Xin Zhong

Xin Zhong is an Assistant Professor of Computer Science at the University of Nebraska at Omaha (UNO), affiliated with the College of Information Science & Technology (IS&T). He specializes in deep learning, machine learning, computer vision, and image processing, with a focus on robust watermarking techniques, adversarial training, and multimedia security. His work integrates computational intelligence into practical applications like medical imaging, disaster risk assessment, and smart city technologies.

Dr. Zhong serves as an advisor for PhD, MS, and undergraduate researchers and contributes to academic governance as a member of the Artificial Intelligence concentration committee and the Computer Science Department’s graduate program committee. He also reviews for journals, conferences, and NSF grants, emphasizing interdisciplinary collaboration.

His research interests span image watermarking robustness, AI ethics, and interpretable machine learning. Notable contributions include innovations in cross-attention mechanisms, noise-invariant domain learning, and deep morphological neural networks. His lab focuses on advancing cybersecurity, healthcare diagnostics, and urban infrastructure safety through AI-driven solutions.

Xin Zhong’s advising and service roles reflect his commitment to advancing both technical research and educational initiatives. His projects often involve partnerships with industry and government agencies to address real-world challenges in automated systems and cyber-physical infrastructure.