My research focuses on applying Artificial Intelligence and Machine Learning in the mobile crowdsourcing domain and specifically on participatory sensing for environmental monitoring. More details about my interests:
- Machine Learning (Gaussian Processes for Spatio-Temporal Modelling, Unsupervised Learning)
- Artificial Intelligence (Heuristic Search, Approximation Algorithms, Dynamic Programming, Stochastic Algorithms)
I am also interested in applications concerning smart cities, human health and wellbeing in general.
MSc Advanced Computing, Imperial College London
BSc Computer Science, University College London
30th AAAI Conference on Artificial Intelligence (AAAI-16)
14th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 15)
Zenonos, Alexandros, Stein, Sebastian and Jennings, N. R.
Coordinating measurements for air pollution monitoring in participatory sensing settings
At 14th Int. Conference on Autonomous Agents and Multi-Agent Systems, Turkey.
04 - 08 May 2015.
Zenonos, Alexandros, Stein, Sebastian and Jennings, Nicholas R
An Algorithm to Coordinate Measurements using Stochastic Human Mobility Patterns in Large-Scale Participatory Sensing Settings
At Thirtieth AAAI Conference on Artificial Intelligence (AAAI-16).
7 pp, .
Zenonos, Alexandros, Stein, Sebastian and Jennings, Nicholas R.
Coordinating measurements for environmental monitoring in uncertain participatory sensing settings , Southampton, UK University of Southampton 40pp.
(Technical Report, 2016).
Zenonos, Alexandros, Khan, Aftab, Kalogridis, Georgios, Vatsikas, Stefanos, Lewis, Tim and Sooriyabandara, Mahesh
HealthyOffice: mood recognition at work using smartphones and wearable sensors
At The Second IEEE International Workshop on Sensing Systems and Applications Using Wrist Worn Smart Devices, 2016, Sydney, Australia.
14 - 18 Mar 2016.