Topic: Introduction to Autonomous Vehicle Sensors
Dr. Yong Wang, Associate Professor at Binghamton University (SUNY), USA, delivered an in-person interaction session at NMIMS, Mumbai, on 5th January 2026 for MBA Tech AI – 2nd Year students. The session, titled “Introduction to Autonomous Vehicle Sensors,” was conducted from 2:00 p.m. to 4:00 p.m. in Classroom 602 and was attended by approximately 53 students.
Dr. Wang introduced the fundamental sensor technologies used in autonomous vehicles, such as cameras, LiDAR, radar, and ultrasonic sensors, and explained their roles in perception and navigation. He also highlighted how sensor integration supports real-time decision-making and enhances safety in autonomous driving systems. The session provided students with practical insights into emerging trends and applications in autonomous vehicle technology.
Attendance Sheet
Topic: Introduction to Autonomous Systems and Their Applications
Dr. Yong Wang, Associate Professor and Associate School Director at the School of Systems Science and Industrial Engineering, Binghamton University (SUNY), USA, visited the NMIMS Mumbai campus at MPSTME on 5 January 2026. During his visit, he conducted an in-person interactive session titled “Introduction to Autonomous Systems and Their Applications” from 11:00 a.m. to 1:00 p.m. in Classroom 508. The session was attended by approximately 60 students from the B.Tech Cybersecurity (Second Year) program. Autonomous systems are intelligent technologies capable of performing tasks and making decisions with minimal or no human intervention. They integrate sensing, computation, and control to operate effectively in dynamic environments. Such systems are widely applied in areas such as robotics, transportation, healthcare, cybersecurity, and industrial automation.
Dr. Wang provided an overview of autonomous systems, their underlying technologies, and real-world applications across various industries. The interaction encouraged active student participation through questions and discussions. The session proved to be highly informative and offered students valuable exposure to emerging global trends in autonomous and intelligent systems.
