Academic Identity

Vidwan-ID : 59546

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  • Dr Debi Prosad Dogra

  • Associate Professor
  • Indian Institute of Technology Bhubaneswar
Publications 2009 - 2023

Publications

  • 70
    Journal Articles
  • 40
    Conference
    Proceedings
  • 3
    Review
  • 1
    Editorial
  • 5
    Projects
  • 1
  • 11
  • 2
  • 72

Citations / H-Index

1727 Citations
24 h-index
1817 Citations

Altmetrics

17
31
40
1133
19

Google Scholar

Co-author Network

Expertise

Computer Science Information Systems

Computer Science and Engineering

Personal Information

Dr Debi Prosad Dogra

Male
School of Electrical Sciences Indian Institute of Technology Bhubaneswar, Argul
Khordha, Odisha, India - 752050

Experience

  • Associate Professor

    School of Electrical Sciences

    Indian Institute of Technology Bhubaneswar

  • Assistant Professor

    School of Electrical Sciences

    Indian Institute of Technology Bhubaneswar

  • Group Leader

    Advanced Technology Group

    Samsung Research Institute Noida

  • Research Fellow

    Multimedia Research Team

    Electronics and Telecommunication Research Institute

  • Lecturer

    Computer Science and Engineering

    Haldia Institute of Technology

Qualification

  • Ph.D

    Indian Institute of Technology Kharagpur

Membership In Professional Bodies

2006

IEEE

Member

2006

IEEE

Member

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Research Projects

Computer vision guided mass gathering surveillance using crowd flow analysis

Funding Agency : DST

Analysis and Implementation of Nonchronological Video Synopsis and Indexing

Funding Agency : IKST Bangalore

Video Analytics Algorithms to Detect Unusual Behavior in Crowds and Traffic

Funding Agency : OutDu Mediatech Pvt. Ltd.

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Computer vision guided mass gathering surveillance using crowd flow analysis

Funding Agency : DST

Analysis and Implementation of Nonchronological Video Synopsis and Indexing

Funding Agency : IKST Bangalore

Video Analytics Algorithms to Detect Unusual Behavior in Crowds and Traffic

Funding Agency : OutDu Mediatech Pvt. Ltd.

C/C++ implementation with adequate GUI for sparsity based abnormal event detection

Funding Agency : IKST Bangalore

C/C++ implementation with adequate GUI for temporal analysis of motif mixtures using Dirichlet processes

Funding Agency : IKST Bangalore

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Publications (114)

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