Sirani Mututhanthrige Perera

Title
Associate Professor
Email
Department
Mathematics Department
College
College of Arts & Sciences
Sirani Mututhanthrige Perera

Sirani M. Perera graduated with a B.Sc. (First Class Honors) degree in Mathematics from the University of Sri Jayewardenepura, Sri Lanka, in 2004. She became the first Sri Lankan mathematics undergraduate to be selected by the Center for Mathematical Sciences at the University of Cambridge, UK, receiving a full scholarship from the Cambridge Commonwealth Trust. In 2006, she graduated with a Master of Advanced Studies (the Part III Tripos) in Mathematics (with Honors) at the University of Cambridge, UK, and earned a Ph.D. in Mathematics from the University of Connecticut in 2012. She is currently a tenured Associate Professor of Mathematics at Embry-Riddle Aeronautical University.

Perera's research is supported by the National Science Foundation (NSF), including the divisions for Mathematical Sciences (DMS), Electrical, Communications, and Cyber Systems (ECCS), Computer and Network Systems (CNS) and Undergraduate Education (DUE). In 2023, she was selected as A Convergence Research (CORE) Fellow at the CORE Institute: The University of California San Diego, under the NSF Convergence Accelerator Program. In 2024, she was named A Rising Star in Science by the Academy of Science, Engineering and Medicine in Florida (ASEMFL).

Dr. Perera is an applied mathematician with expertise in applied linear algebra and low-complexity algorithms, including both classical and machine learning (ML) approaches. Her research spans computational mathematics, scientific computing, fast Fourier transform (FFT)-like algorithms, ML algorithms, numerical accuracy and reliability and algorithm generalization. She also specializes in structured matrix theory, with work involving Vandermonde matrices, Delay Vandermonde matrices (DVM), quasiseparable and semiseparable matrices, Bezoutians, Toeplitz, Hankel, circulant and banded matrices, as well as discrete cosine transform (DCT), discrete sine transform (DST) and discrete Fourier transform (DFT) matrices. She applies structured neural networks to solve problems in wireless communication, dynamical systems, digital signal processing, image processing and unmanned autonomous aerial systems.

Dr. Perera is passionate about proposing novel theories and developing low-complexity classical or ML algorithms that advance convergence across applied mathematics, engineering, celestial mechanics, and theoretical computer science to foster scientific discoveries.

  • Ph.D. - Doctor of Philosophy in Mathematics, University of Connecticut
  • DS 625: Data Comp Imag & Signal Proc
  • MA 432: Linear Algebra
  • MA 532: Num Linear Algebra for Engin
  • MA 700: Thesis Research

Numerical Linear Algebra for Engineers, Linear Algebra, Numerical Analysis, Mathematics and Algorithms, Abstract Algebra, 

Mathematical Modelling, Boolean Algebra, Computing for Finance, Combinatorics, Differential Equations, Calculus I, Calculus II

Calculus for Business and Economics, Mathematics for Business and Economics, Precalculus, and Trigonometry   

In Journals and Book Chapters

Sirani M. Perera and Ilias Kotsireas, A Low-complexity Algorithm to Search Legendre Pairs, Linear Algebra and Its Applications, 721, 149-171, (2025).

Sirani M. Perera, Levi Lingsch, Alp Tuztas, and Arjuna Madanayake, A Fast True Time-Delay Wideband Multi-Beam Beamforming Algorithm Based on a 16-Beam Approximate-DVM, IEEE Access, 13, 94488-94507, (2025).

Hao Xie, Arjuna Madanayake, Sirani M. Perera, Michal Okoniewski, and Leonoid Belostotski, A Demonstration of a Wideband Low-Complexity Multibeam Analog Beamforming Network, IEEE Transactions on Microwave Theory and Techniques, 1-11, (2025).

Brian Baker-McEvilly, David Canales, and Sirani M. Perera, Study of Uncertainties in the Prediction of Cislunar Trajectories using a Low-complexity Algorithm, the proceedings of the 35th AAS/AIAA Space Flight Mechanics Meeting, (2025).

Vikas Patel, Brian Baker-McEvilly, David Canales and Sirani M. Perera, Realignment Technique on a Low-Complexity Algorithm for Orbit Prediction in the Circular Restricted Three-Body Problem, the proceedings of the 2025 AIAA SciTech, AIAA 2025-2431, (2025).

