Hamed Haddadi studied for BEng/MSc/PhD at University College London and the University of Cambridge. He was a postdoctoral researcher at Max Planck Institute for Software Systems in Germany, and a postdoctoral research fellow at Department of Pharmacology, University of Cambridge and The Royal Veterinary College, University of London. He has spent time working and collaborating with Intel Research, Microsoft Research, AT&T Research, Telefonica, and Sony Europe.
He is currently a Lecturer in Digital Media at EECS School in Queen Mary University of London and a Research Scientist at Qatar Computing Research Institute.
He is interested in Networked Systems & Social Computing. He enjoys designing and building systems that enable better use of our digital footprint, while respecting users’ privacy. He is also broadly interested in sensing applications and Human-Data Interaction. He is currently serving as the Information Services Director for the ACM SIGCOMM Executive Committee.
Social media provide an invaluable source of information for understanding individuals’ mental and physical health, in addition to the society’s perceptions of health and wellbeing. In addition, today there are a large number of alternative sources of data available: environmental data, ambient sensors, and wearable devices. In this talk I will discuss the challenges and opportunities in gathering these disparate sources of data together to create a holistic view towards individual and public health.