Ali Parsa received his Bachelor’s and Master’s degrees in Electrical Engineering with a focus on Control Systems from the University of Tehran. During his studies, he designed and implemented several systems and devices related to smart homes for optimizing residential energy consumption in the Mechatronics Laboratory of the University of Tehran, leading to two patents in this field. He earned his Ph.D. from the School of Electrical Engineering at Sharif University of Technology in 2018, with high distinction, focusing on the research topic of control theories for remotely operated vehicles.

He then worked for three years in the Research and Innovation Department of a manufacturing company, the largest automotive parts producer in Iran, where he supervised several national projects to develop intelligent automotive parts. Following this, he engaged in postdoctoral research in Italy’s “City of Automobiles,” collaborating on autonomous and smart vehicle technologies. During this time, he contributed to multiple international projects, implementing artificial intelligence in vehicles and advancing smart vehicle technologies, acting as both a project manager and a technical engineer. One of his practical experiences involved working in an open-field laboratory for the implementation and testing of autonomous vehicles.

Dr. Parsa has extensive professional experience in fields such as biomedical engineering, smart homes, building energy management systems, and drone control. His primary research interests include networked control systems for autonomous vehicles, intelligent cars, artificial intelligence, and the Internet of Things (IoT). He has delivered numerous scientific and educational lectures both domestically and internationally, particularly on intelligent and autonomous vehicles, and has authored several articles published in prestigious international and national journals and conferences.

After completing his postdoctoral studies, he returned to Iran, motivated by a desire to contribute to the country’s progress despite lucrative international job offers. He explored various avenues to advance Iran’s industrial landscape, particularly in automotive production and transportation. To this end, he founded a university-affiliated research center and a knowledge-based company, promoting these fields through educational courses and conferences at various levels.

Dr. Parsa is regarded as an influential figure in education within these fields. He has taught specialized courses at the University of Tehran and presented seminars and hands-on training in artificial intelligence and IoT. Among his significant contributions is the launch of a comprehensive professional AIoT course with a team-building approach.

Beyond his technical and engineering pursuits, Dr. Parsa has been actively involved in entrepreneurial ventures, completing various management and business courses, and serving as a manager or consultant in several startups. In 2021, he established the Cheetah Research Center at the University of Tehran, where he currently leads a team of academic elites in researching and developing knowledge-based products in artificial intelligence and IoT.

Dr. Parsa is also the CEO of a knowledge-based company at Sharif University of Technology’s Science and Technology Park, specializing in autonomous and connected vehicles. With a team of experts in artificial intelligence, control, electronics, and software, the company is a pioneer in the intelligent vehicle industry. Its focus is on designing and developing advanced subsystems for autonomous vehicles to enhance safety and efficiency in transportation. One of its latest achievements is the design and production of a driver drowsiness and distraction detection system with fleet management capabilities. The system has successfully passed simulation tests and real-world evaluations and is now in production.

This AI-based device is installed on the vehicle dashboard to monitor the driver’s condition. If the driver becomes drowsy or turns their head away from the road, the system alerts them to refocus on driving. Since more than one-third of accidents in Iran are caused by “lack of attention to the road and distractions,” this system has significant potential to reduce accidents and related damages. Additionally, its capabilities extend to optimizing and smartly managing transportation fleets.

Ultimately, the company envisions developing technologies that redefine road safety and revolutionize the transportation industry with innovative solutions.