Abir Das


Education


  • Postdoctoral Researcher, Nov 2016 - Present
    Computer Science Department,
    Boston University, Boston, USA

    Research Area: Vision and Language (Natural Language Video Description), Computer Vision (Activity Detection, Explainable AI)

  • Postdoctoral Researcher, Nov 2015 - Oct 2016
    Computer Science Department,
    University of Massachusetts, Lowell, USA

    Research Area: Vision and Language (Natural Language Video Description), Computer Vision (Person Re-identification and Tracking)

  • Ph.D. Sep 2010 - Sep 2015
    Electrical Engineering,
    University of California, Riverside, USA

    Research Area: Computer Vision (Person Re-identification and Tracking, Machine Learning)

  • M.S., Electrical Engineering, Jul 2013
    Electrical Engineering,
    University of California, Riverside, USA

    GPA: 3.82/4.00

  • B.E., Electrical Engineering, Jul 2003 - Jun 2007
    Electrical Engineering,
    Jadavpur University, Kolkata, India

    GPA: 8.44/10.0

Relevant Courses Taken

  • Linear System Theory, Mathematical Methods for Electrical Engineers, State and Parameter Estimation Theory, Current Topics in Computer Vision and Pattern Recognition,Stochastic Processes, Advanced Computer Vision, Advanced Robotics, Optimization

Teaching Experience


  • Teaching Assistant, Apr 2014 - Jun 2014
    Electrical Engineering Department,
    University of California, Riverside, USA

    Designed and conducted Lab, took discussion classes, prepared detailed solutions and graded homeworks for Signals and Systems (EE110B)

Industry Experience


  • Consultant, Jul 2007 - Aug 2010
    Performance Improvement group,
    PricewaterhouseCoopers Ltd, India.

    Developed add-ins for MS Office (Word, Excel and PowerPoint) using the Visual Basic for Applications and Visual Studio Tools for Office (VSTO) in C#. The role also included system and unit testing of the application.

  • Summer Intern, Jun 2006 - Jul 2006
    Automation and Drives division,
    Siemens, India.

    Worked on 'Application Based Selection of Motors'.