I work at The National Key Laboratory of Autonomous Intelligent Unmanned Systems, Tongji University as a professor. In the lab, I cowork with He Bin (何斌).

I am now working on smart cities, community resilience, climate change and energy saving devices and strategies. If you are seeking any form of academic cooperation, please feel free to email me at kelvinfkr2024@outlook.com. I will have a Ph.D. opening next year and looking for RAs.

I graduated from Tsinghua University with a bachelor’s degree in civil engineering advised by Quanwang Li (李全旺) and a dual bachelor degress in math advised by Jun Ye（叶俊）. I graduated with a Ph.D’s degree in civil and environmental engineering (CEE) advised by Ning Lin and did a post doc there also. I also worked as a STEP research fellow under supervison of Michael Oppenheimer at Center for Policy Research on Energy and the Environment (C-PREE) and Princeton School of Public and International Affairs (SPIA) at Princeton University.

I also collaborate with Young experts as Wei Ma (马玮), Dazhi Xi (席大智), Cao Wang (王草) and Xuanhong Chen (陈炫宏) and senior experts as Robert Kopp, Bruce Ellingwood and Min Ouyang (欧阳敏) closely.

I have published 20+ papers. For a full list of pubilcations, you could go to my google scholar:.

我去年入选国家高层次青年人才（海外），上海市领军人才（海外），目前在同济大学的国家智能无人系统重点实验室担任教授，与何斌教授合作。我们的研究方向涵盖智慧城市、社区韧性、气候变化以及节能设备和策略。如果您有任何形式的学术合作意向，请随时通过kelvinfkr2024@outlook.com与我联系。我目前科研经费充裕。我有一个明年入学的博士名额，并正在寻找研究助理。

我毕业于清华大学，获得工程学士学位，导师是李全旺教授，并且获得数学双学位，导师是叶俊教授。我在普林斯顿大学获得工程博士学位，导师是Lin Ning教授，后在那里进行了博士后研究。我还在普林斯顿大学的能源与环境政策研究中心（C-PREE）和普林斯顿大学公共与国际事务学院（SPIA）担任STEP研究员，导师为Michael Oppenheimer教授。

我还与青年专家如马玮、席大智、王草和陈炫宏，以及资深专家如Robert Kopp，Bruce Ellingwood 和欧阳敏紧密合作。

我已发表20多篇论文。欲了解完整的发表清单，请访问我的谷歌学术主页。

🔥 News

• 2024.04: I join The National Key Laboratory of Autonomous Intelligent Unmanned Systems, Tongji University as a professor.

📝 Selected Publications

Nature Communications

Tropical cyclone-blackout-heatwave compound hazard resilience in a changing climate
Kairui Feng, Min Ouyang, Ning Lin

• This pioneering model forecasts power outage resilience under evolving climate conditions.
• Our paper delineates a cost-effective strategy for fortifying power systems against climate risks.
• Media Report: Featured by NSF, The Hill, Yahoo, Mirage, Vox, etc.

NeurlPS

RainNet: A large-scale imagery dataset and benchmark for spatial precipitation downscaling
Xuanhong Chen, Kairui Feng(co-first), et al.

• Collect a comprehensive real-world precipitation dataset (1979-2018), Download Google Drive and Code Github.
• Evaluate various downscaling methods to accurately capture high-resolution rainfall dynamics.
• Acquire an extensive high-resolution (4km) rainfall dataset for analysis.