PhD 2008, University of Pennsylvania
Jihun Hamm is an Associate Professor in Computer Science at Tulane University. He received his Ph.D. from the University of Pennsylvania in 2008. His research interests are in algorithms, theories, and applications of Machine Learning. He is currently focusing on optimization problems in adversarial learning such as GAN to better understand their nature and implication in security/privacy applications. In the past he has also worked on developing nonlinear dimensionality reduction algorithms and applying them to medical image analysis to address high-dimensionality/small-sample problems of medical data.
• Adversarial Learning and Optimization
• Privacy and Security of Machine Learning
• Medical Image Analysis and Computational Anatomy
• Nonlinear Dimensionality Reduction and Manifold Learning
