About Manav
I am Manav, a dedicated postdoctoral scholar based at ETH Zürich, with a profound interest in the intersection of deep learning, artificial intelligence, and physics-driven modeling. My academic and professional journey spans several prestigious institutions, including ETH Zürich, Caltech, and The University of British Columbia, where I earned my Ph.D. in Mechanical Engineering. This background has equipped me with a robust understanding of multiscale modeling, computational mechanics, and high-performance computing.
Throughout my career, I have developed specialized expertise in leveraging physics-informed deep learning methods to advance fracture modeling and implicit neural representation approaches applicable to 3D printing. These endeavors have allowed me to collaborate with a spectrum of experts across different disciplines, enhancing my capabilities in interdisciplinary collaboration. I am also deeply committed to mentoring the next generation of researchers and regularly guide PhD, masters, and undergraduate students in their academic projects.
My passion lies in exploring innovative ways to address challenging mechanical engineering problems through cutting-edge technology. I have been privileged to present my peer-reviewed work at numerous international conferences and contribute to the pool of knowledge through well-regarded journal publications.
When not delving into research, I enjoy nurturing young minds, guiding them through complex mechanics with an AI lens and engaging them with fresh perspectives on data analysis, MEMS, and more. My journey from undergraduate studies at the Indian Institute of Technology, Kanpur, to my present role has been deeply rewarding, filled with learning and growth. I am always excited to embark on new challenges, be it through collaborative projects or consultations.