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Intelligent Systems of the People, by the People, for the People

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  • UserXiaofan (Fred) Jiang - Associate Professor of Electrical Engineering and Computer Engineering, Columbia University
  • ClockWednesday 02 March 2022, 15:05-15:55
  • HouseOnline.

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Analyzing observations of the physical world can be a messy process. But the rise of intelligent embedded systems to sense, and understand urban situations and people, is allowing us to study our physical environment and take actions like never before. In this talk, I will present three human-in-the-loop intelligent systems: from having humans as end users, to having them be active participants, to having them be the subject of sensing. In the urban safety space, we create a wearable system that uses multichannel audio combined with embedded machine learning, to help alert pedestrians and construction workers of dangers from nearby vehicles. We further introduce a generalized selective audio filtering architecture, providing 3rd party developers the ability to enhance and suppress custom sounds and noises in their own applications. In the intelligent buildings space, we demonstrate a building-scale system that utilizes digital twins, real-time simulators, a hybrid recommender system, and incorporates the actions of human occupants to jointly-optimize energy, air quality, and comfort. In the smart health space, we present a low-cost vision-based system for continuous multi-person fever screening. By using novel data analytics algorithms and models that take advantage of multiple frames of information from both thermal and RGB domains, our system achieves better accuracy than commercial solutions at a fraction of the cost.

Bio: Xiaofan (Fred) Jiang is an associate professor in the Electrical Engineering department at Columbia University and Chair of the Smart Cities Center at the Data Science Institute. Fred received his B.Sc., M.Sc., and Ph.D. in Electrical Engineering and Computer Science from UC Berkeley, in 2004, 2007, and 2010, respectively. He was Director of Analytics and IoT Research at Intel Labs China prior to joining Columbia University in 2015. Fred’s research lies at the intersection of systems and data, with a focus on intelligent embedded systems and their applications in mobile and wearable computing, intelligent built environments, Internet of Things, and connected health. His research has been published in top-tier venues and received numerous awards, including Best Paper Award at IPSN ’05, Best Demo Award at SenSys ’11, IoTDI ‘18, IPSN ‘20, and SenSys ‘21, Best Poster Award at BuildSys ’16, and Best Paper Runner-Up Award at BuildSys ’17 and ’19. He has served on technical and organization committees of leading conferences in the field, including TPC Chair of BuildSys ’14, General Chair of SenSys ’19, and General Chair of BuildSys ‘21. Fred is the Founding Treasurer of the newly established ACM Special Interest Group on Energy Informatics (SIGEnergy). His research has been featured in many popular media outlets, including The Economist, New York Post, Mashable, Gizmodo, The Telegraph, and Fast Company. He is the recipient of an NSF Graduate Fellowship, a Vodafone-US Foundation Fellowship, and an NSF CAREER Award.

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