Austin Greisman is part of an Accelerated Master’s of Applied Science program in Electrical and Computer Engineering at Queen’s University. He completed his Bachelor of Applied Science with Professional Internship (Ericsson Canada) in Electrical Engineering at Queen’s University in Spring 2020. He is supervised by Dr. Keyvan Hashtrudi-Zaad and Dr. Joshua Marshall as a member of Offroad Robotics within the Ingenuity Labs Research Institute. Austin’s research explores the localization of autonomous vehicles in all weather conditions using radar technology complimented by AI.
Graduate Related Awards
- Vector Scholarship in Artificial Intelligence Recipient 2020-21 ($17,500)
- Mitacs Research Training Award Recipient 2020 ($6,000)
- APSC 143 – Introduction to Computer Programming for Engineers (2016-2018)
- Nominated for The Christopher Knapper Award for Excellence in Teaching Assistance
- ELEC 278 – Fundamentals of Information Structures (Fall 2020)
- ELEC 299 – Mechatronics Project (Summer 2021)
A. Greisman, K. Hashtrudi-Zaad, and J. A. Marshall. Detection of conductive lane markers using mmWave FMCW automotive radar. To appear in Proceedings of the 2021 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI), Karlsruhe, Germany, September 23, 2021.
Austin G., Alex R., Stefan P., Wilson L., Smart IoT Connected Thermos, B.A.Sc Capstone Project, Department of Electrical and Computer Engineering, Queen’s University, Kingston, ON, April 2020 (advisor: Ali Etemad).