Positions

Indian Institute of Technology Jodhpur

Assistant Professor (Nov 2023 - Present)

National Institutes of Health, Bethesda, USA

Postdoctoral Visiting Fellow (Apr 2022 - Oct 2023)

Indian Statistical Institute, Kolkata

Visiting Scientist (Dec 2021 - Mar 2022)

Senior Research Fellow (Jul 2018 - Dec 2021)
Junior Research Fellow (Jul 2016 - Jul 2018)

Project - Linked - Person (Aug 2015 - Jul 2016)
Project - Linked - Person (Dec 2013 - Aug 2015)

Education

Indian Statistical Institute

Ph. D. in Computer Science (2021)

Indian Institute of Engineering Science & Technology Shibpur

M. Tech. in Information Technology (2016)

West Bengal University of Technology

M. Sc. in Information Science (2010)

Vidyasagar University

B. Sc. Honours in Mathematics (2007)

Journals

[8] A. Panda, B. Santra and D. P. Mukherjee, “Isolating Features of Object and its State for Compositional Zero-shot Learning,” IEEE Transactions on Emerging Topics in Computational Intelligence, 2023.
[7] B. Santra, U. Ghosh, and D. P. Mukherjee, "Graph-based Modelling of Superpixels for Automatic Identification of Empty Shelves in Supermarkets," Pattern Recognition, 2022. [Pre-print] [BibTeX]
[6] B. Santra, A. K. Shaw, and D. P. Mukherjee, "Part-based Annotation-free Fine-grained Classification of Images of Retail Products," Pattern Recognition, 2022. [Pre-print] [BibTeX]
[5] B. Santra, A. K. Shaw, and D. P. Mukherjee, "An End-to-End Annotation-free Machine Vision System for Detection of Products on the Rack," Machine Vision and Applications, 32:56, 2021. [Pre-print] [BibTeX]
[4] B. Santra, A. K. Shaw, and D. P. Mukherjee, "Graph-based Non-maximal Suppression for Detecting Products on the Rack," Pattern Recognition Letters, 140:73-80, 2020. [Pre-print] [BibTeX]
[3] B. Santra, A. Paul, and D. P. Mukherjee, "Deterministic Dropout for Deep Neural Networks Using Composite Random Forest," Pattern Recognition Letters, 131:205-212, 2020. [Pre-print] [BibTeX]
[2] B. Santra, and D. P. Mukherjee, "A Comprehensive Survey on Computer Vision based Approaches for Automatic Identification of Products in Retail Store," Image and Vision Computing, 86:45-63, 2019. [Pre-print] [BibTeX]
[1] S. Agarwal, B. Santra, and D. P. Mukherjee, “Anubhav: Recognizing Emotional Facial Expressions in Real-time,” The Visual Computer, 34(2):177-191, 2018. [Project Page] [BibTeX]

Conferences

[7] D. C. Oluigbo, B. Santra, T. S. Mathai, P. Mukherjee, J. Liu, A. Jha, M. Patel, K. Pacak, and R. M. Summers. "Weakly supervised detection of pheochromocytomas and paragangliomas in CT", Medical Imaging 2024: Computer-Aided Diagnosis. SPIE, 2024. [Accepted].
[6] L. Liu, J. Liu, P. Mukherjee, A. Anand, Y. Zhu, B. Santra, and R. M. Summers. "Utilizing Domain Knowledge to Improve Intravenous Contrast Phase Classification Of CT Scans", Medical Imaging 2024: Computer-Aided Diagnosis. SPIE, 2024. [Accepted].
[5] B. Santra, A. Jha, P. Mukherjee, M. Patel, K. Pacak, and R. M. Summers. "Anatomical Location-Guided Deep Learning-Based Genetic Cluster Identification of Pheochromocytomas and Paragangliomas From CT Images", The Second Workshop on Applications of Medical AI (AMAI-MICCAI 2023), 2023.
[4] A. Panda, B. Santra and D. P. Mukherjee, “Bi-modal Compositional Network for Feature Disentanglement,” In Image Processing (ICIP 2022), 2022 IEEE International Conference on, pages 3051-3055. IEEE, 2022.
[3] B. Santra, D. P. Mukherjee and D. Chakrabarti, “A Non-Invasive Approach for Estimation of Hemoglobin Analyzing Blood Flow in Palm,” In Biomedical Imaging (ISBI 2017), 2017 IEEE 14th International Symposium on, pages 1100-1103. IEEE, 2017. [BibTeX]
[2] B. Santra and D. P. Mukherjee, “Local Dominant Binary Patterns for Recognition of Multi-view Facial Expressions,” In Proceedings of the Tenth Indian Conference on Computer Vision, Graphics and Image Processing, page 25. ACM, 2016. [BibTeX]
[1] B. Santra and D. P. Mukherjee, “Local Saliency-inspired Binary Patterns for Automatic Recognition of Multi-view Facial Expression,” In Image Processing (ICIP), 2016 IEEE International Conference on, pages 624-628. IEEE, 2016. [BibTeX]

