Michelle Effros
George Van Osdol Professor of Electrical Engineering; Vice Provost
B.S., Stanford University, 1989; M.S., 1990; Ph.D., 1994. Assistant Professor, Caltech, 1994-2000. Associate Professor, 2000-05; Professor, 2005-13; Van Osdol Professor, 2013-; Vice Provost, 2021-.
Research interests: information theory, communications, data compression, and networks
Overview
Professor Effros' research interests include information theory, data compression, and network communications.
Publications
- Sun, Siming;Effros, Michelle (2024) Almost Lossless Onion Peeling Data Compression
- Yavas, Recep Can;Kostina, Victoria et al. (2023) Variable-Length Sparse Feedback Codes for Point-to-Point, Multiple Access, and Random Access ChannelsIEEE Transactions on Information Theory
- Han, SooJean;Effros, Michelle et al. (2022) OUTformation: Distributed Data-Gathering with Feedback under Unknown Environment and Communication Delay Constraints
- Kosut, Oliver;Effros, Michelle et al. (2022) On the Benefit of Cooperation in Relay Networks
- Yavas, Recep Can;Kostina, Victoria et al. (2022) Third-order Analysis of Channel Coding in the Moderate Deviations Regime
- Sun, Siming;Effros, Michelle (2022) Source Coding with Unreliable Side Information in the Finite Blocklength Regime
- Langberg, Michael;Effros, Michelle (2022) Network Coding Multicast Key-Capacity
- Yavas, Recep Can;Kostina, Victoria et al. (2021) Gaussian Multiple and Random Access Channels: Finite-Blocklength AnalysisIEEE Transactions on Information Theory
- Yavas, Recep Can;Kostina, Victoria et al. (2021) Nested Sparse Feedback Codes for Point-to-Point, Multiple Access, and Random Access Channels
- Noorzad, Parham;Langberg, Michael et al. (2021) Negligible Cooperation: Contrasting the Maximaland Average-Error CasesIEEE Transactions on Information Theory
Related Courses
2023-24
EE/Ma/CS 126 ab – Information Theory
2022-23
EE/Ma/CS 126 ab – Information Theory
2021-22
EE/Ma/CS 126 ab – Information Theory
2020-21
EE/Ma/CS 126 ab – Information Theory