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ACE: Autonomous Conformity Evaluation of Tensor Data by Means of Novel L1-norm Principal-Component Analysis

Overview: (i) Blind evaluation/screening of incoming sensed data of autonomous platforms and (ii) data quality assessment in training sets.

SII Planning: Center for Next Generation Wireless Spectrum Sharing

Overview: A planning grant for the Spectrum Innovation Initiative: National Center for Wireless Spectrum Research (SII-Center).

Autonomously Reconfigurable Hardware-Reduced Wideband Transceivers for Efficient Passive-Active Spectrum Coexistence

Overview: Research in novel low-cost hardware-reduced and multi-parameter reconfigurable ultra-wideband transceivers that optimize passive-active spectrum sharing across a broad frequency range.

Making the Master's Degree in Artificial Intelligence Accessible to High-Achieving Low-Income Students

Overview: This project will contribute to the national need for well-educated scientists, mathematicians, engineers, and technicians by supporting the retention and graduation of high-achieving, low-income students with demonstrated financial need at Florida Atlantic University, a Hispanic Serving Institution.

Advancing Self-Localization and Intelligent Mapping (SLIM) for Swarm of Autonomous Unmanned Underwater Vehicles using Machine Learning

  • Naval Sea Systems Command (NAVSEA) - Naval Engineering Education Consortium (NEEC)
  • Zhen Ni (FAU PI/PD)
  • Duration: Jun. 2020-May 2023

Overview: The project is to expand the Unmanned Underwater Vehicles (UUVs) capabilities through artificial intelligence to static undersea sensors and/or dynamic undersea groups. The proposed research is to improve the autonomous perception and data fusion in an effort to generate world models from individual sensing, while localizing the sensors and UUV swarm within the model. This project is in collaboration with South Dakota School of Mines and Technology and NUWC Keyport Division.

Analysis of Reconciliation/Privacy Amplification of Physical Layer Security for Underwater Acoustic Communications

Overview: Analysis of physical layer security algorithms for underwater acoustic networks.

Novel Ultra-Wideband Antenna Array Design for Low-Cost High Data Rate Rural Communications

Reinforcement Learning for Navigation and Coordination of Bioinspired Underwater Vehicles in Close Formation

Real-time Harmful Algal Bloom Detection and Monitoring: Testing a Novel Automated Classification Algorithm in Holographic Imagery

Autonomous Hierarchical Adaptive Dynamic Programming for Decision Making in Complex Environment

  • National Science Foundation
  • Xiangnan Zhong (PI/PD)
  • Duration: Aug. 2019-Jul. 2022

Overview: An innovative reinforcement learning approach for decision making in complex environments.

A Self-Learning Intelligent Control Framework for Networked Cyber-Physical Systems

  • National Science Foundation
  • Xiangnan Zhong (PI/PD)
  • Duration: Jul. 2019-Feb. 2021

Overview: Learning in a connected multi-agent environment - a new self-learning intelligent control framework.

Cognitive Networking of the Oceans: Localization and Tracking Fundamentals

Overview: The researchers aim at advancing significantly (five-fold in precision) the state of the art in 3D passive undersea acoustic localization by providing novel algorithmic solutions to the problem of estimating the angle of arrival of undersea propagating signals in the presence of potentially faulty measurements. The project pursues a paradigm shift in how signal Direction-of-Arrival (DoA) estimation is carried out over undersea acoustic links by deviating from the familiar L2-norm-subspace decomposition theory and its variants and considering for the first time L1-norm signal subspace decomposition. The algorithms will be embedded in in-house developed programmable underwater acoustic modems to form an experimental four-node network for evaluation and demonstration.

Robust Localization by Massive MIMO

Overview: Research in robust massive MIMO localization using the POWDER-RENEW NSF Platform for Advanced Wireless Research (PAWR).