SITEUPDATE Personal website redesigned as an academic homepage, with publications, Google Scholar tracking, and the original blog.个人网站改版为学术主页，新增论文列表、Google Scholar 引用追踪，并保留原有博客。
Biography个人简介
Zhongqi (Thomas) Zhao is a Postdoctoral Research Associate at Brookhaven National Laboratory, working on quantum computing for AC optimal power flow and machine learning pipelines for underground power-grid fault location.
Zhongqi's research sits at the intersection of quantum computing and power and energy systems: hybrid quantum-classical decomposition algorithms for mixed-integer programming, data center energy management, and distribution grid analytics such as PV hosting capacity, fault location, isolation and service restoration, and protection device placement.
Zhongqi received a Ph.D. in Electrical and Computer Engineering from the University of Houston in 2025, advised by Dr. Lei Fan and Dr. Zhu Han, and M.S. and B.S. degrees from the University of Minnesota - Twin Cities, the B.S. through a joint program with Beijing Jiaotong University.
Zhongqi (Thomas) Zhao 现为布鲁克海文国家实验室（Brookhaven National Laboratory）博士后研究员，从事量子计算在交流最优潮流（AC OPF）中的建模与分析，以及面向地下电缆电网故障定位的机器学习数据管线研究。
研究方向位于量子计算与电力/能源系统的交叉领域，包括：面向混合整数规划的量子-经典混合分解算法、数据中心能源管理，以及配电网分析（光伏承载力评估、故障定位隔离与供电恢复 FLISR、保护设备优化配置等）。
2025 年于休斯顿大学获得电子与计算机工程博士学位，导师为 Dr. Lei Fan 与 Dr. Zhu Han；此前在明尼苏达大学双城分校获得电气工程硕士学位，并通过与北京交通大学的联合培养项目获得电气工程与数学学士学位。
Research focus研究重点
Hybrid quantum-classical optimization for power and energy systems, from decomposition algorithms and open-source solvers to real utility and national-lab grid problems.面向电力与能源系统的量子-经典混合优化：从分解算法与开源求解工具，到电力公司与国家实验室的实际电网问题。
News最新动态
CAREER Joined Brookhaven National Laboratory as a Postdoctoral Research Associate.加入布鲁克海文国家实验室，任博士后研究员。
CAREER Received the Ph.D. in Electrical and Computer Engineering from the University of Houston. Dissertation: Hybrid Quantum-Classical Optimization for Data Center Energy System.获得休斯顿大学电子与计算机工程博士学位，博士论文：Hybrid Quantum-Classical Optimization for Data Center Energy System。
PAPERCONFERENCEQCNCSOFTWARE HQC-Bend: A Python Package of Hybrid Quantum-Classical Multi-cuts Benders' Decomposition Algorithm appeared at QCNC 2025. Code: djzts/HQCMCBD-API.
AWARDPOSTER Best Poster Presentation Honorable Mention, REIS Workshop 2024; named Chevron Energy Graduate Fellow and AEE Foundation Scholarship Fellow.
PAPERCONFERENCEPESGMPOWER Spatial-Temporal PV Hosting Capacity Estimation and Evaluation (NREL internship work) appeared at IEEE PES General Meeting 2024, Seattle.
Research研究方向
The work connects emerging quantum hardware with the large-scale optimization problems that power grids and energy-intensive infrastructure face every day.将新兴量子计算硬件与电网和高能耗基础设施日常面临的大规模优化问题联系起来。
Thread 01方向 01
Hybrid Quantum-Classical Optimization量子-经典混合优化
Hybrid quantum-classical and QAOA-assisted Benders' decomposition for mixed-integer programming on both quantum annealers and gate-based quantum computers, released as the open-source HQC-Bend package, and now extended to AC optimal power flow.面向混合整数规划的量子-经典混合 Benders 分解与 QAOA 辅助 Benders 分解，可在量子退火机和门模型量子计算机上求解；相关成果开源为 HQC-Bend 工具包，目前进一步拓展到交流最优潮流问题。
Thread 02方向 02
Data Center Energy Management数据中心能源管理
Co-optimizing energy supply and IT service scheduling for internet data centers, including emergency operation, as large-scale testbeds for hybrid quantum-classical methods.对互联网数据中心的能源供应与 IT 服务调度（包括应急运行）进行联合优化，并将其作为量子-经典混合方法的大规模应用场景。
Thread 03方向 03
Distribution Grid Analytics配电网分析与自动化
Spatial-temporal PV hosting capacity with battery storage (NREL), self-healing FLISR analysis and recloser/fuse placement for SAIFI reduction (Entergy Texas), and ML-ready data pipelines for underground fault location (Con Edison).含储能的光伏承载力时空评估（NREL）、自愈配电网 FLISR 分析与重合器/熔断器优化配置以降低 SAIFI（Entergy Texas），以及地下电缆故障定位的机器学习数据管线（Con Edison）。
Publications代表论文
Full list完整列表HQC-Bend: A Python Package of Hybrid Quantum-Classical Multi-cuts Benders' Decomposition Algorithm
Z. Zhao, M. Li, L. Fan, and Z. Han
International Conference on Quantum Communications, Networking, and Computing (QCNC), 2025
HQC-Bend: A Python Package of Hybrid Quantum-Classical Benders’ Decomposition
Z Zhao, M Li, L Fan, Z Han
IEEE INFOCOM 2025-IEEE Conference on Computer Communications Workshops …, 2025
Spatial-Temporal PV Hosting Capacity Estimation and Evaluation
Z. Zhao, Y. Yao, L. Fan, and F. Ding
IEEE Power & Energy Society General Meeting (PESGM), Seattle, WA, 2024
QAOA-Assisted Benders' Decomposition for Mixed-integer Linear Programming
Z. Zhao, L. Fan, Y. Guo, Y. Wang, Z. Han, and L. Hanzo
IEEE International Conference on Communications (ICC), Denver, CO, 2024
Lagrangian Relaxation Based Parallelized Quantum Annealing and its Application in Network Function Virtualization
W. Xuan, Z. Zhao, L. Fan, and Z. Han
IEEE Open Journal of the Communications Society, 2024
Optimal Energy and IT Service Emergency Schedule for Internet Data Center
Z. Zhao, L. Fan, and Z. Han
North American Power Symposium (NAPS), El Paso, TX, USA, 2024, pp. 1-6
CPPU: Policy space diversity for informative path planning and GAI-enabled updating CSI in ISAC
X Zhu, J Liu, T Zhang, Y Liu, C Wang, C Wang, Z Zhao, Z Han
IEEE Transactions on Cognitive Communications and Networking 11 (2), 777-790, 2024
A cancer nanovaccine based on an FeAl-layered double hydroxide framework for reactive oxygen species-augmented metalloimmunotherapy
M Chang, M Wang, B Liu, W Zhong, D Jana, Y Wang, S Dong, A Antony, ...
