Teaching
Current and Upcoming Classes
- BGU, AY 2020/2021, Spring. Computer Vision: Models, Learning, and Inference.
- BGU, AY 2020/2021, Spring. Introduction to Graphical Models and Deep Learning.
- BGU, AY 2020/2021, Fall. Topics in Unsupervised Learning (mini project).
Previous Classes
- BGU, AY 2019/2020, Spring. Computer Vision: Models, Learning, and Inference.
- BGU, AY 2019/2020, Fall. Introduction to Numerical Analysis.
- BGU, AY 2019/2020, Fall. Computer Vision: Models, Learning, and Inference.
- BGU, AY 2018/2019, Spring. Computer Vision: Models, Learning, and Inference.
- BGU, AY 2018/2019, Fall. Introduction to Numerical Analysis.
- BGU, AY 2017/2018, Spring. Machine Learning in Computer Vision.
- BGU, AY 2017/2018, Fall. Introduction to Numerical Analysis.
- BGU, AY 2016/2017, Spring. Methods in Computer Vision.
- BGU, AY 2016/2017, Fall. Topics in Computer Vision (mini project).
- MIT, Fall '13. An unofficial grad-level class, for EECS students, on Lie groups and Stochastic Processes.
Previous Classes Taught as a TA or a Lab Instructor
- Brown University, AY 2008/2009, Spring. TA in AM 169 - Computational Probability & Statistics (lecturer: Luis Carvahlo).
- Brown University, AY 2008/2009, Fall. TA in AM 261 (graduate level) - Applications in Probability & Statistics (lecturer: Stuart Geman).
- TAU, AY 2005/2006, Spring. Instructor in Medical Image Processing Laboratory.
- TAU, AY 2005/2006, Fall. TA in Introduction to Radiation and Medical Imaging.