Last update: Aug. 2026.
Rui YAO
Rui YAO
Ph.D. SMIEEE
yaorui [dot] thu [at] gmail [dot] com
ORCID: 0000-0002-0227-2750
Last update: Aug. 2026.
Ph.D. SMIEEE
yaorui [dot] thu [at] gmail [dot] com
ORCID: 0000-0002-0227-2750
Energy Systems Modeling and Simulation
Multi-timescale and Multi-physics simulation of energy systems
Efficient simulation of multiple timescales in of power grid blackouts [2016tpwrs]
Modeling of coupled thermal processes and weather impacts [2017tpwrd , 2018tsg, 2019tpwrs-sim-opt]
Natural gas system transient modeling and simulation [2021lcss]
Data-driven and machine-learning based modeling of energy systems
Optimization, Machine learning application
Classic LP/MILP/Non-linear Optimization, and Synergy with Simulation and Machine learning
Optimal natural disaster and blackout mitigation [2018tpwrs-opt-mitigation , 2017tpwrs-treesearch, 2019tpwrs-sim-opt ]
Second-order optimal approximate analytical solution of transmission line temperature dynamics [2017tpwrd]
Nonlinear extension of power grid distribution factor [2020pesl-df]
Machine learning model embedding for complex constraints in MIP [2022tpwrs-fcuc]
Optimal cyber restoration [2021tsg-cyber-restoration , 2023tsmc-cyber]
Multi-agent distributed generation control [2022tpwrs-dl]
Advanced Computational Methods
Semi-analytical (semi-symbolic) solution technology for numerical convergence enhancement, parallel computing, extended-term co-simulation [2020tpwrs-dysim , 2019tpwrs-vsa , 2020pesl-pade , 2022tpwrs-parallel , 2023ienergy-extendedterm, 2021lcss, 2020pesl-df] [github-gensas , github-powersas ] [book chapter]
Efficient uncertainty quantification (UQ) and decision making based on tree search technique [2018tpwrs-opt-mitigation , 2017tpwrs-treesearch, 2018tsg]
PowerSAS.m (GitHub, FERC talk) - MATLAB/GNU Octave
PowerSAS.m is a robust, efficient and scalable power grid analysis framework based on semi-analytical solutions (SAS) technology. It features high numerical robustness, enhanced computational performance with HPC potentials, and flexibility for customized simulation.
GenSAS (GitHub, WebApp Demo) - C++/Modelica
GenSAS is a C++ based generalized simulation tool based on semi-analytical solutions (SAS) technology. It provides two modules:
ModelicaSAS is a SAS-based simulation tool that supports Modelica modeling language. Currently it supports simulation of single Modelica model.
PowerSAS is a robust, efficient and scalable power grid analysis framework based on semi-analytical solutions (SAS) technology. This is the version for C++ users. It currently provides AC power flow functionality.
Tsinghua University Beijing, China
Ph.D. Electrical Engineering (Advisor: Prof. Shengwei Mei) July, 2016
Tsinghua University Beijing, China
B.Eng. Electrical Engineering (with distinction, <2%) July, 2011
2022 - 2026 X, the Moonshot Factory (formerly Google [X] labs) - Member of Technical Staff, project Tapestry
Tech lead - Modeling and Simulation, Power Grid Interconnection
Featured skills: Scalable computation architecture, GitHub, Google Cloud, DevOps, Synergy (Simulation, Optimization, Machine learning).
2018- 2022 Argonne National Laboratory - Energy Systems Scientist
Led/Co-led 6 U.S. Department of Energy and Lab-directed projects (2 as PI, 4 as Co-PI), total grant amount ~$3.5M.
Built in-house data ingestion pipeline for collecting real-time US utility power outage data. Collected 1.4 billion records by Jan 2022 and supported multiple machine learning efforts.
Developed novel semi-analytical solutions (SAS) framework, a disruptive novel technique for robust and high-performant computation. (Talk invited by FERC , Impact Argonne Award , open-source software PowerSAS.m (Matlab), open-source software GenSAS (C++) )
2016 - 2018 NSF-DOE ERC for Ultra-wide-area Resilient Electric Energy Transmission Networks (CURENT),
University of Tennessee, Knoxville - Research Staff (with Prof. Kai Sun)
Editor, IEEE Transactions on Power Systems. 2020-2024.
