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

Delavar; Wang

Softcover

ISBN 10: 032385690X ISBN 13: 9780323856904

Publisher: Academic Press, 2022

Synopsis

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.

• Introduces state-of-the-art methods of biofilm modeling, such as integrated lattice Boltzmann method (LBM) and cellular automata (CA) and integrated LBM and individual-based model (iBM)
• Provides recent progress in more powerful tools for a deeper understanding of biofilm complexity by implementing state-of-the art biofilm modeling programs
• Compares advantages and disadvantages of different biofilm models and analyzes some specific problems for model selection
• Evaluates novel process designs without the cost, time and risk of building a physical prototype of the process to identify the most promising designs for experimental testing

About this title

About the Authors

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 Shipbuilding Engineering Institute, Ph.D. degrees in chemical and mechanical engineering from East China University of Science and Technology in 1989 and 1996, respectively. Then he joined Shanghai Jiaotong University as an associate professor in 1996. From 1999 till 2012 he worked at the Universities of Sheffield, Greenwich, and Loughborough, and Scottish Crop Research Institute and Rothamsted Research, UK, as research associate, research scientist and principal research scientist, respectively. Dr. Wang has over 30 years’ experience of multi-scale and multidisciplinary modelling and is internationally recognized leader in microbiology, infectious diseases, and public health. He has authored/co-authored over 150 papers, including over 100 refereed journal papers, and serves as associate editor and editorial board member on several international journals. He is also a reviewer of papers for over 100 international journals.

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.

Edition details

• Publisher: Academic Press
• Publication date: 2022
• Language: English
• ISBN 10: 032385690X
• ISBN 13: 9780323856904
• Binding: Paperback
• Edition number: 1
• Number of pages: 264