Andrews
  35. Yuchen Zhao, St Andrews