Himangi Mittal currently serves as a Doctoral Student at Carnegie Mellon University, focusing on physics-based simulations and differentiable simulation modeling of various materials. Previously, Himangi was a Research Intern at Honda Research Institute USA, Inc., contributing to Visual-Large Language Models for action anticipation, resulting in a publication for CVPR 2024. As a Master's student in Robotics at Carnegie Mellon University, Himangi developed a self-supervised algorithm for learning from egocentric videos and designed an advanced algorithm for scene flow estimation with publications in NeurIPS 2022 and CVPR 2020. Early experience includes research internships at Robert Bosch Engineering and Business Solutions, IIT Hyderabad, and HCL Career Development Centre, where skills in machine learning, deep learning, and mobile application development were honed. Educational background includes a Bachelor of Technology in Computer Science and Engineering and a Master's degree in Mechatronics, Robotics, and Automation Engineering from Carnegie Mellon University.
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