IEEE Workshop: AI & Machine Learning in Remote Sensing

#arctic #artificial-intelligence #machine-learning #remote-sensing #aess #GRSS #matlab #python #sea-ice
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IEEE Workshop: AI & Machine Learning in Remote Sensing

Artificial Intelligence and Machine Learning are hot topics in many technical and non-technical applications. In this workshop, we will review concepts of AI and Machine Learning, starting from the basic definitions and going into deeper topics. We have booked a three hour block of time for this workshop, which will have a mix of formal presentations and hands-on experiential learning. The focus will be on remote sensing.

Part 1: Formal Presentation on Machine Learning Concepts and Algorithms, presented by ECE faculty member, Dr. Vahab Khoshdel.

Part 2: Hands-on Experience on Implementation, using MATLAB and Python, presented by PhD student and IEEE Member, Mehran Dadjoo. This will involve using Arctic sea ice remote sensing data to learn how to develop, run, and test code in the computer lab environment.

(Limited Lab computers are available and laptops are welcome to participate in part 2)

Participants may attend one or both parts of the workshop. There will be refreshments in the break between part 1 & 2.


  Date and Time

  Location

  Hosts

  Registration


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  • 75 Chancellors Circle
  • Winnipeg, Manitoba
  • Canada R3T 5V6
  • Building: EITC
  • Room Number: SP-124
  • Contact Event Host
  • Starts 01 July 2025 05:00 AM UTC
  • Ends 09 July 2025 02:00 PM UTC
  • No Admission Charge

  Speakers

Prof. Khoshdel

Topic:

Formal Presentation on Machine Learning Concepts and Algorithms

Biography:

Prof. Vahab Khoshdel is an Assistant Professor at the University of Manitoba, specializing in the application of AI and machine learning in remote sensing and precision agriculture. His research focuses on developing intelligent systems for crop monitoring and yield prediction by leveraging satellite imagery, UAV data, and sensor networks. With expertise in both robotics and machine learning, he works on integrating multi-modal data to support sustainable and data-driven decision-making in agriculture.

Mehran

Topic:

Hands-on Experience on Implementation, using MATLAB and Python

Biography:

Mehran Dadjoo is a Ph.D. student in Physical Geography at the Center for Earth Observation Science (CEOS), University of Manitoba, under the supervision of Prof. Dustin Isleifson. With a background in Geomatics and Remote Sensing, Mehran is currently focused on the applications of Deep Learning and Machine Learning in Arctic Sea Ice studies. His research integrates various data sources, including Microwave Remote Sensing (Radar), Lidar, drone-based imagery, and physical sampling, to enhance the monitoring and prediction of Arctic Sea Ice Thickness. His work leverages Deep Learning and Machine Learning models to enhance the monitoring and predicting capabilities of Arctic Sea Ice Thickness.

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Agenda

Part 1: Formal Presentation on Machine Learning Concepts and Algorithms, presented by ECE faculty member, Dr. Vahab Khoshdel.

Refreshment Break.

Part 2: Hands-on Experience on Implementation, using MATLAB and Python, presented by PhD student and IEEE Member, Mehran Dadjoo.