Fred Livingston
Associate Teaching Professor
- Phone: 919.515.1549
- Email: fjliving@ncsu.edu
- Office: Fitts-Woolard Hall
Fred Livingston joined the ISE Department in 2023 as an associate teaching professor. When not in the office or co-working space, you can find him competing in challenges such as Badwater Ultra, IRONMAN, and Spartan.
Research Interests
Livingston’s research and teaching are centered on enhancing cyber-physical systems for smart manufacturing, focusing on AI-assisted low-volume manufacturing post-processing. These systems harness generative AI and machine learning to enable real-time process actions for responsive manipulation. They integrate seamlessly with the Industrial Internet of Things (IIoT) by employing open architectures, facilitating dynamic and flexible manufacturing processes. Furthermore, we leverage real-time perception, process modeling, and the advantages of digitalization to optimize processes and enhance scalability.
Education
| Degree | Program | School | Year |
|---|---|---|---|
| Ph.D. | Doctor of Philosophy in Electrical and Computer Engineering | NC State University | 2014 |
| MSECE | Master of Science in Electrical and Computer Engineering | NC State University | 2006 |
| BSECE | Bachelor of Science in Electrical and Computer Engineering | NC State University | 2003 |
Awards and Honors
- 2007 | Outstanding Paper Award, Emerald LiteratiNetwork
- 2006 | Fellow, Microsystems and Engineering Sciences Applications Institute
- 2004 | Fellow, Microsystems and Engineering Sciences Applications Institute
Discover More About Fred Livingston
Publications
- Anticipating Household Rescue Demand in Hurricanes Using Socio-Demographic Data and Machine Learning
- Leavitt, P., Livingston, F., McConnell, B., Rachunok, B., Leavitt, P., Livingston, F., … Rachunok, B. (2025, January 1), SSRN Electronic Journal. https://doi.org/10.2139/ssrn.5799543
- Model-Free Optimal Control of PV-DC Microgrid Integration Using Value Iteration Algorithm
- Alshareef, A., Aljumah, O., Alshammari, S., & Livingston, F. (2025, June 11), 2025 7TH GLOBAL POWER, ENERGY AND COMMUNICATION CONFERENCE, GPECOM, pp. 679–684. https://doi.org/10.1109/GPECOM65896.2025.11061890
- A Design and Modeling Software Tool for Prototyping for Ultrasonic Transceivers
- Livingston, F., & Grant, E. (2022), 2022 IEEE Sensors, 2022-October. https://doi.org/10.1109/sensors52175.2022.9967042
- Rapid Development of Secure Robotic Platforms
- Aldridge, H., & Livingston, F. (2022), Future Force Capabilities Conference and Exhibition. Presented at the Future Force Capabilities Conference and Exhibition, Austin, Texas.
- Secure Rapid Prototyping for Unmanned Systems
- Aldridge, H., & Livingston, F. (2021), NDIA Ground Vehicle Systems Engineering and Technology Symposium. Presented at the NDIA Ground Vehicle Systems Engineering and Technology Symposium, Novi, Michigan.
- Binary encoding of sensors in textile structures
- Grant, E., Livingston, F. J., Craver, M. D., Hegarty-Craver, M. S., Reid, L. G., & others. (2019, December). , .
- Characterizing conductive yarns for pressure sensors applications
- Grant, E., Livingston, F., Craver, M., Hegarty-Craver, M., & McMaster, S. (2015, November 1), 2015 IEEE SENSORS - Proceedings, pp. 108–111. https://doi.org/10.1109/ICSENS.2015.7370189
- Characterizing conductive yarns for pressure sensors applications
- Grant, E., Livingston, F., Craver, M., Hegarty-Craver, M., & McMaster, S. (2015), 2015 ieee sensors, 108–111.
- Technology for Improving the Quality of Life for Patients Suffering from Vascular Insufficiency
- Livingston, F. J. (2014). , (Doctor of Philosophy). North Carolina State University, Raleigh, NC.
- Comparison of Learning on the Design of a KANSEI Robot Testbed for Understanding Human-Machine Interaction
- Livingston, F., Grant, E., & Lee, G. (2010), International Conference on KANSEI Engineering and Emotion Research.
