Jason Poon

The goal of my research is to develop power electronics systems endowed with advanced control, optimization, and computing capabilities that can enable seamless and sustainable ways of powering the world. Such advances in power electronics have the potential to unleash a new generation of power systems that have vastly superior controllability, autonomy, and resiliency.

I have built systems that enable the large-scale integration of solar energy with the electric grid using innovative autonomous controllers, and have architected a neuromorphic-inspired computing platform that enables such controllers to be implemented in a practical and efficient way. In general, I work at the intersection of diverse domains including including decentralized control and optimization, analog and neuromorphic computing, and predictive and AI-based controls.

I am currently a Visiting Scholar in the EE department at Stanford and an Affiliate Researcher in the Energy Technologies Area at Lawrence Berkeley National Lab. I received my Ph.D. in EECS from UC Berkeley in 2019, and was a postdoc in EE at Stanford from 2019 to 2021.

CV   |   Google Scholar   |   TechRxiv   |   ORCID

The Power Electronics-Enabled Smart Grid

I delivered a lecture for the Stanford Smart Grid Seminar on Feb. 11, 2021.

Representative Papers

Real-time selective harmonic minimization using a hybrid analog/digital computing method
J. Poon, M. Sinha, S. V. Dhople, J. M. Rivas
IEEE Transactions on Power Electronics (Accepted for Publication)

Decentralized carrier phase shifting for optimal harmonic minimization in asymmetric parallel-connected inverters
J. Poon, B. B. Johnson, S. V. Dhople, J. M. Rivas
IEEE Transactions on Power Electronics, vol. 36, no. 5, pp. 5915-5925, May 2021

Minimum Distortion Point Tracking
J. Poon, B. B. Johnson, S. V. Dhople, S. R. Sanders
IEEE Transactions on Power Electronics, vol. 35, no. 10, pp. 11013-11025, Oct. 2020

Decentralized interleaving of parallel-connected buck converters
M. Sinha, J. Poon, B. B. Johnson, M. Rodriguez, S. V. Dhople
IEEE Transactions on Power Electronics, vol. 34, no. 5, pp. 4993-5006, May 2019

Selected Awards and Honors

  • EERE Postdoctoral Research Award (2019-2021)
  • Outstanding Reviewer, IEEE Transactions on Energy Conversion (2018)
  • Best Paper Award, IEEE Workshop on Control and Modeling for Power Electronics (2016)



Our work on mixed-signal computing for power electronics has been accepted for publication in the IEEE Transactions on Power Electronics and is available as a preprint on TechRxiv. We demonstrate a hardware prototype of a neuromorphic-inspired computing platform for solving complex optimal control problems in real-time.


Presented our work at APEC 2021 on a mixed-signal computing platform for solving online optimization problems for power electronics systems in a fast and energy-efficient manner. See the conference paper for more details.


Delivered a lecture titled 'The Power Electronics-Enabled Smart Grid' for the Stanford Smart Grid Seminar. A recording of the event is available here.


Our latest work has been published in the IEEE Transactions on Power Electronics and is available on IEEE Xplore. We show how minimum distortion point tracking can significantly improve the power quality and stability of large-scale, distributed solar inverter systems.


Presented an overview poster of my latest research at an NSF-sponsored workshop on power systems and machine learning in Alexandria, VA

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