Brian Baker-McEvilly, Hansaka Aluvihare, Sirani M. Perera, and David Canales, A Reduced-Complexity Trajectory Generation Algorithm for Three-Body Regimes With Minimum Predefined Data, The IEEE Transactions on Aerospace and Electronic Systems:1-15, (2024).

Levi E. Lingsch, Mike Yan Michelis, Emmanuel De Bezenac, Sirani M. Perera, Robert K. Katzschmann, Siddhartha Mishra, Beyond Regular Grids: Fourier-Based Neural Operators on Arbitrary Domains, the proceedings of the International Conference on Machine Learning, PMLR 235: 30610-30629, (2024).

Hansaka Aluvihare, Carina Shanahan, Sirani M. Perera,  Sivakumar Sivasankar, Umesha Kumarasiri, Arjuna Madanayake, and Xianqi Li, A Low-Complexity LSTM Network to Realize Multibeam Beamforming, the proceedings of 2024 IEEE International Conference on Wireless for Space and Extreme Environments (WiSEE), (2024).

Sirani M. Perera and Arjuna Madanayake, Wideband Digital N−Beam Delay-Sum Apertures at O(N) Complexity: Towards 64 GS/s 8-Beams on Intel Agilex-9 Direct-RF Chiplets, the proceedings of 2024 IEEE International Conference on RFID Technology and Applications (RFID-TA), (2024).

Sirani M. Perera, Gayani Rathnasekara, and Arjuna Madanayake, Thiran Filters For Wideband DSP-Based Multi-Beam True Time Delay RF Sensing Applications, Sensors 24(2), 576, (2024).

Rodman J. Myers, Sirani M. Perera, Grace McLewee, David Huang, and Houbing Song, Multi-beam beamforming based ML Algorithm to Optimize the Routing of Drone Swarms, Drones 8(2), 57, (2024). 

David Canales, Sirani M. Perera, Atahan Kurttisi, and Brian Baker-McEvilly, A Low-Complexity Algorithm to Determine Trajectories within the Circular Restricted Three-Body Problem, The Journal of the Astronautical Sciences, 70(46), (2023).

Atahan Kurttisi,  Sirani M. Perera, and Merve Dogan, An Efficient Algorithm to Determine Polynomial Trajectories and Adaptive Nonlinear Dynamical Inversion Control of a Quadcopter, the proceedings of the American Institute of Aeronautics and Astronautics SciTech Forum, (2023).

David Canales, Sirani M. Perera, Troy Henderson,  Atahan Kurttisi,  and Brian Baker-McEvilly,  Low-complexity algorithms to determine motion in the circular restricted three-body problem, the proceedings of the AAS/AIAA 33rd Space Flight Mechanics Meeting, (2023).

Aryslan Malik,  Sirani M. Perera, and Troy Henderson,  An Efficient Quintic Time Scaling End-Effector Trajectory Generation Algorithm for a Servicing Robotic Arm, the proceedings of the American Institute of Aeronautics and Astronautics SciTech Forum, (2023).

Sirani M. Perera, Levi Lingsch, Arjuna Madanayake, Soumyajit Mandal, and Nicola Mastronardi, A Fast DVM Algorithm for Wideband Time-Delay Multi-Beam Beamformers, the IEEE Transactions on Signal Processing (70): 5913-5925, (2022).

Sirani M. Perera, Rodman J. Myers, Killian Sullivan, Kyle Byassee, Houbing Song, and Arjuna Madanayake, Integrating Communication and Sensor Arrays to Model and Navigate Autonomous Unmanned Aerial Systems, Electronics 11(19), (2022).

Sirani M. Perera and Levi Lingsch, Sparse Matrix based Low-complexity, Recursive, and Radix-2 Algorithms for Discrete Sine Transforms, IEEE Access 9:141181-141198, (2021).

Diego F. G. Coelho, Renato Cintra, Arjuna Madanayake, and Sirani M. Perera, Low-Complexity Scaling Methods for DCT-II Approximation, the IEEE Transactions on Signal Processing 69: 4557-4566,  (2021).

Sirani M. Perera, Arjuna Madanayake, Austin Ogle, Daniel Silverio, and Jacky Qi, A Fast Algorithm to Solve Delay Vandermonde Systems in Phased-Array Digital Receivers, the IEEE Transaction on Aerospace and Electronic Systems 57(4): 2288-2297, (2021).

