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Principal Investigator - Professor Ankur Mali

Prof. Ankur Mali

Professor Ankur Mali completed his Ph.D. under Professor Clyde Lee Giles from The Pennsylvania State University in 2022. He works at the intersection of language, memory, and computation—spanning natural language processing, 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).

PhD Students

Hitesh Vaidya
Hitesh
Continual Learning, Bio-mimetic Machine Learning
loves running, yoga and travelling
Theophilus Amaefuna
Theophilus
Research Assistant, CSE
Predictive coding, Natural Language Processing
Shion Matsumoto
Shion
Research Assistant, CSE
Bioinspired learning, physics-informed neural networks
Benjamin Prada
Benjamin
Research Assistant, CSE
Neural program synthesis, expressability & learnability

Master's Students

Sree Rushitha Santhoshi Mamidala
Rushitha
Research Assistant, CSE
Natural Language Processing
Tahsun Rahman Khan
Tahsun
Research Assistant, CSE
Deep Learning

Undergraduate Students

Yusra
Yusra
Research Assistant, CSE
Addressing challenges in neural network learnability and stability by exploring alternative algorithms to backpropagation
Zhanna
Zhanna
Research Assistant, CSE
Evaluating learnability and stability in deep learning models by investigating alternative approaches to backpropagation and analyzing the effects of input perturbations
Incoming SWE intern at DELL Technologies
Mustafa Mannan
Mustafa
Research Assistant, CSE
Tackling challenges in neural network learnability and stability
Shrabon Kumar Das
Shrabon
Research Assistant, CSE
Investigating learnability and expressivity of neural architectures
Abdul-Malik Zekri
Malik
Research Assistant, CSE
Studying how neural architectures shape learning and function in bio-inspired systems

Alumni

PhD students

Graduate students