Hello, I'm Dr. Nirbhay Tagore

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About Me

I am working as an Assistant Professor in the Department of Computer Science and Engineering at Rajiv Gandhi Institute of Petroleum Technology Jais, Amethi India. My research area focuses on Person Re-Identifiction using Deep Learning Techniques is sub discipline of Digital Image Processing and Computer Vision. For my research purpose I use conventional machine learning and deep learning methods.

During my free time, I love to explore new places, experience the beauty and food of different regions. I also love to listen music and play games.

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Academics and Skills

May 2023 - Present

Assistant Professor in Computer Science and Engineering department at

Rajiv Gandhi Institute of Petroleum Technology Jais, Amethi India

November 2021 - May 2023

Assistant Professor in Computer Science and Engineering department at

Bennett University, Greater Noida, India

Subjects Taught: Operating Systems; Deep Learning; Image Processings
December 2017 - November 2021

Ph.D. in Computer Science and Engineering

Indian Institute of Technology (BHU), Varanasi, India

Specialization: Digital Image Processing and Computer Vision
July 2015 - August 2017

M.Tech. in Information and Technology

National Institute of Technology, Patna, India

August 2011 - June 2015

B.Tech. in Computer Science and Engineering

Dr. AITH Awadhpuri, Kanpur Nagar, India (affiliated to AKTU, Lucknow)

June 2011

Intermediate (Science)

BNSD Inter College Chunniganj, Kanpur Nagar(affiliated to UP state board)

May 2009

High School (Science)

Jawahar Navoday Vidyalaya Sarsaul, Kanpur Nagar (affiliated to CBSE)

Skills

  • Programming Languages : C, C#, JAVA, Python
  • Web Based Technologies : ASP.NET Webforms/MVC, HTML, CSS, Javascript, PHP
  • Databases : MS SQL Server, Oracle, MySQL
  • IDE : MATLAB, Eclipse, MS SQL Developer, ANACONDA Navigator and Visual Studio
  • Knowledge of Operating Systems : Windows 98 to Windows 10, Linux (Ubuntu and CentOS)
  • Area of Interest : Image Processing and Computer Vision, Machine Learning

My Publications

Journals

  • Nirbhay Kumar Tagore, Pratik Chattopadhyay, Lipo Wang “T-MAN: a neural ensemble approach for person re-identification using spatio-temporal information” Multimedia Tools and Applications, 79(37), 28393-28409.
  • Nirbhay Kumar Tagore, Ayushman Singh, Sumanth Manche, Pratik Chattopadhyay "Person re-identification from appearance cues and deep Siamese features.” Journal of Visual Communication and Image Representation 75 (2021): 103029.
  • Nirbhay Kumar Tagore, Pratik Chattopadhyay,"A Bi-Network Architecture for Occlusion Handling in PersonRe-Identification” Signal, Image and Video Processing (2022): 1-9.
  • Nirbhay Kumar Tagore, Pratishthit Raj, and Pratik Chattopadhyay "Deep pixel regeneration for occlusion reconstruction in person re-identification”. Multimedia Tools and Applications (2023): 1-21.

