Minority student involvement in computational science research at Texas Southern University. - M. Farrukh Khan; Daniel Vrinceanu; Kiran Chilakamarri; Christopher John Tymczak (XSEDE, 2012)

Computing high precision Matrix Padé approximants. - Bernhard Beckermann; Daniel Bessis; Luca Perotti; Daniel Vrinceanu (Numer. Algorithms, 2012)

Beyond the Fourier Transform: Signal Symmetry Breaking in the Complex Plane. - Luca Perotti; Daniel Vrinceanu; Daniel Bessis (IEEE Signal Process. Lett., 2012)

Noise in the complex plane: open problems. - Daniel Bessis; Luca Perotti; Daniel Vrinceanu (Numer. Algorithms, 2013)

Parallel sparse matrix-matrix multiplication: a scalable solution with 1D algorithm. - Mohammad Asadul Hoque; Md Rezaul Karim Raju; Christopher John Tymczak; Daniel Vrinceanu; Kiran Chilakamarri (Int. J. Comput. Sci. Eng., 2015)

Recovery of the Starting Times of Delayed Signals. - Luca Perotti; Daniel Vrinceanu; Daniel Bessis (IEEE Signal Process. Lett., 2018)

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)