Improving Seismic Wave Simulation and Inversion Using Deep Learning. - Lei Huang 006; Edward Clee; Nishath Rajiv Ranasinghe (SMC, 2020)

Effects of the Nonlinearity in Activation Functions on the Performance of Deep Learning Models. - Nalinda Kulathunga; Nishath Rajiv Ranasinghe; Daniel Vrinceanu; Zackary Kinsman; Lei Huang 006; Yunjiao Wang (CoRR, 2020)

Discovering Nonlinear Dynamics Through Scientific Machine Learning. - Lei Huang 006; Daniel Vrinceanu; Yunjiao Wang; Nalinda Kulathunga; Nishath Rajiv Ranasinghe (IntelliSys (1), 2021)

Effects of Nonlinearity and Network Architecture on the Performance of Supervised Neural Networks. - Nalinda Kulathunga; Nishath Rajiv Ranasinghe; Daniel Vrinceanu; Zackary Kinsman; Lei Huang 006; Yunjiao Wang (Algorithms, 2021)

LLM-Assisted Translation of Legacy FORTRAN Codes to C++: A Cross-Platform Study. - Nishath Rajiv Ranasinghe; Shawn M. Jones; Michal Kucer; Ayan Biswas; Daniel O'Malley; Alexander Most; Selma Liliane Wanna; Ajay Sreekumar (CoRR, 2025)

Lost in OCR Translation? Vision-Based Approaches to Robust Document Retrieval. - Alexander Most; Joseph Winjum; Ayan Biswas; Shawn M. Jones; Nishath Rajiv Ranasinghe; Dan O'Malley; Manish Bhattarai (CoRR, 2025)

VizGenie: Toward Self-Refining, Domain-Aware Workflows for Next-Generation Scientific Visualization. - Ayan Biswas; Terece L. Turton; Nishath Rajiv Ranasinghe; Shawn M. Jones; Bradley Love; William M. Jones; Aric A. Hagberg; Han-Wei Shen; Nathan DeBardeleben; Earl Lawrence (CoRR, 2025)