Mohammad Javad Khojasteh
I am a postdoctoral associate with Wireless Information and Network Sciences Laboratory (WINS Lab) and Laboratory for Information & Decision Systems (LIDS) at MIT, working with Prof. Moe Win. From Jan 2020 to Oct 2020, I was a postdoctoral scholar at Caltech, and a visitor at NASA Jet Propulsion Laboratory, where I worked with Team CoSTAR. I did my Ph.D. in Electrical and Computer Engineering (Intelligent Systems, Robotics, and Control) at UC San Diego. My advisor was Prof. Massimo Franceschetti. During my Ph.D. I also collaborated closely with Prof. Jorge Cortés, Prof. Tara Javidi, and Prof. Nikolay Atanasov. Before joining UCSD, I got two bachelor's degrees in Electrical Engineering and Mathematics at Sharif University of Technology.
Research Interests:
My research spans several different areas involving both classical and quantum systems.
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In the case of classical systems, my research goal is to develop scientific principles for cyber-physical systems and autonomous robot systems aimed at increasing the efficiency, safety, and security of these systems. I work on machine learning for dynamics and control.
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In the case of quantum systems, my research goal is to advance the fundamental knowledge of transformative technologies that exploit the unique resources of quantum mechanics. I work on data-driven control of quantum systems.
The fields relevant to my research are control theory, machine learning, robotics, quantum mechanics, optimization theory, and communication/information theory.
Media Coverage:
Between Two Universes, written by Raleigh McElvery, MIT News and LIDS/All Magazine: Profiles my research at MIT.
Email: mkhojast@mit.edu, LinkedIn, ResearchGate, Google Scholar, Twitter.
Updates:
May 2021: Organizer and chair, Invited Session on Safe and Risk-aware Planning and Control for Learning-enabled Systems, ACC 2021.
May 2021: Program Committee, Workshop on Safe Robot Control with Learned Motion and Environment Models, ICRA 2021.
May 2021: Organizer and chair, 9TH IEEE Workshop on Advances in Network Localization and Navigation (ANLN), GLOBECOM 2021.
April 2021: Talk, Seminar on Control and Information.
December 2021: Invited Talk, NASA Jet Propulsion Laboratory, 347N Tech Talk, hosted by Dr. Amir Rahmani and Dr. Federico Rossi.
November 2020: I joined MIT.
September 2020: Invited Talk, Laboratory for Information & Decision Systems (LIDS), MIT.
July 2020: Invited Talk, Autonomous Systems Lab, Stanford University, hosted by Prof. Marco Pavone.
April 2020: Invited Talk, NASA Jet Propulsion Laboratory.
October 2019: I defended my Ph.D. dissertation.
August 2019: I am attending the Robustness in Learning and Statistics summer school.
April 2019: Invited Talk, Wireless Systems Lab, Stanford University, hosted by Prof. Andrea Goldsmith.
February 2019: I am giving a graduation day talk in Information Theory and Applications Workshop (ITA 2019).
December 2018: I will present two papers in 57th IEEE Conference on Decision and Control.
November 2018: I successfully passed Ph.D. Qualifying Exam.
August 2018: I received Student Travel Award for 57th IEEE Conference on Decision and Control.