Sara Hatami Gazani work email
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Sara Hatami Gazani personal email
Sara Hatami Gazani is a Applied Scientist at DeFault AI. She possess expertise in deep reinforcement learning, robot operating system, photogrammetry, deep neural networks, arduino and 21 more skills.
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Applied ScientistDefault AiCanada -
Graduate Research AssistantThe University Of British Columbia Oct 2023 - PresentVancouver, British Columbia, CanadaAlgorithms, Optimization, and Control Laboratory (AOCL) -
Independent ContractorNational Research Council Canada / Conseil National De Recherches Canada Nov 2023 - Present -
Academic TutorUvic Engineering Students' Society Apr 2023 - Aug 2023 -
Graduate Research AssistantUniversity Of Victoria Jan 2022 - Aug 2023Advanced Control and Intelligent Systems Laboratory -
Graduate Teaching AssistantUniversity Of Victoria Jan 2022 - Aug 2023 -
Teaching AssistantUniversity Of Tehran Mar 2019 - Dec 2021Tehran Province, Iran -
Research InternTaarlab: Human And Robot Interaction Laboratoryآزمایشگاه تعامل انسان و ربات Jun 2020 - Sep 2021Tehran, Iran -
AssistantRobome - Robotics Engineering Center Jul 2019 - Jul 2020Tehran, Tehran Province, Iran
Sara Hatami Gazani Skills
Sara Hatami Gazani Education Details
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Mechanical Engineering -
Mechanical Engineering -
Mechanical Engineering -
Computer Engineering -
Mathematics And Physics
Frequently Asked Questions about Sara Hatami Gazani
What company does Sara Hatami Gazani work for?
Sara Hatami Gazani works for Default Ai
What is Sara Hatami Gazani's role at the current company?
Sara Hatami Gazani's current role is Applied Scientist.
What is Sara Hatami Gazani's email address?
Sara Hatami Gazani's email address is sa****@****ault.ca
What schools did Sara Hatami Gazani attend?
Sara Hatami Gazani attended The University Of British Columbia, University Of Victoria, University Of Tehran, University Of Tehran, National Organization For Development Of Exceptional Talents (Sampad).
What skills is Sara Hatami Gazani known for?
Sara Hatami Gazani has skills like Deep Reinforcement Learning, Robot Operating System, Photogrammetry, Deep Neural Networks, Arduino, Avr, Sensor Fusion, Catia, Matlab, Teaching, Tensorflow, Communication.
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