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Design and Development of Interpretable AI methods for Flow Cytometric Immunophenotyping Data from Blood Cancers

Creates interpretable AI methods for flow cytometry analysis in blood cancers, improving diagnostic accuracy and healthcare outcomes.

Deep Learning-Based Image Analysis for Complement-dependent Cytotoxicity (CDC) Crossmatch Imaging and FISH Techniques: A Comprehensive Research Proposal

This project uses DL techniques (CNNs and RNNs) to automate CDC crossmatch image analysis in organ transplantation, reducing manual interpretation errors and variability in treatment decisions.

Predicting breast cancer receptor status and molecular subtype using MRI images

Leveraging ML/DL, this project predicts breast cancer receptor status and molecular subtypes, enhancing treatment personalization, reducing invasiveness, and improving outcomes for Indian populations. Collaborates with Max Healthcare for impactful so

1. AI-Powered App for Managing Atopic Dermatitis: Enhance treatment adherence and patient outcomes through an AI-driven mobile app. 2. AI-Based App for Classifying Itchy Dermatoses : Provide PCPs with an AI-enabled diagnostic tool to differentiate dermatophytosis from other conditions. 3. AI-Enabled Ultrasound Diagnostics App: Develop an AI-powered tool for real-time ultrasound analysis across multiple organ systems.

Project: Build various AI models and build technology with Web Interface with reports including Mobile App. This will be done with help of videos captured from NHAI project

Project: 1. Customization of Open Source Mind Lamp platform developed by Harvard Medical School for use in the Indian healthcare settings in collaboration with AIIMS 2. Digital Stethoscope in association with AIIMS-Pulmonology Department

Project: Build various AI models and build technology with Web Overhead interface with reports including Mobile App. This will be done in response to various problem statements from MoRD

Development of a high performance Faraday rotation spectroscopy instrument, and ultrathin optical isolators for quantum communications

The project aims to innovate: -Ultrathin optical isolators based on 2D materials -Exciton-based energy-efficient and flexible devices -Fast acquisitionFaraday and Kerr spectroscope -Fast acquisition ellipsometer -High-performance polarimeters. This w

Nano-Spintronic Devices based on 1D & 2D Quantum Magnets

The project aims to innovate: Scalable synthesis of (i) Oxides@CNT using Camphor (ii) graphene –like sheets of layered 2D oxides. Novel Interface effects, leading to new functionality including piezomagnetism, large magnetoresistance This will lead

Fabrication of optoelectrical sensor/dtector platform using quantum confined systems

These Ultra-sensitive sensor platforms will be beneficial for numerous applications like point-of-care diagnostics, environmental monitoring, secure communications, automation control etc. Cost effecting production of these high-performance sensors/d