UbiSensing & AI Lab

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UbiSensing Logo

Leading Innovation in Real-Time Geospatial Sensing and IoT Solutions

The UbiSensing & AI Lab at the University of Calgary is a pioneering research group dedicated to advancing geospatial technology through the integration of sensor networks, real-time data analysis, and Internet of Things (IoT) solutions. Led by Dr. Steve Liang, a global authority in sensor web technology and standards, the lab is at the forefront of enabling smarter, data-driven decision-making for a wide range of applications.

What We Do

  • Research and Development: Our team conducts cutting-edge research on geospatial data interoperability and web-enabled GIS solutions.
  • Collaboration with Industry and Academia: We partner with organizations and research institutions worldwide to implement practical solutions that impact society.
  • Standards and Open-Source Contribution: We contribute to the development and evolution of open geospatial standards and tools, fostering innovation and collaboration in the global geospatial community.

Core Areas of Research

  • IoT and Sensor Web Enablement: Developing technologies that empower the seamless integration of sensors into the web.
  • OGC Standards: Advancing and applying OGC standards to enhance interoperability.
  • Smart Cities and Environmental Monitoring: Creating smarter infrastructure and supporting environmental sustainability.

Our Vision

We aim to revolutionize the way sensors and geospatial data are utilized, fostering a future where information flows seamlessly and efficiently to support intelligent decision-making across industries.

Latest posts

Selected publications

  1. EarthArXiv
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    An Event-Based Framework for Estimating Annual Methane Emissions and Managing Emissions Data from Oil and Gas Facilities
    Mozhou Gao, Zahra Ashena, Steve H.L. Liang, and 2 more authors
    2025
  2. A Systematic Review of Event Matching Methods for Complex Event Detection in Video Streams
    Sensors, 2024
  3. EGU24
    Toward developing a streamlined workflow for methane emission monitoring, reporting, and verification in the oil and gas industry
    EGU General Assembly 2024, Apr 2024
  4. AGU23
    An ISO/OGC-standard based integrated sensor web architecture for multi-scale methane emissions reconciliation
    Steve LiangMozhou Gao, and Sina Kiaei
    AGU Fall Meeting 2023, Dec 2023

Calgary Centre for Innovative Technologies

University of Calgary

50 Collegiate Place NW

Calgary, Alberta, Canada, T2N 1N4