Scholar
Anirban Chakraborty
Google Scholar ID: NtAsZK-2HjcC
Indian Institute of Science, Bangalore
Citations & Impact
Citations
2,044
H-index
18
i10-index
26
Publications
20
Co-authors
0
Contact
Publications
Resume (English only)
Academic Achievements
- Published multiple journal papers such as 'DAD++: Improved Data-free Test Time Adversarial Defense', 'Adaptive Self-Distillation for Minimizing Client Drift in Heterogeneous Federated Learning', etc., covering fields like Neurocomputing, Transactions on Machine Learning Research (TMLR), IEEE Transactions on Cloud Computing (TCC).
Research Experience
- Currently an Associate Professor in the Department of Computational and Data Sciences (CDS) at Indian Institute of Science, Bangalore, and the convenor of the Visual Computing Lab (VCL); worked as a researcher at Robert Bosch Research and Technology Centre, India, from December 2016 to June 2017; previously a research fellow at the Rapid-Rich Object Search (ROSE) Lab at Nanyang Technological University, Singapore, working on large scale, deployable video surveillance systems; post-doctoral fellow at the A*STAR-NUS Clinical Imaging Research Centre at National University of Singapore, October 2014 to November 2015.
Education
- Ph.D. in Electrical Engineering from the University of California, Riverside, under the supervision of Prof. Amit K. Roy-Chowdhury, August 2014; M.S. in Electrical Engineering from the same institute, 2010; Bachelors in Electrical Engineering from Jadavpur University, Kolkata, India.
Background
- Research interests: Developing novel computer vision and machine learning algorithms to solve visual analysis problems arising from diverse real-world applications. Major research areas include data-efficient & privacy-preserving deep learning, cross-modal computer vision, perceiving humans and their actions.
Co-authors