Dr Ankush Aggarwal

  • Senior Lecturer (Infrastructure & Environment)

telephone: 01413304857
email: Ankush.Aggarwal@glasgow.ac.uk
pronouns: He/him/his

Room 621, Rankine Building, University of Glasgow, Glasgow, G12 8LT

Import to contacts

ORCID iDhttps://orcid.org/0000-0002-1755-8807

Biography

I am a Senior Lecturer in Engineering and a member of the Glasgow Computational Engineering Centre (GCEC) at the University of Glasgow. I work in the area of computational biomechanics with application to cardiovascular healthcare. I started my college education at the Indian Institute of Technology, Kharagpur and studied Aerospace Engineering. From there, I moved to the University of California, Los Angeles and obtained a PhD in Mechanical Engineering with a minor in Applied Mathematics. Afterwards, I worked as a postdoctoral fellow at the Center for Cardiovascular Simulation (CCS), part of ICES, at the University of Texas at Austin. Before joining University of Glasgow, I was a National Research Network Fellow at the Zienkiewicz Centre for Computational Engineering (ZCCE), Swansea University for three years.

Research interests

More information can be found on Computational Biomechanics Research Group website

Our research focusses on cardiovascular biomechanics using numerical and computational tools. The ongoing projects can be catergorized into four groups as shown below.

Research overview

Publications

Selected publications

Aggarwal, A. , Mortensen, P., Hao, J., Kaczmarczyk, Ł. , Cheung, A. T., Al Ghofaily, L., Gorman, R. C., Desai, N. D., Bavaria, J. E. and Pouch, A. M. (2023) Strain estimation in aortic roots from 4D echocardiographic images using medial modeling and deformable registration. Medical Image Analysis, 87, 102804. (doi: 10.1016/j.media.2023.102804) (PMID:37060701)

Aggarwal, A. , Jensen, B. S. , Pant, S. and Lee, C.-H. (2023) Strain energy density as a Gaussian process and its utilization in stochastic finite element analysis: application to planar soft tissues. Computer Methods in Applied Mechanics and Engineering, 404, 115812. (doi: 10.1016/j.cma.2022.115812)

Aggarwal, A. , Hudson, L. T., Laurence, D. W., Lee, C.-H. and Pant, S. (2023) A Bayesian constitutive model selection framework for biaxial mechanical testing of planar soft tissues: application to porcine aortic valves. Journal of the Mechanical Behavior of Biomedical Materials, 138, 105657. (doi: 10.1016/j.jmbbm.2023.105657)

Aggarwal, A. , Lombardi, D. and Pant, S. (2021) An information-theoretic framework for optimal design: analysis of protocols for estimating soft tissue parameters in biaxial experiments. Axioms, 10(2), 79. (doi: 10.3390/axioms10020079)

Aggarwal, A. and Pant, S. (2020) Beyond Newton: a new root-finding fixed-point iteration for nonlinear equations. Algorithms, 13(4), 78. (doi: 10.3390/a13040078)

Mei, Y., Hurtado, D. E., Pant, S. and Aggarwal, A. (2018) On improving the numerical convergence of highly nonlinear elasticity problems. Computer Methods in Applied Mechanics and Engineering, 337, pp. 110-127. (doi: 10.1016/j.cma.2018.03.033)

Aggarwal, A. (2018) Determination of prestress and elastic properties of virus capsids. Physical Review E, 97, 032414. (doi: 10.1103/PhysRevE.97.032414) (PMID:29776150)

Aggarwal, A. (2017) An improved parameter estimation and comparison for soft tissue constitutive models containing an exponential function. Biomechanics and Modeling in Mechanobiology, 16(4), pp. 1309-1327. (doi: 10.1007/s10237-017-0889-3) (PMID:28251368) (PMCID:PMC5511618)

