Team – ARGOS VISION

Mr. Mohammad Farhadi has been working on accelerating neural networks since Aug 2016 under Prof. Yezhou Yang’s supervision as part of his Ph.D. He published several papers in this field. He joined Nextrea Video as a summer intern in May 2019. During his internship, Mohammad worked on accelerating neural networks using FPGA accelerators and testing the methodology he developed in the university on a real-world application. Mohammad later joined Ford Motor Company as a summer intern in May 2020. He worked on accelerating object detection models, which can e also was president of the Iranian Student Association (ISA) from Aug 2017 to Aug 2018 at ASU.

assist autonomous vehicles for passing junctions safely.

Before joining ASU as a Ph.D. student, Mohammad completed his master’s at the University of Tehran and started working on several industrial-level projects. He haworked as the project manager and leading a team to set up several datacenters.

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1.Dr. Yezhou Yang is an Assistant Professor at School of Computing, Informatics, and Decision Systems Engineering, ASU. He is directing the ASU Active Perception Group. His primary interests lie in Cognitive Robotics, Computer Vision, and Robot Vision, especially exploring visual primitives in human action understanding from visual input, grounding them by natural language as well as high-level reasoning over the primitives for intelligent robots. Before joining ASU, he was a Postdoctoral Research Associate at the Computer Vision Lab and the Perception and Robotics Lab, with the University of Maryland Institute for Advanced Computer Studies. He is a recipient of Qualcomm Innovation Fellowship 2011, the NSF CAREER award 2018 and the Amazon AWS Machine Learning Research Award 2019. He receives his Ph.D. from University of Maryland at College Park.

Past Successful Technology Transfers:

1) US Patent: “Learning manipulation actions from unconstrained videos.” U.S. Patent Application 15/011,025, filed August 4, 2016. Yezhou Yang et.al. The technology is licensed by the Robot Training Academy Inc. (A Maryland based start-up company).

2) US Patent: “Histology Style Transfer for Confocal Laser Endomicroscopy Images.” U.S. Provisional Patent filed. Yezhou Yang et.al. The technology is under final stage of licensing agreement with world-leading company in optical systems and optoelectronics.