Dr. Mukesh Saini

Assistant Professor

Department of Computer Science and Engineering

mukesh@iitrpr.ac.in


Personal Webpage

Biography

My research focus is broadly on innovative use and design of image processing and machine learning algorithms for multimedia systems, with specialization in Surveillance and Visual Analytics. Areas of my recent work include automatic movie making and privacy-aware video surveillance. In addition, I am also exploring multimedia techniques to solve various problems in the emerging area of Internet of Vehicles. I obtained my Master of Technology (M. Tech) in Electronics Design and Technology from Indian Institute of Science (IISc), Bangalore, in 2006 and PhD in Computer Science from School of Computing, National University of Singapore, Singapore in 2012. I worked as a postdoctoral associate at University of Ottawa/New York University for 3 years before joining IIT Ropar as an Assistant Professor. I have played roles of Reviewer, TPC member, Tutorial organizer, and Panellist for various reputed conferences and journals.

Areas of Research

Multimedia Systems
Surveillance and Privacy
Visual Analytics

Education

PhD National University of Singapore
M.Tech. Indian Institute of Science Bangalore
BE Rajasthan University

Work Experience

Postdoc at University of Ottawa, Canada, 2014-2016
Postdoc at New York University, 2014-2016
Exchange Researcher at University of Winnipeg, 2009
Design Engineer at LSI Logic, 2006

Selected Publications/Patents

Alzamzami, F., Saini, M., & El Saddik, A. DST: days spent together using soft sensory information on OSNsa case study on Facebook. Springer Journal of Soft Computing, 1-12, 2016. [Impact Factor 1.6]. 

Mahapatra, D., Gilani, S., & Saini, M.. Coherency Based Spatio-Temporal Saliency Detection For Video Object Segmentation. IEEE Journal of Selected Topics in Signal Processing (IEEE JSTSP), 8(3), 454-462, 2014 [Imapct Factor 3.63].

Saini, M., Wang, X., Atrey, P. K., & Kankanhalli, M. Adaptive Workload Equalization in Multi-Camera Surveillance Systems. IEEE Transactions on Multimedia (IEEE TMM), 14(3), 555-562, 2012 [Impact Factor 1.76].