Raman Goyal Email
Staff Robot Learning Engineer @ Analog Devices
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Raman Goyal Location
- Palo Alto, CA, US
Raman Goyal Work
- Staff Robot Learning Engineer @ (December 2025 - Present)
- Advanced Research Scientist @ (May 2023 - December 2025)
- Research Scientist, Palo Alto Research Center (XEROX PARC) @ (June 2021 - May 2023)
- TEES Postdoctoral Researcher @ (July 2020 - July 2021)
- Graduate Research Assistant @ (August 2015 - July 2020)
- CIRTL Associate Fellow @ Academy for Future Faculty, Center for Teaching Excellence, Texas A&M University (October 2019 - May 2020)
- Instructor of Record, Department of Aerospace Engineering @ Texas A&M University System (January 2019 - May 2019)
- Reliability Engineer @ (July 2013 - April 2015)
- Engineering Trainee (Internship) @ (May 2012 - July 2012)
- Co-Founder @ IIT Roorkee Motorsports (October 2010 - May 2012)
Raman Goyal Education
- Texas A&M University
Doctor of Philosophy - PhD (Aerospace Engineering)
2015-2020 - Indian Institute of Technology, Roorkee
Bachelor of Technology (BTech) (Mechanical Engineering)
2009-2013
Raman Goyal Skills
- Artificial Intelligence (AI)
- Control Theory
- Motion Planning and Control
- Reinforcement Learning
- Machine Learning
- Robotics
- State Estimation
- Parameter Estimation
- Python (Programming Language)
- C++
- Matlab
- ANSYS
- Control Systems Design
- Diagnostics and Prognostics
- Differential Privacy
- Computer-Aided Design (CAD)
- Optimization
- Automotive Engineering
- Mechanical Engineering
- Simulations
- Engineering
- Digital Signal Processing
- Robot manipulation
- Microsoft Office
- Solidworks
- Finite Element Analysis
- Testing
- Team Management
- Training
- AutoCAD
- C
- Analysis
- Machine Design
Raman Goyal Summary
- Raman Goyal, based in Palo Alto, CA, US, is currently a Staff Robot Learning Engineer at Analog Devices. Raman Goyal brings experience from previous roles at SRI (Stanford Research Institute), PARC and Texas A&M University. Raman Goyal holds a 2015 - 2020 Doctor of Philosophy - PhD in Aerospace Engineering @ Texas A&M University. With a robust skill set that includes Artificial Intelligence (AI), Control Theory, Motion Planning and Control, Reinforcement Learning, Machine Learning and more. Raman Goyal has 2 emails on RocketReach.
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