Sravan Pulipati, Viduneth Ariyarathne, Sirani M. Perera, Chamith Wijenayake, Leonid Belostotski, and Arjuna Madanayake, Digital Uncoupling of Coupled Multi-Beam Arrays, Antenna and Array Technologies for Modern Smart Radar, IEEE Applied Computational Electromagnetic Society, (2021).

Sirani M. Perera, Arjuna Madanayake and Renato Cintra, Radix-2 Self-recursive Algorithms for Vandermonde-type Matrices and True-Time-Delay Multi-Beam Antenna Arrays, IEEE Access 8: 25498-25508, (2020). 

Sirani M. Perera, Arjuna Madanayake and Renato Cintra, Efficient and Self-Recursive Delay Vandermonde Algorithm for Multi-beam Antenna Arrays, IEEE Open Journal of Signal Processing 1:64-76, (2020). 

Sirani M. Perera and Jianhua Liu, Complexity Reduction, Self/Completely Recursive, Radix-2 DCT I/IV Algorithms, Elsevier Journal of Computational Applied Mathematics, 379, 112936: 1-16 (2020).

Sirani M. Perera, Daniel Silverio, and Austin Ogle, Efficient Split-Radix and Radix-4 DCT Algorithms and Applications, In Kotsireas I., Pardalos P., Parsopoulos K., Souravlias D., Tsokas A. (eds), Analysis of Experimental Algorithms. SEA 2019. Lecture Notes in Computer Science: 11544:184-201, Springer, (2019).

Sirani M. Perera, Arjuna Madanayake, Nathan Dornback, and Nilan Udayanga, Design and Digital Implementation of Fast and Recursive DCT II-IV Algorithms, Circuits, System, and Signal Processing 38(2): 529-555, (2019) DOI information: 10.1007/s00034-018-0891-8.

Sirani M. Perera and Jianhua Liu, Lowest Complexity Self Recursive Radix-2 DCT II/III Algorithms, SIAM J. Matrix Analysis and Applications 39(2): 664-682, (2018).

Sirani M. Perera, Signal Flow Graph Approach to Efficient and Forward Stable DST Algorithms, Linear Algebra and Its Applications 542: 360-390, (2018), DOI information: 10.1016/j.laa.2017.05.050.

Sirani M. Perera, Viduneth Ariyarathna, Nilan Udayanga, Arjuna Madanayake, Ge Wu, Leonid Belostotski, Yingying Wang, Soumyajit Mandal, Renato J. Cintra, and Theodore S. Rappaport, Wideband N-beam Arrays with Low-Complexity Algorithms and Mixed-Signal Integrated Circuits, IEEE Journal of Selected Topics in Signal Processing 12(2): 368-382, (2018).

Viduneth Ariyarathna, Nilan Udayanga, Arjuna Madanayake, Sirani M. Perera, Leonid Belostotski, and Renato J Cintra, Design methodology of an analog 9-beam squint-free wideband IF multi-beamformer for mmW applications, In: Proceedings of IEEE 2017 Moratuwa Engineering Research Conference (MERCon): 236-241, IEEE, (2017).

Hong Liu, Sirani M. Perera and Jerry Klein, Using Model-based Learning to Promote Computational Thinking Education, In: P. Rich, C. Hodges (Eds.): Emerging Research, Practice, and Policy on Computational Thinking, Springer Series: Educational Communications and Technology: 153-172, Springer, (2017), DOI information: 10.1007/978-3-319-52691-1_10.

Sunethra Weerakoon and Sirani M. Perera (Eds.), Present Status and the Way Forward for Public Universities in Sri Lanka, ISBN: 978-955-7280-00-4, Vidya Publishers (Pvt.) Ltd., Sri Lanka, (2017).

Sirani M. Perera and Vadim Olshevsky, A Fast Schur-Euclid-type Algorithm for Quasiseparable Polynomials, In: I. S. Kotsireas and E. Martinez-Moro (Eds.): Springer Proceedings in Mathematics and Statistics vol. 198: 341-383, Springer, (2017). 

Sirani M. Perera, Signal Processing based on Stable radix-2 DCT I-IV Algorithms having Orthogonal Factors, Electronic Journal of Linear Algebra vol. 31: 362-380, (2016).

Sirani M. Perera and Vadim Olshevsky, Fast and Stable Algorithms for Discrete Sine Transformations having Orthogonal Factors, In: M. Cojocaru, I. S. Kotsireas, R. Makarov, R. Melnik, and H. Shodiev (Eds.): Interdisciplinary Topics in Applied Mathematics, Modeling and Computational Science, vol. 117: 347-354, Springer, (2015).

