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
- A Review of Advances in Smart Wheelchair Technology from 2016 Onwards
- Geng, Q., Livingston, F. J., & Grant, E. (2025), Proceedings of the 19th International Conference on Intelligent Autonomous Systems (IAS-19). Presented at the Genoa, Italy. Genoa, Italy: Springer-Verlag.
- A Transformer Architecture Including Reinforcement Learning for Smart Wheelchair Navigation
- Geng, Q., Livingston, F. J., & Grant, E. (2025), Proceedings of the 19th International Conference on Intelligent Autonomous Systems (IAS-19). Presented at the Genoa, Italy. Genoa, Italy: Springer-Verlag.
- Adaptive Dynamic Programming for Voltage Regulation in Standalone Photovoltaic Systems with Unknown Loads and Uncertain Dynamics
- Alshareef, A., Aljumah, O., & Livingston, F. (2025), Texas Power and Energy Conference (TPEC 2025).
- 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
- Automated Post-Processing with Cyber-Physical Systems
- Livingston, F. J., Harrysson, O. L. A., Do, K. W., Liu, R., Zhang, J., & Tucker, L. (2025), APICAM 2025 -- International Conference on Additive Manufacturing.
- 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
- PV Array Integration with Single-Phase AC Grid Utilizing Adaptive Dynamic Programming
- Alshareef, A., Aljumah, O., & Livingston, F. (2025), IEEE Kansas Power and Energy Conference (KPEC 2025).
- PV Array Interface with DC Grid Implementation Using Value Iteration Algorithm for Adaptive Optimal Control in MPPT Reference Voltage Tracking
- Alshareef, A., Aljumah, O., & Livingston, F. (2025), IEEE Kansas Power and Energy Conference (KPEC 2025).
- The Role NC State Plays in Modern Manufacturing
- Harrysson, O., & Livingston, F. (2025). , .
- Using Machine Learning for Tool Life Optimization in Manufacturing
- Koprov, P., Wilson, J., Alexis, A., Modline, A., & Livingston, F. (2024), Manufacturing Science and Engineering Conference. Presented at the Tennessee. Tennessee.
