headshot of Christopher D'Angelo

Christopher D'Angelo

Adjunct Assistant Professor
CJD66@pitt.edu
Mechanical Engineering & Materials Science

overview

I am presently Lead Research & Development Engineer at Diamond Kinetics, where I lead mathematical modeling, development of state estimation and optimization approaches, and new product development around the use of sensor fusion for motion reconstruction applications. Prior to this, I was a senior research engineer at Naval Nuclear Laboratory, where I led research and development in active control and estimation. I have been on the Adjunct Faculty in MEMS since 2019.

While earning my PhD in Mechanical Engineering at the University of Pittsburgh, I was awarded a Rickover Fellowship in Nuclear Engineering from the Naval Nuclear Laboratory and the Naval Reactors Division of the United States Department of Energy, and I was also awarded the Outstanding PhD Dissertation Award from the Department of Mechanical Engineering and Materials Science for my research: "Probabilistic Decentralized Active Vibration Control: Stability, Performance, and Robustness."

about

PhD, Mechanical Engineering, University of Pittsburgh, 2019

BS, Mechanical Engineering, Rensselaer Polytechnic Institute, 2009

Maccarone, L.T., D'Angelo, C.J., & Cole, D.G. (2018). Uncovering cyber-threats to nuclear system sensing and observability. NUCLEAR ENGINEERING AND DESIGN, 331, 204-210.Elsevier. doi: 10.1016/j.nucengdes.2018.02.028.

D’Angelo, C.J., Cole, D.G., & Collinger, J.C. (2019). Probabilistic Robustness Analysis of an Actively Controlled Structure that Operates in Harsh and Uncertain Environments. In Conference Proceedings of the Society for Experimental Mechanics Series, 6, (pp. 121-131).Springer Nature. doi: 10.1007/978-3-319-74476-6_17.

D'Angelo, C. (2019). Probabilistic Decentralized Active Vibration Control: Stability, Performance, and Robustness. Knolls Atomic Power Laboratory.Schenectady, NY.

D'Angelo, C.J., Cole, D.G., & Collinger, J.C. (2017). A large scale system approach for stability analysis of multi-unit SMR plants. In 10th International Topical Meeting on Nuclear Plant Instrumentation, Control, and Human-Machine Interface Technologies, NPIC and HMIT 2017, 2, (pp. 1090-1101).

D'Angelo, C., & Cole, D.G. (2016). Real-Time Simulation and Control of Coupled SmAHTR Reactors. 2016 ANS Winter Meeting and Technology Expo.Las Vegas, NV.

Wang, W., D'Angelo, C., Mosse, D., & Cole, D. (2016). Integrating Control and Fault-Tolerant Wireless Network Design for Small Modular Nuclear Reactors. In 2016 IEEE 17th International Conference on Information Reuse and Integration (IRI), (pp. 332-342).Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/iri.2016.51.

Cole, D.G., D'Angelo, C.J., & Hansen, C.J. (2015). Using Pattern Recognition for On-line Sensor Prognostics and Diagnostics in Nuclear Power Plants. 9th International Conference on Nuclear Plant Instrumentation, Control, & Human-Machine Interface Technologies.

D’Angelo, C.J., & Cole, D.G. (2015). Hot standby state observers for sensor fault-tolerance in small modular reactors. In Transactions of the American Nuclear Society, 113, (pp. 182-185).

D'Angelo, C.J., & Cole, D.G. (2015). Hot Standby State Observers for Sensor Fault Tolerance in Small Modular Nuclear Reactors. 2015 American Nuclear Society Winter Meeting and Technology Expo.Washington, D.C.

D'Angelo, C.J., Hansen, C.J., & Cole, D.G. (2015). Using pattern recognition for on-line sensor prognostics and diagnostics in nuclear power plants. In 9th International Topical Meeting on Nuclear Plant Instrumentation, Control, and Human-Machine Interface Technologies, NPIC and HMIT 2015, 2, (pp. 1420-1429).