Sirani M. Perera, Grigory Bonik, and Vadim Olshevsky, A Fast Algorithm for the Inversion of Quasiseparable Vandermonde-like Matrices, e-print in Cornell University Library, arXiv:1401.1874[math.NA], (2014)

Sirani M. Perera and Vadim Olshevsky, Stable, Recursive and Fast Algorithms for DST having Orthogonal Factors, Journal of Coupled Systems Multiscale Dynamics vol. 1(3): 358-371, (2013).

Sirani M. Perera, Quasiseparable Approach to Matrices of Vandermonde Type, Thesis, University of Connecticut, ProQuest Publication, Ann Arbor, USA, (2012), 207 pages, UMI Number 3533908;
Adviser: Vadim Olshevsky.

In Media

Thilaksiri Bandara and Sirani M. Perera, Importance of Convergence in Research and Addressing the Objectives of the "Symposium on Interlacing Engineering Research", Siyatha Television Broadcast, Feb 22, 2023,  https://www.youtube.com/watch?v=KTBHbLA9pcU

Hong Liu and  Sirani M. Perera, Eagles Earn Federal Funding To Bolster Data Science Education, ERAU News, Oct 31, 2022, https://news.erau.edu/headlines/eagles-earn-federal-funding-to-bolster-data-science-education

Sirani M. Perera, Math Professor Receives NSF Funding to Advance Wireless Communications Research, ERAU News, Oct 3 2022, https://news.erau.edu/headlines/math-professor-receives-nsf-funding-to-advance-wireless-communications-research

Troy Henderson, Riccardo Bevilacqua, Sirani M. Perera, Kshitij Khare, Hyperspace Challenge (a competition soliciting technologies to solve space-related problems), ERAU News, Oct 8 (2021), https://news.erau.edu/headlines/embry-riddle-one-of-11-universities-globally-selected-for-us-space-force-challenge  

Sirani M. Perera, SL needs more institutions akin to SAITM, Daily News Newspaper, Sri Lanka, March 27 (2017), http://dailynews.lk/2017/03/28/business/111536/sl-needs-more-institutions-akin-saitm

Sirani M. Perera and Sunethra Weerakoon, The International Industrial Mathematics Conference, Coffee Table, Independent Television Network(ITN) Broadcast, Sri Lanka, June 1 (2016),  http://www.itntv.lk/2016/06/01/coffee-table-2016-06-01/

Sirani M. Perera, Co-Chair of The International Industrial Mathematics Conference: 

Savidu Newsletter 2(2): 1, 30-33, August (2016), http://dr.lib.sjp.ac.lk/bitstream/handle/123456789/3717/Savidu%202016%20-%20Volume%2002%20Issue%2002.pdf?sequence=1&isAllowed=y

Dinamina Newspaper, Sri Lanka, June 6 (2016), http://epaper.dinamina.lk/art.asp?id=2016/06/06/pg11_0&pt=p&h 

Colombo Telegraph, Sri Lanka, June 5 (2016), https://www.colombotelegraph.com/index.php/ranil-wickremesinghejune-5-2016/

ITN News, Sri Lanka, June 4 (2016), http://www.itnnews.lk/video-archive/itn-news-2016-06-04-07-00pm/ 

Prime Minister's Official Website, Sri Lanka, June 4 (2016), http://www.pmoffice.gov.lk/news-list.php?tpages=87&page=68 

Aug 2021 - To date, Associate Professor in Mathematics, Embry-Riddle Aeronautical University, USA

Jan 2023 - May 2023, Junior Consultant, Faculty of Engineering, University of Sri Jayewardenepura, Sri Lanka

Oct 2022, Visiting Scholar, Department of Mathematics, University of Northern Iowa, USA

Oct 2022, Visiting Scholar, Department of Physics and Computer Science, Wilfrid Laurier University, Canada

Aug 2015 - July 2021, Assistant Professor in Mathematics, Embry-Riddle Aeronautical University, USA

Aug 2012 - July 2015, Associate Professor in Mathematics, Daytona State College, USA

Aug 2008 - May 2012, Teaching Assistant in Mathematics, University of Connecticut, USA 

Feb 2007 - Jul 2008, Lecturer in Mathematics, University of Colombo, Sri Lanka

Nov 2007 - Jul 2008, Visiting Lecturer in Mathematics, Asia Pacific Institute of Information Technology (APIIT), Sri Lanka 

Feb 2005 - Sep 2005, Lecturer in Mathematics, University of Sri Jayewardenepura, Sri Lanka

Feb 2004 - Jan 2005, Instructor in Mathematics, University of Sri Jayewardenepura, Sri Lanka

Chair of the Data Science and Machine Learning sessions at the NSF Division of Mathematical Sciences (DMS) Computational Mathematics Meeting held at the University of Utah, USA, 2025.

