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HIIT Special Seminar: Martha Zaidan "Artificial Intelligence Systems for Enhancing Sensing Technologies and Scientific Discoveries"

This talk is arranged by the Helsinki Institute for Information Technology
HIIT_SpecialSeminar

Artificial Intelligence systems for enhancing sensing technologies and scientific discoveries

Martha Zaidan

Wednesday 11 May 11:00-12:00
via Zoom: request the link by email: [email protected]
Note! The link will be sent by email to Aalto CS, Helsinki CS, Aalto ComNet, and Aalto SPA staff

Abstract: Since the last few decades, the amount of environmental data has increased rapidly. Thanks to scientific activities such as continuous ground measurements, satellite remote sensing, laboratory and field experiments, and computer simulations that help understanding the roots and causes of environmental problems. However effective and efficient analysis of the environmental big data yet has remained a big challenge. In addition, the advances on environmental sensing and computing using low-cost sensors contribute to environmental measurements (e.g., air pollution) and also further scientific exploration. Indeed, low-cost sensors are portable, affordable, low-power and easy to install. To this end, these sensors can be deployed massively in fields and enable the generation of high resolution spatio-temporal environmental information, however at the price of low sensing accuracy and lower reliability. This public lecture presents how Artificial intelligence (AI) and data mining methods are beneficial to (i) enhance environmental big data analysis and (ii) to improve the environmental sensing performance of low-cost sensors and their capabilities. The lecture presents several case studies in the fields of atmospheric sciences and air quality research, and also will discuss some potential engineering applications which can be developed using AI-based sensing and computing.

Bio: Martha Arbayani Zaidan is a Docent in Atmospheric and Environmental Data Sciences. He received the Ph.D. degree in Automatic Control and Systems Engineering from University of Sheffield. He was a Postdoctoral Research Associate at Maryland University and a Research Fellow at Aalto University. Currently, he acts as a Research Associate Professor and a Researcher at Nanjing University and Institute for Atmospheric & Earth System Research (INAR), University of Helsinki, respectively. His research interests include artificial intelligence and machine learning for intelligent control systems, condition-based maintenance, sensing technologies, atmospheric and environmental sciences.

 

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