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Modeling of Mass Transport Processes in Biological Media [Kõva köide]

Edited by (Associate Professor, Department of Mechanical Engineering, University of Canterbury, Christchurch, New Zealand), Edited by (Research Dire), Edited by (Professor, Department of Mechanical and Aerospace Engineering, North Carolina State University, NC, USA), Edited by , Edited by
  • Formaat: Hardback, 616 pages, kõrgus x laius: 235x191 mm, kaal: 1400 g, Approx. 100 illustrations (100 in full color); Illustrations
  • Ilmumisaeg: 30-Aug-2022
  • Kirjastus: Academic Press Inc
  • ISBN-10: 0443157650
  • ISBN-13: 9780443157653
Teised raamatud teemal:
Modeling of Mass Transport Processes in Biological MediaSuurem pilt
  • Formaat: Hardback, 616 pages, kõrgus x laius: 235x191 mm, kaal: 1400 g, Approx. 100 illustrations (100 in full color); Illustrations
  • Ilmumisaeg: 30-Aug-2022
  • Kirjastus: Academic Press Inc
  • ISBN-10: 0443157650
  • ISBN-13: 9780443157653
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9780443157653.html
Märksõnad:

Modeling of Mass Transport Processes in Biological Media focuses on applications of mass transfer relevant to biomedical processes and technology—fields that require quantitative mechanistic descriptions of the delivery of molecules and drugs. This book features recent advances and developments in biomedical therapies with a focus on the associated theoretical and mathematical techniques necessary to predict mass transfer in biological systems.

The book is authored by over 50 established researchers who are internationally recognized as leaders in their fields. Each chapter contains a comprehensive introductory section for those new to the field, followed by recent modeling developments motivated by empirical experimental observation. Offering a unique opportunity for the reader to access recent developments from technical, theoretical, and engineering perspectives, this book is ideal for graduate and postdoctoral researchers in academia as well as experienced researchers in biomedical industries.

  • Offers updated information related to advanced techniques and fundamental knowledge, particularly advances in computer-based diagnostics and treatment and numerical simulations
  • Provides a bridge between well-established theories and the latest developments in the field
  • Coverage includes dialysis, inert solute transport (insulin), electrokinetic transport, cellular molecular uptake, transdermal drug delivery and respiratory therapies
Contributors xv
Preface xxi
Chapter 1 Applications of porous media in biological transport modeling
1(16)
Khalil Khanafer
Kambiz Vafai
1.1 Introduction
1(1)
1.2 Applications of porous media in modeling in modeling transport phenomena in arteries
1(4)
1.3 Fluid-structure interaction in biomedical applications
5(1)
1.4 Brain aneurysms
6(4)
1.5 Magnetic resonance imaging (MRI)
10(1)
1.6 Concluding remarks
11(1)
References
12(5)
Chapter 2 Metabolic consumption of microorganisms
17(16)
Peter Vadasz
Alisa S. Vadasz
2.1 Introduction
17(3)
2.2 Model formulation and metabolic mass transfer
20(1)
2.3 Analysis of the equation governing monotonic growth
21(3)
2.3.1 Dimensionless form of the governing equation
21(1)
2.3.2 Condition for a logarithmic inflection point (LIP)
22(1)
2.3.3 Representation of the solutions on phase diagrams and LAG
23(1)
2.4 Closed form analytical solution of the monotonic growth
24(2)
2.5 Results and discussion
26(1)
2.6 Conclusions
27(3)
References
30(2)
Further reading
32(1)
Chapter 3 Numerical simulation of deformability cytometry: Transport of a biological cell through a microfluidic channel
33(24)
Lucas Daniel Wittwer
Felix Reichel
Sebastian Aland
3.1 Introduction
33(2)
3.2 Modeling biological cells in an RT-DC channel
35(4)
3.2.1 The measurement buffer as a non-Newtonian fluid
35(1)
3.2.2 The cell as a viscoelastic solid material
36(1)
