Soomok Lee
Scholar

Soomok Lee

Google Scholar ID: W_Y5EF8AAAAJ
Ajou University
Machine learning and smart mobility
Citations & Impact
All-time
Citations
261
 
H-index
9
 
i10-index
9
 
Publications
20
 
Co-authors
0
 
Contact
No contact links provided.
Resume (English only)
Research Experience
  • Focused on delving into the intricacies of machine learning technology to facilitate the development of self-driving vehicles and promote the concept of smart mobility. Continuously researching and experimenting with cutting-edge algorithms to ensure that our self-driving applications remain at the forefront of innovation, paving the way for a new era of travel that is both safer and more efficient.
Background
  • Main interests include the development and implementation of robust multi-modal machine learning technologies to enable autonomous driving; investigating novel machine learning theories that can enhance the intelligence and performance of self-driving vehicles, smart mobility applications, and mobile robots; aiming for scalability in developing new types of mobility domains, incorporating cutting-edge machine learning advancements; also exploring technological innovation in decision-making processes, robots, or spatial AI.
Miscellany
  • You can join our lab through the Graduate School's Department of Artificial Intelligence, Department of Data, Networks and AI (AI mobility engineering / Electrical / Mechanical engineering selective major), or the Department of Mobility Engineering.
Co-authors
0 total
Co-authors: 0 (list not available)