Mojtaba Fathi
About Mojtaba Fathi
Mojtaba Fathi is a Software Engineer 4 at Torc Robotics, specializing in real-time applications and deep learning. He holds a PhD in Mechanical Engineering from the University of Wisconsin-Milwaukee and has a strong background in machine design, fabrication, and mechatronics.
Work at Torc Robotics
Mojtaba Fathi currently holds the position of Software Engineer 4 at Torc Robotics, a role he has occupied since 2021. He is based in Blacksburg, Virginia, United States. His work primarily focuses on software development, leveraging his expertise in real-time applications and deep learning. His contributions are integral to the advancement of robotic technologies within the company.
Education and Expertise
Mojtaba Fathi has an extensive educational background in engineering. He earned a Doctor of Philosophy (PhD) in Mechanical Engineering from the University of Wisconsin-Milwaukee, where he studied from 2013 to 2018. Prior to that, he obtained a Master's degree in Mechatronics from Sharif University of Technology from 2009 to 2012. He also holds a Master's degree in Mechanical Engineering from K. N. Toosi University of Technology (1999-2002) and a Bachelor's degree in Mechanical Engineering from the University of Tehran (1994-1999). His expertise includes real-time applications, deep learning, and machine design.
Background
Mojtaba Fathi has a solid foundation in mechanical engineering, with a background that includes machine design and fabrication. His interest in Mechatronics and embedded systems complements his engineering skills. He has worked in various roles, including a Senior R&D Engineer at Ansys in Lebanon, New Hampshire, from 2020 to 2021, and a Data Scientist at VasoGnosis in Milwaukee, Wisconsin, for a brief period in 2020.
Research and Development
Mojtaba Fathi conducts research focused on the applications of deep neural networks in solving partial differential equations (PDEs). His work in this area contributes to advancements in computational methods and enhances the understanding of complex engineering problems. He utilizes his programming skills and experience with tools such as NumPy, SciPy, and TensorFlow in his research and software development efforts.