Nano@Tech:Interfacial Mechanics of Cell-Nanoparticles System: A Computational Perspective
Thursday, October 11, 2018
12:00pm - 1:00pm
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Xianqiao Wang, Ph.D.
Associate Professor; College of Engineering, University of Georgia
Abstract : With the rapid development of nanotechnology, recent years have witnessed the explosive growth of a variety of nanometer-sized nanoparticles as candidates for an ever increasing list of potential applications for next generation electronics, microchips, composites, biosensors, and drug delivery. On one hand, the growing applications of nanomaterials pose serious concerns about their toxicity as they enter the human body via various pathways including the respiratory system, skin absorption, intravenous injection and implantation. On the other hand, nanomaterials show promising potentials in medical imaging and gene/drug delivery. Indeed, understanding the fundamental physics of the cell-nanomaterial interaction in the process of endocytosis is not only of paramount significance to the evaluation of beneficial and hazardous effects of nanotechnology but also to the medical applications such as gene/drug delivery and medical imaging. In this talk, I would like to provide a novel way to explore the mechanics of cell-nanomaterial interactions via a systematic and multiscale computational methodology with a focus on the effects of surface properties and mechanical properties of particles on the particle uptake and release processes, and to establish effective guidelines for designing controllable drug delivery from the computational perspective.
Bio: Dr. Xianqiao Wang is an Associate Professor of College of Engineering and the director of the Computational Nano/Bio-Mechanics Laboratory at the University of Georgia (UGA). Before he joined the University of Georgia in August 2012, he was an Assistant Research Professor at the Georgia Washington University (GWU) after he got his Ph.D. in Mechanical Engineering in 2011 from GWU. He has published more than 100 peer-reviewed papers in top international journals such as ACS Nano, Advanced Sciences, Nanoscale, Carbon, Brain Structure and Functions, Cerebral Cortex, etc. He was the recipient of the 2017 International Conferences on Computational Methods (ICCM) Young Investigator Award and the recipient of 2018 College of Engineering Excellence in Instruction. Currently his work is funded by several NSF grants, and his research interests focus on the computational biomechanics, bio-inorganic interfaces, and multiscale brain modeling.
Last revised October 2, 2018