报告题目：Advances in Biomechanics for Emerging Applications: From Flexible Electronics to Biomedical Engineering
报 告 人：Dr. Yuan Cheng (Monash Suzhou Research Institute)
报告时间：2021年11月26日（星期五）9:30 - 10:30
报告地点：新能源大楼附楼102会议室
报告摘要：
Among different species of biomaterials, silk fibroin has attracted great attention due to its superior mechanical properties such as high stretchability, high strength, biocompatibility, as well as its biodegradability. Here the speaker will demonstrate the efforts made to understand and further enhance the mechanical properties of silk fibroin in terms of strength and toughness combining both experimental and modelling approaches. In addition, the speaker will introduce recent work on interface between biomaterials and nanomaterials based on collaboration with experimental groups and industry partners. It was found that the mechanical properties of biomaterials could be tuned via hybrid with nanomaterials. These results provide in-depth understandings in molecular structure-mechanical property correlation in protein-nanomaterial interface, and will be providing a guideline to future design of bio-inspired materials for biomedical applications, e.g. cutting-edge consumer care products, flexible electronics, etc.
报告人简介：
Dr. Yuan Cheng is the Principal Research Fellow and President Assistant of Monash Suzhou Research Institute. She received her Bachelor degree from the Department of Mechanics and Engineering Science, Fudan University, China in July 2003, and Ph.D degree from the Department of Mechanical Engineering, National University of Singapore in April 2008. Before join in Monash Suzhou, she worked at the Institute of High Performance Computing (IHPC) in Singapore from 2007 till Feb 2021 as Senior Scientist and Group Manager. During Feb. till Jun. 2009 she visited Brown University, USA as a visiting scholar. Dr. Yuan Cheng’s research interest involve computational modeling and simulation of nanoscale assembly, as well as mechanical and physical properties of bio-inspired materials, exploring their applications in consumer care industry and wearable devices. She has published more than 80 journal papers in the leading journals including Prog. Polym. Sci., Adv. Mater., Nature. Comm., ACS Appl. Mater. Interfaces, J. Am. Chem. Soc., etc. with an H-index of 28. She has edited two books and has been serving as the Guest Editor of International Journal of Computational Methods, and Nanoscale Advances. She is elected as Fellow of International Association for Computational Mechanics.
报告题目：Artificial Intelligence in Drug Discovery: Applications and Techniques
报 告 人：Dr. Daokun Zhang (Monash Suzhou Research Institute)
报告时间：2021年11月26日（星期五）10:30 - 11:30
报告地点：新能源大楼附楼102会议室
报告摘要：
Artificial intelligence (AI) has been transforming the practice of drug discovery in the past decade. Various AI techniques have been used in a wide range of applications, such as virtual screening and drug design. In this talk, we first give an overview on drug discovery and discuss AI applications, which can be reduced to two major tasks, i.e., molecular property prediction and molecule generation. We then discuss common molecule representations and benchmark platforms. Furthermore, to summarize the progress of AI in drug discovery, we introduce the relevant AI techniques including model architectures and learning paradigms. This talk is expected to provide some guidance for researchers who are interested in working at the interface of artificial intelligence and drug discovery.
报告人简介：
Dr. Daokun Zhang is currently a Lecturer with Department of Data Science & AI, Monash University, and a Research Fellow with Monash Suzhou Research Institute. Prior to that, he was a Postdoctoral Research Associate at The University of Sydney Business School (from June 2019 to April 2021). In November 2019, Dr. Zhang received his Ph.D degree in data science from the University of Technology Sydney, NSW, Australia.