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Dr. Pratik Chattopadhyay

Associate Professor
Department of Computer Science and Engineering
Phone No(s): 0542-716-5325
Email: pratik.cse@iitbhu.ac.in
Area of Interest: Image and Video Processing, Computer Vision, Pattern Recognition, Machine/Deep Learning, Generative Modelling
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I am currently working as an Associate Professor in the Department of Computer Science & Engineering at the Indian Institute of Technology (Banaras Hindu University), Varanasi, since April 2025. Prior to this, I served as an Assistant Professor at the same institute from July 2017.

Before joining IIT (BHU), I pursued post-doctoral research at two institutions: one year at the School of Electrical & Electronic Engineering, Nanyang Technological University, Singapore, and six months at the Electronics and Communication Sciences Unit, Indian Statistical Institute, Kolkata, India.

I earned my Ph.D. in 2015 from the Indian Institute of Technology, Kharagpur, with a focus on Image and Video Processing. I hold a Master's degree (MCSE) in Computer Science & Engineering from Jadavpur University, Kolkata (2011), and a B.Tech. degree in the same field from the West Bengal University of Technology (2009).

My current research interests include the application of Machine Learning and Deep Learning in areas such as Computer Vision, Image Processing, Cybersecurity, and Agriculture, among others.

I also serve as an Associate Editor for the IEEE Transactions on Systems, Man, and Cybernetics: Systems.

Outside of my academic pursuits, I enjoy painting, handicrafts, and playing musical instruments.

Odd Semester (2025-26)
Computer Programming (CSO 101)

Even Semester (2024-25)
Data Structures (CSO 102)

Odd Semester (2024-25)
Intelligent Systems(CSE 342)
Intelligent Systems (CSE 523)

Even Semester (2023-24)
Artificial Intelligence (CSE 241)
Selected Topics in Artificial Intelligence (CSE 503) (Course shared with Dr. Bidyut Patra)
Data Structures (CSO 102)

Odd Semester (2023-24)
Intelligent Systems(CSE 342)
Intelligent Systems (CSE 523)

Even Semester (2022-23)
Artificial Intelligence (CSE 241)
Selected Topics in Artificial Intelligence (CSE 503) (Course shared with Dr. Kailasam Lakshmanan)
Data Structures (CSO 102)

Odd Semester (2022-23)
Intelligent Computing (CSE 342)
Intelligent Systems (CSE 523)

Even Semester (2021-22)
Artificial Intelligence (CSE 241)
Selected Topics in Artificial Intelligence (CSE 503) (Course shared with Dr. Kailasam Lakshmanan)
Selected Topics in Machine Learning (CSE 540) (Course shared with Dr. Amrita Chaturvedi and Dr. Kailasam Lakshmanan)

Odd Semester (2021-22)
Intelligent Computing (CSE 342)

Even Semester (2020-2021)
Image Processing & Computer Vision (CS 7006)
Pattern Recognition (CS 7010)
Advanced Computational Mathematics (CS 7008)
Data Structures (CSO 102)

Odd Semester (2020-21)
Computer Graphics (CSO 351)
 
Even Semester (2019-2020)
Computer Programming (CSO 101)
Machine Learning (CSE 464)
 
Odd Semester (2019-20)
Computer Programming (CSO 101)
Intelligent Computing (CSE 342)
 
Even Semester (2018-2019)
Computer Programming (CSO 101)
Machine Learning (CSE 464)
Biometrics (CS 7005)

Odd Semester (2018-2019)
Computer Programming (CSO 101)

Even Semester (2017-2018)
Computer Programming (CSO 101)
Biometrics (CS 7005)

Odd Semester (2017-2018)
Computer Programming (CSO 101)

