Adjunct Professor Stefan Werner named IEEE Fellow

He is being recognized for contributions to in-band full-duplex wireless communication systems and selective data-reuse online learning.
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Stefan Werner, Professor at the Department of Electronic Systems and Director of IoT Research at NTNU (Norwegian University of Science and Technology) and Adjunct Professor in Aalto University Department of Signal Processing and Acoustics, has been named an IEEE Fellow active from January 2023.

‘It is a great honor to be elevated to IEEE Fellow status. It results from long-lasting collaborations with students and colleagues at Aalto and NTNU, as well as collaborators worldwide,’ he says.

Professor Werner's current interests revolve around advancing data analysis, security, privacy, and networking of the distributed data collection infrastructure by developing new robust and trustworthy machine learning techniques.

Stefan Werner

‘Over the years, my students, collaborators, and I have researched statistical signal processing, distributed learning and optimization, wireless communications, and control systems. The focus has always been on the frugality of resource usage, whether for information transfer or learning in resource-constrained systems.’

In the big data era, with an inundated amount of data generated on myriad dispersed devices, it becomes imperative to intelligently sift through the massive amount of data to separate the wheat from the chaff.

‘My early work on data-selective learning was an attempt in this direction. I believe these approaches will be even more critical when data-driven decentralized processing becomes more pervasive.‘

With over 400,000 members, IEEE is the world’s largest association for technical professionals. The IEEE Fellowship is conferred by the IEEE Board of Directors upon a person with an outstanding record of accomplishments in any of the IEEE fields of interest. The total number selected in any one year cannot exceed 0.1% of the total voting membership.

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