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Zhen Ni
Associate Professor
COECS ELECTRICAL ENGINEERING & COMPUTER SCIENCE | COLLEGE OF ENGINEERING & COMPUTER SCIENCE
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Computer Science
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Title
02-2026
CAREER: Toward Artificial General Intelligence for Complex Adaptive Systems: A Natural Concurrent "Learning-in- Learning" Control Paradigm
CAREER: Toward Artificial General Intelligence for Complex Adaptive Systems: A Natural Concurrent "Learning-in- Learning" Control Paradigm
National Science Foundation - Federal
02-2026
CAREER: Toward Artificial General Intelligence for Complex Adaptive Systems: A Natural Concurrent Learning-in- Learning Control Paradigm
CAREER: Toward Artificial General Intelligence for Complex Adaptive Systems: A Natural Concurrent Learning-in- Learning Control Paradigm
National Science Foundation
08-2024
REU supplement for CyberTraining project (NSF 1949921)
REU supplement for CyberTraining project (NSF 1949921)
National Science Foundation
08-2024
Request for REU supplementary funding NSF OAC award 1949921
Request for REU supplementary funding NSF OAC award 1949921
National Science Foundation - Federal
08-2024
REU supplement for CyberTraining project (NSF 1949921)
REU supplement for CyberTraining project (NSF 1949921)
National Science Foundation - Federal
08-2024
REU Supplement: Collaborative Research: CyberTraining: Implementation: Small: Multi-disciplinary Training of Learning, Optimization and Communications for Next Generation Power Engineers
REU Supplement: Collaborative Research: CyberTraining: Implementation: Small: Multi-disciplinary Training of Learning, Optimization and Communications for Next Generation Power Engineers
National Science Foundation - Federal
08-2023
Collaborative Research: CyberTraining: Implementation: Small: Multi-disciplinary Training of Learning, Optimization and Communications for Next Generation Power Engineers
Collaborative Research: CyberTraining: Implementation: Small: Multi-disciplinary Training of Learning, Optimization and Communications for Next Generation Power Engineers
National Science Foundation - Federal
09-2021
Data-Driven Hierarchical Control for Smart Community Energy Management Systems: Where Machine Learning Meets Game Theory
Data-Driven Hierarchical Control for Smart Community Energy Management Systems: Where Machine Learning Meets Game Theory
Oak Ridge Associated Universities - Assoc.
05-2021
Advancing Swarm Self-Localization and Intelligent Maneuvering (SLIM) for Autonomous Unmanned Vehicles via Machine Learning
Advancing Swarm Self-Localization and Intelligent Maneuvering (SLIM) for Autonomous Unmanned Vehicles via Machine Learning
South Dakota School of Mines & Technology -Federal Flow Thru
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Contact Information
zhenni@fau.edu
777 Glades Road Boca Raton, FL 33431
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