Co-Chair of the mini symposiums on Utilizing Structure to Achieve Low-complexity Algorithms for Data Science, Engineering, and Physics at the 26th Conference of the International Linear Algebra Society, National Sun Yat-sen University, Taiwan, 2025 (with Natalia Bebianos) .

Co-Chair of the mini symposiums on Low-complexity Algorithmic and Data-driven Approaches in Scientific Computing and Engineering at the SIAM Conference on Computational Science and Engineering, USA, 2025 (with Xianqi Li) .

Outstanding Advisor for Student Involvement Award, Society of Asian Scientists and Engineers, Embry-Riddle Aeronautical University, USA, 2024-2025.

Local Organizer of the Annual Joint Mathematical Association of America-Florida Section and FTYCMA, Embry-Riddle Aeronautical University, USA, 2024-2025.

Member of the College of Arts and Sciences Research Council, Embry-Riddle Aeronautical University, 2024 - To date.

Co-Chair of the Minisymposium: Structured Matrices Approach in Low-complexity Algorithms and Applications  at the SIAM Conference on Applied Linear Algebra, Sorbonne University, France, 2024 (with Natalia Bebianos).

Organizer of the Ninth Exchange of Mathematical Ideas Conference, University of Northern Iowa, 2023.

Organizer of the Math Colloquium Series, Embry-Riddle Aeronautical University, 2023 – To date.

Scientific Committee Member of the Symposium on Interlacing Engineering Research, Faculty of Engineering, University of Sri Jayewardenepura, Sri Lanka, 2023.

Co-Chair of the Minisymposium: Numerical Linear Algebra Applications in Data Science at the 25th Conference of the International Linear Algebra Society, Madrid, Spain, 2023 (with James G. Nagy)

Co-Chair of the Minisymposium: State-of-the-art in Algorithms and Applications at the 25th Conference of the International Linear Algebra Society, Madrid, Spain, 2023 (with Natalia Bebiano)

Co-Adviser of the Society of Asian Scientists and Engineers, Embry-Riddle Aeronautical University, USA, 2021 - To date

Course Monitor of MA532:Numerical Linear Algebra for Engineers subject, Embry-Riddle Aeronautical University, USA,  2020 - To date

Plenary Speaker of the Special Event on Analysis of Experimental Algorithms, Kalamata, Greece, 2019

Member of the Research Committee, Embry-Riddle Aeronautical University, USA, 2019 - 2022

Initiator in designing a curriculum for the course Numerical Linear Algebra for Engineers, Embry-Riddle Aeronautical University, USA, 2019 

Initiator in designing a curriculum for the course Data Compression for Image and Signal Processing, Embry-Riddle Aeronautical University, USA, 2019 

Moderator of the Plenary Talk entitled Modeling Zika at the 39th Southeastern Atlantic Regional Conference on Differential Equations, Embry-Riddle Aeronautical University, USA, 2019

Chair of Sessions IV/V at the 39th Southeastern Atlantic Regional Conference on Differential Equations, Embry-Riddle Aeronautical University, USA, 2019

Member of the Organizing Committee at the 39th Southeastern Atlantic Regional Conference on Differential Equations, Embry-Riddle Aeronautical University, USA, 2019

Member of the Search Committee in Data Science, department of mathematics, Embry-Riddle Aeronautical University, USA, 2018 - 2022

Member of the Curriculum Committee, department of mathematics, Embry-Riddle Aeronautical University, USA, 2018 - 2022, 2023-2024

Member of the Academic Computing Committee, Embry-Riddle Aeronautical University, USA, 2018 -  2021

Member of the International Linear Algebra Society, 2017 – 2030

Adviser of the Kappa Mu Epsilon (Mathematics Honor Society), Embry-Riddle Aeronautical University, USA,  2017 - To date

