Aditya Ramamoorthy


Professor [E CPE]


3222 Coover
2520 Osborn Dr.
Ames, IA 500111046



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


Google Scholar Profile:

  • 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