Underwater wireless power transfer is emerging as a key technology for enabling long-duration, maintenance-free operation of autonomous underwater vehicles (AUVs). This review provides the most comprehensive overview to date of magnetic-coupling-based underwater wireless charging, addressing challenges such as eddy current losses in seawater, misalignment caused by ocean dynamics, and the growing need for simultaneous transfer of power and data. By comparing transmitter–receiver coil structures, compensation networks, and control strategies, the research identifies design pathways that significantly enhance efficiency, stability, and tolerance to dynamic marine conditions. The work also highlights emerging simultaneous wireless power and data transfer (SWPDT) methods that could reshape the future of marine sensing and robotic operations.

Machine learning (ML) is rapidly emerging as a powerful tool to improve the safety, reliability, and long-term performance of marine structures exposed to harsh ocean environments. This study presents a comprehensive review of ML and deep learning algorithms applied to marine engineering, highlighting how they enhance structural design, construction efficiency, and real-time maintenance. The work introduces a novel modeling framework that integrates mechanical principles with data-driven algorithms, improving interpretability and prediction accuracy. It also outlines key challenges such as data scarcity, environmental uncertainty, and model transparency, offering guidance for future research. The review provides valuable insights for structural engineers seeking to adopt ML technologies for next-generation ocean infrastructure.

Researchers from Southeast University have developed a compact, dual-band, dual-polarized phased array for B5G/6G millimeter-wave communication. The array integrates four independent beamforming systems on a single printed circuit board, supporting concurrent operations at 28 GHz and 38 GHz. It features scalable architecture, broad bandwidth, and high spectral efficiency, making it ideal for future high-speed wireless applications.

A research team led by Dr. Jae-Woo Choi from the Water Resources Recycling Research Group and Dr. Jin Young Kim from the Center for Hydrogen and Fuel Cells at the Korea Institute of Science and Technology (KIST, President Sangrok Oh) has developed an eco-friendly palladium recovery technology based on titanium-based maxene material ('TiOx/Ti3C2Tx') nanosheets. Existing overseas technologies operated only in strongly acidic environments, limiting their applicability to weakly acidic wastewater commonly found in industrial settings.