Austin R. J. Downey

Orcid: 0000-0002-5524-2416

According to our database1, Austin R. J. Downey authored at least 20 papers between 2018 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
Resource Scheduling for Real-Time Machine Learning.
Proceedings of the 2025 ACM/SIGDA International Symposium on Field Programmable Gate Arrays, 2025

N-TORC: Native Tensor Optimizer for Real-Time Constraints.
Proceedings of the 33rd IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2025

Optimized Coding and Parameter Selection for Efficient FPGA Design of Attention Mechanisms.
Proceedings of the 33rd IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2025

2024
Bayes_Opt-SWMM: A Gaussian process-based Bayesian optimization tool for real-time flood modeling with SWMM.
Environ. Model. Softw., 2024

A large dataset of fluvial hydraulic and geometry attributes derived from USGS field measurement records.
Environ. Model. Softw., 2024

A Runtime-Adaptive Transformer Neural Network Accelerator on FPGAs.
CoRR, 2024

Famous: Flexible Accelerator for the Attention Mechanism of Transformer on Ultrascale+ FPGAs.
Proceedings of the International Conference on Field Programmable Technology, 2024

Fast Topological Data Analysis Features for Nonstationary Time Series.
Proceedings of the Dynamic Data Driven Applications Systems - 5th International Conference, 2024

Earthen Embankment Monitoring Using LiDAR Data by Randomized Consensus of Topological Data Analysis.
Proceedings of the Dynamic Data Driven Applications Systems - 5th International Conference, 2024

A Probabilistic Machine Learning Pipeline Using Topological Descriptors for Real-Time State Estimation of High-Rate Dynamic Systems.
Proceedings of the Dynamic Data Driven Applications Systems - 5th International Conference, 2024

2023
Optimal Sampling Methodologies for High-rate Structural Twinning.
Proceedings of the 26th International Conference on Information Fusion, 2023

Accelerating LSTM-Based High-Rate Dynamic System Models.
Proceedings of the 33rd International Conference on Field-Programmable Logic and Applications, 2023

2022
Structural Health Monitoring of Fatigue Cracks for Steel Bridges with Wireless Large-Area Strain Sensors.
Sensors, 2022

An Open-Source IoT Remote Monitoring System for High-Hazard Dams.
Proceedings of the 2022 IEEE Sensors, Dallas, TX, USA, October 30 - Nov. 2, 2022, 2022

Measurement of Magnetic Particle Concentrations in Wildfire Ash via Compact NMR.
Proceedings of the 2022 IEEE Sensors, Dallas, TX, USA, October 30 - Nov. 2, 2022, 2022

High-Rate Machine Learning for Forecasting Time-Series Signals.
Proceedings of the 30th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2022

2021
Soft Elastomeric Capacitor for Angular Rotation Sensing in Steel Components.
Sensors, 2021

2019
Concrete Crack Detection and Monitoring Using a Capacitive Dense Sensor Array.
Sensors, 2019

Physics-based prognostics of lithium-ion battery using non-linear least squares with dynamic bounds.
Reliab. Eng. Syst. Saf., 2019

2018
An Experimental Study on Static and Dynamic Strain Sensitivity of Embeddable Smart Concrete Sensors Doped with Carbon Nanotubes for SHM of Large Structures.
Sensors, 2018


  Loading...