azizan - MECHE PEOPLE Navid Azizan MIT Department foxy9 of Mechanical Engineering Navid Azizan Edgerton Assistant Professor of Mechanical Engineering and Data Systems and Society Research Interests Machine learning for physical systems Trustworthy machine learning Mathematical optimization Dynamical systems and control theory Safetycritical systems Autonomy Scientific machine learning Navid Azizan MITIBM Watson AI Lab Navid Azizan is an assistant professor of mechanical engineering and data systems at MIT He works on machine learning control theory optimization and network science for intelligent systems applications Navid Azizan Google Scholar Azizans research interests broadly lie in machine learning control theory mathematical optimization and network science He has made fundamental contributions to various aspects of intelligent systems including the design and analysis of optimization algorithms for nonconvex and networked problems with applications to the smart grid distributed computation epidemics and autonomy ASL Publications S M Richards JJ Slotine N Azizan and M Pavone Learning ControlOriented Dynamical Structure from Data in Int Conf on Machine Learning Honolulu Hawaii 2023 Abstract Even for known nonlinear dynamical systems feedback controller synthesis is a difficult problem that often requires leveraging the particular structure of the dynamics to induce a Navid Azizan is a researcher and educator in machine learning systems and control optimization and network science He is the Esther Harold E Edgerton Career Development Assistant Professor at MIT where he leads the Control meets Learning lab and holds dual appointments in ME and IDSS MIT School of Engineering Navid Azizan Navid Azizan Navid Azizan is an assistant professor and the Esther and Harold E Edgerton batel Career Development Professor at MIT with dual appointments in the Department of Mechanical Engineering and the Institute for Data Systems and Society as part of the School of Engineering and the Schwarzman College of Computing People Navid Azizan MIT Statistics and Data Science Center Navid Azizan MIT CCSE Massachusetts Institute of Technology Navid Azizan IDSS Prof Navid Azizan ILP Massachusetts Institute of Technology N Azizan Ruhi K Dvijotham N Chen A Wierman IEEE Transactions on Smart Grid 9 6 56875698 2018 80 2018 Stochastic gradientmirror descent Minimax optimality and implicit regularization N Azizan B Hassibi International Conference on Learning Representations ICLR 2019 2019 78 Navid Azizan aslstanfordedu Navid Azizan Esther and Harold E Edgerton Career Development Assistant Professor Mechanical Engineering Navid Azizan is the Esther Harold E Edgerton 1927 Assistant Professor at MIT where he is a Principal Investigator in the Laboratory for Information Decision Systems LIDS and holds dual appointments in the Department of Mechanical Engineering Control Instrumentation Robotics Professor Azizan News Media A simpler method for learning to control a robot Researchers develop a machinelearning technique that can efficiently learn to control a robot leading to better performance with fewer data READ MORE How to assess a generalpurpose AI models reliability before its deployed Navid Azizan is the Esther and Harold E Edgerton Career Development Assistant Professor in IDSS and MechE a Principal Investigator in LIDS and a Core Member of the Statistics and Data Science Center His research interests broadly lie in machine learning control theory mathematical kode pos mollo selatan optimization and network science
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