Joshua C Agar

Assistant Professor, Mechanical Engineering and Mechanics, Drexel University

Joined

October 2023

Names

Joshua C Agar (Preferred)

Joshua Agar

Josh Agar

Josh C. Agar

Joshua C. Agar

Emails

****@drexel.edu (Confirmed)

Personal Links

Homepage

DBLP

Career & Education History

Assistant Professor

Mechanical Engineering and Mechanics, Drexel University (drexel.edu)

2022 – Present

Assistant Professor

Lehigh University (lehigh.edu)

2018 – 2022

Advisors, Relations & Conflicts

PhD Advisor

Lane Martin

2011 – 2014

Expertise

FPGA

2018 – Present

Machine Learning

2015 – Present

Electron Microscopy

2015 – Present

Materials Science

2011 – Present

Atomic Force Microscopy

2011 – Present

Publications

Data Discovery and Indexing for Semi-Structured Scientific Data
Kaushik Jagini, Yifan Zhang, Yichen Guo, Julian Goddy, Dale Stansberry, Joshua Agar, Jeff Heflin
- ICEIS (2) 2024
- Readers: Everyone
Reliable edge machine learning hardware for scientific applications
Tommaso Baldi, Javier Campos, Benjamin Hawks, Jennifer Ngadiuba, Nhan Tran, Daniel Diaz, Javier M. Duarte, Ryan Kastner, Andres Meza, Melissa Quinnan, Olivia Weng, Caleb Geniesse, Amir Gholami, Michael W. Mahoney, Vladimir Loncar, Philip C. Harris, Joshua Agar, Shuyu Qin
- VTS 2024
- Readers: Everyone
Corrigendum: Applications and techniques for fast machine learning in science
Allison McCarn Deiana, Nhan Tran, Joshua Agar, Michaela Blott, Giuseppe Di Guglielmo, Javier M. Duarte, Philip C. Harris, Scott Hauck, Mia Liu, Mark S. Neubauer, Jennifer Ngadiuba, Seda Ogrenci-Memik, Maurizio Pierini, Thea Aarrestad, Steffen Bähr, Jürgen Becker, Anne-Sophie Berthold, Richard J. Bonventre, Tomás E. Müller-Bravo, Markus Diefenthaler et al. (27 additional authors not shown)
- Frontiers Big Data 2024
- Readers: Everyone
A High Level Synthesis Methodology for Dynamic Monitoring of FPGA ML Accelerators
Ryan F. Forelli, Rui Shi, Seda Ogrenci, Joshua Agar
- VTS 2024
- Readers: Everyone
Low latency optical-based mode tracking with machine learning deployed on FPGAs on a tokamak
Yumou Wei, Ryan F. Forelli, Chris Hansen, Jeffrey P. Levesque, Nhan Tran, Joshua C. Agar, Giuseppe Di Guglielmo, Michael E. Mauel, Gerald A. Navratil
- CoRR 2023
- Readers: Everyone
Deep Learning for Automated Experimentation in Scanning Transmission Electron Microscopy
Sergei V. Kalinin, Debangshu Mukherjee, Kevin M. Roccapriore, Ben Blaiszik, Ayana Ghosh, Maxim A. Ziatdinov, Anees Al-Najjar, Christina Doty, Sarah Akers, Nageswara S. V. Rao, Joshua C. Agar, Steven R. Spurgeon
- CoRR 2023
- Readers: Everyone
Applications and Techniques for Fast Machine Learning in Science
Allison McCarn Deiana, Nhan Tran, Joshua Agar, Michaela Blott, Giuseppe Di Guglielmo, Javier M. Duarte, Philip C. Harris, Scott Hauck, Mia Liu, Mark S. Neubauer, Jennifer Ngadiuba, Seda Ogrenci Memik, Maurizio Pierini, Thea Aarrestad, Steffen Bähr, Jürgen Becker, Anne-Sophie Berthold, Richard J. Bonventre, Tomas E. Muller Bravo, Markus Diefenthaler et al. (27 additional authors not shown)
- 2022 (modified: 06 Jun 2022)
- Frontiers Big Data 2022
- Readers: Everyone
Stacked Generative Machine Learning Models for Fast Approximations of Steady-State Navier-Stokes Equations
Shen Wang, Mehdi Nikfar, Joshua C. Agar, Yaling Liu
- CoRR 2021
- Readers: Everyone
Applications and Techniques for Fast Machine Learning in Science
Allison McCarn Deiana, Nhan Tran, Joshua Agar, Michaela Blott, Giuseppe Di Guglielmo, Javier M. Duarte, Philip C. Harris, Scott Hauck, Mia Liu, Mark S. Neubauer, Jennifer Ngadiuba, Seda Ogrenci Memik, Maurizio Pierini, Thea Aarrestad, Steffen Bähr, Jürgen Becker, Anne-Sophie Berthold, Richard J. Bonventre, Tomás E. Müller-Bravo, Markus Diefenthaler et al. (67 additional authors not shown)
- 2021 (modified: 31 Mar 2023)
- CoRR 2021
- Readers: Everyone

Co-Authors

View all 123 co-authors