Aggarwal, A. , Pouch, A. M., Lai, E., Lesicko, J., Yushkevich, P. A., Gorman III, J. H., Gorman, R. C. and Sacks, M. S. (2016) In-vivo heterogeneous functional and residual strains in human aortic valve leaflets. Journal of Biomechanics, 49(12), pp. 2481-2490. (doi: 10.1016/j.jbiomech.2016.04.038) (PMID:27207385) (PMCID:PMC5028253)

Aggarwal, A. and Sacks, M. S. (2016) An inverse modeling approach for semilunar heart valve leaflet mechanics: exploitation of tissue structure. Biomechanics and Modeling in Mechanobiology, 15(4), pp. 909-932. (doi: 10.1007/s10237-015-0732-7) (PMID:26449480)

Aggarwal, A. , May, E. R., Brooks, C. L. and Klug, W. S. (2016) Nonuniform elastic properties of macromolecules and effect of prestrain on their continuum nature. Physical Review E, 93, 012417. (doi: 10.1103/physreve.93.012417) (PMID:2687111)

Aggarwal, A. , Ferrari, G., Joyce, E., Daniels, M. J., Sainger, R., Gorman, J. H., Gorman, R. and Sacks, M. S. (2014) Architectural trends in the human normal and bicuspid aortic valve leaflet and its relevance to valve disease. Annals of Biomedical Engineering, 42(5), pp. 986-998. (doi: 10.1007/s10439-014-0973-0) (PMID:24488233) (PMCID:PMC4364391)

Aggarwal, A. , Chen, J.-S. and Klug, W.S. (2014) A meshfree method for mechanics and conformational change of proteins and their assemblies. CMES - Computer Modeling in Engineering and Sciences, 98(18), pp. 69-99.

Aggarwal, A. , Rudnick, J., Bruinsma, R.F. and Klug, W.S. (2012) Elasticity theory of macromolecular aggregates. Physical Review Letters, 109, 148102. (doi: 10.1103/PhysRevLett.109.148102) (PMID:23083291)

All publications

List by: Type | Date

Jump to: 2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 | 2014 | 2013 | 2012 | 2011 | 2009
Number of items: 39.

2024

Rosnel, C., Sivera, R., Cervi, E., Danton, M., Schievano, S., Capelli, C. and Aggarwal, A. (2024) Are aortic biomechanical properties early markers of dilatation in patients with Marfan syndrome? A systematic review and meta-analysis. Biomechanics and Modeling in Mechanobiology, (doi: 10.1007/s10237-024-01881-z) (PMID:39073692) (Early Online Publication)

Ross, C. J., Laurence, D. W., Aggarwal, A. , Hsu, M.-C., Mir, A., Burkhart, H. M. and Lee, C.-H. (2024) Bayesian optimization-based inverse Finite Element Analysis for atrioventricular heart valves. Annals of Biomedical Engineering, 56, pp. 611-626. (doi: 10.1007/s10439-023-03408-6) (PMID:37989903)

2023

Aggarwal, A. , Mortensen, P., Hao, J., Kaczmarczyk, Ł. , Cheung, A. T., Al Ghofaily, L., Gorman, R. C., Desai, N. D., Bavaria, J. E. and Pouch, A. M. (2023) Strain estimation in aortic roots from 4D echocardiographic images using medial modeling and deformable registration. Medical Image Analysis, 87, 102804. (doi: 10.1016/j.media.2023.102804) (PMID:37060701)

Aggarwal, A. , Jensen, B. S. , Pant, S. and Lee, C.-H. (2023) Strain energy density as a Gaussian process and its utilization in stochastic finite element analysis: application to planar soft tissues. Computer Methods in Applied Mechanics and Engineering, 404, 115812. (doi: 10.1016/j.cma.2022.115812)

Aggarwal, A. , Hudson, L. T., Laurence, D. W., Lee, C.-H. and Pant, S. (2023) A Bayesian constitutive model selection framework for biaxial mechanical testing of planar soft tissues: application to porcine aortic valves. Journal of the Mechanical Behavior of Biomedical Materials, 138, 105657. (doi: 10.1016/j.jmbbm.2023.105657)

