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