Researcher

Dimitrios Pylorof, Ph.D.

Research and Development Scientist

Research Areas:

Biography:

Dr. Dimitrios Pylorof is a research and development scientist in Idaho National Laboratory's Systems Science and Engineering division. His work revolves around intelligent supervision and control problems for complex systems (incl. advanced nuclear reactors, critical infrastructure, and distributed-energy-resources-centered energy grids). Particular research efforts pertain to the use of intelligent techniques (incl. statistical machine learning and reinforcement learning) in estimating the state of critical energy infrastructure, understanding its health, and taking informed decisions related to safe and efficient operations. His research work at INL has been supported by ARPA-E, the U.S. DOE Solar Energy Technologies Office, and the U.S. DOE Office of Electricity.

Dr. Pylorof holds a Ph.D. in Aerospace Engineering from the University of Texas at Austin, where he worked on optimization-based nonlinear control for input-constrained nonlinear systems. He also holds an M.S. in Aerospace Engineering from the University of Texas at Austin, and a Dipl.-Ing degree in Mechanical Engineering from the National University of Athens, Greece.

Before joining INL, Dr. Pylorof worked in a research capacity at the Department of Aerospace Engineering at the University of Texas at Austin, the University of Texas at Austin Center for Space Research, Georgetown University, and the Computational and Information Sciences Directorate of the U.S. Army DEVCOM Army Research Laboratory.

Education:

Ph.D., Aerospace Engineering / Control, Autonomy, and Robotics - University of Texas at Austin

M.S., Aerospace Engineering / Control, Autonomy, and Robotics - Univeristy of Texas at Austin

Dipl.-Ing, Mechanical Engineering with a major in Aeronautics - National Technical University of Athens

Affiliations:

IEEE (Institute of Electrical and Electronics Engineers)

SIAM (Society for Industrial and Applied Mathematics)

AIAA (American Institute of Aeronautics and Astronautics)

Sigma Xi scientific research honor society, full membership.

Professional Service:

Reviewer for conferences: American Control Conference (2017, 2018, 2019, 2020, 2021, 2022, 2023), IEEE Conference on Decision and Control (2018, 2019, 2021), AIAA Guidance, Navigation & Control Conference (2013, 2015), IEEE International Conference on Robotics & Automation (2013, 2015).

Reviewer for journals: ACM Transactions on Cyber-Physical Systems Special Issue on Artificial Intelligence and Cyber-Physical Systems (2020), Journal of Guidance, Control and Dynamics (2020, 2022), International Journal of Control (2019, 2020, 2021, 2022), IEEE Control Systems Letters (2022), Journal of Optimization Theory and Applications (2018), Neurocomputing (2017, 2020).

Excellent Reviewer award by AIAA Journal of Guidance, Control and Dynamics for period 10/1/2021-9/30/2022, provided by Editor-in-Chief.

Session Co-Chair for Constrained Control at the 2017 American Control Conference.

Co-organizer of workshop “AI for Energy Innovation" workshop, in the context of 37th AAAI Conference on Artificial Intelligence (AAAI-23), February 2023, Washington, DC.

Panel reviewer for U.S. National Science Foundation 2023 Graduate Research Fellowships Program on Aeronautical & Aerospace Engineering, Energy Engineering, Industrial Engineering & Operations Research, Nuclear Engineering, Optical Engineering, and Systems Engineering.

Publications:

D. Pylorof and H.E. Garcia (2023). “Uncertainty-aware photovoltaic generation estimation through fusion of physics with harmonics information using Bayesian neural networks," 2023 IEEE Innovative Smart Grid Technologies Conference, Washington, DC, USA.

D. Pylorof, H.E. Garcia and R. Bhattarai (2023). “Risk-Informed Condition Evaluation for Solar-centered Energy Generation and Distribution Networks through Bayesian Learning and Inference," 2023 IEEE Innovative Smart Grid Technologies Conference, Washington, DC, USA.

D. Pylorof and H.E. Garcia (2022). “A reinforcement learning approach to long-horizon operations, health, and maintenance supervisory control of advanced energy systems," Engineering Applications of Artificial Intelligence 116.