2022

McQueen, A., Escuer, J., Schmidt, A. F., Aggarwal, A. , Kennedy, S. , McCormick, C., Oldroyd, K. and Mcginty, S. (2022) An intricate interplay between stent drug dose and release rate dictates arterial restenosis. Journal of Controlled Release, 349, pp. 992-1008. (doi: 10.1016/j.jconrel.2022.07.037) (PMID:35921913)

Wakeni, M. F. , Aggarwal, A. , Kaczmarczyk, Ł. , McBride, A. T. , Athanasiadis, I., Pearce, C. J. and Steinmann, P. (2022) A p-adaptive, implicit-explicit mixed finite element method for diffusion-reaction problems. International Journal for Numerical Methods in Engineering, 123(14), pp. 3237-3263. (doi: 10.1002/nme.6967)

Liu, L.-W., Lee, C.-H., Aggarwal, A. , Chao, C.-M., Ross, C. J. and Liao, Y.-K. (2022) Viscoelastic modelling of the tricuspid valve chordae tendineae tissue. Applied Mathematical Modelling, 105, pp. 648-669. (doi: 10.1016/j.apm.2021.12.028)

2021

Coccarelli, A., Carson, J. M., Aggarwal, A. and Pant, S. (2021) A framework for incorporating 3D hyperelastic vascular wall models in 1D blood flow simulations. Biomechanics and Modeling in Mechanobiology, 20(4), pp. 1231-1249. (doi: 10.1007/s10237-021-01437-5) (PMID:33683514)

Aggarwal, A. , Lombardi, D. and Pant, S. (2021) An information-theoretic framework for optimal design: analysis of protocols for estimating soft tissue parameters in biaxial experiments. Axioms, 10(2), 79. (doi: 10.3390/axioms10020079)

McQueen, A., Escuer, J., Aggarwal, A. , Kennedy, S. , McCormick, C., Oldroyd, K. and Mcginty, S. (2021) Do we really understand how drug eluted from stents modulates arterial healing? International Journal of Pharmaceutics, 601, 120575. (doi: 10.1016/j.ijpharm.2021.120575) (PMID:33845150)

2020

Aggarwal, A. and Pant, S. (2020) Beyond Newton: a new root-finding fixed-point iteration for nonlinear equations. Algorithms, 13(4), 78. (doi: 10.3390/a13040078)

McQueen, A., Kennedy, S. , McCormick, C., Aggarwal, A. and McGinty, S. (2020) Mathematical Modelling of the Effect of Drug on Smooth Muscle Cell Proliferation. Scottish Cardiovascular Forum 2020, 23rd Annual Meeting, Glasgow, UK, 1 Feb 2020.

2019

Zupan, R. J., Xu, J., Beblo, R. V., Clifford, D. T., Aggarwal, A. and Brigham, J. C. (2019) Computational design optimization of a smart material shape changing building skin tile. Engineering Structures, 201, 109839. (doi: 10.1016/j.engstruct.2019.109839)

Aggarwal, A. (2019) Effect of residual and transformation choice on computational aspects of biomechanical parameter estimation of soft tissues. Bioengineering, 6(4), 100. (doi: 10.3390/bioengineering6040100) (PMID:31671871) (PMCID:PMC6956274)

Lee, C.-H. et al. (2019) Mechanics of the tricuspid valve: from clinical diagnosis/treatment, in vivo and in vitro investigations, to patient-specific biomechanical modeling. Bioengineering, 6(2), 47. (doi: 10.3390/bioengineering6020047) (PMID:31121881) (PMCID:PMC6630695)

