Masoud Soroush
Associate Teaching Professor · Non-Tenure Track
Department of Computer Science and Electrical Engineering
College of Engineering and Information Technology
He/Him/His/Himself
Research interests
• Machine Learning
• Deep Learning Architectures
• Topological Data Analysis
• Applications of ML/DL in Electromagnetic and Photonic Problems
• Algebraic Topology
• Low Dimensional Topology and Knot Theory
• String Theory and Topological Strings
• Algebraic Geometry and Mirror Symmetry
Teaching interests
• Machine Learning
• Introduction to Data Science
• Deep Learning
• Mathematical Foundations of Machine Learning
• Statistical Foundations of Data Science
• Capstone Project
• Reinforcement Learning
Education
- MS, Data Science — University of Maryland Baltimore County (2022)
- Postdoc, Mathematical Physics — Brandeis University (2015)
- Postdoc, Mathematical Physics — Bonn University (2013)
- Postdoc, Mathematical Physics — Arnold Sommerfeld Center (2011)
- Ph D, Mathematical and Theoretical Physics — Stanford University (2009)
- MS, Theoretical Physics — Sharif University of Technology (2003)
Publications
Courses Taught
- Introduction to Data Analysis and Machine Learning
- Introduction to Data Analysis and Machine Learning