Young Editorial Board (YEB) Member, Advances in Applied Energy. 2020-2025.
Editor, IEEE Power Engineering Letters. 2020-2024.
Visiting scholar at Skolkovo Institute of Science and Technology (the MIT-Skoltech Initiative), Moscow, Russia (with Prof. Janusz Bialek), Sept-Oct. 2015, on risk assessment and mitigation of cascading outages and blackouts.
Visiting scholar at University of Tennessee, USA (with Prof. Kai Sun), Sept. 2014-Apr. 2015, on multi-timescale simulation of cascading outages.
Editor, International Transactions on Electric Energy Systems, 2020-2022.
Leadership board member in IEEE PES Computing and Analytic Methods Subcommittee (Link: CAMS), 2020-present.
Leadership board member in IEEE working group on understanding, prediction, mitigation and restoration of cascading failures (CFWG), 2019- present.
Senior Member of IEEE, since 2020. Member of IEEE, since 2012.
Member of INFORMS, since 2018.
Secretary, North American Chinese Power Professional Association (NACPPA). 2020-2025.
The association has 1000+ active members mainly in North America, China and Europe, across power & energy, government, research, tech and other industries.
As secretary, I coordinate routine workflow of the association, and in charge of some key domains, including annual member gathering event, regular technical seminars, and outreach.
During appointment at Argonne National Laboratory
PI. "A Novel Security Analysis Toolbox for National Grid Resilience Modeling" ($840,000), funded by U.S. Department of Energy Office of Electricity, Advanced Grid Modeling (AGM) Program. 2020-2022. (link)
PI. "Adaptive-scale multivariate semi-analytical computation approach for transient simulation of networked energy systems in national resilience analysis"($50,000), Laboratory Directed Research and Development (LDRD) grant. Argonne National Laboratory. 2020.
Co-PI. "Outage Prediction and Grid Vulnerability Identification Using Machine Learning on Utility Outage Data", funded by U.S. Department of Energy Office of Electricity, Advanced Grid Modeling (AGM) Program. 2020-2023. (link)
Co-PI. "Advanced Computational Algorithms for Power System Restoration", funded by U.S. Department of Energy Office of Electricity, Advanced Grid Modeling (AGM) Program. 2020-2022. (link)
Co-PI. "A Risk Assessment and Mitigation Framework for Fire Hazards Caused by Power Delivery Infrastructure" ($500,000), Laboratory Directed Research and Development (LDRD) grant. Argonne National Laboratory. 2019-2020.
Co-PI. "A Novel Security Analysis Toolbox for National Grid Resilience Modeling" ($50,000), Laboratory Directed Research and Development (LDRD) grant. Argonne National Laboratory. 2019.
(For full list, please visit my Google Scholar page)
Note: full-text links are pre-publication versions, except those explicitly marked as "published full-text" and linked to the journal's official site.*Corresponding author.Book Chapters:
[BC2] Rui Yao, Kai Sun, Feng Liu, Shaowei Huang, Shengwei Mei, "Multi-Timescale Simulation, Risk Assessment and Migitation of Cascading Outages", in Cascading Failures in Power Grids, Springer, 2024.
[BC1] Rui Yao, Kai Sun, Feng Qiu, "Power System Simulation Using Holomorphic Embedding Methods", in Power System Simulation Using Semi-Analytical Methods, Wiley & IEEE, 267-351, 2023. (LINK: Wiley , Google Books Preview )
Journals:
[J31] Chen Xu, Yao Xie, Daniel Vazquez, Rui Yao, Feng Qiu, "Spatio-Temporal Wildfire Prediction using Multi-Modal Data", IEEE Journal on Selected Areas in Information Theory, 2023.