3.2.3 Boundary conditions and fluid-solid coupling
37(1)
3.2.4 Finite-element implementation
37(2)
3.3 Hydrodynamic stresses on the cell surface
39(3)
3.3.1 Fluid flow in the microfluidic chip
39(1)
3.3.2 Deformed cells in the region of interest
40(2)
3.4 Cell shapes and cell deformation
42(5)
3.4.1 Deformation of highly viscous cells at the outflow
46(1)
3.4.2 Inertia ratio and Fourier transcriptors
46(1)
3.5 Extraction of the cell viscosity
47(3)
3.6 Approximation error of the cell volume over the channel
50(2)
3.7 Conclusions
52(1)
Appendix Derivation of the deformation measure from cell contours
53(1)
Fourier shape descriptors
54(1)
Acknowledgments
54(1)
References
54(3)
Chapter 4 Computation of organelle age during axonal transport
57(30)
Ivan A. Kuznetsov
Andrey V. Kuznetsov
4.1 Introduction
57(2)
4.2 Governing equations
59(3)
4.3 Simulation of the DCV concentration in the axon
62(1)
4.4 Age distribution model of DCVs and mean age of DCVs in boutons
63(3)
4.5 Parameter value estimation
66(3)
4.5.1 Two groups of parameters
66(1)
4.5.2 Estimation of saturated concentrations of DCVs in the resident state in boutons
67(1)
4.5.3 Estimation of the mass transfer coefficients and the saturated concentrations of DCVs in boutons
68(1)
4.6 Numerical approach
69(1)
4.7 Results
69(8)
4.7.1 Assumption about the fate of DCVs captured into the resident state in boutons
69(1)
4.7.2 Verification of the values to which concentrations converge as t → ∞
69(4)
4.7.3 Investigating sensitivity of the mean age of DCVs in boutons to various parameters
73(3)
4.7.4 Verifying the accuracy of computations
76(1)
4.7.5 Effect of parameter e on anterograde and retrograde fluxes between the boutons
76(1)
4.8 Discussion, model constraints, and future directions
77(6)
Acknowledgments
83(1)
References
83(4)
Chapter 5 Continuum models of drug transport to multiple cell-type population
87(52)
Filippo de Monte
Giampaolo D'Alessandro
Sid Becker
Giuseppe Pontrelli
5.1 Introduction
88(7)
5.1.1 Transmembrane transport
90(1)
5.1.2 Reaction terms and binding models
91(2)
5.1.3 Extension to multiple cell-type populations
93(2)
5.2 Formulation of the problem
95(5)
5.2.1 Concentrations and volume-averaged variables
96(2)
5.2.2 Governing equations
98(2)
5.3 Method of solution
100(7)
5.3.1 Uncoupling procedure
100(5)
5.3.2 Transformed mass balance equation for the extracellular space
105(1)
5.3.3 Physical interpretation: The dual-phase-lag model
105(2)
5.3.4 Concentration distribution of the k-th type of cell
107(1)
5.4 Case study: A 3D rectangular biological tissue
107(14)
5.4.1 One-dimensional governing equations
108(2)
5.4.2 Exact analytical solution
110(5)
5.4.3 Concentration solution in dimensionless form
115(2)
5.4.4 Convergence of the series-solution
117(3)
5.4.5 Computation of the eigenvalues
120(1)
5.5 Results and discussion
121(3)
5.6 Conclusions
124(1)
5.A Appendix A
124(3)
5.B Appendix B
127(1)
5.C Appendix C
128(1)
5.D Appendix D
129(3)
5.D.1 Convergence criteria
130(2)
5.E Appendix E
132(7)
5.E.1 Convergence criteria
133(2)
References
135(4)
Chapter 6 Computational investigation of the role of low-density lipoprotein and oxygen transport in atherosclerotic arteries
139(76)
Anna Corti
Monika Colombo
Giuseppe De Nisco
Jose Felix Rodriguez Matas
Francesco Migliavacca
Claudio Chiastra
6.1 Introduction: Atherosclerosis and the role of mass transport
139(2)
6.2 Mass transfer of low-density lipoproteins and oxygen in arteries: Theoretical background
141(10)
6.2.1 Transport mechanisms
141(2)
6.2.2 Role of hemodynamics
143(4)
6.2.3 Mathematical formulation and modeling strategies
147(4)
6.3 Mass transfer of low-density lipoproteins in arteries: Computational modeling
151(30)
6.3.1 Introduction
151(1)
6.3.2 Wall-free models
151(8)
6.3.3 Fluid-wall models
159(13)
6.3.4 Multilayer models
172(9)
6.4 Mass transfer of oxygen in arteries: Computational modeling
181(18)
6.4.1 Introduction
181(1)
6.4.2 Wall-free models
