Adjunct Faculty-Machine Learning Department - Carnegie Mellon University

Kayhan Batmanghelich

Kayhan Batmanghelich

Assistant Professor, Department of Biomedical Informatics and Intelligent Systems, University of Pittsburgh

Website: http://people.csail.mit.edu/kayhan/

My research is at the intersection of medical vision (medical image analysis), machine learning, and bioinformatics. I develop algorithms to analyze and understand medical images along with genetic data and other electrical health records such as the clinical report. For example, I have developed a probabilistic model to extract information from brain images (Magnetic Resonance Images) of patients with Alzheimer's disease and relate them the underlying genetic markers involved in the disease. I am interested in novel method development as well as real-world clinical applications.


Carlos Guestrin

Carlos Guestrin

Professor of Computer Science & Engineering, University of Washington

Website: http://www.cs.washington.edu/people/faculty/guestrin


Estevam Hruschka

Estevam Hruschka

Associate Professor, Computer Science Department, Federal University of Sao Carlos

Website: http://www2.dc.ufscar.br/~estevam/

My research interests lie in Machine Learning and how to build computer systems capable of deep understanding structured, as well as unstructured data (such as text).

Kamal Nigam

Kamal Nigam

Engineering Manager, Google Pittsburgh

Website: http://www.kamalnigam.com/


Jun Zhu

Jun Zhu

Associate Professor, Tsinghua University

Website: http://ml.cs.tsinghua.edu.cn/~jun

My research focuses on developing statistical machine learning methods to understand complex scientific and engineering data. My current interests are in latent variable models, large-margin learning, Bayesian nonparametrics, sparse learning in high dimensions, and scalable learning algorithms.