ProfessorAlejandro C. Frery

(he, him, his)

Professor in Statistics and Data Science

School of Mathematics and Statistics

  • Professor in Statistics and Data Science
    School of Mathematics and Statistics
  • CO 537, Cotton Building (All Blocks), Gate 7, Kelburn Parade, Wellington, 6012, New Zealand

RUAWHETU | ENGAGEMENT

  • CONFERENCE ROLE
    IGARSS - International Geoscience and Remote Sensing Symposium
    3 Aug 2025
    Publications Chair
  • CONFERENCE ROLE
    8 Apr 2024
    Machine Intelligence for GeoAnalytics and Remote Sensing (MIGARS) 2024 is a joint event of two IEEE Societies: Geoscience and Remote Sensing (GRSS) and Computational Intelligence Society (CIS). MIGARS explores the confluence of advances in machine intelligence (MI) approaches to geoscience, geo-analytics (GA), and remote sensing (RS). Thanks to the revolutionary developments in remote sensor technology, data acquisitions have grown leaps and bounds to stream and are too big by volume, variety, and veracity. The challenge is handling, processing, and automating geo-data from various sources, such as multi-platform RS sensors and IoT devices and making intelligent decisions on the fly. The conference focuses on connecting researchers from computing, MI, GA, and RS domains and looking for the potential use of intelligent computational approaches for geo-data-based applications and serving society at large.
  • COMMUNITY ENGAGEMENT
    NZSA Mentoring Program
    1 Apr 2023
  • CONFERENCE ROLE
    27 Jan 2023
    Machine Intelligence for GeoAnalytics and Remote Sensing (MIGARS) 2023 is the first of its kind effort to have a joint event of two primary emerging IEEE Societies; Geoscience and Remote Sensing (GRSS) and Computational Intelligence Society (CIS). MIGARS aims to explore the confluence of advances in machine intelligence (MI) approaches to geoscience, geo-analytics (GA), and remote sensing (RS). Thanks to the revolutionary developments in remote sensor technology, data acquisitions have grown leaps and bounds to stream and are too big by volume, variety, and veracity. The challenge is handling, processing, and automating geo-data from various sources such as multi-platform RS sensors and IoT devices and making intelligent decisions on the fly. The focus of the conference is to connect researchers from computing, MI, GA, and RS domains and look for the potential use of intelligent computational approaches for geo-data based applications and serve society at large.
  • COMMITTEE/BOARD/SOCIETY INVOLVEMENT
    IEEE Geoscience and Remote Sensing Society
    1 Jan 2023
  • OTHER PROFESSIONAL ACTIVITY
    Member of Research Team
    1 Jun 2022
  • COMMITTEE/BOARD/SOCIETY INVOLVEMENT
    5 Nov 2018