Projects
List of research works done in the past and ongoing in reverse chronological fashion
Nutritional status screening in children via novel small sample size classifiers
PhD Thesis, Clinical collaboration - AIIMS Jodhpur
Technical Collaborator - IIT Jodhpur
This project focuses on developing innovative small sample size classifiers to assess the nutritional status of children. Utilizing computer vision and deep learning, the project aims to automate anthropometric measurements and detect malnutrition indicators such as stunting and wasting. The model leverages limited data while improving the scalability and accuracy of malnutrition screening in resource-limited settings. PI: Dr. Mayank Vatsa, IIT Jodhpur ; Dr. Richa Singh, IIT Jodhpur
CAD Biomarkers Prediction Using IVUS Images and MiRNA Data
Clinical Collaboration - AIIMS Rishikesh
Technical Collaborator - IIT Jodhpur
This research integrates intravascular ultrasound (IVUS) imaging and microRNA (MiRNA) data to predict biomarkers for coronary artery disease (CAD). By employing machine learning and deep learning techniques, the project aims to enhance early detection and prognosis of CAD, improving patient outcomes through advanced computer vision approaches. PI: Dr. Angshuman Paul, IIT Jodhpur; Dr. Mayank Vatsa, IIT Jodhpur ; Dr. Richa Singh, IIT Jodhpur
Neonatal Pain Detection
Collaborative Project, IIT Jodhpur
This project seeks to develop a deep learning-based system for detecting pain in neonates using facial cues and body movements. By analyzing images and videos captured in clinical settings, the model will help healthcare providers identify pain levels in infants who cannot communicate, offering a non-invasive solution for improving neonatal care. PI: Dr. Richa Singh, IIT Jodhpur.
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Micro Engineered Systems for Antibiotic Susceptibility Testing
BEES Lab, IISc
This project involves designing micro-engineered systems to test bacterial antibiotic susceptibility using inductance analysis. The goal is to develop a rapid and portable diagnostic platform that can accurately determine bacterial resistance, paving the way for timely and personalized antibiotic treatments. PI: Dr. Hardik J Pandya, IISc.
Portable Platform for Rapid Phenotyping of Cancer Biopsy Tissues
BEES Lab, IISc
The project focuses on developing a micro-engineered platform to rapidly phenotype cancer biopsy tissues through inductance analysis and tissue biomechanics. This system aims to provide a faster, more accurate way of analyzing cancerous tissues, offering insights into tumor characteristics and enabling more effective treatments. PI: Dr. Hardik J Pandya, IISc.
Chromosome numbers of a rare threatened plant Eremogone curvifolia and physical
localization of 45S rRNA genes on its chromosomes
Bachelor's Thesis
This study investigates the chromosome numbers of the rare plant Eremogone curvifolia and physically localizes the 45S rRNA genes on its chromosomes using fluorescent microscopy. The findings will contribute to conservation efforts by offering insights into the plant's genetic makeup and aiding in the protection of this threatened species. PI: Dr. Sundip Malik, GBPUAT.
Exploring Non-Invasive Solutions for Heart Health Monitoring
Passion Project
I am currently exploring a passion project focused on continuous heart health monitoring through three innovative approaches: facial video-based heart rate monitoring, retinal image analysis, and wearable camera devices. This initiative aims to develop non-invasive and continuous monitoring solutions that leverage advanced computer vision techniques and wearable technologies to assess cardiovascular health. The project holds deep personal significance for me, as I lost my father to heart disease, motivating my commitment to improve heart health monitoring and contribute to early detection and prevention strategies. By combining these technologies, I aspire to create accessible tools that empower individuals to take charge of their heart health proactively.