Aditya Ramamoorthy

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Education

B. Tech., Electrical Engineering, Indian Institute of Technology (1999)
M.S., University of California (2002)
Ph.D.,  University of California (2005)

Research Areas

Core Area(s): Computing and networking systems, communications and signal processing

Department’s Strategic Area(s): Data, decisions, networks & autonomy

Additional Information

Publications

Google Scholar Profile: https://scholar.google.com/citations?user=tSTjVf4AAAAJ&hl=en

• Aditya Ramamoorthy and Li Tang, “Numerically stable coded matrix computations via circulant and rotation matrix embeddings“, IEEE Trans. on Information Theory, vol. 68(4), pp. 2684-2703, Apr. 2022.
• Anindya B. Das and Aditya Ramamoorthy, “Coded sparse matrix computation schemes that leverage partial stragglers“, IEEE Trans. on Information Theory, vol. 68(6), pp. 4156-4181, Jun. 2022.
• Konstantinos Konstantinidis and Aditya Ramamoorthy, “ByzShield: An Efficient and Robust System for Distributed Training“, Fourth Conf. on Machine Learning and Systems (MLSys), 2021.
• Anindya B. Das, Aditya Ramamoorthy and Namrata Vaswani, “Efficient and Robust Distributed Matrix Computations via Convolutional Coding“, IEEE Trans. on Information Theory, vol. 67(9). pp. 6266-6282, Sep. 2021.
• Hooshang Ghasemi and Aditya Ramamoorthy, “Asynchronous Coded Caching with Uncoded Prefetching“, IEEE/ACM Trans. on Networking, vol. 28, no. 5, pp. 2146-2159, Oct. 2020.
• Aditya Ramamoorthy, Anindya B. Das and Li Tang, “Straggler-resistant distributed matrix computation via coding theory“, IEEE Sig. Proc. Mag., 2020 (to appear).
• Li Tang, Konstantinos Konstantinidis and Aditya Ramamoorthy, “Erasure coding for distributed matrix multiplication for matrices with bounded entries“, IEEE Comm. Letters, vol. 23(1), pp. 8-11, Jan. 2019.
• Aditya Ramamoorthy, Li Tang and Pascal O. Vontobel, “Universally Decodable Matrices for Distributed Matrix-Vector Multiplication“, IEEE Intl. Symp. on Information Theory, 2019.
• Tang+ and A. Ramamoorthy, “Coded Caching Schemes with Reduced Subpacketization from Linear Block Codes”, IEEE Trans. on Information Theory, 2018 (to appear).
• Li, A. Ramamoorthy and R. Srikant, “Mean-Field-Analysis of Coding versus Replication in Large Data Storage Systems”, ACM Transactions on Modeling and Performance Evaluation of Computing Systems,vol. 3(1), pp. 3:1-3:28, 2018

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