Faculty Dr Bidhan Barai
Dr Bidhan Barai SRMAP

Dr Bidhan Barai

Assistant Professor

Department of Computer Science and Engineering

Contact Details

bidhan.b@srmap.edu.in

Office Location

Homi J Bhabha Block, Level 3 , Cubicle No: 30

Education

2022
Jadavpur University
India
2011
M.Tech.
Jadavpur University
India
2007
BE
Jadavpur University
India

Personal Website

Experience

  • 2012-2014 – Project Linked Person – CVPR & ISRU (formerly BIRU) Division, Indian Statistical Institute, Kolkata
  • March 2022 – July 2022 – Assistant Professor, Swami Vivekananda Institute of Science & Technology, Kolkata
  • August 2022 – February 2025 – Assistant Professor, CSE(AI&ML), Techno Main Salt Lake, Kolkata

Research Interest

  • Design and implementation of machine learning and pattern recognition algorithms (such as SVM and GMMs) to identify or verify a person based on their speech characteristics with an emphasis on enhancing robustness by extracting usable features (such as MFCC, iVector, and xVector).
  • Manipulation and analysis of digital images using algorithms to extract information and classify objects. Application of ML models (such as CNN, RNN, R-CNN) for the task such as object detection, segmentation, and recognition.

Awards

  • 2009 - Qualify Graduate Aptitude Test – MHRD, India.
  • 2015-2020 – RGNF Fellowship for PhD – UGC, India

Memberships

  • Memberships in professional associations to be listed

Publications

Patents

Projects

Scholars

Interests

  • Artificial Intelligence
  • Machine Learning
  • Speaker Recognition
  • Speech Recognition

Thought Leaderships

There are no Thought Leaderships associated with this faculty.

Top Achievements

Research Area

No research areas found for this faculty.

Computer Science and Engineering is a fast-evolving discipline and this is an exciting time to become a Computer Scientist!

Computer Science and Engineering is a fast-evolving discipline and this is an exciting time to become a Computer Scientist!

Recent Updates

No recent updates found.

Education
2007
BE
Jadavpur University
India
2011
M.Tech.
Jadavpur University
India
2022
Jadavpur University
India
Experience
  • 2012-2014 – Project Linked Person – CVPR & ISRU (formerly BIRU) Division, Indian Statistical Institute, Kolkata
  • March 2022 – July 2022 – Assistant Professor, Swami Vivekananda Institute of Science & Technology, Kolkata
  • August 2022 – February 2025 – Assistant Professor, CSE(AI&ML), Techno Main Salt Lake, Kolkata
Research Interests
  • Design and implementation of machine learning and pattern recognition algorithms (such as SVM and GMMs) to identify or verify a person based on their speech characteristics with an emphasis on enhancing robustness by extracting usable features (such as MFCC, iVector, and xVector).
  • Manipulation and analysis of digital images using algorithms to extract information and classify objects. Application of ML models (such as CNN, RNN, R-CNN) for the task such as object detection, segmentation, and recognition.
Awards & Fellowships
  • 2009 - Qualify Graduate Aptitude Test – MHRD, India.
  • 2015-2020 – RGNF Fellowship for PhD – UGC, India
Memberships
  • Memberships in professional associations to be listed
Publications
Contact Details

bidhan.b@srmap.edu.in

Scholars
Interests

  • Artificial Intelligence
  • Machine Learning
  • Speaker Recognition
  • Speech Recognition

Education
2007
BE
Jadavpur University
India
2011
M.Tech.
Jadavpur University
India
2022
Jadavpur University
India
Experience
  • 2012-2014 – Project Linked Person – CVPR & ISRU (formerly BIRU) Division, Indian Statistical Institute, Kolkata
  • March 2022 – July 2022 – Assistant Professor, Swami Vivekananda Institute of Science & Technology, Kolkata
  • August 2022 – February 2025 – Assistant Professor, CSE(AI&ML), Techno Main Salt Lake, Kolkata
Research Interests
  • Design and implementation of machine learning and pattern recognition algorithms (such as SVM and GMMs) to identify or verify a person based on their speech characteristics with an emphasis on enhancing robustness by extracting usable features (such as MFCC, iVector, and xVector).
  • Manipulation and analysis of digital images using algorithms to extract information and classify objects. Application of ML models (such as CNN, RNN, R-CNN) for the task such as object detection, segmentation, and recognition.
Awards & Fellowships
  • 2009 - Qualify Graduate Aptitude Test – MHRD, India.
  • 2015-2020 – RGNF Fellowship for PhD – UGC, India
Memberships
  • Memberships in professional associations to be listed
Publications
Contact Details

bidhan.b@srmap.edu.in

Scholars