Technical / Research Assistants

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.

Kaustubh Kulkarni received the bachelor’s degree in engineering from Mumbai University, and the MSc degree from Auburn University. He worked at Siemens Research Labs in India and the USA. He was a researcher INRIA, Grenoble, France and Computer Vision Center, Universitat Aut onoma de Barcelona. Following which he worked on the problems of designing speech recognition engines on highly noisy speech data for defence applications. He has experience working in medical image analysis, action recognition, speech recognition, and emotion recognition. At SCMIA, he is working on learning multimodal deep learning models for early detection of Alzheimer's disease.

Ms.Jui is a neuroscientist with a strong academic foundation in Psychology and a Master’s degree in Brain and Mind Sciences from the University of Sydney. Her work is fuelled by a deep interest in consciousness, cognition, and the intricate workings of the human mind. With a particular focus on Adlerian psychology and perceptual awareness, she is dedicat-ed to understanding how cognitive processes influence behavior, decision-making, and self-perception.

At SCMIA, Jui works as a Research Assistant, contributing to imaging studies that investi-gate the neural underpinnings of cognitive function. She is especially interested in explor-ing cognition as a fundamental construct, seeking to understand its role across diverse theoretical and experiential domains. Through her research, she aims to uncover insights that can inform both scientific understanding and real-world applications in mental health and human performance.