Group Members

We are looking for new PhD students, Master students, Project Assistants and Interns to join the team (see openings) !

Jump to Convenor, PhD/Masters student, Research Project Assistants, Alumni


Anirban Chakraborty

Assistant Professor
CDS Dept, IISc Bangalore

E-Mail: anirban[at]

Current Members

PhD/Masters student

Gaurav Nayak

Ph. D. student (2017-Present)
Research Area: Data-efficient deep learning

Aditay Tripathi

Ph. D. student (2018-Present)
Research Area: Cross-modal learning in computer vision applications

M. Yashwanth

Ph. D. student (2021-Present)
Research Area: Federated machine learning for computer vision

Vikash Kumar

M. Tech. (2019-Present)
Research Area: Unsupervised domain adaptation

Chaitra Sheshgiri Jambigi

M. Tech. (2019-Present)
Research Area: Person re-ID across modalities and domains

Shaurya Tiwari

M. Tech. (2020-Present)
Research Area: Data-free knowledge distillation

Supriya Mandal

M. Tech. (2021-Active)
Research Area: Video anomaly detection

P. Sai Shankar Patro

M. Tech. (2021-Present)
Research Area: Few-shot learning, Semantic segmentation

Research Project Assistants

Rohit Lal

Project Assistant (2021-Present)
Past: VNIT Nagpur

Ruchit Rawal

Project Assistant (2021-Present)
Past: NSIT, Delhi


Himanshu Patil

Intern (2021-Present)

Umar Masud

Intern (2022-Present)

Inder Khatri

Intern (2021-Present)


PhD/Masters student

  • Siddharth Seth, M. Tech. (research) (2018-21), Current: Verisk
    Thesis: Learning to Perceive Humans From Appearance and Pose
  • Shreya Roy, M. Tech. (research) (2017-21), Current: Publicis Sapient
    Thesis: Deep Learning in Computer Vision: Studies in Neuro-image Segmentation and Satellite Image Super-resolution
  • Surbhi Aggarwal, M. Tech. (research) (2017-20), Current:
    Thesis: Learning Across Domains: Applications to Text-Based Person Search and Multi-Source Domain Adaptation
  • Aditya Kumar Pal, M. Tech. (CDS) (2018-21), Current: Walmart Labs
    Dissertation: Anomaly Detection and Localization Using Image Inpainting
  • Sunny Anand, M. Tech. (CDS) (2019-21), Current: Uniphore
    Dissertation: Efficient Utilization of Communication Channel in Federated Learning
  • Sourav Mishra, M. Tech. (CDS) (2018-20), Current: Toppr
    Dissertation: Feature Augmentation for Anomaly Detection
  • Shivansh Srivastava, M. Tech. (CDS) (2017-19), Current: JPMorgan Chase & Co.
    Dissertation: Early and Hybrid Fusion for Cultural Event Recognition in Images
  • Utkarsh Shreemali, M. Tech. (CDS) (2017-19), Current: Qualcomm
    Dissertation: Robust Gait based Human Identification on Incomplete and Multi-view Sequences
  • Bibrat Ranjan Pradhan, M. Tech. (CDS) (2017-19), Current: Mercedes-Benz R&D
    Dissertation: Activity Recognition in Neuromorphic Videos

Project Assistants

  • Monish Keswani, Project Assistant (2020-21), Current: Visual Recognition Group, Czech Technical University
  • Sarthak Srivastava, Project Assistant (2020-21), Current: Amazon
  • Saksham Jain, Project Assistant (2020-21), Current: Duke University (M.S., ECE)
  • Sharan Seshadri, Project Assistant (2019), Current: SDE, Juniper Networks
  • Rajath R. Dani, Project Assistant (2019-21), Current: New York University
  • Shashank Shekhar, Project Assistant (2018-19), Current: Facebook AI
  • Akash Sonth, Project Assistant (2020-21), Current: Virginia Tech


  • Aditi Shanmugam, Intern (2021), Current: Inferigence Quotient
  • Amandeep Kumar, Intern (2021), Current: NA
  • Het Shah, Intern (2021), Current: Research Intern, Microsoft Research India
  • Vignesh Nagarajan, Intern (2021), Current: IIITDM Kancheepuram
  • Anirudh Kannan, Intern (2020-21), Current: NA