Ph.D. Candidate, Electrical Engineering, Columbia University
Focus: Smart Buildings, Reinforcement Learning, Recommender Systems, Machine Learning
![](https://i0.wp.com/icsl.ee.columbia.edu/wp-content/uploads/2019/03/Peter-Wei.jpg?resize=678%2C617)
About me
I am a Ph.D. candidate studying Electrical Engineering at Columbia University, under the supervision of Dr. Xiaofan Jiang. My current research focuses on the design of cyber-physical systems for energy efficiency in urban environments. I have done research both at Carnegie Mellon University with Dr. Natasa Miskov-Zivanov and Dr. Pulkit Grover, as well as at the University of Pennsylvania with Dr. Daniel D. Lee. Their guidance has led me to pursue my current interests in robotics, machine learning, and cyber-physical systems.
Profile
I completed my undergraduate and masters degrees in Electrical and Computer Engineering at Carnegie Mellon University. I have participated in a variety of research projects, spanning computational biology, artificial intelligence, autonomous vehicles, and smart building applications.
Awards
- Best Poster Award, ACM BuildSys 2016
Adaptive and Personalized Energy Saving Suggestions for Occupants in Smart Buildings: Poster Abstract - Best Paper Runner-Up Award, ACM BuildSys 2017
ePrints: A Real-Time and Scalable System for Fair Apportionment and Tracking of Personal Energy Footprints in Commercial Buildings - Best Paper Runner-Up Award, ACM BuildSys 2019
Data-Driven Energy and Population Estimation for Real-Time City-Wide Energy Footprinting
Publications
- 2020 | IEEE Internet of Things Journal
A Deep Reinforcement Learning Based Recommender System for Occupant-Driven Energy Optimization in Commercial Buildings
Peter Wei, Stephen Xia, Runfeng Chen, Jingyi Qian, Chong Li, Xiaofan Jiang - 2019 | ACM BuildSys ’19 / New York City, USA
Data-Driven Energy and Population Estimation for Real-Time City-Wide Energy Footprinting
Peter Wei and Xiaofan Jiang
[Best Paper – Runner Up Award] - 2019 | ACM CPD ’19 / London, United Kingdom
City-Scale Vehicle Tracking and Traffic Flow Estimation Using Low Frame-Rate Traffic Cameras
Peter Wei, Haocong Shi, Jiaying Yang, Jingyi Qian, Yinan Ji, Xiaofan Jiang - 2018 | ACM BuildSys ’18 / Shenzhen, China
A Data-Driven System for City-Scale Personal Energy Footprint Estimations: Poster Abstract
Peter Wei and Xiaofan Jiang - 2018 | ACM/IEEE CHASE ’18 / Washington, D.C., USA | Elsevier Smart Health Journal
SPINDLES+: An Adaptive and Personalized System for Leg Shake Detection
Stephen Xia, Peter Wei, Jordan Misael Vega, and Xiaofan Jiang - 2018 | ACM/IEEE CHASE ’18 / Washington, D.C., USA | Elsevier Smart Health Journal
Intelligent and Privacy-Preserving Medication Adherence System
Ji Jia, Jinyang Yu, Raghavendra Sirigeri Hanumesh, Stephen Xia, Peter Wei, Hyunmi Choi, and Xiaofan Jiang - 2018 | ACM CPD ’18 / Singapore
Moisture Based Perspiration Level Estimation
Ji Jia, Chengtian Xu, Shijia Pan, Stephen Xia, Peter Wei, Hae Young Noh, Pei Zhang, Xiaofan Jiang - 2018 | ACM Transaction on Sensor Networks
A Scalable System for Apportionment and Tracking of Energy Footprints in Commercial Buildings
Peter Wei, Xiaoqi Chen, Jordan Vega, Stephen Xia, Rishikanth Chandrasekaran, and Xiaofan Jiang - 2018 | ACM UMAP ’18 / Singapore
Energy Saving Recommendations and User Location Modeling in Commercial Buildings
Peter Wei, Stephen Xia, Xiaofan Jiang - 2017 | ACM BuildSys ’17 / Delft, Netherlands
ePrints: A Real-Time and Scalable System for Fair Apportionment and Tracking of Personal Energy Footprints in Commercial Buildings
Peter Wei, Xiaoqi Chen, Jordan Vega, Stephen Xia, Rishikanth Chandrasekaran, and Xiaofan Jiang
[Best Paper – Runner Up Award] - 2017 | ACM HASCA @ UbiComp ’17 / Maui, HI, USA
SPINDLES: A Smartphone Platform for Intelligent Detection and Notification of Leg Shaking
Stephen Xia, Yan Lu, Peter Wei, and Xiaofan Jiang - 2016 | ACM BuildSys ’16 / Palo Alto, CA, USA
Adaptive and Personalized Energy Saving Suggestions for Occupants in Smart Buildings: Poster Abstract
Peter Wei, Xiaoqi Chen, Rishikanth Chandrasekaran, Fengyi Song, and Xiaofan Jiang
[Best Poster Award] - 2015 | IEEE/RSJ International Conference on Intelligent Robots and Systems, Hamburg, Germany
Dynamic and Probabilistic Estimation of Unknown Obstacles for Indoor Robotic Navigation
Christopher Clingerman, Peter J. Wei, Daniel D. Lee - 2014 |Proceedings of the 12th International Conference: Computational Methods in Systems Biology
THiMED: Time in Hierarchical Model Extraction and Design
Natasa Miskov-Zivanov, Peter Wei, Clement Loh
You must be logged in to post a comment.