2018

Chen, J. et al. (2018) Evaluation of the laser-induced thermotherapy treatment effect of breast cancer based on tissue viscoelastic properties. Journal of Engineering and Science in Medical Diagnostics and Therapy, 1(4), 041009. (doi: 10.1115/1.4041502)

Mei, Y., Hurtado, D. E., Pant, S. and Aggarwal, A. (2018) On improving the numerical convergence of highly nonlinear elasticity problems. Computer Methods in Applied Mechanics and Engineering, 337, pp. 110-127. (doi: 10.1016/j.cma.2018.03.033)

Aggarwal, A. (2018) Determination of prestress and elastic properties of virus capsids. Physical Review E, 97, 032414. (doi: 10.1103/PhysRevE.97.032414) (PMID:29776150)

Coccarelli, A., Edwards, D. H., Aggarwal, A. , Nithiarasu, P. and Parthimos, D. (2018) A multiscale active structural model of the arterial wall accounting for smooth muscle dynamics. Journal of the Royal Society: Interface, 15(139), 20170732. (doi: 10.1098/rsif.2017.0732) (PMID:29436507) (PMCID:PMC5832725)

2017

Aggarwal, A. (2017) An improved parameter estimation and comparison for soft tissue constitutive models containing an exponential function. Biomechanics and Modeling in Mechanobiology, 16(4), pp. 1309-1327. (doi: 10.1007/s10237-017-0889-3) (PMID:28251368) (PMCID:PMC5511618)

2016

Soares, J. S., Feaver, K. R., Zhang, W., Kamensky, D., Aggarwal, A. and Sacks, M. S. (2016) Biomechanical behavior of bioprosthetic heart valve heterograft tissues: characterization, simulation, and performance. Cardiovascular Engineering and Technology, 7(4), pp. 309-351. (doi: 10.1007/s13239-016-0276-8) (PMID:27507280) (PMCID:PMC5537391)

Aggarwal, A. , Pouch, A. M., Lai, E., Lesicko, J., Yushkevich, P. A., Gorman III, J. H., Gorman, R. C. and Sacks, M. S. (2016) In-vivo heterogeneous functional and residual strains in human aortic valve leaflets. Journal of Biomechanics, 49(12), pp. 2481-2490. (doi: 10.1016/j.jbiomech.2016.04.038) (PMID:27207385) (PMCID:PMC5028253)

Aggarwal, A. and Sacks, M. S. (2016) An inverse modeling approach for semilunar heart valve leaflet mechanics: exploitation of tissue structure. Biomechanics and Modeling in Mechanobiology, 15(4), pp. 909-932. (doi: 10.1007/s10237-015-0732-7) (PMID:26449480)

Aggarwal, A. , May, E. R., Brooks, C. L. and Klug, W. S. (2016) Nonuniform elastic properties of macromolecules and effect of prestrain on their continuum nature. Physical Review E, 93, 012417. (doi: 10.1103/physreve.93.012417) (PMID:2687111)

2015

Perotti, L. E., Aggarwal, A. , Rudnick, J., Bruinsma, R. and Klug, W. S. (2015) Elasticity theory of the maturation of viral capsids. Journal of the Mechanics and Physics of Solids, 77, pp. 86-108. (doi: 10.1016/j.jmps.2015.01.006)

Kamensky, D., Hsu, M.-C., Schillinger, D., Evans, J. A., Aggarwal, A. , Bazilevs, Y., Sacks, M. S. and Hughes, T. J.R. (2015) An immersogeometric variational framework for fluid–structure interaction: Application to bioprosthetic heart valves. Computer Methods in Applied Mechanics and Engineering, 284, pp. 1005-1053. (doi: 10.1016/j.cma.2014.10.040) (PMID:25541566) (PMCID:PMC4274080)

Aggarwal, A. and Sacks, M. S. (2015) A framework for determination of heart valves’ mechanical properties using inverse-modeling approach. In: van Assen, H., Bovendeerd, P. and Delhaas, T. (eds.) Functional Imaging and Modeling of the Heart. Series: Lecture notes in computer science (9126). Springer, pp. 285-294. (doi: 10.1007/978-3-319-20309-6_33)

