Aidan W. Murphy, Ph.D.
Research Interests
Publications
G.L. Matthews, T. Morrison, and A.W. Murphy, Curve-lifted codes for local recovery using lines, in review. Link here
G. Micheli and A.W. Murphy. Locally recoverable codes and finding good polynomials. Springer Publishing, expected 2024.
G.L. Matthews, A.W. Murphy, and W. Santos, Fractional decoding of r-Hermitian codes. Designs, Codes, and Cryptography, August 2023. Link here
G.L. Matthews and A.W. Murphy. Norm-trace-lifted codes over binary fields. IEEE International Symposium on Information Theory (ISIT), July 2022. Link here
A.W. Murphy. Codes from norm-trace curves: local recovery and fractional decoding. Ph.D. Thesis, April 2022. Link here
G.L. Matthews and A.W. Murphy. Cryptography, in Mathematics in Cyber Research. CRC Publishing, February 2022. Link here
G.L. Matthews, A.W. Murphy, and W. Santos. Fractional decoding of codes from the Hermitian curve. IEEE International Symposium on Information Theory (ISIT), July 2021. Link here
W. Gerych, L. Buquicchio, K. Chandrasekaran, A. Abdulaziz, H. Mansoor, A. Murphy, E. Rundensteiner, and E. Agu. BurstPU: Classification of Weakly Labeled Datasets with Sequential Bias. IEEE BigData Conference, December 2020. Link here
Miscellaneous
Invited Conference Talks
A.W. Murphy, Norm-trace-lifted codes. AMS Fall Central Sectional Meeting, Special Session on Coding, Storage, and Related Applications. Online (October 2021).
A.W. Murphy, Codes from curves and repair. CanaDAM 2021, Minisymposium on Algebraic and Combinatorial Approaches to Designs and Codes. Online (May 2021).
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