Dr. Oren Freifeld

Assistant professor

Research: My research areas are computer vision, statistical inference, and machine learning. I focus on developing new practical and mathematically-principled computational tools for analysis of stochastic high-dimensional real-world signals. I’m interested in tools that provide interpretability and uncertainty quantification, that scale gracefully with the data’s size, and that adapt model complexity to the data. I’m particularly interested in Bayesian or geometric methods and problems such as unsupervised learning, motion analysis, segmentation, statistical image models, and deep learning.

Contacts

Email:
Homepage:
Office: 204 in 37 building
Phone number: 08-6428207
Box number: 78
Office hours: Tue 10:00-12:00

Teaching

Fall 2018-2019 20213011 Introduction to Numerical Analysis
Spring 2019 20224721 Computer Vision: Models, Learning and Inference
Spring 2019 20225551 Research Seminar
Fall 2017-2018 20213011 Introduction to Numerical Analysis
Fall 2017-2018 20217777 Research experience for excellent students C - Dkalim Program
Spring 2018 20224721 Computer Vision: Models, Learning and Inference
Spring 2018 20217778 Research experience for excellent students D - Dkalim Program
Fall 2016-2017 20214961 Topics in computer vision
Spring 2017 20226141 Methods in Computer Vision

Research groups

Computational and Computer Vision
Computational and Computer vision
Machine Learning

Education

2013  -  Ph.D  Brown University, Applied Mathematics
Advisor: Michael Black