Patents

Granted

[2] AU2021245099B2: “Fine-grained Classification of Retail Products,” Granted in Australia and pending in India, USA, and Europe.
[1] AU2020205301B2, US20210042588A1: “Method and System for Region Proposal based Object Recognition for Estimating Planogram Compliance,” Granted in Australia and USA; Pending in India and Europe.

Teaching

Indian Institute of Technology Jodhpur

[Feb 2024 - May 2024] Python Programming for Data Engineering (PGDDE)
[Mar 2024 - May 2024] Machine Learning - Fractal 3 [MTech DCS (E)]
[Jan 2024 - May 2024] DL-Ops (BTech/MTech/PhD CSE/EE/AI)

Indian Statistical Institute

[Jul 2021 - Dec 2021] Programming: Python (PGDSMA)
[Jul 2020 - Dec 2020] Introduction to Packages: Python (PGDSMA)
[Jul 2018 - Dec 2018] Computing for Data Sciences (PGDBA)

Talks and Tutorials

2023

[Apr - May 2022] CSI Kolkata
[Mar 2022] ECSU, ISI Kolkata

2017 - 2022

[Aug 2022] CSI Kolkata
[Jan - Mar 2022] ECSU, ISI Kolkata
[Jan 2022] KIIT Bhubaneswar
[Jul 2020] BKC College, Kolkata [Resources: Slides]
[Mar 2020] IIIT Guwahati [Resources: NB-1, NB-2, NB-3, NB-4, NB-5, NB-6, NB-7, NB-8]
[Feb 2020] UEM Kolkata
[Feb 2020] Tripura University, Agartala
[Jun 2019] ECSU, ISI Kolkata [Resources: Slides]
[Jul 2018] SQCORU, ISI Kolkata [Resources: NB-1, NB-2, NB-3, NB-4, NB-5, NB-6, NB-7]
[Jun 2018] Tripura University, Agartala
[Jun 2018] ECSU, ISI Kolkata [Resources: NB-1, NB-2, NB-3, NB-4, NB-5, NB-6, NB-7]
[Mar 2018] University of Calcutta [Resources: NB-1, NB-2, NB-3, NB-4]
[Jun 2017] ECSU, ISI Kolkata [Resources: Slides]

Supervisions

Masters Students

6. Argha Bagchi, MTech-PhD DCS, IIT Jodhpur (Jan 2024 - Present)
5. Mitesh Kumar, MTech DCS, IIT Jodhpur (Jan 2024 - Present)
4. Subhajit Saha, MTech AI(E), IIT Jodhpur (Jan 2024 - Present)
3. Ghanshyam Govind Variya, MTech AR/VR(E), IIT Jodhpur (Jan 2024 - Present)
2. Priyanka Srivastava, MTech AI(E), IIT Jodhpur (Jan 2024 - Present)
1. Amit Kumar, MTech AI(E), IIT Jodhpur (Jan 2024 - Present)

Interns

1. Pichapati Vijaykumar Reddy, MTech AI, passed out from IIT Jodhpur (Feb 2024 - Present)

Short-term Research Projects

Project #1 May 31 - July 13, 2018

Project Title: Detection of Retail Products in Supermarkets
Team Members: Ayush Pradhan, Hara P. Sahu and Roshni Garnayak, NIT Rourkela, India
Purpose: SSCVGIP 2018, ECSU, ISI Kolkata
Note: The project got selected for special mention award in this summer school.

