Signal processing, machine learning, deep learning and neuroscience

Human speech communication, signal and information processing, machine learning, text analytics

Cognition, Computation and Behaviour

Neuromorphic computing, mixed signal VLSI systems, computational neuroscience,

Interface of computer science and microeconomics & algorithmic aspects of fair division.

Systems theory, probabilistic graphical models, stochastic processes, geometric tessellation

Approximation Algorithms, Spectral Algorithms, Hardness of Approximation

Signal Processing Theory and Applications, Graph Signal Processing, Network Sciences

Computer architecture, Hardware-Software co-design, Operating Systems

Computational biology, genomics, graph algorithms, discrete algorithms, data structures, high performance computing

Nano-Fabrication,Nano-Structured Materials,Optoelectronics & Spectroscopy

Approximation Algorithms, Online Algorithms, Computational Geometry, Online Learning, and Combinatorial Optimization and Algorithms for Big Data, and Machine Learning Theory.

Robotic systems, be it control or learning or optimization.

Brain-inspired computing, Edge computing, Molecular electronics, Nano electronics, Chaos

Cryptographic Hardware & Security Protocols,Efficient Digital System Architectures,Quantum Computation,Machine Learning

Stochastic Approximation, Random Topology and their applications to Reinforcement Learning and Topological Data Analysis

Natural Language Processing (NLP), Deep Learning, Interpretability and Analysis of Models, Inclusive Evaluation, Societal and Ethical Considerations of AI

Mixed-signal IC design, FPGA design, Hardware Security, Machine Learning, Biomedical circuits and systems

Medical Image Analysis, Neuroimaging, Machine Learning, Deep Learning, Domain adaptation, Computer Vision

Nano-Biotechnology, Biosensors, Interfaces To Neuronal Networks, Neuro-Electronics,Neuronal Networks