Bio

Fred Livingston joined the ISE Department in 2023 as an adjunct 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 involves the advancement of cyber-physical systems for autonomy and advanced manufacturing. These systems utilized multi-agent robotics technologies, decentralized control, sensor fusion, optimal motion planning, edge-computing, reinforcement learning, blockchain, smart contracts and security. He firmly believes the key to success is physically and mentally pushing boundaries.

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Publications

• Anticipating Household Rescue Demand in Hurricanes Using Socio-Demographic Data and Machine Learning , SSRN Electronic Journal (2025)
• Model-Free Optimal Control of PV-DC Microgrid Integration Using Value Iteration Algorithm , 2025 7TH GLOBAL POWER, ENERGY AND COMMUNICATION CONFERENCE, GPECOM (2025)
• A Design and Modeling Software Tool for Prototyping for Ultrasonic Transceivers , 2022 IEEE Sensors (2022)
• Rapid Development of Secure Robotic Platforms , Future Force Capabilities Conference and Exhibition (2022)
• Secure Rapid Prototyping for Unmanned Systems , NDIA Ground Vehicle Systems Engineering and Technology Symposium (2021)
• Binary encoding of sensors in textile structures , (2019)
• Characterizing conductive yarns for pressure sensors applications , 2015 IEEE SENSORS - Proceedings (2015)
• Characterizing conductive yarns for pressure sensors applications , 2015 ieee sensors (2015)
• Technology for Improving the Quality of Life for Patients Suffering from Vascular Insufficiency , (2014)
• Comparison of Learning on the Design of a KANSEI Robot Testbed for Understanding Human-Machine Interaction , International Conference on KANSEI Engineering and Emotion Research (2010)

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