Muhammad Irfan

Muhammad did his Bachelor in Information Technology in 2006 from N.W.F.P Agriculture University Peshawar, Pakistan, and Masters of Sciences in Computer Engineering in 2009 from COMSATS Institute of Information Technology, Pakistan. He worked as lecturer in Afghanistan for two years and he worked as a lecturer at the state University of Swat, Pakistan between 2011 and 2015. His current research interests are machine learning, computer vision and crowd analysis.

Additional Info

  • Project title: Machine learning techniques for cognitive dynamic systems: application of the Bayesian approach to radio and video domains
  • Research project:

    The proposed PhD involves the study of machine learning techniques with a Bayesian approach: the goal of the PhD is to develop novel learning techniques and apply them to possibly two different domains. On one side, bio-inspired learning approaches can be applied to cognitive radio networks thus allowing adaptive methods for analysis and decision to evolve under specific environmental operating conditions. Focus will be on Bayesian methods and game theory approach for modelling dynamic strategies for opportunistic spectrum access. Moreover, a Bayesian approach can be applied for learning from video data: signals acquired from both static surveillance cameras and egocentric vision sensors can be analysed for characterizing behaviours of both single users and complex active entities (e.g. crowds). 
    Activities will be oriented to address the use of developed methods within bio-inspired cognitive artificial systems for physical security and telecommunications.

  • Primary Supervisor(s): Lucio Marcenaro, Carlo Regazzoni
  • Secondary Supervisor(s): Laurissa Tokarchuk
  • PhD cycle: XXXI