Technical / Research Assistants

Sarang is employed as a Project Associate with Symbiosis Centre for Medical Image Analysis (SCMIA) and is currently working on the DST-PURSE project titled "Advancing Multi-Disciplinary Artificial Intelligence-Aided Research in Health and Sustainable Environment".

He has done Masters in Electronics and Communication Engineering from Chikara University, Punjab. He has done his graduation from IIIT Pune in Electronics and Telecommunication Engineering. He has worked on several modalities such as text, imaging and signals including EEG and Speech. He has published several research papers in journals of repute and currently holds five patents. He has also worked on several projects including:

• Bandgap Prediction for Semiconductor Alloys - Joint Industrial Collaboration with IIT Ropar and NIELIT Chandigarh.
• GeSn an Alternative Alloy for Silicon Replacement- Collaboration with National Chung Cheng University, Taiwan.
• Fatigue Detection using EEG - Collaboration with Brookes Oxford University.
• AI based Damage Assessment from Multi-Spectral Satellite Images - Collaboration with IIRS Dehradun.

Shivani Sawant is a Research Assistant specializing in Medical Image Analysis using Deep Learning. Holding a Master of Science in Statistics from Washington State University and a Bachelor of Engineering in Computer Science from Savitribai Phule Pune University, Shivani brings a unique blend of statistical expertise and technical proficiency to her role. Her primary research interest centers around uncertainty quantification in Convolutional Neural Networks, driven by the aim to enhance the trustworthiness and reliability of deep learning models used in the biomedical domain.

In her current role, she engages in interdisciplinary research by combining mathematics, statistics, computer science and human anatomy to work on statistical shape modelling and building deep learning models for orthopaedic applications, with a focus on femoroacetabular impingement.