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Shahryar Barati is a highly skilled AI Scientist and Engineering Manager with a Ph.D., currently making significant contributions at Waabi, a company focused on AI for self-driving trucks. He has a strong background in machine learning, deep learning, computer vision, and robotics, with a proven track record of leading research and development teams to deliver innovative AI solutions. His work often involves tackling complex challenges in perception, prediction, and planning for autonomous systems. Shahryar is passionate about translating cutting-edge research into robust, scalable, and safe real-world applications, particularly within the autonomous vehicle industry. He is recognized for his technical depth, leadership capabilities, and contributions to the AI community through publications and a commitment to advancing the field.
Shahryar Barati's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Completed doctoral studies focusing on advanced topics in artificial intelligence, machine learning, or robotics, contributing novel research and methodologies to the academic community. This often includes publications in high-impact journals and conferences.
Plays a pivotal role in developing and refining the AI software stack for Waabi's autonomous driving solutions, focusing on areas like perception, sensor fusion, or motion planning to enable safe and efficient self-driving capabilities.
Successfully leads and mentors teams of AI scientists and engineers, fostering an environment of innovation and collaboration to achieve complex project goals in the development of autonomous vehicle technology.
Authored or co-authored multiple research papers presented at top-tier international AI conferences (e.g., CVPR, ICCV, NeurIPS, ICRA) and published in respected journals, showcasing significant contributions to AI theory and application.
Designed and implemented innovative machine learning models and algorithms that have advanced the state-of-the-art in areas relevant to autonomous systems, such as robust object detection, scene understanding, or behavior prediction.
Imperial College Business School - Year 2017
Imperial College London - Year 2007
Imperial College London - Year 2003
Massachusetts Institute of Technology - Year 2018
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