​

Journals

  1. Rajat Kumar Arya, Pratik Chattopadhyay, and Rajeev Srivastava, Hyperspectral Image Classification Using Gated Adaptable Convolutional-Based Kolmogorov-Arnold Network, IEEE Geoscience and Remote Sensing Letters (Accepted in 2025).
  2. Manav Jain, Pratik Chattopadhyay, Abhishek Paul, Jinesh Jain, Fusion of Forward and Backward LSTMs for Effective Occlusion Reconstruction in Gait Sequences, SN Computer Science, 6(3), Art. No. 207, 2025.
  3. Yaoli Wang, Yaojun Deng, Yuanjin Zheng, Pratik Chattopadhyay, Lipo Wang, Vision Transformers for Image Classification: A Comparative Survey. Technologies. 13(1):32, 2025.
  4. Rajat Kumar Arya, Siddhant Jain, Pratik Chattopadhyay, Rajeev Srivastava, HSIRMamba: An Effective Feature Learning for Hyperspectral Image Classification Using Residual Mamba, Image and Vision Computing, 154, Art. No. 105387, 2025.
  5. Aadarsh Kumar Singh, Akhil Rao, Pratik Chattopadhyay, Rahul Maurya, and Lokesh Singh, Effective Plant Disease Diagnosis Using Vision Transformer Trained with Leafy-Generative Adversarial Network-Generated Images, Expert Systems with Applications, 254, Art. No. 124387, 2024.
  6. Binit Singh, Divij Singh, Rohan Kaushal, Agrya Halder, and Pratik Chattopadhyay, "GSSTU: Generative Spatial Self-Attention Transformer Unit for Enhanced Video Prediction", IEEE Transactions on Neural Networks and Learning Systems, 36(3), 4625-4638, 2024.
  7. Somnath Sendhil Kumar, Binit Singh, Pratik Chattopadhyay, Agrya Halder, and Lipo Wang, BGaitR-Net: An Effective Neural Model for Occlusion Reconstruction in Gait Sequences by Exploiting the Key Pose Information, Expert Systems with Applications, 246, Art. No. 123181, 2024.
  8. Harshit Agrawal, Agrya Halder, and Pratik Chattopadhyay, A Systematic Survey on Recent Deep Learning-based Approaches to Multi-Object Tracking, Multimedia Tools and Applications, 83(12), 36203-36259, 2024.
  9. Nirbhay Kumar Tagore, Prathistith Raj Medi, and Pratik Chattopadhyay, Deep Pixel Regeneration for Occlusion Reconstruction in Person Re-identification, Multimedia Tools and Applications, 83(2), 4443-4463, 2024.
  10. Sanjay Kumar Gupta and Pratik Chattopadhyay, Pose-Based Boundary Energy Image for Gait Recognition from Silhouette Contours, Sadhana, 48(4), Art. No. 194, 2023.
  11. Preetam Pal, Pratik Chattopadhyay, and Mayank Swarnkar, Temporal Feature Aggregation with Attention for Insider Threat Detection from Activity Logs, Expert Systems with Applications, 224, Art. No. 119925, 2023.
  12. Utkarsh Mishra, Akshat Agrawal, Josephine Crystal R Mathew, Rajesh Kumar Pandey, and Pratik Chattopadhyay, An Efficient Approach for Image De-fencing based on Conditional Generative Adversarial Network, Signal, Image and Video Processing 17 (1), 147-155, 2023.
  13. Agrya Halder, Pratik Chattopadhyay, and Sathish Kumar, Gait Transformation Network for Gait De-Identification with Pose Preservation, Signal, Image and Video Processing, 17(5), 1753-1761, 2023.
  14. Rajarajeswari Perepi, Pratik Chattopadhyay, and Anwar Bég O, A Deep Learning Computational Approach for the Classification of COVID-19 Virus, Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, 11(3), 786-795, 2023.
  15. Ankit Sinha, Soham Banerjee, Pratik Chattopadhyay, Effective Stacking of Deep Neural Models for Automated Object Recognition in Retail Stores, International Journal of Computer and Information Engineering, 17(6), 374-381, 2023.
  16. Nirbhay Kumar Tagore, and Pratik Chattopadhyay. A Bi-Network Architecture for Occlusion Handling in Person Re-Identification, Signal, Image and Video Processing, 16,1071-1079, 2022.
  17. Sanjay Kumar Gupta and Pratik Chattopadhyay, Gait Recognition in the Presence of Covariate Conditions, Elsevier Neurocomputing, 454: 76-87, 2021.
  18. Nirbhay Kumar Tagore, Ayushman Singh, Manche Sumanth, Pratik Chattopadhyay, Person Re-identification from Appearance Cues and Deep Siamese Features, Journal of Visual Communication and Image Representation, 75, Art. No. 103029, 2021.
  19. Ayush Agarwal, Pratik Chattopadhyay, Lipo Wang, Privacy Preservation through Facial De-identification with Simultaneous Emotion Preservation, Signal, Image and Video Processing, 15, 951-958, 2021.
  20. Sanjay Kumar Gupta and Pratik Chattopadhyay, Exploiting Pose Dynamics for Human Recognition from their Gait Signatures, Multimedia Tools and Applications, 80, 35903-35921, 2021.
  21. Divyanshu Gupta, Shorya Jain, Utkarsh Tripathi, and Lipo Wang, A Robust and Efficient Image De-fencing Approach using Conditional Generative Adversarial Networks, Signal, Image and Video Processing, 15, 297-305, 2021.
  22. Nirbhay Kumar, 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, 2020.
  23. Pratik Chattopadhyay, Lipo Wang, Yap-Peng Tan, Scenario-Based Insider Threat Detection From Cyber Activities, IEEE Transactions on Computational Social Systems, 5(3), 1-16, 2018. 
  24. Aditi Roy, Pratik Chattopadhyay, Shamik Sural, Jayanta Mukherjee and Gerhard Rigoll, Modeling, Synthesis and Characterization of Occlusion in Videos, IET Computer Vision, 9(6): 821-830, 2015.
  25. Pratik Chattopadhyay, Shamik Sural, and Jayanta Mukherjee, Information Fusion from Multiple Cameras for Gait-based Re-identification and Recognition, IET Image Processing, 9(11): 969-976, 2015.
  26. Pratik Chattopadhyay, Shamik Sural, and Jayanta Mukherjee, Frontal Gait Recognition from Occluded Scenes, Elsevier Pattern Recognition Letters, 63(1): 9-15, 2015. 
  27. Pratik Chattopadhyay, Shamik Sural, and Jayanta Mukherjee, Frontal Gait Recognition from Incomplete Sequences using RGB-D Camera, IEEE Transactions on Information Forensics and Security, 9(11): 1843-1856, 2014.
  28. Pratik Chattopadhyay, Aditi Roy, Shamik Sural, and Jayanta Mukhopadhyay, Pose Depth Volume Extraction from RGB-D Streams for Frontal Gait Recognition, Elsevier Journal of Visual Communication and Image Representation, 25(1): 53–63, 2014.