[J30] Yichen Zhang, Jianzhe Liu, Feng Qiu, Tianqi Hong, Rui Yao. "Deep active learning for solvability prediction in power systems", Journal of Modern Power Systems and Clean Energy 10 (6), 1773-1777
[J29] Rui Yao, Dongbo Zhao, A.P. Sakis Meliopoulos, Chanan Singh, Joydeep Mitra, Feng Qiu, “Advanced extended-term simulation approach with flexible quasisteady-state and dynamic semi-analytical simulation engines”, iEnergy. 2022, 1 (1) : 124-132. https://doi.org/10.23919/IEN.2022.0006.
[J28] Yichen Zhang, Jianzhe Liu, Feng Qiu, Tianqi Hong, Rui Yao, “Deep Active Learning for Solvability Prediction in Power Systems”, Journal of Modern Power Systems and Clean Energy, accepted.
[J27] Rui Yao, Feng Qiu, Kai Sun, “Contingency Analysis Based on Partitioned and Parallel Holomorphic Embedding”, IEEE Transactions on Power Systems, in press. (LINK: IEEEXplore, full-text)
[J26] Yichen Zhang, Hantao Cui, Jianzhe Liu, Feng Qiu, Tianqi Hong, Rui Yao, Fangxing Li, "Encoding Frequency Constraints in Preventive Unit Commitment Using Deep Learning with Region-of-Interest Active Sampling", IEEE Transactions on Power Systems, in press. (LINK: IEEEXplore)
[J25] Dong Chen, Kaian Chen, Zhaojian Li, Tianshu Chu, Rui Yao, Feng Qiu, Kaixiang Lin, "PowerNet: Multi-agent Deep Reinforcement Learning for Scalable Powergrid Control", IEEE Transactions on Power Systems, in press. (LINK: IEEEXplore)
[J24] Xin Xu, Rui Yao*, Kai Sun, Feng Qiu, "A Semi-Analytical Solution Approach for Solving Constant-Coefficient First-Order Partial Differential Equations", IEEE Control Systems Letters, 6, 704-709, 2021. (LINK: IEEEXplore, full-text)
[J23] Yuxiao Liu, Ning Zhang, Dan Wu, Audun Botterud, Rui Yao, Chongqing Kang, "Searching for Critical Power System Cascading Failures with Graph Convolutional Network", IEEE Transactions on Control of Network Systems, 8 (3), 1304-1313, 2021. (LINK: IEEEXplore)
[J22] Tianqi Hong, Dongbo Zhao, Yichen Zhang, Rui Yao, Feng Qiu, "Thermal Overloading Risk Mitigation with a Semi-Analytical Probabilistic Model on Branch Current", IEEE Transactions on Power Systems, 36 (4), 3384-3393, 2021. (LINK: IEEEXplore)
[J21] Shamsun Nahar Edib, Yuzhang Lin, Vinod Vokkarane, Feng Qiu, Rui Yao, Dongbo Zhao, "Optimal PMU Restoration for Power System Observability Recovery After Massive Attacks", IEEE Transactions on Smart Grid, 12 (2), 1565-1576, 2021. (LINK: IEEEXplore)
[J20] Rui Yao, Feng Qiu, "Novel AC Distribution Factor for Efficient Outage Analysis", IEEE Transactions on Power Systems, 35 (6), 4960-4963, 2020. (LINK: IEEEXplore, full-text)
[J19] Bai Cui, Rui Yao, Feng Qiu, "Certification and prediction of post-disturbance states in dynamic security assessment", Electric Power Systems Research, 189, 106751, 2020. (LINK: Elsevier)
[J18] Jie Xu, Rui Yao*, Feng Qiu, "Mitigating Cascading Outages in Severe Weather Using Simulation-based Optimization", IEEE Transactions on Power Systems, 36 (1), 204-213, 2021. (LINK: IEEE Xplore, full-text).
