About Me...


I am Mahmudul Hasan. I was born and rasised in Dhaka, Bangladesh. I obtained my Bachelors and Masters degree in Computer Science and Engineering from Bangladesh University of Engineering and Technology (BUET). It is the most prestigious academic institution in Bangladesh. After my graduation, I worked as the Research Lecturer at Computer Sicence department of East West University. Currently, I am a Ph.D. candidate of Computer Science in University of California, Riverside. I did two summer internships at Metaio Inc. in 2014 and at Comcast Labs in 2015. My main research interests are -
   1. Computer vision - Human Activity Recognition, Object Recognition, Video Description, and Tracking.
   2. Machine learning --Active Learning, Deep Learning, and Reinforcement Learning.

Overview...


Context Aware Active Learning

Activity recognition in video has recently benefited from the use of the context...read more

Learning Temporal Regularity in Videos

Perceiving meaningful activities in a long video sequence is a challenging problem due to ambiguous definition..read more

Activity Recognition with Hybrid Feature Models

WLearning activity models continuously from streaming videos...read more

Incremental Human Activity Modeling

Most of the state-of-the-art approaches to human activity recognition in video need...read more

Human Activity Recognition

We detect seven activities defined by TRECVID SED task such as CellToEar, Embrace, ObjectPut, PeopleMeet...read more

Aerial Video Tracking

The analysis of videos from aerial platforms remains a challenging and important problem. The most fundamental...read more

News & Updates...


  • [Mar 2016] A paper titled "Learning Temporal Regularity in Video Sequences" got accepted in CVPR 2016.
  • [Oct 2015] A paper titled " Incremental Learning of Human Activity Models from Videos" got accepted in CVIU
  • [Sep 2015] A paper titled "A Continuous Learning Framework for Activity Recognition Using Deep Hybrid Feature Model" got accepted in TMM
  • [Sep 2015] A paper titled "Context Aware Active Learning of Activity Recognition Models" got accepted in ICCV 2015
  • [Jun 2015] Started summer internship at Comcast Labs, Washington DC.

Research...


  • Research Projects

    Please click here to get a broad overview of my completed and ongoing research projects.
    1.   Learning Temporal Regularity in Video Sequences
    2.   Context Aware Active Learning of Activity Recogntion Models
    3.   Continuous Learning of Human Activity Models using Deep Nets
    4.   Incremental Activity Modeling and Recognition in Streaming Videos
  • Motivations Behind My Research

    It's true that, processing power of a computer increased tremendously over the last few decades. Yet, it's far beyond the capability of a human brain, specially in visual scene understanding. A human brain can easily comprehend its surroundings and is capable of making quick decisions, which very hard and intractable in many cases even for the super fast computer. My research is driven by these facts and the following question: "How to build a machine with visual capability to the level of a human brain?"
  • My Achievements So Far

    My research interest lies in human activity recognition in continuous videos and object tracking in aerial videos. So far, I developed algorithms to detect and recognize human activities in surveillence videos, to track humans and vehicles in unstable aerial videos. Currently, I am working on incremental activity modeling in streaming videos.
  • Educations...


  • Ph.D. Candidate in Computer Science

    University of California, Riverside

    September 2011 - Present

    Supervisor: Dr. Amit K. Roy-Chowdhury
  • M.Sc. in Computer Science

    Bangladesh University of Engineering and Technology

    September 2009 - August 2011

    Thesis Title: Automatic Detection and Recognition of Vehicle License Plate in Bangla.
  • B.Sc. in Computer Science and Engineering

    Bangladesh University of Engineering and Technology

    March 2004 - December 2008

    Thesis Title: Study of Quantum Computing.
  • I successfully completed a number of exciting academic projects during these years. Please click here to get an overview of these projects. Click here to see the list of courses I completed.

    Work Experiences...


    • Research Intern, Comcast Labs, Washington, DC.

      June 2015 - September 2015

    • Research Intern, Metaio Inc., Dallas, Texas.

      June 2015 - September 2015

    • Teaching Assistant, University of California, Riverside

      September 2013 - Present

    • Graduate Student Research, University of California, Riverside

      June 2012 - Present

    • Research Lecturer, East West University

      May 2009 - August 2011

    Please click here to see the list of coures I taught.