P. Ghosh, J. Bunton, D. Pylorof, M. Vieira, K. Chan, R. Govindan, G. Sukhatme, P. Tabuada, and G. Verma (2021). “Synthesis of Large-Scale Instant IoT Networks," IEEE Transactions on Mobile Computing (early access).

D. Pylorof and E. Bakolas (2021). “Safe nonlinear control design for input constrained polynomial systems using sum-of-squares programming," International Journal of Control 94(9).

P. Ghosh, J. Bunton, D. Pylorof, M. Vieira, K. Chan, R. Govindan, G. Sukhatme, P. Tabuada, and G. Verma (2020). “Rapid Top-Down Synthesis of Large-Scale IoT Networks," 29th International Conference on Computer Communications and Networks, Honolulu, HI, USA.

D. Pylorof, E. Bakolas and K.S. Chan (2020). “Design of robust Lyapunov-based observers for nonlinear systems with sum-of-squares programming," IEEE Control Systems Letters 4(2).

D. Pylorof and E. Bakolas (2018). “Stabilization of input constrained nonlinear systems with imperfect state feedback using sum-of-squares programming," 57th IEEE Conference on Decision and Control, Miami Beach, FL, USA.

D. Pylorof and E. Bakolas (2018). “Robust Distributed and Decentralized Control of Large-Scale Nonlinear Systems with Input Constraints Based on SOS Optimization," 2018 American Control Conference, Milwaukee, WI, USA.

D. Pylorof and E. Bakolas (2017). “Robust Control of Input Constrained Nonlinear Systems Subject to Unknown Bounded Disturbances Based on Convex Optimization," 2017 American Control Conference, Seattle, WA, USA.

D. Pylorof, S. Bettadpur and E. Bakolas (2017). “On the Robust Attitude Regulation for Earth Observation Spacecraft Under Hybrid Actuation," 27th AAS/AIAA Space Flight Mechanics Meeting, San Antonio, TX, USA (also in Vol. 160, Advances in the Astronautical Sciences, American Astronautical Society).

D. Pylorof and E. Bakolas (2016). “Analysis and Synthesis of Nonlinear Controllers for Input Constrained Systems Using Semidefinite Programming Optimization," 2016 American Control Conference, Boston, MA, USA.

D. Pylorof, E. Bakolas and R. P. Russell (2016) “A Nonlinear Controller for Low Thrust Stabilization of Spacecraft on CRTBP Orbits," 26th AAS/AIAA Space Flight Mechanics Meeting, Napa, CA, USA (also in Vol. 158, Advances in the Astronautical Sciences, American Astronautical Society).

D. Pylorof and E. Bakolas (2015). “Nonlinear Control Under Polytopic Input Constraints with Application to the Attitude Control Problem," 2015 American Control Conference, Chicago, IL, USA.

D. Pylorof and E. Bakolas (2015). “Tracking a Maneuvering Target with an Underactuated UAV in the SE(3) Space," 2015 AIAA Guidance, Navigation and Control Conference, Kissimmee, FL, USA.

D. Pylorof and K. J. Kyriakopoulos (2013). “Nonlinear, Deterministic Sampling Based State Estimation for Highly-Maneuverable Small UAVs: a Comparative Development," 2013 AIAA Guidance, Navigation and Control Conference, Boston, MA, USA.

Theses:

D. Pylorof (2018). “Optimization-based feedback control of nonlinear systems subject to input constraints," PhD Dissertation, University of Texas at Austin, Austin, TX, USA.

D. Pylorof (2012). “Nonlinear State Estimation for Small Unmanned Aircraft," Dipl.-Ing Thesis, National Technical University of Athens, Greece.

Presentations:

Awards:

U.S. Army Research Laboratory: Research Associateship Program Fellowships (May 2018, October 2018, December 2018) awarded by ARL/ORAU/ORISE on the basis of fundamental research proposals (“Advances in nonlinear control design: towards resilient embedded control of complex, large-scale and networked mission-critical systems” (2018) and “Optimization-based control of nonlinear network and networked systems” (2019))

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