Student Name: Glen S. Uehara, PhD

Email: guehara@asu.edu

Biography:

I have a BS and MSE in Electrical Engineering from the University of Hawaii and Arizona State University, respectively. Since my first degree, I have been working as a communication and signal processing engineer in the commercial and defense industry. In recent years, I have earned several certifications in cyber security and have applied these techniques and knowledge to various programs.

Currently, I am a Ph.D. student in the Electrical Engineering department at ASU, specializing in Quantum Algorithms. I am researching these algorithms and learning how to apply them to Signal & Information Processing and Machine Learning. I am currently working in the Quantum Laboratory at General Dynamics. I am hoping to explore new techniques and methods in Quantum Algorithms to grow this knowledge for both ASU and GD.

Patents :

1. Method and system for managing communications for a multi-mode communications device
   US 8,170,604 · Issued May 1, 2012
2. Rapid push-to-send data exchange method and apparatus
   US 7,756,097 · Issued Jul 13, 2010
3. Rapid push-to-talk call setup method and apparatus
   US 7,379,735 · Issued May 27, 2008

Tutorials:

1. Information, Intelligence, Systems and Applications (IISA) 2021
   Tutorial: Quantum Computing Algorithms for Machine Learning and Signal Processing
   Speaker: Glen Uehara, Andreas Spanias
   https://easyconferences.eu/iisa2021/quantum-computing-algorithms-for-machine-learning-and-signal-processing/
2. Rocky Mountain Advanced Computing Consortium (RMACC) 2023
   Guest Speaker: An approach in using Quantum Algorithms for signal processing
   Speaker: Glen Uehara
   https://rmacc2023.sched.com/event/1MqMl/an-approach-in-using-quantum-algorithms-for-signal-processing
3. Midwest Symposium on Circuits and Systems (MWSCAS) 2023
   Tutorial: Quantum Machine Learning Algorithms and Applications
   Speaker: Glen Uehara, Andreas Spanias
   https://www.mwscas2023.org/program/tutorials

 

List of Publications :

1. Uehara, G.S., Spanias, A. and Clark, W., 2021, July. Quantum information processing algorithms with emphasis on machine learning. In 2021 12th International Conference on Information, Intelligence, Systems & Applications (IISA) (pp. 1-11). IEEE.
2. Uehara, G., Rao, S., Dobson, M., Tepedelenlioglu, C. and Spanias, A., 2021, July. Quantum Neural Network Parameter Estimation for Photovoltaic Fault Detection. In 2021 12th International Conference on Information, Intelligence, Systems & Applications (IISA) (pp. 1-7). IEEE.
3. M. Esposito, G. Uehara, and A. Spanias, “Quantum Machine Learning for Audio Classification with Applications to Healthcare,” 13th International Conference on Information, Intelligence,
   Systems and Applications, IISA 2022, 2022.
4. G. S. Uehara, V. Narayanaswamy, C. Tepedelenlioglu, and A. Spanias, “Quantum Machine Learning for Photovoltaic Topology Optimization,” 13th International Conference on Informa-
   tion, Intelligence, Systems and Applications, IISA 2022, 2022.
5. M. Yarter, G. Uehara, and A. Spanias, “Implementation and Analysis of Quantum Homo-morphic Encryption,” 13th International Conference on Information, Intelligence, Systems and
   Applications, IISA 2022, 2022.
6. G. Uehara, J. Larson, W. Barnard, M. Esposito, F. Posta, M. Yarter, A. Sharma, N. Kyriacou, M. Dobson, and A. Spanias, “Undergraduate Research and Education in Quantum Machine
   Learning,” in Proceedings – Frontiers in Education Conference, FIE, vol. 2022-Octob, 2022.

Acknowledgments: 

I acknowledge the SenSIP Center of Electrical Engineering for its excellent advisory and support.