Teaching Experience

I believe in sharing knowledge and empowering the next generation of researchers and practitioners. Here's a summary of my teaching activities:

Teaching Assistant

  • Data Science Course - PGDBA (Post Graduate Diploma in Business Administration), Indian Statistical Institute, Fall 2021
  • Machine Learning-II Course - M.Tech. in Computer Science, Indian Statistical Institute, Fall 2023

Workshops & Lectures

  • Instructor for AIVOT's Startup Developers - Conducted a comprehensive two-week workshop covering basics of machine learning to advanced deep learning (August 2023)
  • Regular Speaker - "Summer School on Computer Vision, Graphics and Image Processing", Electronics and Communication Sciences Unit, Indian Statistical Institute (7th, 8th, and 9th editions: 2022-2024)
  • Lecture Series - "Winter School on Deep Learning: From Perceptrons to Transformers" (WSDL), Electronics and Communication Sciences Unit, Indian Statistical Institute (2022-2024)

Student Supervision

I have had the privilege of supervising and mentoring numerous talented students throughout their academic journeys:

Research Interns Supervision

Supervised 8+ undergraduate and graduate research interns from various notable academic institutes since 2022, including:

  • Indian Statistical Institute (ISI), Kolkata
  • National Institute of Technology (NIT), Rourkela
  • National Institute of Technology (NIT), Tiruchirappalli
  • Jadavpur University (JU)

Guided students through various projects, including:

  • GraphMol: Decoding Molecule Patterns with Graph Neural Network (Led a team of Master and B.Tech students)
  • StANO: Style Based Anomaly Detection in Medical Images (Team project with B.Tech student from NIT)
  • Mixup Augmentation: Investigating the Effectiveness of Mixup Augmentation Techniques in Supervised and Semi-supervised Learning (Team project with B.Tech students from Jadavpur University)

Supervised M.Tech Computer Science Students from ISI Kolkata

  • Anirban Dey (June, 2023)
    Dissertation: "Addressing Class Imbalance in Image Classification using Deep Feature Mixing"
    Electronics and Communication Sciences Unit, Indian Statistical Institute, Kolkata
  • V S Siva Kumar Lakkoju (June, 2023)
    Dissertation: "TFNet: Time and Frequency Modeling for Irregular Multivariate Medical Time Series"
    Electronics and Communication Sciences Unit, Indian Statistical Institute, Kolkata
  • Sasanka Jana (June, 2024)
    Dissertation: "Enhancing Confidence Calibration in Long-Tailed Recognition"
    Electronics and Communication Sciences Unit (ECSU), Indian Statistical Institute, Kolkata
  • Sarbajit Dey (June, 2024)
    Dissertation: "Learning with Long-Tailed Noisy Labels"
    Electronics and Communication Sciences Unit, Indian Statistical Institute, Kolkata

Reviewer Duties

Contributing to scientific progress by providing peer reviews for prestigious journals and conferences:

Journal Reviews

  • IEEE Transactions on Cybernetics (2023-present)
  • IEEE Transactions on Emerging Topics in Computational Intelligence (TETCI) (2023-present)
  • IEEE Transactions on Neural Network and Learning Systems (TNNLS) (2023-present)
  • Pattern Recognition (2024-present)
  • Applied Soft Computing (2022-present)
  • Engineering Applications of Artificial Intelligence (EAAI) (2024-present)
  • Springer Nature Computer Science (March 2024-present)

Conference Reviews

  • 5th International Conference on Frontiers in Computing and Systems COMSYS-2024
  • IEEE International Joint Conference on Neural Networks (IJCNN) 2024 & 2025
  • IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2025

Organizational Roles

Taking on leadership roles to organize academic events and enhance community engagement:

Organizing Chair

3rd Winter School on Deep Learning 2024 (WSDL-2024), organized by ECSU, ISI Kolkata

Organizing and Web Chair

2nd Winter School on Deep Learning 2023 (WSDL-2023), organized by ECSU, ISI Kolkata

Committee Member and Web Chair

1st Winter School on Deep Learning 2022 (WSDL-2022), organized by ECSU, ISI Kolkata

Idea and Design Head

Entrepreneurship Development Cell (EDC) ZHCET, AMU (2015-2017)