Co-Adviser of the SIAM Student Chapter, Embry-Riddle Aeronautical University, USA,  2016 -  2018

Member of the Graduate Program Committee in Data Science, department of mathematics, Embry-Riddle Aeronautical University, USA, 2017 - To date

Course Monitor of MA432:Linear Algebra subject, Embry-Riddle Aeronautical University, USA,  2017 - To date

Co-Adviser of the SeaPearch Competition, Embry-Riddle Aeronautical University, USA, 2017

Chair of Session II-C at the 36th South Eastern Atlantic Regional Conference on Differential Equations, Florida Gulf Coast University, USA, 2016

Co-Chair of The International Industrial Mathematics Conference, University of Sri Jayewardenepura, Sri Lanka, 2016

Chair of the Contributed Session III at the 39th Annual SIAM Southeastern Atlantic Section Conference, University of Alabama, USA, 2015

STEM Mentor for the Spring 2015 cohort of the STEM Community Scholars Program, NSF Award at Daytona State College, USA, 2015

Member of the Society of Industrial and Applied Mathematics, 2015 - To date

Organizer of the Mathematics Faculty Seminar, Daytona State College, USA, 2014 - 2015

Faculty Representative of the Instructional Program Review Committee, Daytona State College, USA, 2014 - 2015

In Charge of Creating Survey in Mathematics Course, Daytona State College, USA, 2014

Chair of the Numerical Methods Session, 37th Annual SIAM Southeastern Atlantic Section Conference, Oak Ridge National Laboratory and the University of Tennessee-Knoxville, USA, 2013

Teaching Assistant Mentor at the Department of Mathematics, University of Connecticut, USA, 2009 - 2012

Member of the American Mathematical Society, 2009 - To date

Chief Coordinator of the Sri Lankan Mathematics Olympiad Awards Ceremony, Sri Lanka, 2007

Coordinator of the Sri Lankan Mathematics Olympiad Competition, Sri Lanka, 2007

Lead-PI of the award entitled Collaborative Research: Data-driven Realization of State-space Dynamical Systems via Low-complexity Algorithms, the Division of Mathematical Sciences (DMS), the National Science Foundation (award number 2410676), USA, Aug 2024-July 2027 (Collaborative PIs: Kshitij Khare at UF with the award number 2410677, Aaron Welters and Xianqi Li at FIT, with the award number 2410678)

A Rising Star in Science honored by the Academy of Science, Engineering, and Medicine in Florida (ASEMFL) for 2024, I was the sole-selected presenter in the Science category by the ASEMFL. My presentation was on Efficient Solutions for Real-World Challenges: Low-Complexity Algorithms in Applied Linear Algebra for Engineering and Data Science.​ 

Outstanding Publication Award by the College of Arts and Sciences, Embry-Riddle Aeronautical University, 2024-2025. 

Co-PI of the award entitled Chips Ahoy: Analog-Digital Chiplets for O(n) FFT Multi-Beam Apertures, awarded by the Office of Naval Research with number GRANT14064684, USA, 2024-2025 (the lead PI is Arjuna Madanayake from FIU)

Research and Scholarly Excellence Award by the College of Arts and Sciences, Embry-Riddle Aeronautical University, 2023-2024. 

PI of the award entitled Collaborative Research: SWIFT: AI-based Sensing for Improved Resiliency via Spectral Adaptation with Lifelong Learning, the Division of Electrical, Communications, and Cyber Systems(ECCS), the National Science Foundation (award number 2229473), USA, Jan 2023-Dec 2025 (Co-PI: Houbing Song at UMBC, lead PI: Arjuna Madanayake at FIU with the award number 2229471, and PI: Francesco Restuccia at NEU with the award number  2229472) 

PI of the Faculty Innovative Research in Science and Technology Grant entitled Low-cost Encoding and Decoding Architecture at Embry-Riddle Aeronautical University, USA, 2023-2024 (Co-PI: Angelynn Alvarez)

Convergence Research (CORE) Fellow at the CORE Institute, The University of California San Diego: Convergence Accelerator Program, the National Science Foundation, 2023

Co-PI of the award entitled Distributed Learning for Undergraduate Programs in Data Science at Diverse Universities, the Division of Undergraduate Education, the National Science Foundation (award number 2142514), USA, Oct 2022-Dec 2025, (the lead institution being ERAU with the lead PI: Hong Liu, and other two clusters at Florida A & M University with PI Dr. Clement G. Yedjou - NSF award number 2142465 and the University of North Texas with PI: Dr. Michael J. Spector - NSF award number 2142327)

