Florian Meyer
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Florian Meyer, Phd

Associate Professor

Scripps Institution of Oceanography
Department of Electrical and Computer Engineering
University of California San Diego

flmeyer@ucsd.edu

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Tutorial Slides “Distributed Localization and Tracking of Mobile Networks”

Tutorial Slides “Graph-Based Multiobject Tracking” and Reference Implementation

Biography

Florian Meyer (Member, IEEE) received the M.Sc. and Ph.D. degrees (with highest honors) in electrical engineering from TU Wien, Vienna, Austria, in 2011 and 2015, respectively. Dr. Meyer is an Associate Professor at the University of California San Diego, La Jolla, CA, USA, jointly between Scripps Institution of Oceanography and the Electrical and Computer Engineering Department. From 2017 to 2019, he was a Postdoctoral Fellow and Associate with the Laboratory for Information & Decision Systems, Massachusetts Institute of Technology, Cambridge, MA, USA, and from 2016 to 2017, he was a Research Scientist with the NATO Centre for Maritime Research and Experimentation, La Spezia, Italy. Florian is the recipient of the 2021 ISIF Young Investigator Award, a 2022 NSF CAREER Award, a 2022 DARPA Young Faculty Award, and a 2023 ONR Young Investigator Award. He is currently an Associate Editor with IEEE Transactions on Signal Processing and served as an Associate Editor for IEEE Transactions on Aerospace and Electronic Systems from 2021 to 2023.

Research Interests and Broader Impacts

Professor Meyer focuses on interdisciplinary research in the intersection of signal processing, underwater acoustics, and marine robotics. In particular, he develops and advances new methodologies for parameter estimation and machine learning. His group is also active in enabling systems for autonomous data collection at sea and in providing new data analysis and processing tools for oceanographic research including ocean acoustics and marine mammal biology.

Innovation resulting from his research are novel methods for data processing that substantially improve the performance of marine sensing systems but can also lead to tangible advances in further applications including autonomous driving, wireless communication, and medical imaging. Interdisciplinary education and outreach activities expose students to state-of-the-art statistical signal processing and machine learning techniques as well as their deployment at sea.

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