BiographyAbout MeHi! I am a researcher broadly working on problems at the intersection of Real-Time Systems and Artificial Intelligence (AI) with a particular focus on Worst-Case Execution Time Analysis due to shared resources in multi/many-core processors. I consider myself extremely fortunate to be part of a profession that allows me to constantly learn, innovate, and uncover mysteries for a living. Currently, I am employed as a Research Intern at the Samsung R&D Bangalore, where I have been working on Large Langauge Models for Knowledge Graph creation to enhance user search experiences. I submitted my Ph.D. thesis to the Department of Computational and Data Science, Indian Institute of Science, Bangalore, India, where I was advised by Prof. SK Nandy and Prof. Soumyendu Raha. I got my Bachelor's degree from the Department of Computer Science, Delhi University, Delhi, India. During my PhD, I was a Visting researcher at Technische Universität Dresden, Germany. At TUD, I worked broadly on WCET prediction problems in GPUs and Mixed-Crticality Systems. In the past, I have also held Associate Member positions at the Morphing Machines Pvt.L Ltd. where I worke on Many-core processor REDEFINE for its WCET estimation. My research interests lie at the intersection of AI and Real-Time Sytems. My research interests include Networks-on-Chip, Memory controllers, and Cache analysis techniques for time-predictable architectures. Apart from that, I have been working on Timing Analysis using machine learning and deep learning methods for past four years. |