Electrical & Computer Engineering Seminar
Ali Cafer Gurbuz, Ph.D.
Director of The Information Processing and Sensing (IMPRESS) Laboratory
Assistant Professor, Department of Electrical & Computer Engineering
Mississippi State University, Starkville, MS
Will present a talk entitled:
From Satellites to Drones: Machine Learning Based Remote Sensing with Opportunistic Signals
Friday, March 3rd, 2023
Friday 4pm
Over zoom: https://clarkson.zoom.us/j/97883816982?pwd=SkFaQlUraW40QVByM2orS05FRU9RQT09
Abstract: Soil plays a vital role in the Earth’s ecosystems and understanding the dynamic changes of soil and measuring parameters such as soil moisture at high spatio-temporal scales is vital for the living ecosystem. In this talk we will look into various systems from large and expensive satellite systems with low spatial resolutions to smaller, cheaper drone-based solutions that can provide very high resolutions suitable for precision agriculture. We will talk about how we can recycle low frequency RF signals transmitted by satellites to measure the soil moisture by leveraging penetration capabilities of RF signals into the vegetation and soil. Our approach opportunistically reutilizes existing microwave signals for remote sensing, which are not originally intended for that purpose. Recent results on machine learning based soil moisture estimation from both satellite and drone-based systems at global and sub-field scales will be discussed. Join me to see how machine learning and sensing come together to track water in soil using signals of opportunity!
Short Bio. Dr. Ali Cafer Gurbuz received B.S. degree from Bilkent University, Ankara, Turkey, in 2003, in Electrical Engineering, and the M.S. and Ph.D. degrees from Georgia Institute of Technology, Atlanta, GA, USA, in 2005 and 2008, both in Electrical and Computer Engineering. He held faculty positions at both assistant and associate professor levels between 2009 and 2016, where he pursued an active research program on the development of sparse signal representations, compressive sensing theory and applications, radar and sensor array signal processing, and machine learning. Currently, he is an Assistant Professor at Mississippi State University, Department of Electrical and Computer Engineering, where he is co-director of Information Processing and Sensing Lab. He is the recipient of The Best Paper Award for Signal Processing Journal in 2013 and the Turkish Academy of Sciences Best Young Scholar Award in Electrical Engineering in 2014 and NSF CAREER Award in 2021. He is a senior member of IEEE.
*Co-Sponsored by IEEE student branch and HKN