
Computational Approaches in Biomedical Nano-Engineering
Description
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Persons
ZhiWu Li received his B.S., M.S., and Ph.D. degrees in Mechanical Engineering, Automatic Control, and Manufacturing Engineering, respectively, all from Xidian University, Xi'an, China, in 1989, 1992, and 1995, respectively. He joined Xidian University in 1992. Over the past decade, he was a Visiting Professor at the University of Toronto, Technion (Israel Institute of Technology), Martin-Luther University, Conservatoire National des Arts et Métiers (Cnam), Meliksah Universitesi, King Saudi University, and the University of Cagliari. His current research interest includes Petri net theory and application, supervisory control of discrete event systems, workflow modeling and analysis, system reconfiguration, game theory, and data and process mining. He is a member of Discrete Event Systems Technical Committee of the IEEE Systems, Man, and Cybernetics Society, and a member of IFAC Technical Committee on Discrete Event and Hybrid Systems from 2011 to 2014. He serves(d) as the Associate Editor IEEE Transactions on Automation Science and Engineering (2008-2013), IEEE Transactions on Systems, Man, and Cybernetics Part A (2010-2012), IEEE Transactions on Systems, Man, and Cybernetics: Systems (2012-2016), and Information Sciences (2014-). Professor Li is a recipient of an Alexander von Humboldt Research Grant, Alexander von Humboldt Foundation, Germany, and Research in Paris, France and he is also a Fellow of IEEE.
Content
Biomedical Nano-Engineering - An Overview
2. Nanotechnology Applications - The Future Arrived Suddenly
3. Biosynthesized Nanobullets for Microbes and Biofilms
4. The Physics of Nanosensor Systems in Medicine and the Development of Physiological Monitoring Equipment
5. Non-Linear Multi-Physical Laminar Nanofluid Bioconvection Flows: Models and Computation
6. Exploring Nanotechnology Applications in Medicine
7. Microtubules: Nanobiomechanical Simulation
8. Simulations of Flowing Red Blood Cells with and without Nanoparticles Dispersion using Particle Based Numerical Methods
9. Impact of Nanofluid in Medical Treatment by Mathematical Modeling
10. Physiological Modeling and Simulation of Fluid Flows
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