[J17] Boda Li, Ying Chen, Shaowei Huang, Rui Yao, Yue Xia, Shengwei Mei, "Graphical Evolutionary Game Model of Virus-Based Intrusion to Power System for Long-term Cyber-Security Risk Evaluation", IEEE Access, 7, pp. 178605-178617, 2019. (Open Access LINK: IEEE Xplore)
[J16] Zhimei Zhang, Rui Yao, Shaowei Huang, Ying Chen, Shengwei Mei, Kai Sun, "An Online Search Method for Representative Risky Fault Chains Based on Reinforcement Learning and Knowledge Transfer", IEEE Transactions on Power Systems, 35 (3), 1856 - 1867, 2020. (LINK: IEEE Xplore)
[J15] Rui Yao, Yang Liu, Kai Sun, Feng Qiu, Jianhui Wang,"Efficient and Robust Dynamic Simulation of Power Systems with Holomorphic Embedding", IEEE Transactions on Power Systems, 35 (2), 938 - 949, 2020. (LINK: IEEE Xplore, full-text)
[J14] Ziyou Song, Shuo Feng, Lei Zhang, Zunyan Hu, Xiaosong Hu, Rui Yao*, "Economy Analysis of Second-Life Battery in Wind Power Systems Considering Battery Degradation in Dynamic Processes: Real Case Scenarios", Applied Energy, 251, 113411, 2019. (LINK: Elsevier)
[J13] Rui Yao, Kai Sun, Feng Qiu, “Vectorized Efficient Computation of Padé Approximation for Semi-Analytical Simulation of Large-Scale Power Systems,” IEEE Transactions on Power Systems, 34 (5), 3957-3959, 2019. (LINK: IEEE Xplore, full-text)
[J12] Yang Liu, Kai Sun, Rui Yao, Bin Wang, “Power System Time Domain Simulation Using a Differential Transformation Method,” IEEE Transactions on Power Systems, 34 (5), 3739-3748, 2019. (LINK: IEEE Xplore, full-text)
[J11] Rui Yao, Kai Sun, Di Shi, Xiaohu Zhang, “Voltage Stability Analysis of Power Systems with Induction Motors Based on Holomorphic Embedding”. IEEE Transactions on Power Systems, 34 (2), 1278-1288, 2019. (LINK: IEEE Xplore, full-text)
[J10] Rui Yao, Kai Sun, “Towards Simulation and Risk Assessment of Weather-Related Outages”. IEEE Transactions on Smart Grid, 10 (4), 4391-4400, 2019. (LINK: IEEE Xplore, full-text)
[J9] Ksenia Letova, Rui Yao, Mikhail Davidson, Ekaterina Afanasyeva. "A Review of Electricity Markets and Reforms in Russia". Utilities Policy, 53, pp. 84-93, 2018. (LINK: Elsevier, full-text)
[J8] Wenyun Ju, Kai Sun, Rui Yao, “Simulation of Cascading Outages Using a Power Flow Model Considering Frequency". IEEE Access, 6, pp. 37784-37795, 2018. (Open Access LINK: IEEE Xplore)
[J7] Ksenia Letova, Rui Yao, Mikhail Davidson, Janusz Bialek. "The electricity market in Russia" (invited). Oxford Energy Forum, 114, pp. 32-35, 2018. (LINK to the Issue: Published full-text)
[J6] Rui Yao, Kai Sun, Feng Liu, Shengwei Mei. "Management of Cascading Outage Risk Based on Risk Gradient and Markovian Tree Search". IEEE Transactions on Power Systems, 33 (4), 4050-4060, 2018. (LINK: IEEE Xplore, arXiv, full-text)
[J5] Rui Yao, Kai Sun, Feng Liu, Shengwei Mei. "Efficient Simulation of Temperature Evolution of Overhead Transmission Lines Based on Analytical Solution and NWP". IEEE Transactions on Power Delivery, 33 (4), 1576-1588, 2018. (LINK: IEEE Xplore, full-text)
[J4] Rui Yao, Shaowei Huang, Kai Sun, Feng Liu, Xuemin Zhang, Shengwei Mei, Wei Wei, Lijie Ding. "Risk Assessment of Multi-timescale Cascading Outages based on Markovian Tree Search". IEEE Transactions on Power Systems, 32 (4), 2887-2900, 2017. (LINK: IEEE Xplore, full-text)
[J3] Rui Yao, Shaowei Huang, Kai Sun, Feng Liu, Xuemin Zhang, Shengwei Mei, “A Multi-timescale Quasi-Dynamic Model for Simulation of Cascading Outages”, IEEE Transactions on Power Systems, 31 (4), 3189-3201, 2016. (LINK: IEEE Xplore, full-text)
[J2] Chaoping Yang, Rui Yao, Shuang Zhang, Yujia Gu, Chen Shen, "Cascading outage risk mitigation method coordinating economy and security in power systems " (in Chinese), Advanced Technology of Electrical Engineering and Energy , 36(12), 71-78, 2017. (LINK: Published full-text (HTML))
[J1] Rui Yao, Shaowei Huang, Feng Liu, "Multi-Timescale Cascading Outage Model Considering Generator Excitation Protection and OLTC" (in Chinese), Power System Technology, 39(4), 1075-1081, 2015. (LINK: Published full-text (PDF), English abstract: Engineering Village)
Conferences:
[C11] Min Xiong, Rui Yao, Yang Liu, Kai Sun, Feng Qiu, "Semi-Analytical Electromagnetic Transient Simulation Using Differential Transformation", 2022 4th International Conference on Smart Power & Internet Energy Systems (SPIES).
