Hello! नमस्कार! 您好! Bonjour! Hallo!

I'm a Ph.D. student at JHU BME. Previously, I completed my Masters in ECE from Johns Hopkins University. I am fortunate to be working with Dr. Nicholas Durr for my thesis.

My research interests lie at the intersection of fields of computer vision, machine learning, and optics, particularly their applications to the biomedical domain. My research involves improving the performance of deep learning models for datasets with small sizes or poor annotations. I'm also exploring the joint optimization of optical systems and AI algorithms for improved analysis of medical images.

Previously I worked as a Senior Software Engineer in the Medical Imaging Research Group, Healthcare & Medical Equipment division at Samsung Research Institute - Bangalore. I graduated from the Indian Institute of Technology (IIT) Guwahati in 2017 with a Bachelors in Electronics and Communications Engineering.

If I'm not tinkering with medical imaging algorithms, you can catch me playing volleyball or running on Baltimore streets.

As with life, this site is always a work in progress!

Explored jigsaw puzzle solving based semi-supervised learning for polyp classification to improve performance by up to 9.8% using unlabeled data. Additionally, investigated semi-supervised learning’s advantages of domain adaptation, and out-of-distribution detection over purely supervised methods.

[Paper]

• • Blood vessel delineation in endoscopy videos : Improved the performance of vessel detection with Frangi Vesselness method by 8% using custom symmetry detection filtering and background removal.

  • Endoscopic Scene classification : Classification was done into 4 classes based blood vessel informationand dye content. A support vector machine was trained on features based on edge, colour and texture information for classification. Further, the accuracy was improved to 98.5% by using a ResNet inspired CNN.

  • 3D reconstruction of polyp : Used Structure from Motion & 3D Recurrent Reconstruction Neural Network for 3D shape recovery of polyp.

[Thesis]

Worked on the development of following algorithms:

• Semi-automatic cardiac valve segmentation in 3D Ultrasound (US) Transesophageal echocardiography images.

• Enhancement and optimization of Panoramic image stitching algorithm specific to Musculoskeletal (MSK) US images;

• Motion Detection in US images.