181(13)
6.4.3 Fluid-wall models
194(5)
6.5 Limitations of the current models and future directions
199(3)
6.6 Conclusions
202(1)
Acknowledgment
203(1)
References
203(12)
Chapter 7 Fluid dynamics and mass transport in lower limb vessels: Effects on restenosis
215(44)
Monika Colombo
Anna Corti
Sean McGinty
Francesco Migliavacca
Claudio Chiastra
7.1 Introduction
215(1)
7.2 Lower limb vessels: Anatomy, physiopathology, treatment options, and their failure
216(5)
7.2.1 Anatomy and pathophysiology of lower limb vessels
216(2)
7.2.2 Treatments of lower limb vessels and their failure
218(3)
7.3 Modeling the hemodynamics of treated lower limb vessels
221(16)
7.3.1 Introduction
221(1)
7.3.2 Computational models of lower limb hemodynamics
222(8)
7.3.3 In-stent restenosis
230(4)
7.3.4 Restenosis in vein grafts
234(2)
7.3.5 Limitations of the current CFD models
236(1)
7.4 State-of-the-art computational mass transport models of lower limb vessels
237(14)
7.4.1 Introduction
237(2)
7.4.2 Modeling mass transport in lower limb vessels
239(3)
7.4.3 Modeling the transport of drugs delivered from drug-coated balloons
242(3)
7.4.4 Limitations of the current models of mass transport in lower limb vessels
245(2)
7.4.5 Future remarks on drug transport in diseased lower limb vessels
247(4)
7.5 Conclusions and future directions
251(1)
Acknowledgment
252(1)
References
252(7)
Chapter 8 Numerical modeling in support of locoregional drug delivery during transarterial therapies for liver cancer
259(28)
Charlotte Debbaut
Tim Bomberna
8.1 Introduction
259(5)
8.1.1 Clinical context
260(1)
8.1.2 Transarterial therapies
260(1)
8.1.3 Chemoembolization versus radioembolization
260(2)
8.1.4 Clinical microspheres
262(1)
8.1.5 Clinical catheter types
262(1)
8.1.6 The role of numerical modeling
263(1)
8.2 State of the art of computational techniques
264(10)
8.2.1 Hepatic arterial geometry
264(2)
8.2.2 Dimensionality
266(1)
8.2.3 Multiphase physics
267(3)
8.2.4 Flow pulsatility
270(1)
8.2.5 Fluid--structure interaction
270(1)
8.2.6 Boundary conditions
271(3)
8.3 Clinical parameters
274(7)
8.3.1 Cross-sectional injection location
274(1)
8.3.2 Axial injection location
275(2)
8.3.3 Microsphere types and characteristics
277(1)
8.3.4 Catheter type, distal direction, and tip orientation
278(1)
8.3.5 Catheter injection flow rate
279(2)
8.4 State of the art of experimental techniques
281(2)
8.4.1 In vitro techniques
281(2)
8.4.2 In vivo techniques
283(1)
8.5 Closing remarks
283(1)
Acknowledgment
284(1)
Funding
284(1)
References
284(3)
Chapter 9 Active gel: A continuum physics perspective
287(24)
Luciano Teresi
Michele Curatolo
Paola Nardinocchi
9.1 Introduction
287(1)
9.2 A short insight into active gel physics
287(3)
9.3 A continuum model of active gels
290(9)
9.3.1 Chemo-mechanical states
290(2)
9.3.2 The balance laws
292(1)
9.3.3 Constitutive theory
293(4)
9.3.4 Remodeling and diffusion evolution laws
297(1)
9.3.5 Simple solutions and steady states
298(1)
9.4 Worked examples
299(6)
9.4.1 Bulk contraction in homogeneous active gels
300(2)
9.4.2 Driving liquid migration by bulk contraction
302(3)
9.5 Conclusions and future challenges
305(1)
Appendix Cylindrical coordinates
305(3)
Acknowledgments
308(1)
References
308(3)
Chapter 10 Modeling nasal spray droplet deposition and translocation in nasal airway for olfactory delivery
311(24)
Xiuhua April Si
Jinxiang Xi
10.1 Introduction
311(2)
10.2 Materials and methods
313(6)
10.2.1 Study design
313(1)
10.2.2 Nasal airway model
314(2)
10.2.3 Spray release model
316(1)
10.2.4 Airflow and droplet transport models
317(1)
10.2.5 Eulerian wall film model
317(1)
10.2.6 Numerical methods
318(1)
10.3 Results
319(9)
10.3.1 Airflow and wall shear
319(1)
10.3.2 Initial deposition of nasal droplets
320(5)
10.3.3 Wall film migration
325(3)
10.4 Discussions and conclusion
328(2)
Acknowledgment
330(1)
References
330(5)
Chapter 11 Drug delivery and in vivo absorption
335(56)
Michela Abrami