Conferences/Workshops

  1. Ivy Treesa Siby, Anshita Malviya, and Pratik Chattopadhyay, SLED-GAN: A Disease-Centric Conditional GAN for Synthetic Plant Leaf Disease Image Generation and Classification Enhancement, 11th International Conference on Pattern Recognition and Machine Intelligence (Accepted in 2025).
  2. Khush Mendiratta, Shweta Singh, and Pratik Chattopadhyay, SKIPNet: Spatial Attention Skip Connections for Enhanced Brain Tumor Classification, 9th International Conference on Smart Trends for Computing and Communications (Accepted in 2024).

  3. Surja Sanyal, Manas Khatua, and Pratik Chattopadhyay, An Adaptive IDS Scheduling Framework for Host Based Mimicry Attack Detection in IoT Networks, IEEE International Conference on Advanced Networks and Telecommunications Systems (Accepted in 2024).
  4. Binit Singh, Divij Singh, Rohan Kaushal, Sana Vishnu Karthikeya Reddy, Bandam Sai Jaswanth, and Pratik Chattopadhyay, Spatio-Temporal Attentive Fusion Unit for Effective Video Prediction, 27th International conference on Pattern Recognition, Springer, Cham, pp. 62-79, 2025.
  5. Dhruv Gupta, Dhruve Kiyawat, V Venkata Vinay Kumar, Utkarsh Mishra and Pratik Chattopadhyay, DefenceLite: An Effective Lightweight GAN-based Image De-fencing Model, 9th International Congress on Information and Communication Technology, 2024. (Accepted in 2024).
  6. Harshit Agrawal, Agrya Halder, and Pratik Chattopadhyay, MotionFormer: An Improved Transformer-Based Architecture for Multi-Object Tracking, 8th International Conference on Computer Vision & Image Processing (Accepted in 2023).
  7. Dhritimaan Das, Ayush Agarwal, Pratik Chattopadhyay, Gait Recognition from Occluded Sequences in Surveillance Sites, Workshop on Real-World Surveillance in conjunction with European Conference on Computer Vision, Springer Nature Switzerland, 703-719, 2022.
  8. Alakh Aggarwal, Rishika Rathore, Pratik Chattopadhyay, Lipo Wang, EPD-Net: A GAN-based Architecture for Face De-identification from Images, IEEE International Conference on IOT, Electronics and Mechatronics Conference (IEMTRONICS), 1-7, 2020.
  9. Nirbhay Tagore, Pratik Chattopadhyay SMSNet: A Novel Multi-Scale Siamese Model for Person Re-Identification, 17th International Conference on Signal Processing and Multimedia Applications. (Accepted in 2020).
  10. Krishnan, Utsav, Ayush Agarwal, Avinash Senthil, and Pratik Chattopadhyay. Image Enhancement and Denoising in Extreme Low-Light Conditions. (Accepted in 2019).
  11. Shailesh Shrivastava, Alakh Aggarwal, Pratik Chattopadhyay, Broad Neural Network for Change Detection in Aerial Images, 1st International Conference on Emerging Technology in Modelling and Graphics, Springer Singapore, 327-339, 2019.
  12. Sanjay Kumar Gupta, Gaurav Mahesh Sultaniya, Pratik Chattopadhyay, An Efficient Descriptor for Gait Recognition using Spatio-Temporal Cues, International Conference on Emerging Technology in Modelling and Graphics, Springer Singapore, 85-97, 2019.
  13. Utsav Krishnan, Akshal Sharma, Pratik Chattopadhyay, Feature Fusion from Multiple Paintings for Generalized Artistic Style Transfer, International Conference on Advances in Engineering Science Management & Technology, SSRN 3387817, 2019. 
  14. David Lorenzi, Pratik Chattopadhyay, Emre Uzun, Jaideep Vaidya, Shamik Sural, Vijayalakshmi Atluri, Generating Secure Images for CAPTCHAs through Noise Addition, ACM Symposium on Access Control Models and Technologies, 169-172, 2015. (demo paper)
  15. Pratik Chattopadhyay, Shamik Sural and Jayanta Mukherjee, Exploiting Pose Information for Gait Recognition from Depth Streams, 4th IEEE Workshop on Consumer Depth Cameras for Computer Vision in conjunction with European Conference on Computer Vision, Lecture Notes in Computer Science, Springer International Publishing, 341-355, 2014.
  16. Pratik Chattopadhyay, Shamik Sural, and Jayanta Mukherjee, Gait Recognition from Front and Back View Sequences captured using Kinect, 5th International Conference on Pattern Recognition and Machine Intelligence, Lecture Notes in Computer Science, Springer Berlin Heidelberg, 196–203, 2013.

