AIoT for Safer, Healthier, and Smarter Environments

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         CSE Distinguished Seminar
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Speaker: Professor Xiaofan (Fred) Jiang
         Associate Professor
         Electrical Engineering Department
         Columbia University
         and
         Co-Chair of the Smart Cities Center at the Data Science Institute

Title:  "AIoT for Safer, Healthier, and Smarter Environments"

Date:   Monday, 20 November 2023

Time:   4:00pm - 5:00pm

Venue:  Lecture Theater F
        (Leung Yat Sing Lecture Theater)
        near lift 25/26, HKUST


Abstract:

The combination of artificial intelligence and the internet-of-things, or
artificial intelligence of things (AIoT), promises to transform the world.
In this talk, I will present several projects at Columbia Intelligent and
Connected Systems Lab that focus on AIoT for safety, health, and smarter
environments. In the urban safety space, we create a mobile AIoT system
that uses acoustic sensors combined with embedded machine learning to help
alert pedestrians and construction workers of dangers from nearby
vehicles. We further introduce a generalized audio filtering architecture
that enables a wide range of applications. In the health space, we present
a low-cost vision-based AIoT system for continuous multi-person fever
screening. By using novel 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. In the wearable space, we introduce a glasses-based platform for
in-situ bio-signal acquisition and emotion recognition, followed by an
AR-assisted intelligent stethoscope that enables self-screening at home.
In the mental wellness space, we present an AI therapist for daily
functioning assessment and intervention using custom-trained GPT models.
Finally, in the smart homes space, we introduce a modular sensing
architecture and a reconfigurable drone platform for enabling ambient
assistive applications.


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Biography:

Xiaofan (Fred) Jiang is an associate professor in the Electrical
Engineering department at Columbia University and co-Chair of the Smart
Cities Center at the Data Science Institute. Fred received his PhD in
Computer Science from UC Berkeley in 2010. His 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 and ITEC '21, Best Demo
Award at SenSys '11, IoTDI '18, IPSN '20, SenSys '21, and IPSN '23, Best
Poster Award at BuildSys '16, and Best Paper Runner-Up Award at BuildSys
'17 and '19. He has served on technical and organizing committees of
leading conferences in the field, including TPC Chair of BuildSys '14, TPC
Chair of e-Energy '23, General Chair of SenSys '19, General Chair of
BuildSys '21, and General Chair of IPSN '23. Fred was currently serving as
the Vice Chair of 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.