Lee, C.-H., Amini, R., Sakamoto, Y., Carruthers, C. A., Aggarwal, A. , Gorman, R. C., Gorman, J. H. and Sacks, M. S. (2015) Mitral valves: a computational framework. In: De, S., Hwang, W. and Kuhl, E. (eds.) Multiscale Modeling in Biomechanics and Mechanobiology. Springer: London, pp. 223-255. ISBN 9781447165989 (doi: 10.1007/978-1-4471-6599-6_10)

2014

Aggarwal, A. , Ferrari, G., Joyce, E., Daniels, M. J., Sainger, R., Gorman, J. H., Gorman, R. and Sacks, M. S. (2014) Architectural trends in the human normal and bicuspid aortic valve leaflet and its relevance to valve disease. Annals of Biomedical Engineering, 42(5), pp. 986-998. (doi: 10.1007/s10439-014-0973-0) (PMID:24488233) (PMCID:PMC4364391)

Aggarwal, A. and Sacks, M.S. (2014) In-vivo Assessment of Valvular Function: an Inverse Modeling Approach. In: Joint 11th World Congress on Computational Mechanics, WCCM 2014, the 5th European Conference on Computational Mechanics, ECCM 2014 and the 6th European Conference on Computational Fluid Dynamics, ECFD 2014, Barcelona, Spain, 20-25 July 2014, ISBN 9788494284472

Aggarwal, A. , Chen, J.-S. and Klug, W.S. (2014) A meshfree method for mechanics and conformational change of proteins and their assemblies. CMES - Computer Modeling in Engineering and Sciences, 98(18), pp. 69-99.

Aggarwal, A. and Sacks, M. S. (2014) Parameter Estimation of Heart Valve Leaflet Hyperelastic Mechanical Behavior Using an Inverse Modeling Approach. In: 2014 40th Annual Northeast Bioengineering Conference (NEBEC), Boston, MA., 25-27 Apr 2014, pp. 1-2. ISBN 978-1-4799-3728-8 (doi: 10.1109/NEBEC.2014.6972704)

2013

Aggarwal, A. , Aguilar, V.S., Lee, C.H., Ferrari, G., Gorman, J.H., Gorman, R.C. and Sacks, M.S. (2013) Spline Based Microstructural Mapping for Soft Biological Tissues: Application to Aortic Valves. In: ASME 2013 Summer Bioengineering Conference, SBC 2013, Sunriver, Oregon, 26-29 June 2013, V01AT04A006. (doi: 10.1115/SBC2013-14265)

Aggarwal, A. , Aguilar, V. S., Lee, C.-H., Ferrari, G., Gorman, J. H., Gorman, R. C. and Sacks, M. S. (2013) Patient-specific modeling of heart valves: From image to simulation. In: Ourselin, S., Rueckert, D. and Smith, N. (eds.) Functional Imaging and Modeling of the Heart. Series: Lecture notes in computer science (7945). Springer, pp. 141-149. ISBN 9783642388989 (doi: 10.1007/978-3-642-38899-6_17)

2012

Aggarwal, A. , Rudnick, J., Bruinsma, R.F. and Klug, W.S. (2012) Elasticity theory of macromolecular aggregates. Physical Review Letters, 109, 148102. (doi: 10.1103/PhysRevLett.109.148102) (PMID:23083291)

Cheng, S., Aggarwal, A. and Stevens, M. J. (2012) Self-assembly of artificial microtubules. Soft Matter, 8(20), pp. 5666-5678. (doi: 10.1039/c2sm25068c)

2011

May, E. R., Aggarwal, A. , Klug, W. S. and Brooks, C. L. (2011) Viral capsid equilibrium dynamics reveals nonuniform elastic properties. Biophysical Journal, 100(11), L59-L61. (doi: 10.1016/j.bpj.2011.04.026) (PMID:21641297) (PMCID:PMC3117158)

