Linhai Ma

I obtained my Ph.D. from the Department of Computer Science at the University of Miami, under the supervision of Dr. Liang Liang. During my Ph.D. period, my research focused on improving the robustness of deep neural networks against adversarial noises. I proposed variant methods to achieve this goal, including regularization and adversarial training. Besides conducting experiments on basic classification tasks of natural images, I proposed methods to improve the robustness of models for more complicated tasks in medical imaging domains, e.g., ECG signal automatic diagnosis, MRI image segmentation, Cephalometric landmark detection, and blood cell detection.

I did my postdoctoral work in the school of medicine, University of Florida, advised by Dr. Wei Shao. My research focused on developing deep learning methods to assist in diagnosis, as well as exploring diffusion generative models for various medical imaging tasks, including image generation and translation.

I got my master’s degree from the State Key Laboratory of Computer Science (SKLCS), Institute of Software, Chinese Academy of Sciences (ISCAS), working with Dr. Peng Wu. During my pursuit of a master’s degree, my primary research focus was in the area of software testing and concurrency. I proposed an adaptive algorithm to test C++ concurrent data structures based on the coverage criterion.

Please find my CV here.