Grants / awards received
National Science Foundation (grant number: DMS-2418826), “LEAPS-MPS: Hadamard Deep Autoencoders and Alternating Directional Methods of Multipliers for Manifold Learning Enabled Distance Preserving Matrix Completion”. $249,926. PI: Kelum Gajamannage. (Sep. 2024 – Aug. 2026 )
Startup funds for a two-year postdoctoral research associate, Texas A&M University – Corpus Christi. $100, 000. (Aug. 2020 – July 2022 )
Google Cloud Platform Research Credit (project number: 397744870419), “Reconstruction of Agents’ Corrupted Trajectories of Collective Motion Using Neural Networks”. 15,210 GPU hours and 15,210 CPU hours from Google Compute Engine. PI: Kelum Gajamannage. (Oct. 2020 – Dec. 2021)
College-level Faculty Research Enhancement Grant, Texas A&M University – Corpus Christi. “Machine Learning Methods for Geophysical Subsurface Applications”. PI: Mallikarjunaiah Muddamallappa and Co-PI: Kelum Gajamannage. (Nov. 2019 – Aug. 2020)
National Science Foundation (request number: DMS180007), “Nonlinear Dimensionality Reduction With the Aid of Large-scale Matrix Completion”. 50,000 CPU hours from the XSEDE resource Jetstream. PI: Kelum Gajamannage. (Jan. 2018 – Jan. 2020)
A travel grant of $1077 received from Worcester Polytechnic Institute to attend the 2018 SIAM Annual Meeting, Portland, OR, USA. (July 2018)
A travel grant of $1552 received from Worcester Polytechnic Institute to attend the 2017 SIAM Annual Meeting, Pittsburgh, PA, USA. (July 2017)
A travel grant of $1144 received from Worcester Polytechnic Institute to attend the SIAM Conference on Applications of Dynamical Systems 2017, Snowbird, UT, USA. (May 2017)
A grant received from Clarkson University to attend Teaching Effectiveness Conference 2015, State University of New York, Potsdam, NY, USA. (Oct. 24, 2015)
A travel grant received from Cornell University to attend the 4th New York Conference on Applied Mathematics, NY, USA. (Nov. 2013)
Grants in review
National Institute of Health - R21 (tracking number: GRANT14166873), “Empowering Healthcare: AI-driven Innovation in Early Breast Cancer Detection for Informed Clinical Decision-Making”, $3,348,060, PI: Sunil Mathur, Co-PI: Kelum Gajamannage, Co-Is: Jenny Chang, Stephen Jones, Kai Sun, Kelvin Wong. June 5, 2024.
Recognition received
Honor B.S. degree in Mathematics with a second class upper division, University of Peradeniya, Sri Lanka. (May 2007)
Research associates
Sulani Vidhanalage (Ph.D., Florida Atlantic University), Nicholls State University, Department of Mathematics, Thibodaux, LA, USA. Research title: Cryptoanalysis with Neural Network and Bayesian Optimization. (Jan. 15,. 2025 - To date)
Advising postdocs
Yonggi Park (Ph.D., Kent State University), Department of Mathematics & Statistics, Texas A&M University, Corpus Christi, TX, USA. - Research title: Machine Learning Applications in Image Processing and Dynamical Systems. (Aug. 2020 - July 2022)
Advising graduate students
Priscilla Kissi-Appiah, Ph.D. in Statistics, Department of Computer Science and Statistics, University of Rhode Island, Kingston, RI, USA. Research title: Medical Imaging-Based Disease Prognosis with a Family of Neural Network Methods Integrating Data Balancing and Bayesian Optimization. (Aug. 2024 – To date)
Andres Torres, Ph.D. in Statistics, Department of Computer Science and Statistics, University of Rhode Island, Kingston, RI, USA. Research title: Real-time Prognostic Health Management Using One-to-Many Long Short-Term Memory with Empirical Mode Decomposition. (Aug. 2024 – To date)
Joseph Quigley, MS in Mathematics, Department of Mathematics & Statistics, Texas A&M University, Corpus Christi, TX, USA. Thesis title: Detection of Adversarial Attacks with Steganographic Watermarking and Adversarial Image Retrieval with Multimodal Image Synthesis. (Aug. 2022 – to date)
Mary Isang, MS in Statistics, Department of Mathematics & Statistics, Texas A&M University, Corpus Christi, TX, USA. Thesis title: Fraud Detection Using Optimized Machine Learning Classification Tools Under Imbalanced Classes. eCopy: https://tamucc-ir.tdl.org/items/f7ce0d61-a2b5-41dd-b359-1f6bc31638d3 (Aug. 2021 - Aug. 2023)
Rolando Ramos, MS in Mathematics, Department of Mathematics & Statistics, Texas A&M University, Corpus Christi, TX, USA. Thesis title: A Robust 3D-Tensor Completion Method with Entry-Wise Bounds. eCopy: https://www.proquest.com/dissertations-theses/robust-3d-tensor-completion-method-with-entry/docview/2545559494/se-2?accountid=7084 (Aug. 2019– May 2021)
Mentoring graduate students
Julianna Sims, MS in Mathematics, Department of Mathematics and Applied Mathematical Sciences, University of Rhode Island, Kingston, RI, USA. Research title: Real-time Prognostic Health Management Using SARIMA and ARIMA with Empirical Model Decomposition. (Aug. 2023 – July 2024)
John Herrmann, MS in Mathematics, Department of Mathematics and Applied Mathematical Sciences, University of Rhode Island, Kingston, RI, USA. Research title: Tensor Completion Aided Color Image Restoration. (Aug. 2023 – July 2024)