[C10] Rui Zhang, Yao Xie, Rui Yao, Feng Qiu, "Online detection of cascading change-points using diffusion networks", 2022 58th Annual Allerton Conference on Communication, Control, and Computing.
[C9] Xin Xu, Rui Yao*, Kai Sun, Feng Qiu, "A Semi-Analytical Solution Approach for Solving Constant-Coefficient First-Order Partial Differential Equations", IEEE Conference on Decision and Control, 2021.
[C8] Shamsun Nahar Edib, Yuzhang Lin, Vinod Vokkarane, Feng Qiu, Rui Yao, Dongbo Zhao, "PMU and Communication Infrastructure Restoration for Post-Attack Observability Recovery of Power Grids", 2020 IEEE SmartGridComm.
[C7] Alexander Flueck, Ian Dobson, Zhenyu Huang, N. Eva Wu, Rui Yao, Greg Zweigle, "Dynamics and Protection in Cascading Outages ," accepted by 2020 IEEE PES General Meeting.
[C6] Yang Liu, Kai Sun, Bin Wang, Rui Yao, Wei Kang, "A Sparse Grid Scheme for Fast Transient Stability Simulation with Reduced Redundancy," 2019 IEEE PES Power Tech, Milano, Italy. June 2019.
[C5] Wenyun Ju, Rui Yao, Kai Sun, Chien-fei Chen, "Demand Response to Help Mitigate Cascading Outages: A Case Study on the 2011 Tornado Super Outbreak," 2019 IEEE PES General Meeting, Atlanta, GA, USA. Aug. 2019.
[C4] Wenyun Ju, Kai Sun, Rui Yao, "Interaction Graph-Based Active Islanding to Mitigate Cascading Outages," 2019 IEEE PES General Meeting, Atlanta, GA, USA. Aug. 2019.
[C3] IEEE working group on understanding, prediction, mitigation and restoration of cascading failures. "Benchmarking Quasi-Steady State Cascading Outage Analysis Methodologies". 2018 IEEE International Conference on Probabilistic Methods Applied to Power Systems (PMAPS). Boise, ID, USA. June 2018. (LINK: preprint)
[C2] Rui Yao, Xuemin Zhang, Shaowei Huang, Shengwei Mei, Zhen'an Zhang, Xiaomeng Li, Quansheng Zhu,“Cascading outage preventive control for large-scale AC-DC interconnected power grid,” (Best Paper) IEEE Power and Energy Society General Meeting, National Harbor, MD, USA. July 2014. (LINK: IEEE Xplore)
[C1] Rui Yao, Feng Liu, Guangyu He, Bing Fang, Liangyi Huang, “Static security region calculation with improved CPF considering generation regulation,” IEEE International Conference on Power System Technology (POWERCON), Auckland, New Zealand. Oct. 2014. (LINK: IEEE Xplore)
Preprints:
[P2] Xin Xu, Rui Yao, Kai Sun, Feng Qiu, "Simulation of Transients in Natural Gas Networks via A Semi-analytical Solution Approach", arXiv preprint arXiv:2210.03298.
