My name is David Schwartz.
My university email address is dmschwar at email.arizona.edu.

I am pursuing a Ph.D. in Electrical and Computer Engineering. I hold a B.Sc. and M.S. in Electrical and Computer Engineering and a B.Sc. in Mathematics.

My resume is availabe here.

A longer CV can be found here.

Papers:

D. Schwartz and G. Ditzler, On Reducing Adversarial Vulnerability with Data Dependent Stochastic Resonance,” 2022 IEEE Symposium Series on Computational Intelligence (SSCI), Singapore, Singapore, 2022, pp. 1334-1341.

D. Schwartz, T. Sawyer, N. Thurston, J. Barton, G. Ditzler, “Ovarian cancer detection using optical coherence tomography and convolutional neural networks", Neural Computing and Applications (2022).

D. Schwartz, G. Ditzler, “Bolstering Adversarial Robustness with Latent Disparity Regularization", 2021 International Joint Conference on Neural Networks, IJCNN 2021..

D. Schwartz, O. O. Koyluoglu, “On the organization of grid and place cells: Neural de-noising via subspace learning”, Neural computation 31.8 (2019): 1519-1550..

Z. Liang, D. Schwartz, G. Ditzler, O. O. Koyluoglu, "The impact of encoding–decoding schemes and weight normalization in spiking neural networks." Neural Networks 108 (2018): 365-378..

D. Schwartz, O. O. Koyluoglu, “Information theoretic properties of colluding populations of grid, place, and time cells".

T. Pifer, D. Schwartz, R. Lysecky, C. Seo, and B. P. Zeigler, “Discrete event system specification, synthesis, and optimization of low-power FPGA-based embedded systems” 2013 International Conference on Field-Programmable Technology (FPT).

Posters:

D. Schwartz, O. O. Koyluoglu, “Neural noise improves path representation in a simulated network of grid, place, and time cells” Cosyne Abstracts 2017, Salt Lake City, USA.

D. Schwartz, O.O. Koyluoglu, “A hybrid code from grid and place cells” Program No. 183.26. 2016 Neuroscience Meeting Planner. San Diego, CA: Society for Neuroscience, 2016. Online.

M.J. Ragone, S. Gianelli, D. Schwartz, L. Su, O.O. Koyluoglu, J.-M. Fellous, ``The role of hippocampal replay in a computational model of path learning'' Program No. 263.14. 2016 Neuroscience Meeting Planner. San Diego, CA: Society for Neuroscience, 2016. Online.

Code:

Please email me if you're interested in any of my code not found in this repository

Amusement:

One of my applications, the Bell of Shame, can be downloaded here.

My Super Smash Bros. Melee SoundBoard, an educational and entertaining application, can be downloaded here.

Click here to see the Bell of Shame's privacy policy.

Click here to see the SSBM Soundboard's' privacy policy.