Sushant Gautam

Sushant Gautam

Position

Enrichment Student

Cohort year

2024

Bio

Sushant Gautam is a PhD student at the Simula Metropolitan Center for Digital Engineering in Oslo, Norway. He completed his master's degree from the Institute of Engineering, Tribhuvan University in Nepal, specializing in Informatics and Intelligent Systems Engineering. Sushant's master's thesis focused on multimodal sports game summarization, laying the groundwork for his ongoing research focus. His current work delves into multimodal understanding, aiming to advance the integration and analysis of multiple data modalities. Before starting his PhD, Sushant gained extensive experience in various domain applications. He collaborated with researchers from NAAMII, Haskins Laboratories, and ETH Zurich to predict neck dystonia scores using pose estimation algorithms. Additionally, he had industry experience as the founder and leader of a tech startup, where he integrated AI into learning management systems and developed successful products for behaviour tracking and proctoring during digital exams. Passionate about sharing ideas, he has actively led, participated in, and spoken at community events about technology and AI. His bachelor's thesis focused on using remote sensing with mobile vehicles to collect environmental data and predict weather patterns.

Research interests

With Turing, Sushant wants to focus on exploring collaboration opportunities in the field of multimodal understanding. He aims to work with various groups applying this technology across different domains and applications. One of his primary areas of interest is health datasets, which often contain multiple types of data, making them a critical topic for his research. Sushant also intends to investigate aspects such as fairness and bias within these datasets to ensure that the applications of his research are equitable and unbiased. Through his work, he hopes to contribute to the development of more effective and fair multimodal understanding techniques in the medical field.