Hongming Xu, Ph.D.   Associate Professor School of Biomedical Engineering Faculty of Electronic Information and Electrical Engineering Dalian University of Technology Linggong Road No.2 Dalian, Liaoning 116024, China Email: mxu{at}ualberta.ca OR mxu{at}dlut.edu.cn

Biosketch

Hongming Xu is currently an Associate Professor in the School of Biomedical Engineering at Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology. He worked as a Postdoc Fellow in Hwang Lab at Cleveland Clinic between Oct. 2017 and Nov.2020. He received his Ph.D. in Department of Electrical and Computer Engineering at University of Alberta in Edmonton, Canada, July 2017, M.S. and Bachelor's degree in College of Inormation Engineering at Northwest A&F University in Yangling, China, July 2012 and 2009, respectively. His research focuses on artificial intelligence in biomedical imaging fields (particularly Pathology AI), medical image computing, imaging informatics, and machine learning.

He looks for students who are interested in medical image analysis, deep learning related biomedical applications. Students from the Department of Biomedical Engineering as well as other departments (e.g., Computer Science and Engineering, Bioengineering, etc.) are always welcome. He would like to help international students to apply Chinese Scholarships for study in China. He is also interested in research and industrial collaborations regarding to biomedical artificial intelligence. Please feel free to contact him if you are interested.

Teaching

• Biomedical Information Technology, Spring 2021,2022 (32 Hours)

• Python Porgramming, Spring 2022 (24 hours theory+12 hours practice)

• Biomedical Pattern Recognition, to be opened

Research Grants

• The Youth Fund of National Natural Science Foundation of China, Investigator, Jan 2022-Dec 2024

• The Fundamental Research Funds for the Central Universities (DUT21RC(3)038), Investigator, Jan 2021-Dec 2022

• The Cross-Exploration Research Funds (DUT21YG135), The 2nd Investigator, Jun 2021-Dec 2022

• etc.

Skills and Interests

• Medical Artificial Ingelligence (AI): Machine learning, Deep learning, Transfer learning, Multiple instance learning, Weekly supervised learning, Classification, Clustering, Regression, Survival Analysis

• Computer Vision: Graph neural networks, Convolutional neural networks, Recurrent neural networks, U-Net and other well-knonwn deep learning models

• Digital Image Processing: Image registration, Active contours (snake), Level set, Morphology analysis, Frequency transform, Medical image segmentation and detection, Texture analysis, Graph cut

Honors and Awards

• Alberta Innovates Graduate Awards (AITF Top-Up Award), Alberta, Canada, 2014-2016

• China Scholarship Council Scholarship (CSC), University of Alberta, 2012-2016

• Graduate Student Travel Award, University of Alberta, Nov.2016

• GSA Academic Travel Award, University of Alberta, Oct. 2016

• Graduate Student Professional Development Award, University of Alberta, Aug.2015

Professional Activities

Journal Reviewer

• IEEE Journal of Biomedical and Health Informatics

• IEEE/ACM Transactions on Computational Biology and Bioinformatics

• IEEE Journal of Translational Engineering in Health and Medicine

• Clinical Cancer Research

• eLife

• Pattern Recognition

• Artificial Intelligence In Medicine

• Computerized Medical Imaging and Graphics

• Scientific Reports

• Computers in Biology and Medicine

• International Journal of Imaging Systems and Technology

• etc.

Conference/Workshop Reviewer

• The International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2020-present

• TThe IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI), 2017

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