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Academic Press Advanced Methods and Mathematical Modeling of Biofilms: Applications in health care, medicine, food, aquaculture, environment, and industry

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Advanced Mathematical Modelling of Biofilms and its Applications covers the concepts and fundamentals of biofilms, including sections on numerical discrete and numerical continuum models and different biofilms methods, e.g., the lattice Boltzmann method (LBM) and cellular automata (CA) and integrated LBM and individual-based model (iBM). Other sections focus on design, problem-solving and state-of-the-art modelling methods. Addressing the needs to upgrade and update information and knowledge for students, researchers and engineers on biofilms in health care, medicine, food, aquaculture and industry, this book also covers areas of uncertainty and future needs for advancing the use of biofilm models. Over the past 25-30 years, there have been rapid advances in various areas of computer technologies, applications and methods (e.g. complex programming and algorithms, lattice Boltzmann method, high resolution visualization and high-performance computation). These new and emerging technologies are providing unprecedented opportunities to develop modeling frameworks of biofilms and their applications. Review Provides an introduction on the state-of-the art of biofilm models, areas of uncertainty, and future needs for advancing the use of biofilm models From the Back Cover Over the past 25-30 years, there have been rapid advances in various areas of computer technologies, applications and methods (e.g. complex programming and algorithms, lattice Boltzmann method, high resolution visualization and high-performance computation). These new and emerging technologies are providing unprecedented opportunities to develop modelling frameworks of biofilms and their applications. However, these progresses are scattered in the different disciplines, such as in healthcare antimicrobial resistance, persistent infections, and the failure of medical interventions, as biofuel production, biological wastewater treatment, and contaminated soil bioremediation. Starting with introduction, background, research and modelling of biofilms, Advanced Methods and mathematical Modelling of Biofilms and its applications dedicates on chapter on the concepts and fundamentals of biofilms. Chapter 3 and 4 are on numerical discrete and numerical continuum models and different biofilms methods e.g. lattice Boltzmann method (LBM) and cellular automata (CA) and integrated LBM and individual-based model (iBM). Chapter 5 focuses on design problem and problem solving. Advanced Methods and Mathematical Modelling of Biofilms and its Applications provides an introduction of biofilm modelling, including the state of art modelling methods. Addressing the the needs to upgrade and update information and knowledge for the students, researchers and engineers on biofilms in health care, medicine, food, aquaculture and industry. It gives an introduction on the state-of-the art models, areas of uncertainty, and future needs for advancing the use of biofilm models. About the Author Dr. Mojtaba Aghajani Delavar is a postdoctoral fellow at Athabasca University. He received his B.Sc. in mechanical engineering from Amirkabir University of Technology in 2001, M.Sc. and Ph.D. in mechanical Engineering from Mazandaran University in 2003 and 2010, respectively. He worked at Babol Noshirvani University of Technology in Iran as assistant and associate professor from 2010 until 2019. Then he joined professor Wang’s research group at Athabasca university. Dr. Delavar has about 20 year’s experience in modelling of various industrial and biological systems using different modelling schemes including mathematical and numerical analysis and simulation. He has authored/co-authored over 80 papers including more than 45 peer reviewed journal papers. Dr. Junye Wang is a Professor and the Campus Alberta Innovation Program (CAIP) Research Chair at Athabasca University, Canada. He received his M.Sc. degree in thermo-physics from Harbin Shipbuildi

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Format
paperback
Domain
Amazon UK
Release Date
18 May 2022
Listed Since
03 November 2021

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