ACS nano 18 (11), 8143-8156, 2024
Education and Experience教育与工作经历
Postdoctoral Research Associate
Brookhaven National Laboratory, Upton, NY
Research Staff
University of Houston, Houston, TX
PSS/E Software Developer Engineering Intern
Siemens / Acara Solutions Inc., Houston, TX
Graduate Summer Intern
National Renewable Energy Laboratory (NREL), Golden, CO
Ph.D., Electrical and Computer Engineering
University of Houston, Houston, TX
Advisors导师: Dr. Lei Fan & Dr. Zhu Han
Dissertation: Hybrid Quantum-Classical Optimization for Data Center Energy System
M.S., Electrical Engineering
University of Minnesota - Twin Cities, Minneapolis, MN
B.S., Electrical Engineering and Mathematics
University of Minnesota - Twin Cities / Beijing Jiaotong University (Joint Program)
Honors荣誉奖励
- 🏅 Best Poster Presentation Honorable Mention, Monitoring, Prognosis and Control for Resiliency of Energy Infrastructure System (REIS) Workshop, 2024
- 🎓 Chevron Energy Graduate Fellow, University of Houston, 2024
- 💼 AEE Foundation Scholarship Fellow, Association of Energy Engineering (AEE) Foundation, 2024
Teaching教学经历
Teaching Assistant, University of Houston, 2021 - 2025. Lab sessions taught students to use PowerWorld Simulator and build intuition for power system operation.2021–2025 年任休斯顿大学助教，在实验课中指导学生使用 PowerWorld Simulator，建立对电力系统运行的直观理解。
- ELET4103Computer Based Power Distribution and Transmission LaboratoryInstructor授课教师: Dr. Wajiha Shireen
- ELET3402Communications CircuitsInstructor授课教师: Ms. Chandrayee Soneja and Dr. Gandhimathi Velusamy
- ELET2101Poly-Phase Circuits and Transformers LaboratoryInstructor授课教师: Dr. Lei Fan
- ELET4302Data Communication SystemsInstructor授课教师: Dr. Ahmed Abdelhadi
- ECE6335Digital Control SystemsInstructor授课教师: Dr. Robert Provence
- ECE3337Signals and Systems AnalysisInstructor授课教师: Dr. Rohith Reddy and Dr. Badrinath Roysam
- ELET2301Poly-phase Circuits and TransformersInstructor授课教师: Dr. Lei Fan
Skills技能
- Programming & Tools
- Python, MATLAB, Julia, LaTeX (advanced); Java, Fortran 90 (intermediate)
- Optimization & Modeling
- JuMP, Gurobi (advanced); Pyomo, CPLEX, GEKKO, D-Wave Ocean (intermediate)
- Power & Energy Tools
- PowerWorld Simulator, OpenDSSDirect.py (advanced); PSS/E, OPAL-RT (intermediate)
- Data & Visualization
- NumPy, Pandas, JSON (advanced); Bokeh, Tkinter (intermediate)
Blog博客
All posts全部文章2019.09.04
test_gittalk
前言歪个楼，Po一个自己最近超喜欢的音乐~《哈尼宝贝》- 南征北战 《大鱼》- 周深 & 郭沁
2019.09.02
防治抑郁，听影流之主有感
实在太魔性了，我出不去了。
前言这个实在是太魔性了，我扛不住，于是稍微扒了扒谱子就自己弹了弹+自己又加了一些，以前听到的比较魔性的曲子这里是原来的视频这里另外的时空这是自己随便搞搞的哈哈哈哈哈 关键词：魔性这里是现在的音频
2019.08.30
2019秋研究计划
Sparse data classification for DNN
前言这个主要是比较DNN 与 传统SVM 对于稀疏数据的区分/认识能力。 目前正在准备研究DNN对于稀疏数据的分类效果。论文的启发在于这里一些研究上的想法 关键词：DNN, Sparse_data, SVM,目前的想法是用80张Tr...