Domen Vake: Predictive Modeling of Indoor Occupancy through Air Quality Data Analysis

V ponedeljek, 19. avgusta 2024, bo ob 16.00 uri izvedeno
predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE
Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS/PROSTOR: 19. avgust 2024 ob 16.00 na daljavo prek Zoom-a.

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PREDAVATELJ: Domen VAKE
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Domen Vake is a third year PhD student at UP FAMNIT under the mentorship of assoc. prof. Branko Kavšek and assoc. prof. Jernej Vičič. His research interests and projects mostly concern machine learning.

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NASLOV: Predictive Modeling of Indoor Occupancy through Air Quality Data Analysis
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POVZETEK:

This presentation will provide an overview of indoor air quality (IAQ) monitoring using sensor networks, focusing on the architecture, capabilities, and underlying technologies that power these systems. We will then explore a practical application through a case study conducted in a Slovenian elementary school, where a machine learning model was developed to predict classroom occupancy based on IAQ data. The talk will highlight the implementation challenges, the integration of multiple data sources (IAQ sensors, school schedules, and weather data), and the privacy concerns associated with the ability to infer sensitive information from seemingly safe data.

Seminar bo potekal v angleškem jeziku prek Zoom-a ob 16:00 uri na sledeči povezavi:
https://upr-si.zoom.us/j/297328207?pwd=S3Zpdk1VR3pjckNtWkQwKzlvcDR5UT09

Vabljeni.