Patent

Pratik Chattopadhyay, Shamik Sural, Jayanta Mukhopadhyay, Surveillance using Partial Gait Sequences, Status: Granted

Book Chapter

Ashish Kumar, Sachin Srivastava, Pratik Chattopadhyay, Machine and Deep‐Learning Techniques for Image Super‐Resolution in Machine Learning Algorithms for Signal and Image Processing, John Wiley & Sons, Inc., 89-113.

    S. No.

    Title of Project

    Funding Agency

    Budget

    Period

    Role

    Status 
    1 Developing a Soil Health Monitoring System Using IoT and AI to Ensure Sustainable Farming COFORGE LIMITED INR 8,40,000/- 2025-2028 PI In Progress

    2

    Developing Improved Algorithms for Intelligent Video Surveillance

    Core Research Grant, Science and Engineering Research Board, Dept. of Science & Technology, India

    INR 28,09,400/- 

    2021-2024

    PI

    Completed

     

     

     

    3

    Development of a Lightweight Android Mobile Software Powered by Deep Learning for Identification of Plant Leaf Disease

    Technology Development Programme, Dept. of Science & Technology, India

    INR 35,94,000/-

     

    2023-2025

    PI

    Completed

     
    4 Development of a Disaster Response System for Collecting and Disseminating Information through Social-Media Text Processing Uttar Pradesh: Council of Science and Technology INR 12,02,000/- 2022-2025 co-PI In Progress
    5 Metal Oxide based RRAM device for Neuromorphic Computing Applications Uttar Pradesh: Council of Science and Technology INR 15,36,000/- 2024-2027 co-PI In Progress

    PATTERN RECOGNITION LABORATORY (Third Floor, Dept. of CSE, IIT(BHU))

    Lab Servers

    Lab Servers

    Current Ph.D. Students

    1. Preetam Pal: Topic: Insider Threat Detection
    2. Anshita Malviya: Topic: Semi-supervised Learning in Medical Image Segmentation
    3. Harsh Raj Singh: Topic Breast Cancer Identification from Thermal Images
    4. Surja Sanyal (Joint PhD Student with Dr. Manas Khatua, IIT Guwahati): Topic: Inside/Outside Threat Detection in Industrial IoT Networks

    Past Ph.D. Students

    1. Sanjay Kumar Gupta: Thesis Defended (Title: Developing Improved Algorithms for Pose-Based Gait Recognition)
    2. Dr. Nirbhay Kumar Tagore: (Title: Person Re-identification for Intelligent Surveillance using Deep Learning) Currently Assistant Professor at Rajiv Gandhi Institute of Petroleum Technology

    ​​Conference Photos

    My Paintings

    My Musical Instruments

    Email: pratik . cse @ iitbhu . ac . in / pratikchattopadhyay @ gmail . com

    Facebook Profile

    Youtube Channel