Mohammad Abu Alsheikh

Mohammad Abu Alsheikh 

Postdoctoral Associate
CSAIL, MIT
32-268, 77 Mass Ave, Cambridge, MA 02139
Email: mabualsh[at]mit[dot]edu

I am a postdoctoral associate at MIT Computer Science and Artificial Intelligence Laboratory working with Dina Katabi. I am interested in the applications of machine learning in people-centric sensing, human activity recognition, and smart cities.

I received my Ph.D. from Nanyang Technological University, Singapore in April 2017. My Ph.D. advisors were Dusit Niyato, Derek Leong, Hwee-Pink Tan, and Shaowei Lin. I received my B.Eng. degree in computer systems engineering from Birzeit University, Palestine in 2011. I was a visiting researcher at Trinity College Dublin, Ireland in the summer of 2015. Between 2010 and 2012, I was a software engineer working on developing robust web services, Ajax-based web components, and smartphone applications.

Selected Publications

The following three papers provide a good overview of my research:

  • M. Abu Alsheikh, D. Niyato, D. Leong, P. Wang, and Z. Han, “Privacy management and optimal pricing in people-centric sensing,” in IEEE Journal on Selected Areas in Communications, 2017 [IEEE Xplore][arXiv]

  • M. Abu Alsheikh, D. Niyato, S. Lin, H. P. Tan, and D. I. Kim, “Fast adaptation of activity sensing policies in mobile devices,” in IEEE Transactions on Vehicular Technology, 2016 [IEEE Xplore][arXiv]

  • M. Abu Alsheikh, D. Niyato, S. Lin, H. P. Tan, and Z. Han, “Mobile big data analytics using deep learning and Apache Spark,” in IEEE Network, 2016 [IEEE Xplore][arXiv]

The full list can be found HERE

Professional Activities:

I regularly review (mainly machine learning-related papers) for a number of international journals including IEEE Transactions on Vehicular Technology, IEEE Transactions on Wireless Communications, IEEE Transactions on Communications, IEEE Journal on Selected Areas in Communications, IEEE Transactions on Instrumentation and Measurement, IEEE Transactions on Mobile Computing, IEEE Network Magazine, IEEE Wireless Communications Magazine, and Elsevier Computer Networks.