My CV
ResearchGateHi, I'm Qiqi Hu
- Master’s student at Tsinghua University (SIGS)
- Research: AI for Energy Storage, thermal safety modeling, diffusion models, robust machine learning
- Technical strengths: PyTorch, scientific ML, optimization, thermal modeling and multiphysics simulation
- Seeking PhD (Fall 2027) in Energy-AI, Battery Safety & Thermal Modeling, Scientific ML for Multiphysics Systems, and Physical Generative Models
- Email: chelseyhu111@gmail.com
About Me
I am currently a Master’s student at Tsinghua University, working in the Guangdong Provincial Key Laboratory of Thermal Management Engineering and Materials at the Shenzhen International Graduate School, supervised by Prof. Hongda Du. Previously, I was a visiting student at the Southern University of Science and Technology (SUSTech), advised by Prof. Feng Zheng(a recipient of the National Excellent Young Scientist Award), where I worked on trustworthy diffusion models and content security in AIGC. I received my Bachelor’s degree in Information Security from Qingdao University, where I conducted research under Prof. Hanlin Zhang — who completed his Ph.D. under Prof. Wei Yu, an NSF CAREER Awardee — focusing on privacy-preserving outsourcing computation and secure IoT systems. These experiences equipped me with solid research training in cybersecurity and trustworthy AI, providing a strong algorithmic foundation that now supports my interdisciplinary work in AI for Energy Storage.
I am always open to discussions and collaborations — feel free to email me.
Research Vision
My overarching goal is to harness artificial intelligence and optimization to accelerate innovation in low-carbon and sustainable energy systems.
I aim to bridge the gap between material thermal mechanisms, system operations, and energy safety control through data-driven, interpretable, and robust AI frameworks.
AI for Energy Storage
Focusing on data-driven modeling, safety early warning, and intelligent optimization for battery energy storage systems, exploring scientific machine learning and generative models for physical processes.
Battery Thermal Management & Energy Safety
Investigating thermal runaway suppression mechanisms in lithium-ion batteries and cooling strategies like PCM coupling under high-rate discharge thermal behaviors, using multiphysics simulation to enhance energy safety.
Optimization
Used to research AIGC content security (Diffusion model watermarking/adversarial defense) and IoT privacy protection, hoping to apply robust optimization to digital energy systems.
Academic Background
Shenzhen International Graduate School, Tsinghua University
Department of Computer Science and Engineering, SUSTech
School of Computer Science and Technology, Qingdao University