Shirin Jalali
Research Interests
• High-dimensional inference and inverse problems
• Computational imaging
• Machine learning
• Information theory
• Statistical signal processing
Profile
Shirin Jalali is an Assistant Professor of Electrical and Computer Engineering at Rutgers University. Prior to joining Rutgers, she was a Research Scientist at Nokia Bell Labs. Her main background is in information theory, statistical signal processing and machine learning. Currently, her research interests span a range of problems related to i) developing theoretically-founded computationally-efficient solutions to understand and address various issues rising in modern computational imaging, such as speckle noise and snapshot imaging, ii) online learning, iii) structure learning, and iv) developing an information theoretic understanding of neural networks and deep learning.
Education
- Ph.D. in Electrical Engineering from Stanford University 2010
- M.Sc. in Statistics from Stanford University 2010
- M.Sc. in Electrical Engineering from Sharif University of Technology, 2004
- B.Sc. in Electrical Engineering from Sharif University of Technology, 2002