Abstract

Wireless signals are more than a medium for communication as they are silent witnesses to human behavior and social dynamics. Recently, wireless proximity sensing technology has attracted growing attention for analyzing “Human-to-X” (H2X) interactions, where “X” encompasses a wide range of elements in the spatial domain, including devices, machines, humans, and environments. Although wireless signals are invisible, they implicitly capture human-centric spatial interactions through mobility patterns. This talk will “see” H2X spatial proxemics through wireless signals ranging from crowd-level, group-level, interpersonal-level, and individual-level interactions. We will discuss how wireless data can reveal social context, relationships, and environmental factors when advanced sensing, modeling, and AI techniques are fused with wireless signals. By bridging wireless communication technologies with social science perspectives, this talk highlights the opportunities of transforming ubiquitous wireless signals into spatial intelligence about human dynamics.

Bio.

Dr. Fang-Jing Wu is an associate professor at National Taiwan University. Dr. Wu was an assistant professor at TU Dortmund in Germany from 2018 to 2023. Before TU Dortmund, she was a research scientist at Cloud Service and Smart Things Group, NEC Laboratories Europe from 2016 to 2017. Before NEC Labs, she was a scientist at the Institute of Infocomm Research (I2R), Agency for Science, Technology and Research (A*STAR), Singapore from 2013 to 2015. Before joining A*STAR, she was a research fellow at Nanyang Technological University in 2012. She was awarded a Ph.D. degree in Computer Science from the National Chiao Tung University in 2011. She was a visiting researcher at Imperial College London from 2010 to 2011. Her research interests are primarily in pervasive computing, wireless communications and networks, autonomous intelligence, mobile computing, wearable sensing, and internet-of-things.

All faculty and students are welcome to join.