About me

I am a postdoctoral researcher in the Laboratory for Information and Decision Systems (LIDS) at MIT. Before joining MIT, I was a postdoc researcher in the Department of Electrical and Computer Engineering at Texas A&M University where I obtained my Ph.D. degree in 2021. My research focuses on data analytics, physical/cyber resilience enhancement, and security analysis in massively digitized power grid. From September to December of 2018, I was a visiting Ph.D. student in the LIDS at MIT. My industry experience includes an internship at ISO-New England in 2018 and an internship at Mitsubishi Electric Research Laboratories in 2019.

Announcements

I will join the ECE department at San Diego State University as a tenure-track Assistant Professor, starting Aug. 2022. My research focuses on data analytics, cyber security, and modeling and control of electric energy systems with inverter-based resources. My research group has two fully funded Ph.D. positions. If you are interested in joining my research group, please email your CV and transcript to “tonghuang21 AT gmail DOT com”

[Sep. 2021] Our paper titled “A Neural Lyapunov Approach to Transient Stability Assessment of Power Electronics-interfaced Networked Microgrids” has been accepted by IEEE Transactions on Smart Grid. [Arxiv]

[Sep. 2021] Our paper titled “Enabling Secure Peer-to-peer Energy Transaction through Dynamic Watermarking in Future Distribution Grids” has been published in IEEE Electrification Magazine. [Link]

[Aug. 2021] Our paper titled “Distributed Learning-based Stability Assessment for Large Scale Networks of Dissipative Systems” has been accepted by 2021 60th Conference on Decision and Control (CDC2021).

[Aug. 2021] I obtain my Ph.D. degree!

[May 2021] I’ve successfully defended my thesis entitled “Physical and Cyber Anomaly Management in Massively Digitized Power Systems.”

[Jan. 2021] We received the Best Paper Award, (top 0.76% of 1448 papers submitted) in the 54-th Hawaii International Conference on System Sciences (HICSS 54) for our paper titled “A Neural Lyapunov Approach to Transient Stability Assessment in Interconnected Microgrids.” [Link]

[Jun. 2020] We received the Best Paper Award, (top 5% of 1600 papers submitted) in IEEE Power and Energy Society (PES) General Meeting 2020 for our paper titled “A Holistic Framework for Parameter Coordination of Interconnected Microgrids Against Disaster.” [News][Link]

[Mar. 2020] Our paper titled “A Synchrophasor Data-Driven Method for Forced Oscillation Localization Under Resonance Condition” has been accepted by IEEE Transactions on Power Systems. [Link]