Elnaz Abbasifar, MS in Advanced Information Systems, Tehran-Iran Payame Noor University. Research title: Graph Neural Network Aided Disease Diagnosis (July 2025 - to date)
Nasla Saleem. (Aug. 2020 - Dec. 2020)
Nitish Bahadur, Ph.D. in Data Science, Department of Data Science, Worcester Polytechnic Institute, MA, USA. (Aug. 2016– Jan. 2018)
Chen Zou, MS in Data Science, Department of Data Science, Worcester Polytechnic Institute, MA, USA. (Aug. 2016– May. 2017)
Mentoring undergraduate students
Jolaife Adenugba, BS in Data Science, University of Rhode Island, Kingston, RI, USA. Research title: Medical Imaging-Based Disease Prognosis with a Family of Neural Network Methods Integrating Data Balancing and Bayesian Optimization. (Jan. 15, 2025 – to date)
Rachel Yendluri, BS in Data Science, University of Rhode Island, Kingston, RI, USA. Research title: Decrease Diagnosis Using Optimized Machine Learning Classification Tools Under Imbalanced Classes. (May 20, 2024 – May 16, 2025)
Elliyas Delaire, BS in Data Science, University of Rhode Island, Kingston, RI, USA. Research title: Artificial Intelligence Aided Sport Predictions with Bayesian Optimization. (May 20 – Aug. 15, 2025)
Kye Powell, majored in Physics, Department of Mathematics & Statistics, Texas A&M University, Corpus Christi, TX, USA. Research title: Noise Reduction of Astronomy Images Using Low-rank Matrix Completion. (Aug. 2019 –Dec. 2019)
University-wide services
Member: Data Science Undergraduate Committee, University of Rhode Island, RI, USA. (Sep. 1, 2023 − to date)
Member: Data Science Graduate Committee, University of Rhode Island, RI, USA. (Sep. 1, 2023 − to date)
Member: Data Science Undergraduate Committee, University of Rhode Island, RI, USA. (Sep. 1, 2023 − to date)
Member: Library Committee, Texas A&M University, Corpus Christi, TX, USA. (Sep. 24, 2019− July 30, 2023)
Judge: Poster competition, WPI Graduate Research Innovation Exchange, WPI, Worcester, MA, USA. (Feb. 7, 2019)
Judge: Poster competition, WPI Graduate Research Innovation Exchange, WPI, Worcester, MA, USA. (April 24, 2018)
Faculty Board Member, Faculty of Science and Technology, Uva Wellassa University, Sri Lanka. (April 2009− Aug. 2011)
Departmental services
Faculty Search Committee Member for the Data Science position in 2023, 2022, and 2021. Texas A&M University, Corpus Christi, TX, USA.
Member: Data Science MS Development Committee. Texas A&M University, Corpus Christi, TX, USA. (Aug. 20, 2022 − July 30, 2023 )
Member: Mathematics Major/Minor Committee. Texas A&M University, Corpus Christi, TX, USA. (Aug. 20, 2022 − July 30, 2023 )
Member: Data Science Education for Undergraduates Initiative Committee, Texas A&M University, Corpus Christi, TX, USA. (Sep. 25, 2019 − July 30, 2022)
Member: Data Science MS Development Committee, Texas A&M University, Corpus Christi, TX, USA. (Sep. 25, 2019 − July 30, 2022)
Member: Data Science Ph.D. Development Committee, Texas A&M University, Corpus Christi, TX, USA. (Sep. 25, 2019 − July 30, 2022)
Faculty Search Committee Member for the Data Science position in 2022 and 2021
Grader: 31st Annual Math Meet, WPI, Worcester, MA, USA. (Oct. 16, 2018)
Instructor for Calculus IV: 2018 WPI Pre-orientation Academic Sessions for the Connections Students, Worcester, MA, USA. (Aug. 13, 2018− Aug. 17, 2018)
Course Committee Member in Mathematics, Department of Science and Technology, Faculty of Science and Technology, Uva Wellassa University, Sri Lanka. (April 2009− Aug. 2011)
Administrative services
Session chair: Algorithms and Encodings Session, The Third Joint SIAM/CAIMS Annual Meetings , Montréal, Québec, Canada. (July 30, 2025)
Organizing committee: The 6-th Coastal Bend Mathematics & Statistics Conference 2022, Corpus Christi, TX, USA. (April 09, 2022)
Session Chair: Session 4, The 6-th Coastal Bend Mathematics & Statistics Conference 2022, Corpus Christi, TX, USA. (April 09, 2022)
Organizing committee: Conference of Texas Statisticians (COTS) 2020, Corpus Christi, TX, USA. (Sep. 18, 2020-Sep. 19, 2020)
Session Chair: Session 8, Conference of Texas Statisticians (COTS) 2020, Corpus Christi, TX, USA. (Sep. 18, 2020)
Session Chair: CP 9, 2016 SIAM Annual Meeting, Boston, MA, USA. (July 12, 2016)
Session Chair: CP 19, SIAM Conference on Applications of Dynamical Systems 2015, Snowbird, UT, USA. (May 18, 2015)
AIP Publishing News. “Cow herd behavior is fodder for complex systems analysis”. (June 20, 2017)
Newswise, a newswire for journalists. “Cow herd behavior is fodder for complex systems analysis”. (June 12, 2017)
Pattern Recognition
Pattern Analysis and Applications.
Machine Learning Research.
Evolutionary Intelligence.
Journal of Computational Methods in Sciences and Engineering.
Society of Industrial and Applied Mathematics (SIAM).
Mathematical Association of America (MAA).
Institute of Electrical and Electronics Engineers (IEEE).