A Race Towards Innovative Future in Engineering: An International Expert Talk Series-1.2 (Vehicle Driven By AI)

#IEEEDay #tech #chitkara #ciet #vehicle #AI #artificialintelligence #new #experttalk
Share

We are pleased to announce an upcoming expert talk on “Vehicle Driven by AI,” hosted by the Department of Computer Science and Engineering in collaboration with the IEEE Student Chapter CUIET, scheduled for  8th October, 2024. This session aims to explore the transformative role of AI in autonomous driving technology, highlighting advancements in machine learning, computer vision, and sensor technologies. Key topics will include the future of self-driving cars, safety protocols, and ethical considerations such as AI bias and data privacy. The talk will conclude with a Q&A session, providing participants with the opportunity to discuss the implications of AI in shaping the future of transportation. We encourage all faculty and students to attend and engage in this insightful discussion.

 


  Date and Time

  Location

  Hosts

  Registration


  • Date: 08 Oct 2024
  • Time: 10:00 AM to 11:30 AM
  • All times are (UTC+05:30) Chennai
  • Add_To_Calendar_icon Add Event to Calendar
If you are not a robot, please complete the ReCAPTCHA to display virtual attendance info.
  • Contact Event Host

  • For more details, contact:

    - Dr. Rupali Gill: 9988092468  
    - Dr. Durgesh Srivastava: 9996745993  
    - Dr. Priyanka Gupta: 9646787866  

  • Co-sponsored by DCSE
  • Survey: Fill out the survey
  • Starts 03 October 2024 09:00 AM
  • Ends 07 October 2024 09:00 PM
  • All times are (UTC+05:30) Chennai
  • No Admission Charge

  Speakers

Dr. Fujia of Guizhou University, China

Topic:

Vehicle Driven by AI

"Vehicle Driven by AI" explores the integration of artificial intelligence in autonomous driving technology, focusing on how machine learning, computer vision, and sensor technologies are revolutionizing the automotive industry. This topic examines advancements that enable vehicles to navigate, make decisions, and improve safety through real-time data processing. Additionally, it addresses ethical considerations, such as AI bias and data privacy, while emphasizing the importance of safety protocols and the potential impact of AI on the future of transportation.

 

Biography:

 

Prof. Fuzia is an Associate Professor at Guizhou Normal University, China, with over 15 years of experience in computer science and a focus on artificial intelligence (AI) applications, particularly in autonomous driving technology. She has made significant contributions to the field through her involvement in various commercial projects that enhance the safety, efficiency, and functionality of AI-driven systems. As a dedicated educator, she has mentored numerous students, bridging the gap between academic research and industrial application. Today, she will share her insights into the current development status of autonomous driving in China, highlighting advancements, challenges, and the future outlook of this rapidly evolving field based on her extensive research and industry experience.

Address:Guizhou University, , Guizhou, China, 550001




Agenda

  1. Overview of AI's role in autonomous vehicle development.

  2. Key developments in machine learning, computer vision, and sensor technologies.

  3. Importance of safety measures for reliable autonomous systems.

  4. Discussion on AI bias, fairness, and data privacy in vehicle users.

  5. Engaging discussion on AI's impact and interdisciplinary collaboration in transportation.