Adarsh N L

Hello, my name is Adarsh Nanjaiya Latha. I recently completed my Master of Technology in Artificial Intelligence and Machine Learning from IIIT Sri City. My academic journey and professional experiences have been deeply rooted in machine learning, computer vision, and federated learning.

I’ve had the opportunity to conduct research at ABB Corporate Research Center as a student intern, focusing on collaborative learning under distribution change scenarios. During my tenure, I developed an efficient drift detection and model adaptation algorithm, reducing both computational and communication costs.

In addition to my professional work, I’ve contributed to multiple research publications, including a study on leveraging internal representations for magnetic image classification and a lightweight federated learning framework. I’ve also been fortunate to present my work at international conferences.

My passion lies in bridging theoretical machine learning concepts with real-world applications. I enjoy tackling challenges like concept drift, data scarcity, and heterogeneity in distributed systems. Whether through developing algorithms or engaging in collaborative research, I strive to create solutions that are not only innovative but also practical.

Outside of research, I actively contribute as a reviewer for NeurIPS workshops and engage in STEM outreach initiatives to share knowledge and spark interest in AI.