Publications

As a Carnegie Research-1 university and longstanding member of the American Association of Universities (AAU), Pitt considers scholarship of primary importance, where innovations in basic and applied research as well as education are featured in refereed journal articles and conference papers.

This page (presently under construction) features a database of scholarly publications showcasing a wide variety of space research and education of impact from Pitt faculty and students. 

In addition, as part of our ongoing Pitt Space Seminar Series, presentations (both slides and video) from our various speakers in the space community are posted.

Publications Search

Year Title Authors View/Download
2020 Beyond Floating-Point Ops: CNN Performance Prediction with Critical Datapath Length D. Langerman, A. Johnson, K. Buettner and A. D. George
2021 Benchmarking Transformer-Based Transcription on Embedded GPUs for Space Applications M. E. Schubert and A. D. George
2023 High-Level Frameworks: Effect on Transformer Inference Time and Power on Embedded GPU Devices M. Schubert, D. Langerman, A. George
2024 Soft-Error Characterization and Mitigation Strategies for Edge Tensor Processing Units in Space T. Garrett, S. Roffe and A. George
2022 Adapting On Orbit: Conclusions of the STP-H6 Spacecraft Supercomputing for Image and Video Processing Experiment Evan W. Gretok, Seth Roffe, Antony Gillette, Alan D. George
2021 STP-H7-CASPR: A Transition from Mission Concept to Launch Perryman, Noah, Theodore Schwarz, Thomas Cook, Seth Roffe, Antony Gillette, Evan Gretok, Tyler Garrett, Sebastian Sabogal, Alan George, and Ricardo Lopez
2020 CASPR: Autonomous Sensor Processing Experiment for STP-H7 Seth Roffe, Theodore Schwarz, Thomas Cook, Noah Perryman, Justin Goodwill, Evan Gretok, Aidan Phillips, Mitchell Moran, Tyler Garrett, and Alan George
Evaluation of Algorithm-Based Fault Tolerance for Machine Learning and Computer Vision under Neutron Radiation S. Roffe and A. D. George
2019 Embedded GPU Cluster Computing Framework for Inference of Convolutional Neural Networks E. Kain, D. Wildenstein and A. C. Pineda
2024 Performance Characterization of Gemini APU Processing-in-Memory Devices for Space D. Wildenstein, N. Sampson, A. D. George
2024 Reliable, ML-Based Image Processing and Compression for an Accelerated Onboard Imaging Pipeline T. Garrett, D. Wildenstein, E. Gretok, and A. D. George
2024 Evaluation of Spectral CNNJPEG Adaptive Compression on the STP-H7-CASPR Platform D. Wildenstein, T. Garrett, E. Gretok, S. Roffe, and A. D. George
2024 FPGA Acceleration for Scalable High-Resolution OPIR Target Detection D. C. Stumpp and A. D. George
2024 Leveraging HBM2 for Accelerating k-mer Counting with oneAPI on FPGAs O. P. Lucas and A. D. George
2024 Accelerated Machine Learning for On-Orbit OPIR Target Detection D. C. Stumpp and A. D. George
2024 Investigating oneAPI Performance & Scalability using Feedforward FFT Architectures J. Bickerstaff and A. D. George
2022 Evaluating Network Performance of Containerized Test Framework for Distributed Space Systems W. Vaughan, A. George, B. Kempa, D. Cellucci, and N. Cramer
Soft-Error Characterization and Mitigation Strategies for Edge Tensor Processing Units in Space T. Garrett, S. Roffe, and A. George
2022 Maintaining communication at scale with OpenSHMEM C. Abidi
2022 AUTOMATED MAPPING FOR COMPARISON OF SATELLITE IMAGERY C. Abidi, S. Roffe, E. Gretok, and A. George
2024 Soft-Error Characterization and Mitigation Strategies for Edge Tensor Processing Units in Space T. Garrett, S. Roffe, and A. George
2022 RBS: Profile-Guided Scheduling for Time-Triggered Applications R. Esswein, B. Luksik, A. Loveless, and A. George
2024 Rapid Spacecraft Payload Development: In-Orbit Demonstration of Flight Software Reuse, Scalability, and Dependability W. Vaughan et al.
2024 Maintaining communication at scale with OpenSHMEM C. Abidi
2024 Evaluation of Scalability for Distributed Data-Parallel Training of Swin Transformer V2 D. M. Garrett
