Lab Info

Dae Ung Jo
Assistant Professor
School of Electronics Engineering, Kyungpook National University
Research Interests
  • Deep Learning and Machine Learning
  • Multi-Modal / Cross-Modal Learning
  • Representation Learning
  • Computer Vision
  • Out-of-distribution Detection
  • Active Learning
Contact
Email
daeung [dot] jo [at] knu [dot] ac [dot] kr
Tel
+82-53-950-5526
Office
Room 527, IT Building 1, Kyungpook National University, Daegu, South Korea
Education
2016 – 2022
Ph.D., Department of Electrical and Computer Engineering, Seoul National University, Seoul, Korea (Integrated Ph.D. program)
2012 – 2016
B.S., Department of Electrical and Computer Engineering, Seoul National University, Seoul, Korea
Experience
2025 – Present
Assistant Professor, School of Electronics Engineering, Kyungpook National University
2022 – 2025
Staff Engineer, Samsung Advanced Institute of Technology (SAIT), Samsung Electronics (Autonomous Driving Team)

Office

Room 527, IT Building 1, Kyungpook National University, Daegu, South Korea