NASIT2009 Thursday - Student Poster Presentations (2/2)
Titles of posters presented on Thursday 08/13 2-3:30pm
- Yury Polyanskiy Princeton University Finite Blocklength Results in Channel Coding
- Changho Suh University of California Can Feedback Mitigate Interference?
- Demijan Klinc Georgia Institute of Technology LDPC Codes for the Gaussian Wiretap Channel
- Naveen Goela University of California, Berkeley Linear Compressive Networks
- Mustapha El-Halabi Texas A&M University On Secrecy Capacity per Unit Cost
- Shizheng Li Iowa State University Protection against Link Errors and Failures using Network Coding in Overlay Networks
- Arya Mazumdar University of Maryland, College Park Error Correcting Capabilities of Codes on Graphs
- Yao Li WINLAB, Rutgers University Optimizing Rateless Codes in a Heterogeneous Networking Environment
- Jin Xu Syracuse University Secure Coding Over Networks
- Changxin Shi Northwestern University Monotonic Convergence of Distributed Interference Pricing in Wireless Networks
- Yaniv Erlich Cold Spring Harbor Laboratory Compressed Genotyping
- Suvarup Saha Northwestern University On The Capacity of Deterministic Interference Channels Beyond Two Users
- Gareth Middleton Rice University Resource Allocation in Large Multiflow Wireless Networks
- Jayakrishnan Unnikrishnan University of Illinois at Urbana-Champaign Mismatched Divergence and Universal Hypothesis Testing
- Chiranjib Choudhuri University of Southern California On the Capacity of Relay Channel with Memory
- Arvind Yedla Texas A&M University Universality via Iterative Decoding for Erasure Correlated Sources
- John Sun Massachusetts Institute of Technology Quantization for Compressed Sensing Reconstruction
- Pedro Santacruz Rice University Medium Access Protocol Analysis and Design: An Error-Event Approach
- Yang Weng University of Illinois at Chicago
- Jun Luo Northwestern University Compressed Neighbor Discovery for Wireless Ad Hoc Networks
- Jieying Chen Northwestern University An Adaptive Limited Feedback Scheme for MIMO-OFDMA Based on Optimal Stopping
- Vaneet Aggarwal Princeton University Capacity of Interference Networks with a Local View