讲座内容：Quantum deep learning（量子深度学习）
讲座人：Ferdous Sohel教授
讲座时间：10月28日 13:20-14:40
腾讯会议：834-931-5538
会议密码: 111222
Abstract：
Deep learning (DL) models have been successful in achieving high performance in a variety of applications ranging from computer vision, health informatics, digital agriculture, cyber security and remote sensing. Over the past decade there have been a continuous stream of new and powerful DL models. However, to fit the data sets or real applications, DL networks face several key challenges such as class imbalance, missing attributes, and low fidelity in the data. A variety of strategies such as network topology, data augmentation, different activation functions, cost sensitive learning and fusion of multiple networks are applied to tackle these problems. Furthermore, with increasing network complexities, DL models required more powerful computing hardware resources. In this webinar series, we are going to cover an overview of DL models with respect to the state of the art.
Short Bio：
Ferdous Sohel received a PhD degree from Monash University, Australia. He is currently a professor of information technology at Murdoch University, Australia. He previously worked at The University of Western Australia. He is the inaugural program lead of Agricultural Technologies of Western Australian Agricultural Research Collaboration. He leads research in artificial intelligence, machine vision, multiplatform/multimodal sensing, and digital technologies in agriculture, health and medicine, and environment and biosecurity. He has significantly contributed to these fields and published over 220 scientific publications with more than 11,000 citations. He also leads the Digital Agriculture theme at Murdoch University, which aims to build digital capabilities and enhance digital technologies for improved farm productivity and food security. He has secured and successfully managed research grants worth nearly $5 million. He is a recipient of the best PhD thesis medal from Monash University. He has received several best paper awards. He was a presenter of a tutorial at CVPR2015 and several keynote speeches at reputed conferences and events. He has supervised 21 PhD students to successful completion. He has hosted and mentored visiting international PhD students and academics, including those from China (funded by the China Scholarship Council). He is an Associate Editor of IEEE Transactions on Multimedia, IEEE Signal Processing Letters, and Computers and Electronics in Agriculture journals. He has served at conferences in various chair roles and international program committee roles. He is a fellow of the Higher Education Academy, a member of the Australian Computer Society, a senior member of the IEEE, and a member of the Australasian Institute of Digital Health. He was the Vice Chair of the IEEE Western Australia section (2015-2016).