[P1] Chen Xu, Daniel Vazquez, Rui Yao, Feng Qiu, Yao Xie, "Wildfire modeling with point process and conformal prediction", arXiv preprint arXiv:2207.13250.
Outstanding Editorial Board Member 0f 2024, IEEE Transactions on Power Systems.
Outstanding Editorial Board Member of 2020, 2021, International Transactions on Electrical Energy Systems.
Impact Argonne Award (2020), Argonne National Laboratory.
Best Reviewer of 2019, IEEE Transactions on Power Delivery.
Best Reviewer of 2017, IEEE Transactions on Smart Grid.
Best Paper, 2014 IEEE Power and Energy Society General Meeting.
[T23] "A High efficiency and Numerically Robust Computing Tool for Power Grid Resilience Analysis", (panel session), IEEE PES General Meeting (virtual meeting). Jul, 26, 2020.
[T22] "A High-efficiency and Numerically Robust Computing Tool for Power Flows and Dynamic Simulation", FERC Technical Conference on Increasing Market and Planning Efficiency through Improved Software, Jun. 24, 2021. (link)
[T21] "Novel semi-analytical computation approaches for power grid resilience analysis and enhancement" (panel session), IEEE PES Innovative Smart Grid Technologies (ISGT), Feb. 16, 2021.
[T20] "Semi-analytical Solutions: A Novel Computational Approach For Energy Systems Analysis", INFORMS Annual Meeting (virtual). Nov. 9, 2020.
[T19] "Toward Simulation, Risk Assessment and Mitigation of Weather Hazards to Power Grids" (panel session), IEEE PES General Meeting (virtual meeting). Aug. 4, 2020.
[T18] "Real Transmission and Distribution Outage Data Collection and Statistical Analysis to Model and Quantify Resilience" (panel session), IEEE PES General Meeting (virtual meeting). Aug. 4, 2020.
[T17] "Semi-Analytical Solutions for Energy System Studies 101", in CEEESA brown-bag seminar, Argonne National Laboratory.
[T16] "Modeling and Prediction of Weather induced Outages Using Neural Networks" (panel session), IEEE PES Innovative Smart Grid Technologies (ISGT). Washington DC, USA. Feb. 20, 2020.
[T15] "Modeling and Prediction of Weather induced Power Outages Using Neural Networks", Poster presentation at the Physics-Informed Machine Learning (PIML) workshop. Santa Fe, NM, USA. Jan. 13, 2020.
[T14] "Modeling, Analysis and Prediction of Weather-induced Outages Using Graph Convolutional Networks", INFORMS Annual Meeting. Seattle, WA, USA. Oct. 22, 2019.
[T13] "Quickest Detection of Cascading Failure", joint work of Rui Zhang (Georgia Tech), Rui Yao (Argonne), Feng Qiu (Argonne) and Yao Xie (Georgia Tech), INFORMS Annual Meeting. Seattle, WA, USA. Oct. 20, 2019.
[T12] "Voltage Stability Analysis of Power Systems with Induction Motors Based on Holomorphic Embedding" IEEE PES General Meeting. Atlanta, GA, USA. Aug. 7, 2019.
[T11] "Towards Simulation and Risk Assessment of Weather-Related Outages" IEEE PES General Meeting. Atlanta, GA, USA. Aug. 6, 2019.
[T10] "Assimilating Outage Data with Weather Information" (panel session), IEEE PES General Meeting. Atlanta, GA, USA. Aug. 6, 2019.
[T9] "Analysis and Prediction of Weather-Induced Outages Using Machine Learning " (panel session), IEEE PES Innovative Smart Grid Technologies (ISGT). Washington DC, USA. Feb. 18, 2019.
[T8] "Management of Cascading Outage Risk Based on Risk Gradient and Markovian Tree Search", IEEE PES General Meeting. Portland, OR, USA. Aug. 7. 2018.
[T7] "Efficient Simulation of Temperature Evolution of Overhead Transmission Lines Based on Analytical Solution and NWP", IEEE PES General Meeting. Portland, OR, USA. Aug. 7. 2018.
