ENB247A | 813-396-2826
Dr. Ankur Mali completed his Ph.D. under Prof. Clyde Lee Giles from The Pennsylvania State University in 2022. He works at the intersection of language, memory, and computation—spanning Natural Language Processing (NLP), linguistics, and formal language theory. Furthermore, he has also designed approaches to investigate the mysterious success of deep learning in recognizing natural language from a theoretical and empirical perspective. He also works on designing learning algorithms and computational neural architectures guided by theories of the brain. These architectures focus on solving challenges such as continual/lifelong learning, learning with minimal supervision, Reinforcement Learning, and robustness (both in computer vision and natural language processing).
Neuro-symbolic AI, Natural Language Processing and Generation, Physics inspired NNs,
inspired Neural Architectures, Reinforcement learning and lifelong learning
Neuro-symbolic Machines, Deep Learning, Natural language processing, Bio-inspired
computing, Automata and Formal languages.
Ph.D. In Informatics (focused on Deep learning), Pennsylvania State University (2022)
Bachelors in Computer Engineering, University of Pune (2013)
Honors and Awards
- IVADO postdoctoral Fellowship from University of Montreal, Canada, 2022
- Postdoctoral fellowship from Harvard Medical and Dana-Farber Cancer Institute, 2022
- Senior-Program Committee Member and Reviewer: NeurIPS, ICML, ICLR, IEEE TNNLS,
AAAI, CVPR, ECCV, ICCV, BMCV, ACL, EMNLP, NAACL, ARR, AI4Social Good
- Reviewer: IEEE TNNLS, IEEE Access, Frontier Neuroscience, MLJ, IEEE Signal processing