Deep Learning for Hyperspectral Image Classification on Embedded Platforms. - Siddharth Balakrishnan; David Langerman; Evan Gretok; Alan D. George (IPAS, 2018)

Accelerating Real-Time, High-Resolution Depth Upsampling on FPGAs. - David Langerman; Sebastian Sabogal; Barath Ramesh; Alan D. George (IPAS, 2018)

Beyond Floating-Point Ops: CNN Performance Prediction with Critical Datapath Length. - David Langerman; Alex Johnson; Kyle Buettner; Alan D. George (HPEC, 2020)

Transformers for Classifying Fourth Amendment Elements and Factors Tests. - Evan Gretok; David Langerman; Wesley M. Oliver (JURIX, 2020)

Real-time, High-resolution Depth Upsampling on Embedded Accelerators. - David Langerman; Alan D. George (ACM Trans. Embed. Comput. Syst., 2021)

High-Level Frameworks: Effect on Transformer Inference Time and Power on Embedded GPU Devices. - Marika E. Schubert; David Langerman; Alan D. George (HPEC, 2023)

ModelGauge: Inference Profiling of Deep-Learning Models. - Calvin B. Gealy; David Langerman; Alan D. George (HPEC, 2024)

Benchmarking Inference of Transformer-Based Transcription Models With Clustering on Embedded GPUs. - Marika E. Schubert; David Langerman; Alan D. George (IEEE Access, 2024)

SPOC: Model Metrics and Inference Scalability. - Calvin B. Gealy; David Langerman; Marika E. Schubert; Alan D. George (IEEE Access, 2025)