[T6] “Risk Assessment of Multi-timescale Cascading Outages based on Markovian Tree Search”, IEEE PES General Meeting. Chicago, IL, USA. Jul. 18. 2017.
[T5] “A Multi-timescale Quasi-Dynamic Model for Simulation of Cascading Outages”, IEEE PES General Meeting. Chicago, IL, USA. Jul. 18. 2017.
[T4] “On multi-timescale simulation and efficient risk assessment of cascading outages”, CURENT SLC seminar, the University of Tennessee, Knoxville, TN, USA. Feb. 3. 2017.
[T3] “Multi-timescale simulation and coordinated risk optimization of cascading outages in power systems”, Skolkovo Institute of Science and Technology, Moscow, Russia. Oct. 1. 2015. (Abstract)
[T2] “Cascading outage preventive control for large-scale AC-DC interconnected power grid”, IEEE PES General Meeting, National Harbor, MD, USA. Jul. 29. 2014.
[T1] “Static security region calculation with improved CPF considering generation regulation”, IEEE POWERCON. Auckland, New Zealand. Oct. 2012.
[L4] "Cascading Outages in Power Systems", in Prof. Kai Sun's course "Power Systems Analysis II" (ECE 522), the University of Tennessee, Knoxville. Feb. 20, 2018.
[L3] "An Introduction of Cascading Outages in Power Systems", in course "Power System Operations and Planning" (ECE422), the University of Tennessee, Knoxville. Apr. 28, 2017.
[L2] "Understanding, prediction and mitigation of cascading outages in power systems" in Prof. Kai Sun's course "Power Systems Analysis II" (ECE 522), the University of Tennessee, Knoxville. Apr. 20, 2017.
[L1] "On modeling and simulation of multi-timescale cascading outages in power systems" in Prof. Shengwei Mei's course "Power System Complexity and Security of Power Grid", Tsinghua University. May. 6, 2015.
2020 INFORMS Annual Meeting, General session ThB12. "Machine Learning in Energy Systems". Nov. 12, 2020.
2021 IEEE PES ISGT Conference, Panel session "Advanced Computational Methods and Tools for Power System Resilience Analysis". Feb. 16, 2021.
2021 IEEE PES General Meeting, Panel session "Tackling cascading outages under emerging internal and external factors: methodologies, tools and industrial practices". Jul. 26, 2021.
U.S. Department of Energy, Office of Science, EERE
Performed over 600 peer-reviews on journals and conferences
Journals
IEEE Transactions on Power Systems, IEEE Transactions on Smart Grid, IEEE Transactions on Sustainable Energy, IET Generation, Transmission & Distribution, Journal of Control Science and Engineering, IEEE Transactions on Industrial Informatics, International Journal of Electrical Power & Energy Systems (IJEPES), Science China - Technological Sciences, IEEE Access, IEEE Transactions on Power Delivery, International Energy Journal, Physica A, IEEE Systems Journal, Journal of Environmental Management, International Transactions on Electrical Energy Systems, IEEE Power Engineering Letters, IET Renewable Power Generation, Journal of Modern Power System and Clean Energy (MPCE), ACS Environmental Science & Technology, IEEE Transactions on Systems, Man and Cybernetics: Systems.
Conferences
IEEE PES General Meeting (2017-2023), Chinese Control and Decision Conference (2018), IEEE Power Africa Conference(2018), IEEE PES GTD Asia (2019), IEEE Texas Power and Energy Conference (2019), Chinese Control Conference (2019), IEEE PES ISGT Asia (2019), IEEE PES ISGT (2020, 2021).
Chinese (native)
English (full-professional proficiency)
Russian (professional-working proficiency)
Japanese (limited working proficiency)
FAA private pilot (ASEL), March 2018 - present
Add-on: High performance (>200 horse power) endorsement.
Knowledge of: Airplane systems, General aviation operations, Federal Aviation Regulations (FAR, 14 CFR), Aviation meteorology, Energy systems on airplanes.
About 60 hours of airplane operation experience.
Passed CFA Level 1 exam