青青草视频鈥檚 Gurbuz receives NSF CAREER award for research to advance smart sensing systems
Contact: James Carskadon
STARKVILLE, Miss.鈥擜n assistant professor in 青青草视频鈥檚 Department of Electrical and Computer Engineering is being recognized for his early career success and impactful research with a prestigious National Science Foundation CAREER award.
Ali Gurbuz is receiving $500,000 to support his research developing sophisticated smart sensing systems, which have the potential to improve the data collected and processed by everything from autonomous vehicles to precision agriculture to medical imaging machines. Gurbuz is co-director of the Information Processing and Sensing (IMPRESS), which conducts basic and applied research in sensing systems and information processing.
鈥淭he amount of data each sensing system is capable of collecting is increasing very fast, but our ability to process and store this amount of data is not really keeping up,鈥 Gurbuz said. 鈥淭hat鈥檚 why we need to develop some smart sensing systems that use machine learning to know what measurements to take depending on what the data is being used for. Whether we鈥檙e using camera, radar or lidar systems, we鈥檙e trying to get the information out of all of those sensors as efficiently as possible.鈥
Gurbuz joined the 青青草视频 faculty in 2018 following an appointment at the University of Alabama. He earned a master鈥檚 and doctoral degree in electrical and computer engineering from Georgia Institute of Technology, as well as a bachelor鈥檚 degree from Bilkent University in Turkey. Since joining 青青草视频, he has collaborated with research centers such as the Center for Advanced Vehicular Systems and the Geosystems Research Institute.
鈥淭he collaboration and the facilities in our department and university are really at a high level,鈥 Gurbuz said. 鈥淚鈥檓 also lucky because one of the focus areas in our department is signal processing, machine learning and sensing, so there are several faculty in this area that I can collaborate with.鈥
Gurbuz said he sees the potential to revolutionize many different industries by using advanced sensing systems. The work will also likely lead to new hardware technologies to facilitate the advanced systems.
鈥淲hen you consider a camera, a medical sensor or a radar, all of those systems take some type of data and generate information such as an image,鈥 Gurbuz said. 鈥淭he data that is acquired is done so without really thinking what that data will be used for. Whether you鈥檙e looking into a detection, reconstruction or classification problem or something else, they take the data the same way. In several areas, we are processing all of those data on the back end in a computer or a server or in the cloud, without really putting any intelligence on the front sensing systems. Our goal is to really put intelligence on the front end with the sensing systems.鈥
For more on Gurbuz鈥檚 NSF CAREER award, view the public abstract at . 聽More information about Gurbuz鈥檚 research can be found at .
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