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Adam Greig
Position: PhD Student
E-mail: ag611@cam.ac.uk
Website: adamgreig.com
Office: BN3-02
Thesis Title: Sparse Regression Codes for Network Communications
Supervisor: Dr Ramji Venkataramanan
Background
I completed my undergraduate BA and MEng degrees at CUED, specialising in Computer and Information Engineering. My Masters project involved optimisation in the biologically inspired context of bacterial colony pattern formation, and I also studied signal processing and statistics.
Research Interests
My research focuses on information theory and coding for communications. I am interested in the new area of sparse regression codes (SPARCs) and their application to network information theory issues, such as the multiple description problem and coding with side information.
Publications
Capacity-achieving Sparse Regression Codes via approximate message passing decoding
10.1109/TIT.2017.2649460 /
arxiv:1501.05892 and
10.1109/ISIT.2015.7282809
Optimizing the Finite Length Performance of Sparse Superposition Codes
arxiv:1705.02091
Teaching
I demonstrate(d) A4 (Fourier Signal Analysis), I1 (Spectrum Analysis & AM Modulation), the IA Microprocessors lab, and 3F4 (Data Transmission).
I supervise(d) 2P6 (Communications), 3F1 (Signals & Systems), 3F4 (Data Transmission), 3F6 (Software Engineering), and 3F7 (Information Theory).
