Date & Time: 

   2024 / 3 / 29 (Fri) 14:20 - 16:20

Location: 

   Delta Building R216, NTHU

Speaker: 

   巫芳璟 教授

   國立臺灣大學 資訊工程學系

Topic: 

   Wireless-based location, trajectory, mobility structure fingerprinting

Abstract: 

    Mobility is an important key to many promising intelligent applications in sectors of smart
cities and smart environments. As advanced wireless sensing and communication
technologies are rapidly developed, an interesting technical challenge is arising -- “Can we
exploit wireless data from one or multiple devices to fingerprint the locations, trajectories,
and even social mobility structures of mobile devices?”. This talk will review wireless-based
fingerprinting techniques from sensing, data modeling, social relationship recognition, and
multi-device data fusion perspectives. First, active and passive wireless sensing techniques
are reviewed. Then, our recent research outcomes in location-less trajectory modeling are
introduced. Also, this talk will offer alternative techniques to find the correlation between
trajectories and recognize the social structures among mobile devices without ranging and
localization technologies. When multiple devices are carried by the same user, how to fuse
wireless data from them to perform indoor localization is introduced.

Autobiography: 

   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 current research interests are primarily in pervasive computing, wireless
sensor networks, wireless communications and networks, cyber-physical systems, mobile
crowdsourcing, mobile computing, wearable sensing, and Internet of Things.