Seyed Sina Mirrazavi Salehian
About Seyed Sina Mirrazavi Salehian
Seyed Sina Mirrazavi Salehian is a Research Scientist with extensive experience in robotics and control algorithms. He has worked at notable institutions such as EPFL and Nnaisense, and has contributed to advancements in safe exploration and adaptive robotics.
Current Role at NNAISENSE
Seyed Sina Mirrazavi Salehian has been employed as a Research Scientist at NNAISENSE since 2019. In this role, he focuses on advancing research in robotics and control systems. His work involves developing algorithms that enhance the functionality of robotic systems in dynamic and uncertain environments. This position allows him to apply his extensive knowledge in optimization and control theory to real-world challenges in robotics.
Previous Experience at EPFL
Seyed Sina Mirrazavi Salehian has a significant history with EPFL (École Polytechnique Fédérale de Lausanne). He completed his doctoral studies there, achieving a Doctorate in Philosophy from 2013 to 2018. During his tenure, he served as a Researcher PhD Candidate for four years and as an Assistant Instructor for three years. Additionally, he completed a five-month internship at EPFL in 2013. His experiences at EPFL contributed to his expertise in robotics and control systems.
Educational Background
Seyed Sina Mirrazavi Salehian holds multiple degrees in engineering and robotics. He earned his Bachelor of Science in Mechanical Engineering from Amirkabir University of Technology - Tehran Polytechnic from 2006 to 2010. He then pursued a Master of Science in Robotics and Mechatronics at the same institution from 2010 to 2012. His academic journey culminated in a Doctorate from EPFL, where he studied Engineering, Robotics, and Philosophy, among other disciplines.
Expertise in Robotics and Control Algorithms
Seyed Sina Mirrazavi Salehian possesses expert knowledge in convex and non-convex optimization, as well as linear and non-linear control algorithms. He has developed innovative algorithms that enable robotics to operate effectively in fast, adaptive, and uncertain environments. His research includes contributions to safe control policies and Bayesian RNN forward models, showcasing his commitment to advancing the field of robotics.
Contributions to Robotics Research
Seyed Sina Mirrazavi Salehian has made significant contributions to robotics research through various publications. He co-authored papers on Neural Lyapunov Model Predictive Control and Safe Interactive Model-Based Learning. His involvement in developing a framework for safe exploration in control applications demonstrates his focus on enhancing safety and efficiency in robotic systems.