Biao Wang

Jiangsu University of Science and Technology, Shanghai Ocean University

Papers

Total Citations

175

H-Index

About

Dr. Biao Wang is a leading researcher at the intersection of artificial intelligence and marine engineering, whose work spans from deep learning-based visual recognition to autonomous robotic systems. His most impactful contribution is in facial expression recognition, where his 2022 paper on deep learning approaches has garnered 172 citations, establishing a foundational framework for emotion-aware computing. This work has significant implications for human-computer interaction, affective computing, and intelligent surveillance systems. Beyond AI, Dr. Wang has made notable strides in offshore engineering, particularly through his pioneering study on a novel marine growth cleaning robot for jacket platforms. This research addresses a critical challenge in the oil and gas industry: the biofouling of underwater structures by algae, barnacles, and mussels, which accelerates structural degradation. His interdisciplinary approach—combining computer vision with practical robotics—demonstrates a rare ability to bridge theoretical advances with real-world engineering solutions, making his work equally relevant to researchers in machine learning and marine technology.