Lucia Grassi
Rossella Farra
Barbara Dapas
Rosario di Vittorio
Gabriele Grassi
Gesmi Milcovich
Mario Grassi
11.1 Drug delivery
335(18)
11.1.1 History
335(2)
11.1.2 Modern age: Second millennium
337(2)
11.1.3 Modern age: Third millennium
339(12)
11.1.4 Mathematical modeling
351(2)
11.2 State of the art
353(22)
11.2.1 Drug delivery models
353(16)
11.2.2 PK and PBPK models
369(4)
11.2.3 IVIV correlations
373(2)
11.3 Oral administration
375(7)
11.4 Conclusions
382(1)
References
382(9)
Chapter 12 Modeling the physiological phenomena and the effects of therapy on the dynamics of tumor growth
391(14)
Levente Kovacs
Daniel Andras Drexler
12.1 Introduction
391(1)
12.2 Formal reaction kinetics
392(3)
12.3 Creating tumor model with formal reaction kinetics
395(7)
12.4 Concluding remarks
402(1)
References
402(3)
Chapter 13 Mathematical models of water transport across ocular epithelial layers
405(30)
Mariia Dvoriashyna
Alexander J.E. Foss
Eamonn A. Gaffney
Rodolfo Repetto
13.1 Introduction to fluid transport in the eye
405(3)
13.1.1 Brief description of the anatomy and physiology of the eye
405(2)
13.1.2 General characteristics of ocular epithelial layers
407(1)
13.2 Formulation of the problem of water and solute transport
408(3)
13.2.1 Governing equations
408(1)
13.2.2 Ion transport across the cell membrane
409(2)
13.3 Mechanisms involved in water transport across cell layers
411(9)
13.3.1 Mechanical pressure difference
411(1)
13.3.2 Oncotic and osmotic pressures
412(1)
13.3.3 Local osmosis
412(3)
13.3.4 Electroosmosis
415(4)
13.3.5 Cotransporter as a possible means of water transport
419(1)
13.4 Aqueous humor production at the ciliary processes
420(4)
13.4.1 Importance of aqueous humor production for ocular homeostasis
420(1)
13.4.2 Mechanisms of aqueous humor formation
421(1)
13.4.3 Models of aqueous formation
422(2)
13.5 Transport across the corneal endothelium
424(4)
13.5.1 Structure of the cornea and corneal endothelium
424(1)
13.5.2 Importance of corneal endothelium to prevent corneal swelling
425(1)
13.5.3 Proposed mechanisms of fluid transport across the corneal endothelium
425(1)
13.5.4 A model of electroosmotic transport across the corneal endothelium
426(2)
13.6 Transport across the retinal pigment epithelium
428(2)
13.6.1 Structure of the retinal pigment epithelium and its function in regulating fluid flow across the retina
428(1)
13.6.2 A mathematical model of ion and fluid transport across the RPE
428(2)
13.7 Conclusions
430(1)
References
431(4)
Chapter 14 Multidimensional modeling of solid tumor proliferation following drug treatment: Toward computational prognosis as a tool to support oncology
435(20)
Maria Valeria De Bonis
Laura Lagonigro
Francesco Marra
Gianpaolo Ruocco
14.1 Introduction
435(3)
14.1.1 Cancer proliferation and current understanding
435(1)
14.1.2 Improved prognoses via cancer modeling
436(1)
14.1.3 The proposed framework for solid tumor prognosis
436(2)
14.2 The workflow of the simulation framework
438(3)
14.3 Mathematical formulation
441(4)
14.3.1 Tumor progression phases
441(2)
14.3.2 The administered therapy
443(1)
14.3.3 The biological conversion mechanism
443(1)
14.3.4 Governing equations
443(1)
14.3.5 Initial and boundary conditions, proliferation, and therapy onset
444(1)
14.3.6 Numerical treatment
445(1)
14.4 Results
445(7)
14.4.1 A new interpretation of DLBCL proliferation and therapy effect
445(3)
14.4.2 Same-IPI patients, with different tumor progressions
448(1)
14.4.3 Virtual therapy testing
448(1)
14.4.4 Virtual tumor malignancy testing
448(1)
14.4.5 Model assumptions
448(4)
14.5 Conclusions
452(1)
References
452(3)
Chapter 15 Modeling LDL accumulation within an arterial wall
455(38)
M. Iasiello
c. Tucci
A. Andreozzi
N. Bianco
K. Vafai
15.1 Introduction
455(4)
15.1.1 The relationship between low-density lipoprotein and cardiovascular diseases (CVDs)
455(2)
15.1.2 Anatomy of an artery
457(1)
15.1.3 Summary of the present chapter