Co-PI of the award entitled Exchange of Mathematical Ideas Conference 2023, the Division of Mathematical Sciences (DMS), the National Science Foundation (award number 2322922), USA, May 2023-May 2024 (PI: Douglas Mupasiri at UNI, Co-PI: Michael Prophet at UNI, and Co-PI: Hisaya Tsutsui at ERAU) 

Mentor and Senior Personnel of the award entitled REU Site: Swarms of Unmanned Aircraft Systems in the Age of AI/Machine Learning, the Division of Computer and Network Systems(CNS), the National Science Foundation (award number 2150213), USA, 2022-2025 (PI: Houbing Song)

Inventor of the Patent (Number 10,904,573) entitled Reduced Multiplicative Complexity Discrete Cosine Transform (DCT) Circuitry by the USPTO, Jan 26, 2021   

Co-PI of the award entitled Collaborative Research: Wideband Multi-Beam Antenna Arrays: Low-Complexity Algorithms and Analog-CMOS Implementations, the Division of Electrical, Communications, and Cyber Systems(ECCS), the National Science Foundation (award numbers 1902283, 1711625, and 1826632), USA, 2017-2023 (PI: Arjuna Madanayake)

PI of the Faculty Innovative Research in Science and Technology Grant entitled Novel Efficient and Stable Algorithms for Ionospheric Simulations at Embry-Riddle Aeronautical University, USA, 2020-2021 (Co-PI: Matthew Zettergren)

PI of the Faculty Innovative Research in Science and Technology Grant entitled Fast, Exact, Amalgam, and Stable Transforms to Convert Analog to Digital Signals at Embry-Riddle Aeronautical University, USA, 2019-2020

Co-PI of the Faculty Innovative Research in Science and Technology Grant entitled Transformations Preserving Entangled States at Embry-Riddle Aeronautical University, USA, 2017-2018 (PI: Edward Poon)

Awardee of the Early Career Travel Grant, the 20th Conference of the International Linear Algebra Society, Belgium, 2016

PI of the Faculty Innovative Research in Science and Technology Grant entitled Signal and Image Novel Exploration on Fast and Stable Transforms at Embry-Riddle Aeronautical University, USA, 2016-2017 (Co-PI: Jianhua Liu)

Awardee of the Faculty Research Development Awards, Embry-Riddle Aeronautical University, USA, 2015-2016 and 2016-2017

Nominee of the Outstanding Junior Research Faculty at Daytona State College, USA, 2013-2015

Awardee of Travel Grant, the Laurier Center for Women in Science, Canada, 2013

Awardee of the Advanced Doctoral Fellowship in Mathematics, the University of Connecticut, USA, 2012

Awardee of the Doctoral Dissertation Fellowship in Mathematics, the University of Connecticut, USA, 2012

Awardee of the Doctoral Travel Grant, the University of Connecticut, USA, 2012

Awardee of the Summer Predoctoral Fellowship in Mathematics, the University of Connecticut, USA, 2010

Awardee of the Industrial Research Scholarship, City University London, UK, 2008

Awardee of the Shell Centenary Scholarship, Cambridge Commonwealth Trust, the University of Cambridge, UK, 2005-2006

Awardee of the Chevening Colors for Outstanding Undergraduate in Mathematics, British Council, Sri Lanka, 2005

Recognition for the Top Most Number of A's in Mathematics in 98/99 batch, Faculty of Applied Sciences, University of Sri Jayewardenepura, Sri Lanka, 1999 - 2004

Recognition for the Highest GPA in Chemistry in 98/99 batch, Faculty of Applied Sciences, University of Sri Jayewardenepura, Sri Lanka, 1999 - 2003

​Research Students' Achievements 

Hansaka Aluvihare graduated with a Master's degree in Data Science at Embry‑Riddle Aeronautical University, USA, in 2025. The research concentration is Structured Neural Networks for Wireless Communication Systems.

Hansaka Aluvihare was selected as the Outstanding Graduate Student in Data Science Master’s Degree Program within the academic year 2024-2025, ERAU.

Kaitlyn Cavanaugh was selected as the Outstanding Undergraduate Student in Computational Mathematics Program within the academic year 2024-2025, ERAU.

