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SUMMARY:Intelligent Systems of the People\, by the People\, for the People
  - Xiaofan (Fred) Jiang - Associate Professor of Electrical Engineering an
 d Computer Engineering\, Columbia University
DTSTART:20220302T150500Z
DTEND:20220302T155500Z
UID:TALK167675@talks.cam.ac.uk
CONTACT:Ben Karniely
DESCRIPTION:Analyzing observations of the physical world can be a messy pr
 ocess. But the rise of intelligent embedded systems to sense\, and underst
 and urban situations and people\, is allowing us to study our physical env
 ironment and take actions like never before. In this talk\, I will present
  three human-in-the-loop intelligent systems: from having humans as end us
 ers\, to having them be active participants\, to having them be the subjec
 t 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 vehicle
 s. We further introduce a generalized selective audio filtering architectu
 re\, providing 3rd party developers the ability to enhance and suppress cu
 stom sounds and noises in their own applications. In the intelligent build
 ings space\, we demonstrate a building-scale system that utilizes digital 
 twins\, real-time simulators\, a hybrid recommender system\, and incorpora
 tes the actions of human occupants to jointly-optimize energy\, air qualit
 y\, and comfort. In the smart health space\, we present a low-cost vision-
 based system for continuous multi-person fever screening. By using novel d
 ata analytics algorithms and models that take advantage of multiple frames
  of information from both thermal and RGB domains\, our system achieves be
 tter accuracy than commercial solutions at a fraction of the cost.\n\nBio:
  \nXiaofan (Fred) Jiang is an associate professor in the Electrical Engine
 ering department at Columbia University and Chair of the Smart Cities Cent
 er 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 2
 004\, 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 B
 uildSys ’17 and ’19. He has served on technical and organization commi
 ttees of leading conferences in the field\, including TPC Chair of BuildSy
 s ’14\, General Chair of SenSys ’19\, and General Chair of BuildSys '2
 1. Fred is the Founding Treasurer of the newly established ACM Special Int
 erest Group on Energy Informatics (SIGEnergy). His research has been featu
 red in many popular media outlets\, including The Economist\, New York Pos
 t\, Mashable\, Gizmodo\, The Telegraph\, and Fast Company. He is the recip
 ient of an NSF Graduate Fellowship\, a Vodafone-US Foundation Fellowship\,
  and an NSF CAREER Award.\n\nLink to join: https://cl-cam-ac-uk.zoom.us/j/
 97767639783?pwd=T09GcVJxZUNEUFEvRnZnbWwxeEwzQT09\n\nA recording of this ta
 lk is available at the following link: https://www.cl.cam.ac.uk/seminars/w
 ednesday/video/\n
LOCATION:Online
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