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Marine and Environment

Cognitive Wireless Radios for Maritime Robotics

Led by George Sklivanitis, Ph.D.

George Sklivanitis, Ph.D.

George Sklivanitis received the Diploma degree in electronic and computer engineering from the Technical University of Crete, Greece, in 2010, and the Ph.D. degree in electrical engineering from The State University of New York at Buffalo in 2018. He is currently a Research Assistant Professor with I-SENSE and the Department of Computer and Electrical Engineering and Computer Science at Florida Atlantic University. His research interests span the areas of signal processing, software-defined wireless communications and networking, cognitive radio, and underwater acoustic communications.

In 2014, he was the first finalist and was a recipient of the 2014 Nutaq Software-Defined Radio Academic U.S. National Contest and in 2015 he received the Best Demo Award in the 10th ACM International Conference on Underwater Networks and Systems. He was also a recipient of the 2015 SUNY Buffalo Graduate Student Award for Excellence in Teaching, the 2016 SUNY Buffalo Student Entrepreneur Fellowship, and the 2017 SUNY Chancellor's Award for Student Excellence. Dr. Sklivanitis is a member of the IEEE Communications, IEEE Signal Processing, IEEE Oceanic Engineering Societies and serves as the co-organizer and TPC co-chair of the IEEE INFOCOM Workshop on Wireless Communications and Networking in Extreme Environments (WCNEE) since 2017.


PROJECT

This project focuses on the design, development, and evaluation of cognitive wireless radios capable of software-defined radio technology and artificial intelligence to enable intelligent adaptation, from the physical layer through the networking layer. The objective is to create small form-factor cognitive radios capable of multi-hop mesh networking to support maritime robotic swarms that travel underwater, on the sea surface, and in the sky. The intellectual merit of the proposed REU project stems from (1) significantly advancing the state of the art in AI-assisted, underwater, acoustic communication; and (2) resolving interoperability issues in heterogeneous, multi-medium networks that involve real-time interaction among undersea, aerial, and water-surface vehicles. The broader impacts of the project derive from the anticipated advancements in open source, software-defined hardware architectures for vehicle-to-vehicle communication. The effort has the potential to significantly benefit data collection activities for ocean engineers and marine scientists, supporting applications in marine biology, seabed mapping, and chemical oceanography. Potential benefits for search-and-rescue operations and maritime security are also evident. The project will involve two REU participants each summer, with a primary focus on developing and evaluating the supporting hardware and software. The participants will work together as a team to design electronic subsystems and supporting software blocks for software-defined radio platforms. This will require an iterative design process under the supervision of Dr. Sklivanitis. The intent is for one participant to focus on subsystem circuit design, and the other to focus on supporting software, with both students participating in evaluation. In practice, the students are likely to collaborate across both areas. The participants will gain experience and skills in a variety of areas, including signal processing, embedded systems, underwater communications, mesh networking, and machine learning.