Amir Khazraei

Ph.D., Duke University

Research Expertise

Control Theory

Cyber-Physical Systems

Machine Learning

Robotics

Estimation

About

I am a postdoctral associate in the Electrical and Computer Engineering department at Duke university. I received the M.Sc. and the Ph.D. degrees in Electrical and Computer Engineering from Duke University, Durham, NC, in September 2022 and May 2023, respectively under the supervision of Dr. [Miroslav Pajic](https://people.duke.edu/~mp275/). I also received my B.Sc. degree in Electrical Engineering from Amirkabir University of Technology in 2014 and M.Sc degree in Electrical and Computer Engineering in 2017 from the University of Tehran. My research lies in the fields of resilient control, state estimation, and vulnerability analysis of Cyber-Physical systems. Specifically, my work focuses on the interplay between perception and sensing, communication-aware control, and learning and control aiming to design autonomous systems that are secure and robust to uncertainties and adversarial attacks. My work relies on tools drawn from control theory, machine learning, computer vision, and information theory.

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Publications

Replay attack detection in a multi agent system using stability analysis and loss effective watermarking

2017 American Control Conference (ACC)

2017

A new watermarking approach for replay attack detection in LQG systems

2017 IEEE 56th Annual Conference on Decision and Control (CDC)

2017

Attack-resilient state estimation with intermittent data authentication

Automatica

2022

Learning-Based Vulnerability Analysis of Cyber-Physical Systems

2022 ACM/IEEE 13th International Conference on Cyber-Physical Systems (ICCPS)

2022

Resiliency of Nonlinear Control Systems to Stealthy Sensor Attacks

2022 IEEE 61st Conference on Decision and Control (CDC)

2022

Perfect Attackability of Linear Dynamical Systems with Bounded Noise

2020 American Control Conference (ACC)

2020

Optimal Myopic Attacks on Nonlinear Estimation

2022 IEEE 61st Conference on Decision and Control (CDC)

2022

On Arxiv Moderation System

Unknown Venue

2023

Stealthy Perception-based Attacks on Unmanned Aerial Vehicles

2023 IEEE International Conference on Robotics and Automation (ICRA)

2023

A Staged Real-Time Ground Segmentation Algorithm of 3D LiDAR Point Cloud

Electronics

2024

Cyber-Attacks on Wheeled Mobile Robotic Systems with Visual Servoing Control

2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

2023

Education

Duke University

Ph.D., Electrical and Computer Engineering / May, 2023

Durham, North Carolina, United States of America

Duke University

MS.c., Electrical and Computer Engineering / May, 2023

Durham, North Carolina, United States of America

Experience

Duke university

Postdoctoral Associate / May, 2023 — Present

• Conducting multiple projects including reinforcement learning-based control on UAVs, adversarial machine learning, GPS spoofing attacks on unmanned aerial vehicles, and vulnerability analysis of CPSs against replay attacks. • Mentoring PhD students within the lab, providing guidance and support in refining research ideas and assisting with paper writing to enhance their academic development.

Research Assistant / September, 2018 — May, 2023

Conducted multiple projects including vulnerability analysis of perception-based and nonlinear control systems, learning-based vulnerability analysis of CPSs and attack resilient state estimations. • Demonstrated research outcomes through various case studies in diverse simulation environments and software platforms, utilizing programming languages such as Python, C++, and Matlab. • Fostered collaborative efforts with cross-laboratory teams to implement research findings on real-world systems. • Guided and mentored master’s students within the research lab, offering assistance in refining research concepts, paper writing, and fostering their academic growth.

Links & Social Media

Research Web Site

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