Hansaka Aluvihare presented at the International Linear Algebra Society (ILAS) Conference titled A Low-complexity LSTM Network to Realize Multibeam Beamforming, National Sun Yat-sen University, Taiwan, 2025 (with full travel funds).

Kaitlyn Cavanaugh and Krystian Stefanov presented at the Undergraduate Research Council titled An Efficient and Data-driven Learning Algorithm to Evaluate Facial Recognition, USA, 2025 (with full travel funds).

Hansaka Aluvihare, Oshani Jayawardane, and  Brady Heddon  presented at the Annual Joint Mathematical Association of America-Florida Section and FTYCMA, ERAU, USA, 2025 (talks are given on “A Low-complexity Structured Neural Networks Approach in Multibeam Beamforming”, “A Low-complexity Hybrid Learning to Decode Algebraic Codes Over a Finite Field”, and “A Low-complexity Image Recognition and Classification Algorithms”).

Brian Baker-McEvilly graduated with a Master's degree in Aerospace Engineering at Embry-Riddle Aeronautical University, USA, in 2024. The thesis title is A Low-complexity Algorithm for Trajectory Generation in the Three-body Problem.  (joint supervision with David Canales).

Atahan Kurttisi graduated with a PhD in Aerospace Engineering at Embry-Riddle Aeronautical University, USA, in 2024. The thesis title is Trustable Adaptive Controllers for Multi-Agent Systems with Actuator Dynamics.  (joint supervision with Merve Dorgan)

Christopher Hays graduated with a PhD in Aerospace Engineering at Embry-Riddle Aeronautical University, USA, in 2024. The thesis title is State Omniscience for Cooperative Local Catalog Maintenance of Close Proximity Satellite Systems.  (joint supervision with Troy Henderson)

Daniel Posada graduated with a PhD in Aerospace Engineering at Embry-Riddle Aeronautical University, USA, in 2024. The thesis title is A Set of Machine Learning Tools for Hazard Relative Navigation, Mapping, and Planetary Landing.  (joint supervision with Troy Henderson)

Matthew Gillette graduated with a Master's degree in Aerospace Engineering at Embry-Riddle Aeronautical University, USA, in 2023. The thesis title is Optical Orbit Tracking and Estimation.  (joint supervision with Troy Henderson)

Jose Gonzalez and Kelly LaRose were selected to present on Low-complexity Algorithms to Solve Partial Differential Equations at Mathematical Association of America (MAA), Berry College, USA, 2022

Jose Gonzalez and Kelly LaRose obtained Internal Student Research Award, Embry-Riddle Aeronautical University, USA, 2021-2022

Mason Gawler was selected as an Outstanding Student in Computational Mathematics with the Shiv Aggarwal Award, Department of Mathematics, Embry-Riddle Aeronautical University, USA, 2020-2021

Levi Lingsch is a graduate student in computational mathematics and engineering at ETH Zurich, Switzerland, from fall 2021 

Levi Lingsch was selected as a system engineering intern at Sierra Nevada Corp, USA, 2021

Austin Ogle was selected as the Research Fulbright Scholar at the Space Technology Research Group in Kazakhstan, 2021

Austin Ogle graduated with a Master's degree in Engineering Physics at Embry-Riddle Aeronautical University, USA, in 2020. The Thesis title is Python Implementation of Batch Least-Squares Filter for Satellite Orbit Determination.  (joint supervision with Stephen Gillam)

Austin Ogle was selected as the 2019 Research Scholar, Embry-Riddle Aeronautical University, USA, 2019

Daniel Silverio and Austin Ogle obtained Internal Student Research Award, Embry-Riddle Aeronautical University, USA, 2018-2019

Austin Ogle and Daniel Silverio obtained Internal Student Research Award, Embry-Riddle Aeronautical University, USA, 2017-2018

Genesis Vargas was selected to present on Quasiseparable Approach to Evaluate Cubic Splines via A Fast and Stable Algorithm at the COAS Industry Advisory Board Meeting, Embry-Riddle Aeronautical University, USA, 2017 and 2018

 Austin Ogle obtained First Place at Discovery Day Award, Embry-Riddle Aeronautical University, USA, 2017

 Austin Ogle obtained ASPiRE Conference Funds, Florida Gulf Coast University, USA, 2017

 Patrick Rupp, Genesis Vargas, and Dylan English obtained Spark Funds, Embry-Riddle Aeronautical University, USA, 2017