Bing Ouyang

Bing Ouyang is an Associate Research Professor at Florida Atlantic University's Department of Ocean and Mechanical Engineering, with an affiliation as Affiliate Professor in the Oceanographic Center (OME). His research focuses on advanced technologies for marine and environmental systems, including underwater robotics, sensor development, and machine learning applications in aquaculture and oceanography. He leads projects integrating physics-constrained models with AI for biomass prediction, energy-efficient underwater systems, and LiDAR-based marine life monitoring.

Key research areas include:

• Underwater Inflatable Co-prime Sonar Arrays (UICSA) for marine surveillance
• Compressive sensing and hyperspectral imaging systems
• Autonomous robotics for aquaculture maintenance
• Machine learning for environmental data analysis
• Optical sensor systems for marine environments

Recent work emphasizes AI-driven solutions for IMTA (Integrated Multi-Trophic Aquaculture) systems, developing advanced sensing technologies like the Pseudorandom Encoded Light for Evaluating Biomass (PEEB) sensor. His lab also explores energy-efficient materials for underwater structures and turbulence-resistant imaging systems.

Notable collaborations involve the Harbor Branch Oceanographic Institute (HBOI) and the development of the Hybrid Aerial Underwater Robotic System (HAUCS). Projects often combine mechanical engineering innovations with advanced data analytics to address challenges in marine resource management and environmental monitoring.