Past Projects

Mathematical and Computational Biology Stream

Exploring mammary gland biology using multi-dimensional microscopy and mathematical modelling approaches

Neuromorphic Brain-Machine Interface for Improving Attention

Rapid-Eye-Movement Sleep Defects: Mechanism & Target in Neurodegeneration

The genetics of the mitochondrion: uncovering its role in neurodegeneration and aging

Multi-scale mechanistic modeling to improve outcomes in cancer immunotherapy

Physics of cancer: Building multi-scale mathematical models to decode mechanisms of cancer metastasis and therapy resistance

The epigenetics of aging in Indian populations

Microbial adaptation and survival in Martian/lunar soils: simulations and experimental approaches

Molecular Basis of Tau Protein Misfolding in Alzheimer’s Patients

Dynamics of self-organized ecological systems

Identifying biomarkers of diabetes-associated breast cancer initiation and progression

Computational modeling to probe into Regenerative Bioelectronics for Neurodegenerative diseases

Computational modeling of metabolic heterogeneity associated with drug resistance in tuberculosis

Physics of cancer: Building multi-scale mathematical models to decode mechanisms of cancer metastasis and therapy resistance

Deep diffusion models for decoding visual stimuli from brain scans

Multi-scale mechanistic modeling to improve outcomes in cancer immunotherapy

Identification and characterization of structural and copy number genetic variations in the human X and Y chromosomes and their polygenic effect on neurodegeneration

Systems biology of metabolic reprogramming during cancer metastasis

Multi-scale mechanistic modeling to improve outcomes in cancer immunotherapy

Deep diffusion models for decoding visual stimuli from brain scans

Deep learning-based prediction of “brain age” and cognitive decline

Dynamics of self-organised ecological systems

Allelic co-ordination of transcriptional bursting and heterogeneity in cancer

Algorithmic techniques for DNA sequence analysis

Deciphering nanoscale 3D genome-organization in single cells using super-resolution imaging

Elucidating the genetic architecture of human complex traits beyond single variant genome wide association studies

Data driven integrative modeling of dynamic GRNs controlling organ size in plants

Dynamics of self-organised ecological systems

Mathematical models of Cellular Metabolism and Hormonal control on human gut function in health and disease

Brain connectivity in health and disease

Artificial Pancreas for Closed Loop Blood Glucose Control

Multi-scale models of acute inflammation

Physics of cancer: Building multi-scale mathematical models to decode mechanisms of cancer cell invasion

Dynamical Systems Approach to decode cellular plasticity during cancer metastasis

Identifying population-level genetic variations in the Indian population

Identifying the causal genetic associations between metabolic disorders and neurodegenerative disorders in Indian population

Development of analytical models of learning in animals and testing them using rodents and humans.

Systems Biology: Discovering biomarkers for human health and disease

Mathematical and Computational Engineering Stream

Origin of hydrodynamical instability in rotating shear flows

A scalable solver for planetary dynamo simulations

Development of Efficient Deep Learning Models for Medical Image Deepfake Detection

Deep learning based methods for real-time frequency domain photoacoustic theranostics

Medical Image segmentation for detecting structural anomalies under data-constrained settings

A Foundational Model for Brain Imaging

Novel computational methods for quantum modeli

Computational biophysical modeling to probe into Bioelectronic medicine

Development of efficient deep learning models for medical image processing

Explainable Domain Adaptation in medical Imaging for biomarker extraction using Deep learning

Deep learning based methods for real-time frequency domain photoacoustic theranostics

Origin of hydrodynamical instability in rotating shear flows

Learning with Density Matrices

Topological Data Analysis for the Study of Granular Materials

Optimal Execution algorithms for high frequency trading

Adaptive Multilevel Wavelet Methods for Scientific Computing

Deep Learning for Computational Seismic Imaging Towards reliable geophysical inversion using scientific machine learning

Origin of hydrodynamical instability in rotating shear flows

Exploring transitions in triply periodic minimal surfaces for additively manufacturable heat exchangers

Deep Learning for Computational Seismic Imaging Towards reliable geophysical inversion using scientific machine learning

Origin of hydrodynamical instability in rotating shear flows

Convection and dynamo action in astrophysical systems

A deep learning approach for training human selective attention with a real-time brain-computer interface (BCI)

Neural, muscular and articulatory encoding of speech

Deep Learning for Seismic Imaging Toward the acceleration of geophysical inversion workflows

Convection and dynamo action in astrophysical systems

Development of efficient deep learning models for medical image processing

Discontinuous Galerkin Algorithms for Hyperbolic-Parabolic PDEs

Dynamic Graph Algorithms for Smart Air-Traffic Management

Compiling for Massively Parallel Multi-grain Reactive Computation Models

Programming Models and Methods for Massively Parallel, Multi-grain Architectures

Image reconstruction methods for frequency-domain photoacoustic elastography

Dynamics of the Earth’s core from spherical dynamo models