SPIDERS wins Best Demo Award at ACM/IEEE IPSN 2020
Our SPIDERS project, “Wireless Glasses for Non-contact Facial Expression Monitoring”, has been awarded the Best Demo Award at the 19th ACM/IEEE Conference on Information Processing […]
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Prof. Xiaofan (Fred) Jiang Receives NSF CAREER Award
Project will develop human-in-the-loop intelligent systems to optimize energy use in buildings Source: [Columbia Engineering] The National Science Foundation (NSF) has awarded Xiaofan (Fred) Jiang, assistant […]
PAWS Featured on Mashable
Source: [Mashable] Dr. Xiaofan (Fred) Jiang’s lab, at the Data Science Institute of Columbia University, has a scenic view of the Hudson River and easy […]
PAWS Featured in the Media
Recently, the PAWS pedestrian safety project was featured in a variety of news and media outlets, including IEEE Spectrum, Fast Company, Gizmodo, Telegraph, and the […]
RecEnergy Accepted to IEEE Internet of Things Journal
Our paper titled “A Deep Reinforcement Learning Based Recommender System for Occupant-Driven Energy Optimization in Commercial Buildings” has been accepted for publication in the IEEE […]
SPIDERS Accepted to ACM/IEEE IoTDI 2020
Our paper titled “SPIDERS: Low-Cost Wireless Glasses for Continuous In-Situ Bio-Signal Acquisition and Emotion Recognition” has been accepted for publication at IoTDI 2020 in Sydney Australia. The […]
SPIDERS to be Demoed at ACM/IEEE IPSN 2020
Our submission titled “Demo Abstract: Wireless Glasses for Non-contact Facial Expression Monitoring” has been accepted for demonstration at IPSN 2020 in Sydney Australia. The demonstration […]
CityEnergy Receives Best Paper Runner-Up at BuildSys 2019
“Data-Driven Energy and Population Estimation for Real-Time City-Wide Energy Footprinting” has been awarded the Best Paper Runner-Up Award at the 6th ACM International Conference on […]
CityEnergy Accepted to BuildSys 2019
“Data-Driven Energy and Population Estimation for Real-Time City-Wide Energy Footprinting” has been accepted as a conference paper to the 6th ACM International Conference on Systems […]
Vehicle Flow Estimation Paper Accepted to CPD 2019
“City-Scale Vehicle Tracking and Traffic Flow Estimation using Low Frame-Rate Traffic Cameras” has been accepted to the workshop Combining Physical and Data-Driven Knowledge in Ubiquitous Computing, co-located […]