458(1)
15.2 Wall-free and single-layer models
459(3)
15.2.1 Wall-free models
459(1)
15.2.2 Single-layer models
460(2)
15.3 Multilayer modeling
462(11)
15.3.1 Introduction
462(2)
15.3.2 Governing equations
464(2)
15.3.3 Transport properties
466(7)
15.4 Published results of multilayer models
473(13)
15.4.1 Straight idealized arteries
473(6)
15.4.2 Stenosed idealized arteries
479(4)
15.4.3 Bifurcations, patient-specific, and curved geometries
483(3)
15.5 Conclusions and future developments
486(2)
References
488(5)
Chapter 16 Modeling transport of soluble proteins and metabolites in the brain
493(16)
Neil T. Wright
Bingmei M. Fu
Christina Chan
Shay Ladd
16.1 Introduction
493(3)
16.2 Blood-brain barrier
496(2)
16.2.1 Flow across the BBB
496(2)
16.3 Flow through the parenchyma
498(6)
16.3.1 Illustrative example
498(2)
16.3.2 Paravascular flow
500(4)
16.4 Conclusions
504(1)
Acknowledgments
504(1)
References
505(4)
Chapter 17 Hybrid-dimensional models for blood flow and mass transport: Sequential and embedded 3D-1D models
509(28)
Luca Formaggia
Paolo Zunino
17.1 Introduction
509(5)
17.1.1 Multiscale modeling of the cardiovascular system
510(4)
17.2 3D-1D geometric sequential multiscale models
514(4)
17.2.1 1D models for larger deformable vessels
514(1)
17.2.2 Conditions at the boundaries and at the junctions
515(1)
17.2.3 Compartmental (0D) models
516(1)
17.2.4 1D models for blood solutes
517(1)
17.2.5 Sequential coupling of 3D and 1D models
517(1)
17.3 3D-1D geometric embedded multiscale models
518(15)
17.3.1 1D models for rigid vessels
520(4)
17.3.2 More complex geometries, vascular networks
524(2)
17.3.3 The embedded coupling conditions
526(3)
17.3.4 A 3D-1D embedded model for mass transport
529(2)
17.3.5 Numerical simulations of oxygen transport
531(2)
17.4 Conclusions
533(1)
References
534(3)
Chapter 18 Chemical thermodynamic principles and computational modeling of NOX2-mediated ROS production on cell membrane
537(44)
Shima Sadri
Said H. Audi
Namrata Tomar
Allen W. Cowley Jr
Ranjan K. Dash
18.1 Introduction
537(3)
18.2 Thermodynamic principles for biochemical systems modeling
540(5)
18.2.1 Thermodynamics of biochemical reactions
540(2)
18.2.2 Thermodynamics of oxidation-reduction reactions
542(3)
18.3 Mathematical modeling of NOX2 enzyme function
545(13)
18.3.1 Mechanistic computational modeling of NOX2 assembly and activation
547(4)
18.3.2 Thermodynamically constrained computational modeling of NOX2 complex-mediated electron transfer, superoxide production, and regulation by pH
551(7)
18.3.3 Calculation of apparent enzyme kinetic parameters
558(1)
18.4 Data analysis and estimation of unknown model parameters
558(6)
18.4.1 Key experimental data for model parameterization and validation
558(2)
18.4.2 Estimation of unknown model parameters by fitting model solutions to experimental data
560(4)
18.5 Biological insights into NOX2 enzyme function
564(6)
18.5.1 Kinetic mechanisms of NOX2 assembly, activation, and regulation by guanine nucleotides and mutual binding enhancements between cytosolic subunits
564(1)
18.5.2 Kinetic mechanisms of NOX2 complex-mediated electron transfer and superoxide production, and regulation by pH
565(1)
18.5.3 Model corroborations and simulations of key emergent properties of NOX2 enzyme system and crosstalk between NOX2 assembly and activation with NOX2 complex-mediated electron transfer and superoxide production
566(4)
18.6 Summary and conclusion
570(3)
18.7 Model limitations and future directions
573(3)
Acknowledgment
576(1)
References
576(5)
Index 581
