Projects
Interpretable Prototype Bottleneck Model
Obstacle Avoidance for the Visually Impaired
Synchronisation in Neural Mass Models
Bias and Fairness in Multimodal Emotion Recognition
Visual Perception of the Colour Spectrum
GCNs on Bitcoin Transaction Graphs
Human-in-the-loop RL for Behaviour Change
Automated Product Placement
Posters and Publications
- Mina Khan, P Srivatsa, ,Advait Rane, Shriram Chenniappa, Rishabh Anand, Sherjil Ozair, Pattie Maes (2021) Pretrained Encoders are All You Need. arXiv:2106.05139 . (Arxiv Preprint - accepted at the Unsupervised Reinforcement Learning workshop at ICML 2021)
- Mina Khan, P Srivatsa, Advait Rane, Shriram Chenniappa, Asadali Hazariwala, Pattie Maes (2021) Personalizing Pre-trained Models. arXiv:2106.01499 . (Arxiv Preprint)
- P. Mahajan, A. Rane, S. Sasi and B. S. Bhattacharya, “Quantifying Synchronization in a Biologically Inspired Neural Network,” 2021 International Joint Conference on Neural Networks (IJCNN), 2021, pp. 1-6, doi: 10.1109/IJCNN52387.2021.9533414.
- Mahajan P, Rane AP, Sasi S, Bhattacharya BS (2020) Phase Synchronisation in a thalamocortical neural mass model. Bernstein Conference 2020. doi: 10.12751/nncn.bc2020.0191.(Poster presentation)
Scholarships and Awards
- Admitted to the MS CS Honors program at USC Viterbi
- Ranked 2nd in batch, BITS Goa 2017-2021 (CGPA-9.75)
- 4 consecutive BITS Goa Merit Scholarships, Semesters 2 to 5 – top 1 percent BITS Pilani, Goa
- BITS Goa Merit Scholarship Semester 1 – top 2 percent BITS Goa