People

Ankur Mali

Ankur Mali

Assistant Professor

ENB247A  | 813-396-2826

Email | CV | Home page | Google Scholar | LinkedIn | GitHub

Biography

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).

Research Interests

Neuro-symbolic AI, Natural Language Processing and Generation, Physics inspired NNs, Bio-
inspired Neural Architectures, Reinforcement learning and lifelong learning

Teaching Interests

Neuro-symbolic Machines, Deep Learning, Natural language processing, Bio-inspired
computing, Automata and Formal languages.

Education

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

Key Activities

  • 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
    Letters