Jungseock Joo
I'm a Principal Computer Vision and Machine Learning Engineer at Nvidia, working on perception for autonomous vehicles. I'm also an Associate Professor in Communication and Statistics at UCLA. I'm an interdisciplinary researcher, and my research has addressed a broad range of research questions and practical issues about AI in both technical and social aspects over the last 15 years. These topics include Human-AI interaction, face and gestures, collaborative robots, simulations, explainable and fair computer vision and deep learning.
I have worked in academia and industry and held positions in engineering and social sciences. My research has appeared in top venues in social sciences, engineering and computer science and has been supported by NSF, Hellman Fellowship, and industrial sponsors.
I have worked in academia and industry and held positions in engineering and social sciences. My research has appeared in top venues in social sciences, engineering and computer science and has been supported by NSF, Hellman Fellowship, and industrial sponsors.
- New NSF Award on Discrete Simulation of Flexible Structures and Soft Robots
- CfP: Special Issue in IJOC on Artificial Intelligence and New Media in Challenges: Algorithmic Bias and Ethical Issues
- Tutorial in FAccT 2022: Fairness in Computer Vision: Datasets, Algorithms, and Implications
- Workshop in ICWSM 2022: Workshop on Images in Online Political Communication (PhoMemes)
Positions
- Principal Engineer, Nvidia 2022-
- Associate Professor, UCLA 2022-
- Assistant Professor, UCLA 2016-2022
- Visiting Researcher, Amazon Alexa AI, 2020-2022
- Research Scientist, Facebook, 2015-2016
Education
- PhD, Computer Science, UCLA, 2015
- MS, Computer Science, Columbia University, 2010
- BSE, Computer Science and Engineering, Seoul National University, 2008
Contact
- jjoo at nvidia dot com
- jjoo at comm.ucla.edu