Conferences

  • Nirbhay Kumar Tagore, and Shashank Kumar Singh. "Crowd counting in a highly congested scene using deep augmentation based convolutional network." In International Conference on Advances in Engineering Science Management & Technology (ICAESMT)-2019, Uttaranchal University, Dehradun, India. 2019.
  • Shashank Kumar Singh and Nirbhay Kumar Tagore,. "UNDERWATER BASED ADHOC NETWORKS: A brief survey to its challenges, feasibility and issues." In 2019 2nd International Conference on Signal Processing and Communication (ICSPC), pp. 20-25. IEEE, 2019.
  • Nirbhay Kumar Tagore, and Arnob Mondal. "SCap Net: A Capsule Network Based Approach for Person Re-identification." In Proceedings of the Global AI Congress 2019, pp. 133-144. Springer, Singapore, 2020.
  • Nirbhay Kumar Tagore, and Pratik Chattopadhyay. "SMSNet: A Novel Multi-scale Siamese Model for Person Re-Identification" In: Pro-ceedings of the 17th International Joint Conference on e-Business and Telecommunications - Volume 1: SIGMAP,,pp. 103–112. INSTICC, SciTePress (2020). DOI 10.5220/0009885001030112
  • Nirbhay Kumar Tagore, Ramakant Kumar, Naina Yadav, and Ankit Kumar Jaiswal. "Occlusion Reconstruction for Person Re-identification." In Proceedings of Data Analytics and Management: ICDAM 2022, pp. 161-172. Singapore: Springer Nature Singapore, 2023.
  • Ankit Kumar Jaiswal, Shiksha Singh, Santosh Kr Tripathy, Nirbhay Kumar Tagore,, and Arya Shahi. "Some Methods for Digital Image Forgery Detection and Localization." In Proceedings of Data Analytics and Management: ICDAM 2022, pp. 119-127. Singapore: Springer Nature Singapore, 2023.
  • Harpreet Kaur, Khusdeep Kaur, Ramakant Kumar, and Nirbhay Kumar Tagore,. "Leveraging Smart Sensors for Human Function Traceability." In 2023 International Conference on Advancement in Computation & Computer Technologies (InCACCT), pp. 744-749. IEEE, 2023.

Experience and Achievements

Experience

  • Teaching Assistantship (8-10 hour work load) per week during M.Tech from 2015-17 at NIT , Patna.
  • Teaching Assistantship from July 2017 - November 2021 in IIT (BHU), Varanasi.

Certifications and Scores

  • Qualified Graduate Aptitude Test in Engineering (GATE) of session 2015 and 2017.
  • Qualified UGC-Net Exam (December 2017) in Computer Science and Application.

Awards and Scholarship

  • Post Graduate Scholarship during session 2015-2017 by AICTE, India
  • Research Assistantship (Junior Research Fellowship) from July 2017 to July 2019.
  • Research Assistantship (Senior Research Fellowship) from August 2019 till now.

My Activities

Workshops and Conferences attended

  • Attended ICVGIP 2018 held at Indian Institute of Information and Technology Hyderabad between 18-22 December 2018
  • Presented a paper at ICAESMT19 Conference 14th to 15th March 2019 Dehradun, Uttarakhand, India-Uttaranchal
  • Attended Global AI Congress 2019 at Kolkata in August 2019
  • 17th International Conference on Signal processing and Multimedia Applications (SIGMAP 2020)

Trainings

  • Course in JAVASE programming on JDK1.6 at SIS Tech, Kanpur Nagar from July 18-25, 2012.
  • 6 Weeks Summer training on Core JAVA with J2EE, from MG Websoft Technologies Kanpur Nagar during June 2014 to July 2014.

Extra Curricular Activities

  • Attended One week short term course on Foundation of Data Security at National Institute of Technology Patna from February 16-20, 2016
  • Participated in Expert Lecture Series on Distributed Computing organized under ICT Academy at National Institute of Technology, Patna during June 1-5, 2016
  • Participated in CEP/FDP organized at IIT BHU Varanasi in December 2018
  • Coordinated as volunteer in SWMDC 2018 at Indian Institute of Technology (BHU), Varanasi, in June 2018
  • Coordinated as volunteer in Faculty Development Program on Machine Learning in Image and Video Analytics at Indian Institute of Technology (BHU), Varanasi in December 2018.

Get In Touch

Contact

My Contact Details

  • Email nirbhayaith@gmail.com, nktagore@rgipt.ac.in
  • Phone +91 9118210234, +91 535 2704 672
  • Address Assistant Professor
    Department of Computer Science and Engineering
    Rajiv Gandhi Institute of Petroleum Technology, Jais, Amethi - 229308