Ehsan Hashemi, PhD, PEng, IEEE Senior Member

Area of Study / Keywords

Automation and Robotics Control Theory Human-Robot Interaction Cooperative Autonomous Systems Autonomous Navigation

About

Education and Positions:

• Research Assistant Professor, University of Waterloo (2018-2020)
• Visiting Professor, KTH Royal Institute of Technology, School of Electrical Eng. & Computer Science (Jan.-Sep. 2019)
• Visiting Professor, Karlsruhe Institute of Technology (Aug.-Oct. 2020)
• Postdoctoral Fellowship, University of Waterloo (2017-2018)
• PhD, Mechanical & Mechatronics Eng., University of Waterloo (2017)
• MSc, Mechanical Engineering, AmirKabir University of Technology (2005)

Research

Lab webpage: https://sites.google.com/ualberta.ca/networked-optimization-diagnos/about-us

Research Interest:

• Control theory
• Distributed estimation and control
• Robotics
• Autonomous navigation
• Human-autonomy coordination

Available positions are posted here. Motivated graduate students and Postdocs with background in perception, motion planning, and autonomous navigation are encouraged to contact ehashemi [at] ualberta [dot] ca.

MEC E 301A - Mechanical Engineering Laboratory I

Laboratory experiments in mechanical engineering measurement techniques, treatment of measurement data, introduction to engineering report writing. Corequisite: MEC E 300.

MEC E 301B - Mechanical Engineering Laboratory I

Laboratory experiments in mechanical engineering measurement techniques, treatment of measurement data, introduction to engineering report writing. Corequisite: MEC E 300.

MEC E 403 - Mechanical Engineering Laboratory II

Selected laboratory experiments in applied mechanics and thermosciences. Prerequisites: MEC E 300, 301, 340 and 360.

MEC E 652 - Autonomous Driving and Navigation

Introduction to theoretical and technical aspects of robot perception. Topics may include autonomous navigation, accurate localization, state estimation, and motion planning for robot and vehicle applications. Deep learning based visual feature detection and classification, various actuation systems for path tracking and stabilization in autonomous driving, Safety of the Intended Functionality and health monitoring of the control loop in automated driving will also be covered.

Browse more courses taught by Ehsan Hashemi

• Google Scholar
• NODE Lab