ISyE Statistic Seminar - Hsin-Hsiung Huang

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Modelling Moving Points: Identifying Ship Trajectories and Optimizing Photon Strategy


Research of movement trajectory is undergoing a revolution due to the growing volumes of high-resolution spatio-temporal movement data and models . A key challenge now is the analysis of massive movement datasets with largely different sampling rates and accuracy such as automatic identification system (AIS) geolocation data. In particular, it is important and challenging to identify movement trajectories which have close paths and changing speeds and angles particularly in an unsupervised manner. In this talk, I will talk about our methods for modelling the challenging AIS data and optimizing photon strategy for medical images.


Dr. Hsin-Hsiung "Bill" Huang is an Assistant Professor and the Associate Chair in the Department of Statistics and Data Science at University of Central Florida (UCF). Dr. Huang received his Ph.D. in Statistics from the University of Illinois at Chicago and two MS degrees from the Georgia Institute of Technology and National Taiwan University as well as BA and BS from National Taiwan University. His scholarly interests and expertise include clustering, classification, dimension reduction. His research addresses challenges in analyzing big data, interdisciplinary research, and developing new statistical methods. His current research is partially sponsored by an NSF grant and an NIH grant.


  • Workflow Status: Published
  • Created By: Julie Smith
  • Created: 11/01/2019
  • Modified By: Julie Smith
  • Modified: 11/01/2019


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