Glen S. Uehara, PhD

Student Name: Glen S. Uehara, PhD

Email: [email protected]

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.

I am a Ph.D. student in the Electrical Engineering department at ASU, specializing in Quantum Algorithms and Quantum Machine Learning. I am researching algorithms and learning how to apply them to Signal & Information Processing and Machine Learning. I also work in the General Dynamics Mission Systems (GDMS) Quantum Engineering Center. I aim to explore new techniques and methods using Quantum Algorithms, Computing, and Quantum Inspired techniques to grow our knowledge of Signal and Information Processing.

Patents :

  1. Quantum probability encoding for communication systems
    US 12,184,341 · Issued December 31, 2024
  2. Method and system for managing communications for a multi-mode communications device
    US 8,170,604 · Issued May 1, 2012
  3. Rapid push-to-send data exchange method and apparatus
    US 7,756,097 · Issued Jul 13, 2010
  4. 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.
  7. A. Sharma, G. Uehara, V. Narayanaswamy, L. Miller and A. Spanias, “Signal Analysis-Synthesis Using the Quantum Fourier Transform,” ICASSP 2023 – 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Rhodes Island, Greece, 2023, pp. 1-5, doi: 10.1109/ICASSP49357.2023.10096524
  8. L. Miller, G. Uehara, A. Sharma and A. Spanias, “Quantum Machine Learning for Optical and SAR Classification,” 2023 24th International Conference on Digital Signal Processing (DSP), Rhodes (Rodos), Greece, 2023, pp. 1-5, doi: 10.1109/DSP58604.2023.10167979
  9. Lata, T.D., Deymier, P.A., Runge, K., Uehara, G.S. and Hodges, T.M., 2023. Underwater acoustic sensing using the geometric phase. The Journal of the Acoustical Society of America, 154(5), pp.2869-2877.

Acknowledgments: 

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