Date: Friday March 20, 2020

Time: 11:00am - 12:00pm

Location: Odette, Room 110

 

Artificial Intelligence (AI) is a field of computer engineering and computer science that harnesses the power of techniques like machine learning and deep learning to solve problems by analysing and learning from big data. With experimentally verified disease-gene association data and other types of data, deep learning methods could play an important role in identifying more disease genes towards the understanding of complex diseases. In this talk, after the introduction to artificial intelligence and deep learning, I will present two deep learning models: deep belief network and graph convolutional neural networks, which we recently developed for predicting disease/driver genes from multiple sources of data.

 

Dr. FangXiang Wu is a full professor of College of Engineering and Department of Computer Science at the University of Saskatchewan, Canada. His current research interests include Artificial Intelligence/Machine Learning, Computational Biology and Bioinformatics, Medical Image Analytics, Complex Network Analytics. He has published about 380 technical papers in refereed journals and conference proceedings.

Dr. Wu is serving as the editorial board member of six international journals (including IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB), Neurocomputing, Scientific Reports, etc.), the guest editor of more than 20 international journals, and as the program committee chair or member of many international conferences. He is a senior member of IEEE and a registered Professional Engineer in Canada.

 

For Information:

Dr. Sherif Saad Ahmed

mailto:Sherif.saadahmed@uwindsor.ca

 

5113 Lambton Tower 401 Sunset Ave. Windsor ON, N9B 3P4 (519) 253-3000 Ext. 3716 csgradinfo@uwindsor.ca