Computer Vision

Perception

  • Deep learning

  • Convolutional neural networks (CNN)

  • Generative adversarial networks (GAN)

  • Image and video processing

  • Temporal modelling for video activities

  • Image & video segmentation.

  • Segmenting instance, semantics & multimodal info.

  • Object detection and recognition.

  • Gesture & gait recognition.

  • Scene classification.

  • Microscopic image acquisition and processing.

  • Biomedical image processing.

  • Image restorations .

  • Super-resolution.

  • GAN based image transformations.

  • Object tracking

  • Video activity analysis & prediction.

  • Video surveillance, traffic analysis.

  • Stereo vision and depth estimation.

  • 3D point cloud and multimodal image data analysis.

Machine Learning

Intelligence

  • Pattern recognition

  • Mathematical optimization methods

  • Applications of ML

    • Financial data analysis

    • Medical domain & Bioinformatics

  • Design and modification of CNN architectures for speed and memory efficiency.

  • Optimization for end-to-end learning and one-shot learning.

  • Temporal data analysers, LSTM, GRU and Bayesian learning methods.

  • Convergence analysis of optimization based learning algorithms.

  • Data science, predictive & exploratory analysis.

  • ML with imbalanced data.

  • Portfolio optimization & quantitative analysis.

  • Algorithmic trading.

  • Bioinformatics, quantitative biology and genomics.

  • Data-driven healthcare.

Robotics

Learning and Sensing

  • Reinforcement learning

  • Autonomous driving

  • R&D for new sensors

  • Human robot interaction

  • Sensor development and integration of multi-sensory data for robotics & autonomous driving.

  • Low cost sensor development for healthcare, biosensors and sensory data enhancement.

  • Higher order sensing via fusion of multi-array and multi-modal sensors.

  • Human robot interaction, imitation learning.

  • Reinforcement learning.

  • Control, navigation & soft landing of drones.

  • Remote sensing.

  • Path planning in autonomous driving.

  • Simultaneous localization.

Signal Processing & Communications

Multimodal Multichannel Systems

  • ML for communication systems

  • Optical, satellite, RADAR, mm-waves

  • Medical image processing, audio, EEG

  • Biosignals & cognitive systems

  • Load-balancing and optimal resource allocation in multi-channel communication systems.

  • Machine learning for communications (optimal configuration and parameter estimation).

  • Millimeter wave, radar, wifi and optical communication based pattern recognition.

  • Satellite imaging and remote sensing in static as well as dynamic environments.

  • Multimodal signal processing in all modalities: audio, multispectral, EEG, ECG, EMG.

  • Biosignals & cognitive systems: cognitive biomarkers in biosignals.

  • Our research lab is flexible and accommodative to work on any new topics in Signal Processing & Communications.