Jungseock Joo

Jungseock Joo is an Associate Professor in the Department of Communication at UCLA and a Principal Computer Vision and Machine Learning Engineer at NVIDIA. His research bridges computer science and social sciences, focusing on AI-driven analysis of human communication in media, visual perception, and algorithmic fairness. He holds a Ph.D. in Computer Science from UCLA (2015), an M.S. from Columbia University (2010), and a B.S.E. from Seoul National University (2008).

His work emphasizes computational methods for understanding visual communication, including facial recognition, gesture analysis, and media bias detection. Notable projects include the FairFace dataset for bias mitigation and Red Hen Lab, a multimodal data infrastructure. He has received NSF grants and the Hellman Fellowship, with publications in top venues like CVPR and NeurIPS.

• Research Themes: Algorithmic bias, human-AI interaction, visual persuasion, and political communication.
• Key Projects: FairFace, automated protest analysis, and AI ethics frameworks.
• Industry Experience: Former roles at Facebook and Amazon Alexa AI, alongside academic leadership.
• Awards: NSF Award (2022), Hellman Fellowship (2016).

His lab develops tools for analyzing social and political events via rich media, including geolocated social media and TV news. Current work explores fairness in autonomous vehicle perception systems and Sim2Real robotics for deformable object manipulation.