Office
402B Stanley Thomas Hall
Courses Taught
3240/6240 – Intro to Machine Learning
4720/6720 – Machine Learning
4660/6660 – Deep Learning
Introductory AI, Intermediate AI, Machine Learning and Statistical Pattern Recognition, Introduction to Neural Networks
Education & Affiliations
Biography
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.
Research Interests
• Adversarial Learning and Optimization
• Privacy and Security of Machine Learning
• Medical Image Analysis and Computational Anatomy
• Nonlinear Dimensionality Reduction and Manifold Learning