Awards

3) Won The Fellows Award for Research Excellence, 2024 (FARE 2024) from NIH, USA

2) Won 2nd prize of Young IT Professional Award - 2013 from CSI India

1) Won 1st prize of Young IT Professional Award - 2013 from CSI Kolkata Chapter, India


Acheivements

5) Selected for an oral presentation in RSNA 2023

4) NIH Intramural Postdoc Fellowship (2022) from the National Institutes of Health, USA, 2021

3) Research Associateship from Indian Statistical Institute, India, 2021 [declined]

2) Finalist of Qualcomm Innovation Fellowship 2020, India

1) PhD Fellowship from the Indian Statistical Institute, India, 2016


News Coverage

1) English daily 'The Telegraph' covered our research on facial expression analysis on Mar 23, 2018

Developments

Desktop Software & Android Application

[2] Anubhav: a windows application software to detect facial emotional expression, ISI Kolkata, 2014; the demonstration of Anubhav can be seen here. [Project Page]
[1] Anubhav: an android application to detect facial emotional expression, ISI Kolkata, 2014; click here to get the android app; click here for instructions to run the Anubhav.

Professional Activities

Organizing Activities

[2] Advisory Member: Winter School on Deep Learning, 2023 (WSDL 2023)
[1] Organizing Chair: Winter School on Deep Learning, 2022 (WSDL 2022)

Journal Activities

[6] Reviewer: Neurocomputing, Elsevier (Since Jul 2021)
[5] Reviewer: SN Computer Science, Springer (Since Sep 2020)
[4] Reviewer: Access, IEEE (Since Dec 2019)
[3] Reviewer: Image Processing, IET (Since Aug 2017)
[2] Reviewer: Transactions on Image Processing, IEEE (Since Mar 2017)
[1] Reviewer: Sadhana, Springer (Since Nov 2014)

Conference Activities

[2] Reviewer: ICVGIP, ICAPR, NCVPRIPG
[1] Session Chair: 2nd Workshop on Computer Vision Applications (WCVA 2016)

Miscellaneous

Useful Tutorials

[7] Python Libraries for Deep Learning: a) [Tensorflow] CS20 b) [PyTorch] GitHub1 c) GitHub2
[6] Deep Learning in Computer Vision: a) Toronto CSC2523 b) Stanford CS231n
[5] Deep Learning: a) Y. Bengio b) MIT 6.S191 c) Stanford UFLDL d) Stanford CS224n e) DL
[4] Artificial Intelligence: a) Stanford CS221
[3] Machine Learning: a) Berkeley CS 189/289A b) Toronto CSC411 c) A. Ng d) Stanford CS229
[2] Probability for Computer Scientists: a) Stanford CS109
[1] Indexing of Course Videos: a) Computer Science

Important Links

[5] Computer Vision Research Groups
[4] Deep Learning Research Groups
[3] Computer Vision Datasets
[2] Computer Vision Conference Calendar
[1] CORE Coference Ranking

Memorable Moments

[5] M Tech Convocation, IIEST Shibpur, 2017
[4] Microsoft Research Summit, IISC Bangalore, 2017
[3] Campus Life, ISI Kolkata, 2014-2021
[2] ICVGIP, IIT Guwahati, 2016
[1] YITP Award, Ahmedabad, 2013

Get in touch

Contact Details

Room No. 207
School of Artificial Intelligence and Data Science
Indian Institute of Technology
Jodhpur, Rajasthan 342030
Office : +91 291 280 1763
Email : bikash@iitj.ac.in