Han Gao

Han Gao is an academic affiliated with Technical University of Denmark (DTU), specifically within the Department of Informatics and Mathematical Modelling at DTU Informatics. Their research focuses on interdisciplinary areas spanning artificial intelligence, machine learning, robotics, and control systems. They have also collaborated with institutions like Zhejiang University, Huawei Technologies, and others, indicating a broad network of academic and industrial partnerships.

Key research interests include generative AI models, adversarial machine learning, swarm robotics, and energy systems optimization. Their work often bridges theoretical advancements and practical applications, such as improving UAV localization accuracy under GNSS denial conditions and enhancing cybersecurity in industrial IoT.

Publications highlight contributions to 3D reconstruction (e.g., DIG3D), robust backdoor attack mitigation, and unified vision models like DINO-X. Collaborations span domains like healthcare (tongue image segmentation) and environmental sensing (remote sensing analysis).

While no explicit grants or awards are listed, their prolific publication record (over 150 papers since 2004) underscores active involvement in cutting-edge research. Ongoing projects include risk-aware robotics, edge computing for logistics, and explainable AI frameworks.