2022 Evaluation of Parameter-Scaling for Efficient Deep Learning on Small Satellites C. Gealy and A. George
2024 Evaluating one-sided communication for graph analytics with MPI-RMA and OpenSHMEM J. Boothe
2022 Evaluating Network Performance of Containerized Test Framework for Distributed Space Systems W. Vaughan, A. George, B. Kempa, D. Cellucci, and N. Cramer
2024 Characterizing Parameter Scaling with Quantization for Deployment of CNNs on Real-Time Systems C. B. Gealy and A. D. George
2022 AUTOMATED MAPPING FOR COMPARISON OF SATELLITE IMAGERY C. Abidi, S. Roffe, E. Gretok, and A. George
2020 Beyond Floating-Point Ops: CNN Performance Prediction with Critical Datapath Length D. Langerman, A. Johnson, K. Buettner and A. D. George
2021 Benchmarking Transformer-Based Transcription on Embedded GPUs for Space Applications M. E. Schubert and A. D. George
2023 igh-Level Frameworks: Effect on Transformer Inference Time and Power on Embedded GPU Devices M. Schubert, D. Langerman, A. George
2024 Soft-Error Characterization and Mitigation Strategies for Edge Tensor Processing Units in Space T. Garrett, S. Roffe and A. George
2022 Adapting On Orbit: Conclusions of the STP-H6 Spacecraft Supercomputing for Image and Video Processing Experiment Evan W. Gretok, Seth Roffe, Antony Gillette, Alan D. George
2021 STP-H7-CASPR: A Transition from Mission Concept to Launch Perryman, Noah, Theodore Schwarz, Thomas Cook, Seth Roffe, Antony Gillette, Evan Gretok, Tyler Garrett, Sebastian Sabogal, Alan George, and Ricardo Lopez
2020 CASPR: Autonomous Sensor Processing Experiment for STP-H7 Seth Roffe, Theodore Schwarz, Thomas Cook, Noah Perryman, Justin Goodwill, Evan Gretok, Aidan Phillips, Mitchell Moran, Tyler Garrett, and Alan George
2020 Evaluation of Algorithm-Based Fault Tolerance for Machine Learning and Computer Vision under Neutron Radiation S. Roffe and A. D. George
Embedded GPU Cluster Computing Framework for Inference of Convolutional Neural Networks E. Kain, D. Wildenstein and A. C. Pineda
Performance Characterization of Gemini APU Processing-in-Memory Devices for Space D. Wildenstein, N. Sampson, A. D. George
Reliable, ML-Based Image Processing and Compression for an Accelerated Onboard Imaging Pipeline T. Garrett, D. Wildenstein, E. Gretok, and A. D. George
2024 Evaluation of Spectral CNNJPEG Adaptive Compression on the STP-H7-CASPR Platform D. Wildenstein, T. Garrett, E. Gretok, S. Roffe, and A. D. George
2024 Monitoring inflammatory, immune system mediators, and mitochondrial changes related to brain metabolism during space flight Darcy Tocci, Tomas Ducai, C. A. Barry Stoute, Gabrielle Hopkins, Mohammad G. Sabbir, Afshin Beheshti, Benedict C. Albensi
2024 To boldly go where no microRNAs have gone before: spaceflight impact on risk for small-for-gestational-age infants Giada Corti, JangKeun Kim, Francisco J. Enguita, Joseph W. Guarnieri, Lawrence I. Grossman, Sylvain V. Costes, Matias Fuentealba, Ryan T. Scott, Andrea Magrini, Lauren M. Sanders, Kanhaiya Singh, Chandan K. Sen, Cassandra M. Juran, Amber M. Paul, Davi
2024 Infrared spectroscopy of volcanoes: Laboratory to orbital scale D.B. Williams, M.S. Ramsey
2024 Quantitative assessment of volcanic thermal activity from space using an isolation forest machine learning algorithm C. Corradino, A.B. Malaguti, M.S. Ramsey, C. Del Negro
2019 Cooling to Facilitate Metabolic Suppression in Healthy Individuals J. Rittenberger, K. Flickinger, A. Weissman, M. Repine, J. Elmer, F. Guyette, C. Callaway
2024 Metabolic Manipulation and Therapeutic Hypothermia K. Flickinger, A. Weissman, J. Elmer, P. Coppler, F. Guyette, M. Repine, C. Dezfulian, D. Hopkins, A. Frisch, A. Doshi, J. Rittenberger, C. Callaway
Alpha-2-adrenergic agonists reduce resting energy expenditure in humans during external cooling K. Flickinger, A. Weissman, F. Guyette, R. DeMaio, A. Jonsson, V. Wu, J. Monteleone, P. Prescott, J. Birabaharan, D. Buysse, P. Empey, T. Nolin, R. West III, C. Callaway
2013 Structural controllability of multi-agent networks: Robustness against simultaneous failures M. Amin Rahimian, Amir G. Aghdam