Utilization of Data Augmentation Techniques to Enhance Learning with Sparse Datasets. - Richard C. Yarnell; Daniel Brignac; Yanjie Fu; Ronald F. DeMara (AI4I, 2022)

A Genetic Algorithm for Combinational Logic Circuit Synthesis Using Directed Graph Primitives. - Richard C. Yarnell; Pierce Powell; Ronald F. DeMara; Annie S. Wu (ICMLA, 2023)

Image Quantization Tradeoffs in a YOLO-based FPGA Accelerator Framework. - Richard C. Yarnell; Mousam Hossain; Ronald F. DeMara (ISQED, 2023)

Interactive Framework for Cybersecurity Education and Future Workforce Development. - Sujan Ghimire; Muhtasim Alam Chowdhury; Ryan Tsang; Richard C. Yarnell; Emma Heckert; Jaeden Wolf Carpenter; Yu-Zheng Lin; Muntasir Mamun; Ronald F. DeMara; Setareh Rafatirad; Pratik Satam; Soheil Salehi (FIE, 2024)

Educational Tool-spaces for Convolutional Neural Network FPGA Design Space Exploration Using High-Level Synthesis. - Richard C. Yarnell; Mousam Hossain; Raul Graterol; Ayush Pindoria; Sujan Ghimire; Muhtasim Alam Chowdhury; Soheil Salehi; Yu Bai 004; Ronald F. DeMara (ACM Great Lakes Symposium on VLSI, 2024)

FOCAL: Feature-Oriented Cellular Automata Learning for Convolution-Free Image Classification. - Noah Ari; Richard C. Yarnell; Paul Amoruso; Johnathan Mell; Ronald F. DeMara; Annie S. Wu (IS, 2024)