Beyond Supervised Learning of Group-level Activity with Wearable and Environmental Sensors

• Social Network Theory
• Wearable Sensors
• Mobile Sensing
• Community Detection
• Contextual Cluster Formation

• B.Sc. in Computer Engineering, Balochistan University of Information Technology and Management Sciences (BUITMS), Quetta, Pakistan, 2003-2007
• M.Sc. in Electrical Communication Engineering, University of Kassel, Germany, 2008-2011

• Syed Agha Muhammad and Kristof Van Laerhoven, "Quantitative Analysis of Community Detection Methods for Longitudinal Mobile Data ", International Conference on Social Intelligence and Technology (SOCIETY) 2013, State College, Pennsylvania USA, 05/2013
• Syed Agha Muhammad and Kristof Van Laerhoven, "Quantitative Analysis of Community Detection Methods for Longitudinal Mobile Data"(short paper), Third conference on the Analysis of Mobile Phone Datasets, NetMob 2013, Cambridge/MA, USA, 05/2013, in Press
• Syed Agha Muhammad and Kristof Van Laerhoven, "Discovering common structures in mobile call data: An efficient way to clustering ego graphs", Third conference on the Analysis of Mobile Phone Datasets, NetMob 2013, Cambridge/MA, USA, 05/2013, in Press
• Syed Agha Muhammad and Kristof Van Laerhoven: ''Discovery of User Groups with Mobile Data '', Nokia Mobile Data Challenge (MDC 2012), Newcastle, UK, 06/2012.
• Syed Agha Muhammad, Niklas Klein, Kristof Van Laerhoven, and Klaus David: ''A Feature Set Evaluation for Activity Recognition with Body-Worn Inertial Sensors '', Workshop on Interactive Human Behavior Analysis in Open or Public Spaces (InterHub) 2011, Amsterdam, Springer Verlag, 11/2011.