Sid Becker is an Associate Professor in the Department of Mechanical Engineering at the University of Canterbury. He is an Alexander von Humboldt Fellow and is a recipient of the Royal Society of New Zealand Marsden Grant. He has held academic positions in Germany, the United States, and New Zealand. His research is primarily in computational and analytical modelling of heat and mass transfer processes in biological media. Dr. Becker is also the editor of the book Modeling of Microscale Transport in Biological Processes (2017) and co-editor of the books Heat Transfer and Fluid Flow in Biological Processes (2015), and Transport in Biological Media (2013). Dr. Kuznetsov is Professor at the Department of Mechanical & Aerospace Engineering at North Carolina State University. He holds a joint professorial position at the University of North Carolinas Biomedical Engineering Department. He is a Fellow of American Society of Mechanical Engineering, an Editorial Board Member of the Proceeding of the Royal Society A, and an Associate Editor of the Journal of Porous Media. He is a recipient of the prestigious Humboldt Research Award. In 2014, Dr. Kuznetsov was elected as a Member of the Scientific Council of the International Center of Heat and Mass Transfer. He has published more than 400 journal papers, 17 book chapters, 3 books, and 100 conference papers. His works have been cited over 12,000 times: he has an h-index of 51 and an i-10 index of over 220. While his most notable early contributions are in the development of the field of porous media, Prof. Kuznetsovs research interests in the general area of numerical modeling are extensive, including transport in living tissues, sub-cellular transport, mass transport in neurons and axons, bioheat transport, bioconvective sedimentation, fluid mechanics, flows in microgravity, and turbulence. Dr. de Monte is a Professor of Mechanical Engineering at University of LAquila, Italy. He served as a full-time Visiting Ph.D. student at the Department of Engineering, University of Cambridge, UK, in 1992, and a seasonal Visiting Associate Professor at the Department of Mechanical Engineering, Michigan State University, USA, in 2007 up to 2014. Also, he is a Member of American Society of Mechanical Engineers (ASME) and holds editorial positions at the Journal of Verification, Validation and Uncertainty Quantification (ASME), Mathematical Problems in Engineering and Heat Transfer Engineering (here as guest editor). He was the Chairman of the 10th International Conference on Inverse Problems in Engineering (ICIPE 22), May 15-19, 2022, Francavilla al Mare (Chiet), Italy, and is co-author of the Wiley 2nd Edition book: Inverse Heat Conduction: Ill-Posed Problems (Spring 2023), by Woodbury, Najafi, de Monte and Beck. Giuseppe Pontrelli is a research director at Istituto per le Applicazioni del Calcolo of CNR in Rome. His research interests include applied mathematics, continuum mechanics and numerical analysis with application in biofluid dynamics, physiological flows at micro and nanoscale, mass transport, drug delivery systems. Over the years, he has worked on many research projects and developed, with a multi-disciplinary approach, mathematical models and computational methods for complex systems related to health.He is the author of over 80 papers in international scientific periodicals and book chaptersand an associate editor of journals focusing on the above themes. Prof. Dan Zhao is the director of Master Engineering Studies at the University of Canterbury, New Zealand. He serves on a number of scientific journals as the chief and associate editors such as AIAA Journal, Journal of the Royal Society of New Zealand, Aerospace Science and Technology, and Journal of Engineering for Gas Turbines and Power (ASME). Prof. Zhao has been awarded with the prestigious fellowships from Engineering New Zealand, European Academy of Sciences and Arts, European Academy of Sciences as well as the ASEAN Academy of Engineering and Technology. His research expertise and interests include applying theoretical, numerical, and experimental approaches to study CO2 -free combustion science and technology, fabric drying, aeroacoustics, thermoacoustics; UAV aerodynamics; propulsion; energy harvesting; and renewable energy and fuel (ammonia and hydrogen)