Tara Rajabi Nezhad

Master's Student
Research Focus: Smart Traffic; Transportation Electrification; V2X; Artificial Intelligence.
Industry Focus: Automotive Electrification; Electric Mobility; Autonomous and Self Driving Vehicles.

Tara Rajabi Nezhad graduated with honours in electrical engineering, specializing in automation and control, from Amirkabir University of Technology (Tehran Polytechnic), Iran, in July 2023. In September 2023, she began her master’s studies at McMaster University under the supervision of Dr. Ali Emadi, at the McMaster Automotive Resource Centre (MARC). Her current research focuses on the research and development of Vehicle-to-Everything (V2X) applications, using driving simulators to advance automotive technology and promote sustainable mobility. 

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Tara Rajabi Nezhad’s passion for engineering began early. In junior school, she placed first in the Mathematical Olympiad, an achievement that confirmed her interest in analytical thinking and problem-solving. She went on to study electrical engineering, graduating with honours in automation and control from Amirkabir University of Technology (Tehran Polytechnic), Iran, in July 2023.

During her undergraduate studies, Tara gained practical experience through research projects, workshops, and internships. She applied her coursework to real-world challenges in system design, control engineering, and finite element analysis. One of her most significant projects was her thesis on autonomous systems, titled Leader Following Consensus in Vehicle Platoons on IoT-Based Platforms. She designed a multi-agent system for a differential-drive vehicle platoon that maintained performance even when some agents malfunctioned. She also developed machine learning-based tracking algorithms for localization and obstacle avoidance.

Her interest in applied engineering extended beyond autonomous systems. Tara contributed to a mini-satellite module project, where she explored modulation techniques, image processing, and hardware setup. She interned at Roupel, a technology startup, deepening her skills in artificial intelligence and image processing. She also designed and implemented a real-time tracking device using IoT and Java-based data platforms.

Wanting to explore intelligent and autonomous transportation systems further, Tara began her master’s degree in September 2023 at the McMaster Automotive Resource Centre (MARC), under the supervision of Dr. Ali Emadi. Her research focuses on Vehicle-to-Everything (V2X) applications, using driving simulators to support innovation in automotive technology and sustainable mobility.

Outside of research, Tara enjoys exploring new cultures through travel. She also spends her free time sketching, listening to music, and staying active through hiking, biking, dancing, and basketball—reflecting her creative and energetic nature.

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