Associate Professor of Biomedical Informatics, Arizona State University
Dr. Liang joined the Department of Biomedical Informatics at Arizona State University in December 2008, after several years at Siemens, where he was engaged in research and development activities in the domain of computer aided diagnosis in medical imaging, particularly, automatic detection of lung cancer, colon cancer and pulmonary embolism from CT images. Dr. Liang has published 40 peer-reviewed publications, filed over 20 US patent applications and mentored 9 students at Siemens. His primary research interest is in medical image processing and analysis, pattern recognition and machine learning. His objective at ASU is to create a leading research program in biomedical imaging informatics, and he would like to expand his research into cancer imaging.
Dr. Liang fervently believes that one of the greatest challenges in our time is to find cures for cancer. Imaging is not only important for early detection of cancer, but also critical for understanding the cancer, staging the cancer and determining the precise locations of the cancer to effectively guide surgery and treatment. He believes that he can make the greatest contributions of his career in cancer imaging through his knowledge and expertise in computer aided diagnosis, image processing and analysis, pattern recognition and machine learning, etc.