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McKelvey School of Engineering

AIoT for Urban Safety, Health, and Mental Wellness

Friday, September 9 | 11:00 AM - 12:00 PM

Uncas A. Whitaker Hall, 218
6760 Forest Park Pkwy, St. Louis, MO 63105, USA

Xiaofan (Fred) Jiang

Associate Professor of Electrical Engineering and Computer Engineering

Co-Chair of Smart Cities Center, Data Science Institute

Columbia University

The combination of artificial intelligence and internet-of-things, or artificial intelligence of things (AIoT), promises to transform the world. At Columbia Intelligent and Connected Systems Lab, AIoT enables us to sense and understand urban situations and people, and allows us to take actions like never before. In this talk, I will present several projects focused on AIoT for urban safety, health, and mental wellness.

In the urban safety space, we create a wearable AIoT 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 audio filtering architecture that enables a wide range of applications. In the health space, we first build on top of the intelligent audio filter to create an AIoT system for non-intrusive breathing detection and demonstrate its potential in infant monitoring. We then 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. Early results from a 10-month study inside a multi-practice clinic will be presented. In the mental wellness space, we introduce a glasses-based wearable platform for in-situ bio-signal acquisition and emotion recognition, followed by an AI-based mental status examination (MSE), the first interactive MSE platform that enables anyone to self-administer MSE at home through a web browser, helping to lower the barrier for accessing mental healthcare.

Event Type

Seminar/Colloquia

Schools

McKelvey School of Engineering

Topic

Science & Technology

Department
Computer Science & Engineering
Event Contact

smaria@wustl.edu

Speaker Information

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 B.Sc., M.Sc., and Ph.D. in Electrical Engineering and Computer Science from UC Berkeley, in 2004, 2007, and 2010, respectively. 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 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 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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