ILAS Olga Taussky and John Todd Prize
International Linear Algebra Society prize recognizing outstanding mid-career achievement and substantial contributions to structured matrix computations.
Dr. Sirani M. Perera
Professor of Mathematics · Applied Linear Algebra · Scientific Computing · Machine Learning
Applied mathematician developing low-complexity classical and machine-learning algorithms across scientific computing, signal processing, communications, autonomous systems and related fields.
Professor of Mathematics, Embry-Riddle Aeronautical University
Structure.
Efficiency.
Discovery.
Dr. Sirani M. Perera is a Professor of Mathematics at Embry-Riddle Aeronautical University whose research connects applied linear algebra with scientific computing, engineering, signal processing, wireless communications, machine learning and autonomous systems.
Her work emphasizes structured matrices and low-complexity algorithms: methods designed to preserve mathematical structure while reducing computational cost and improving numerical reliability. She also explores structured neural networks and data-driven methods for scientific and engineering applications.
50+
research outputs listed by ERAU
2026
ILAS Olga Taussky & John Todd Prize
4
NSF divisions supporting research activity
2026
Professor of Mathematics
Highlighted recognition
Rising Star in Science
Recognition from the Academy of Science, Engineering, and Medicine in Florida.
Convergence Research (CORE) Fellow
Fellowship at the CORE Institute under the NSF Convergence Accelerator Program.
Research programs and projects
Data-driven Realization of State-space Dynamical Systems via Low-complexity Algorithms
NSF-supported research on data-driven and efficient realization of dynamical systems.
SWIFT: AI-based Sensing for Improved Resiliency via Spectral Adaptation with Lifelong Learning
Collaborative research combining AI, sensing and spectral adaptation for resilient systems.
Distributed Learning for Undergraduate Programs in Data Science at Diverse Universities
A multi-institution data science education initiative supporting distributed learning.
Swarms of Unmanned Aircraft Systems in the Age of AI/Machine Learning
Research mentoring and interdisciplinary work involving AI/ML and unmanned aircraft systems.
Wideband Multi-Beam Antenna Arrays
Low-complexity algorithms and analog-CMOS implementations for wideband multi-beam antenna arrays.
Novel Efficient and Stable Algorithms for Ionospheric Simulations
Efficient and numerically stable methods for scientific simulation.
Selected publications
- 2026
-
2026
A Low-complexity Algorithm to Digitally Uncouple the Mutual Coupling Effect in Antenna Arrays via Symmetric Toeplitz Matrices
Journal of Computational and Applied Mathematics Source
- 2026
-
2025
A Low-complexity Algorithm to Search Legendre Pairs
Linear Algebra and its Applications Source
- 2025
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2024
Beyond Regular Grids: Fourier-Based Neural Operators on Arbitrary Domains
International Conference on Machine Learning Source
Conferences and invited talks
ILAS Olga Taussky and John Todd Prize Lecture
Prize lecture at the 27th International Linear Algebra Society Conference, Virginia Tech.
Low-complexity Data-driven or Classical Algorithms and Applications
Co-chair of a minisymposium with James Nagy and Ilias Kotsireas.
Data Science and Machine Learning Sessions
Session chair at the NSF Division of Mathematical Sciences Computational Mathematics Meeting.
Utilizing Structure to Achieve Low-complexity Algorithms for Data Science, Engineering, and Physics
Co-chair of a minisymposium.
Low-complexity Algorithmic and Data-driven Approaches in Scientific Computing and Engineering
Co-chair of a minisymposium with Xianqi Li.
Analysis of Experimental Algorithms
Plenary speaker at the special event on Analysis of Experimental Algorithms.
News, video and public engagement
Embry-Riddle Graduation and Hooding Ceremony
Dr. Perera served as a speaker during Embry-Riddle commencement activities.
Open sourceImportance of Convergence in Research
Television discussion on convergence in research and the Symposium on Interlacing Engineering Research.
Open sourceFederal Funding to Bolster Data Science Education
Embry-Riddle news coverage of federal support for data science education.
Open source