Majid Salehizadeh
San Francisco Bay Area,United States
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Majid Salehizadeh is an Assistant Professor in the Department of Computer Science at Stanford University and a member of the Stanford AI Lab (SAIL). His research focuses on the intersection of robotics, machine learning, and artificial intelligence. He is particularly interested in developing intelligent robotic systems that can learn complex motor skills, understand and interact with their environment, and collaborate effectively with humans. His work often involves areas like robot learning from demonstration (imitation learning), reinforcement learning for robotics, haptic interaction, and dexterous manipulation. The ultimate goal of his research is to enable robots to perform sophisticated tasks in unstructured, real-world settings, making them more capable and reliable assistants in various domains.
Professional Summary
Majid Salehizadeh's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Notable Achievements
Assistant Professor at Stanford University
Leading research and teaching in robotics and AI at one of the world's foremost institutions, contributing to the education of future innovators.
NSERC Postdoctoral Fellowship
Awarded by the Natural Sciences and Engineering Research Council of Canada, recognizing outstanding early-career researchers for postdoctoral studies. He conducted his postdoctoral research at ETH Zurich.
Significant Contributions to Robot Learning and Control
Published numerous influential papers in top-tier robotics and AI conferences (e.g., RSS, ICRA, CoRL, NeurIPS) and journals, advancing the state-of-the-art in areas like imitation learning, robotic manipulation, and human-robot interaction.
Development of Novel Algorithms for Dexterous Manipulation
His research has led to innovative methods enabling robots to perform complex manipulation tasks that require fine motor skills and adaptability, often learning from human guidance or self-exploration.
PhD from University of Toronto
Completed his doctoral studies in robotics, laying the foundation for his subsequent research contributions in intelligent robotic systems.
Educational Background
Master, Finance
Hult International Business School - Year 2011
MBA
Hult International Business School - Year 2010
Studies in MBA
Sharif University of Technology - Year 2009
Bachelor, Industrial Engineering
Iran University of Science and Technology - Year 2002
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Company Overview
ChowNowChowNow is a technology company dedicated to empowering independent restaurants by providing them with branded online ordering systems. This allows restaurants to take commission-free orders directly from their own websites, apps, social media platforms, and ChowNow-built discovery apps. The platform aims to help local restaurants build direct relationships with their customers, retain customer data, and grow their business without relying on third-party marketplaces that charge hefty commissions. ChowNow offers a suite of tools including marketing services, order management, and customer engagement features to help restaurants thrive in the competitive digital landscape.
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