Advanced Computing and Engineering Consultant
Michael A. Enright
My career is focused on advanced computing and software development solutions in the following application areas: Cellular Systems, Machine Learning, Internet of Things, Cybersecurity, and more. I leverage my 30 years of experience as an executive and engineering manager for solution development in emerging technologies. During that time, I have held both academic and senior level executive positions.
I earned a Ph.D. in Electrical Engineering with a Minor in Computer Science from the University of Southern California and was a member of the University of Illinois Fighting Illini NCAA football team as an undergraduate.
My Experience
30 Years Technology Solutions
- Embedded Systems Development with ARM, GPU, FPGA, & DSP
- Quantum Computing
- Real-time Software Development
- Machine Learning/Artificial Intelligence
- MATLAB, C/C++, Python, TensorFlow
- Signal and Image Processing
- Algorithms Information and Network Security
- 5G Cellular
- RF Systems Engineering
- SATCOM Systems Engineering
- GPS and Navigation Systems
- MPEG and Video Compression
Quantum Dimension, Inc.
FOUNDER & CEO
Cyber & Computing Technology Solutions
2006-Present
University of Southern California
Adjunct professor
2006-2013
The Boeing Company
Information Security Engineer
Homeland Security Solutions
2003-2006
The Boeing Company
Compression Technology Lead
Digital Cinema Solution
2001-2003
Hughes Space & Comm
Communication SYstems Engineer
Spaceway Program
1998-2001
Motorola Cellular Subscriber Group
Digital Signal Processing Engineer
Iridium Project
1994-1998
Illinois Institute of Technology
Graduate Teaching & Research Assistant
Digital Signal Processing
1992-1994
AT&T Bell Labs
Digital Signal Processing Engineer
1992-1993
TECH-FOCUSED PROFESSIONAL
Education
UNIVERSITY OF SOUTHERN CALIFORNIA
PhD, Electrical Engineering
Los Angeles, CA
1999-2005
ILLINOIS INSTITUTE OF TECHNOLOGY
MS, ELECTRICAL ENGINEERING
Chicago, IL
1992-1994
UNIVERSITY OF MISSOURI
MS, MECHANICAL ENGINEERING
Columbia, MO
1989-1990
UNIVERSITY OF ILLINOIS
BS, Aeronautical ENGINEERING
Champaign-Urbana, IL
1983-1987
Awards
IEEE
Secretary
Standards Working Group SA 3120 Working Group – Standard for Quantum Computing Architecture
2022
IEEE
MEMBER
IEEE Future Network Initiative (FNI) Working Groups on Security and Artificial Intelligence and Machine Learning (AI/ML)
2020-Present
IEEE
Senior Member
2020-Present
HUGHES
Fellowship, Doctoral Study
1999-2004
UNIVERSITY OF ILLINOIS
MEMBER, ILLINI FOOTBALL
1986-1987
UNIVERSITY OF ILLINOIS
MEMBER, ALPHA CHI RHO FRATERNITY
1983-1988
STATE OF ILLINOIS
SCHOLARSHIP RECIPIENT,
ILLINOIS STATE SCHOLAR
1983-1988
Organizations I’ve Collaborated With
PUBLICATIONS
JOURNALS
M. A. Enright, E. Hammad and A. Dutta, “Secure federated learning for cybersecurity by virtue of network cooperation”, submitted to IEEE Transactions on Artificial Intelligence, September 2021.
M. A. Enright and C. C. Kuo, “Fast near-optimal energy allocation for multimedia loading on multicarrier systems”, IEEE Journal of Selected Areas in Communication, vol. 24, no. 3, pp. 470-480, Mar. 2006.
S. P. Neal, P. L. Speckman, and M. A. Enright, “Flaw signature estimation in ultrasonic nondestructive evaluation using the Wiener filter with limited prior information”, IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, vol. 40, no. 4, pp. 347-353, July 1993.
CONFERENCES
M. A. Enright, “Federated Learning for Cybersecurity with Zero Trust Architecture”, in IEEE 5G World Forum (5GWF’21), Virtual Conference, October 13-15, 2021.
A. Dutta, E. Hammad, M. A. Enright, “AI Enabled Predictive Security for 5G Networks”, in IEEE Future Network Artificial Intelligence and Machine Learning Workshop (AIML’21), Virtual Conference, September 27-29, 2021.
M. A. Enright, E. Hammad and A. Dutta, “Secure Federated Learning with a Zero Trust Architecture”, in IEEE Future Network Artificial Intelligence and Machine Learning Workshop (AIML’21), Virtual Conference, September 27-29, 2021.
M. A. Enright, Co-Chair at IEEE Future Network Artificial Intelligence and Machine Learning Workshop (AIML’21), Virtual Conference, September 27-29, 2021.
M. A. Enright, Co-Chair at IEEE Future Network Security Workshop (FNSEC’21), Virtual Conference, March 22-24, 2021.
M. A. Enright, “AI/ML for 5G Security”, in IEEE Summit on Communication Futures, Virtual Conference, January 2021.
M. A. Enright, “State and Challenges of AI/ML Security for Future Networks”, in IEEE Future Networks Initiative Distinguished Lecture on 5G AI/ML Security, Virtual Conference, December 2020.
M. A. Enright, H. Sridhara, and T. Nguyen, “Cooperative navigation using wideband cellular waveforms”, in Proc. JDSE/ION Joint Navigation Conference (JNC), Colorado Springs, CO, July 2011.
M. A. Enright and T. Nguyen, “An analysis of OFDM based systems and waveforms for cooperative ad hoc navigation”, in Proc. JDSE/ION Joint Navigation Conference (JNC), Orlando, FL, July 2010.
M. A. Enright, “An analysis of advanced optimization algorithms for multiuser cooperative navigation”, in Proc. IEEE Position, Location, and Navigation Conference (PLANS), Palm Springs, CA, pp. 966-971, May 2010.
M. A. Enright and C. N. Kurby, “A signals of opportunity based cooperative navigation network”, in Proc. IEEE National Aerospace & Electronics Conference (NAECON), pp. 213-218. Dayton, OH, July 2009.
Check it out!
The Limace Tech Blog
My Blog about Tech