🗨️ English
💸 Online & Free
⚠️ Potentially mind-blowing
Discover the world of hyperspectral imaging technology and analysis in this interactive and informative session led by Salma Haidar, a PhD researcher specialising in learning representations from hyperspectral images (HSI).
This presentation, tailored for a non-technical audience, will introduce you to the fascinating fundamentals of hyperspectral imaging, illustrate how it differs from conventional RGB imaging techniques and explore the role of Machine Learning in processing the depth and richness of information such technology offers.
What You’ll Learn:
Fundamentals of Hyperspectral Imaging:
Understand the basic principles and how hyperspectral imaging captures information beyond the capabilities of standard cameras.
Exploring the Electromagnetic Spectrum:
Learn how Hyperspectral imaging captures detailed spectral data across a range of wavelengths far beyond the visible spectrum.
Machine Learning in Hyperspectral Analysis:
Discover machine learnings pivotal role in extracting representations and enhancing the analysis of hyperspectral images.
Insights from Cutting-Edge Research:
Gain a glimpse into Salma Haidar’s PhD research and how it contributes to advancements in hyperspectral image analysis.
Speaker:
Salma Haidar is a PhD candidate at the University of Antwerp in Belgium, specializing in advanced representation learning for hyperspectral images, with a focus on land cover analysis from remote sensing data. She holds a bachelor's degree in Accounting and Finance from the Lebanese University and a Master’s in Money and Banking from the American University of Beirut. She also holds a Postgraduate Diploma in Big Data & Analytics from KU Leuven. A Chartered Financial Analyst (CFA) since 2006, her diverse background enhances her contributions to machine learning and hyperspectral image analysis.
Join us on the 5th of September over lunch break to discover hyperspectral imaging!
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