2009

Agarwal, S., Aggarwal, A. , Dasgupta, S. and De, S. (2009) Performance prediction of membrane modules incorporating the effects of suction in the mass transfer coefficient under laminar and turbulent flow conditions for non-Newtonian fluids. Journal of Food Process Engineering, 32(5), pp. 752-774. (doi: 10.1111/j.1745-4530.2008.00243.x)

This list was generated on Tue Nov 19 16:46:06 2024 GMT.
Jump to: Articles | Book Sections | Conference or Workshop Item | Conference Proceedings
Number of items: 39.

Articles

Rosnel, C., Sivera, R., Cervi, E., Danton, M., Schievano, S., Capelli, C. and Aggarwal, A. (2024) Are aortic biomechanical properties early markers of dilatation in patients with Marfan syndrome? A systematic review and meta-analysis. Biomechanics and Modeling in Mechanobiology, (doi: 10.1007/s10237-024-01881-z) (PMID:39073692) (Early Online Publication)

Ross, C. J., Laurence, D. W., Aggarwal, A. , Hsu, M.-C., Mir, A., Burkhart, H. M. and Lee, C.-H. (2024) Bayesian optimization-based inverse Finite Element Analysis for atrioventricular heart valves. Annals of Biomedical Engineering, 56, pp. 611-626. (doi: 10.1007/s10439-023-03408-6) (PMID:37989903)

Aggarwal, A. , Mortensen, P., Hao, J., Kaczmarczyk, Ł. , Cheung, A. T., Al Ghofaily, L., Gorman, R. C., Desai, N. D., Bavaria, J. E. and Pouch, A. M. (2023) Strain estimation in aortic roots from 4D echocardiographic images using medial modeling and deformable registration. Medical Image Analysis, 87, 102804. (doi: 10.1016/j.media.2023.102804) (PMID:37060701)

Aggarwal, A. , Jensen, B. S. , Pant, S. and Lee, C.-H. (2023) Strain energy density as a Gaussian process and its utilization in stochastic finite element analysis: application to planar soft tissues. Computer Methods in Applied Mechanics and Engineering, 404, 115812. (doi: 10.1016/j.cma.2022.115812)

Aggarwal, A. , Hudson, L. T., Laurence, D. W., Lee, C.-H. and Pant, S. (2023) A Bayesian constitutive model selection framework for biaxial mechanical testing of planar soft tissues: application to porcine aortic valves. Journal of the Mechanical Behavior of Biomedical Materials, 138, 105657. (doi: 10.1016/j.jmbbm.2023.105657)

McQueen, A., Escuer, J., Schmidt, A. F., Aggarwal, A. , Kennedy, S. , McCormick, C., Oldroyd, K. and Mcginty, S. (2022) An intricate interplay between stent drug dose and release rate dictates arterial restenosis. Journal of Controlled Release, 349, pp. 992-1008. (doi: 10.1016/j.jconrel.2022.07.037) (PMID:35921913)

Wakeni, M. F. , Aggarwal, A. , Kaczmarczyk, Ł. , McBride, A. T. , Athanasiadis, I., Pearce, C. J. and Steinmann, P. (2022) A p-adaptive, implicit-explicit mixed finite element method for diffusion-reaction problems. International Journal for Numerical Methods in Engineering, 123(14), pp. 3237-3263. (doi: 10.1002/nme.6967)

Liu, L.-W., Lee, C.-H., Aggarwal, A. , Chao, C.-M., Ross, C. J. and Liao, Y.-K. (2022) Viscoelastic modelling of the tricuspid valve chordae tendineae tissue. Applied Mathematical Modelling, 105, pp. 648-669. (doi: 10.1016/j.apm.2021.12.028)

Coccarelli, A., Carson, J. M., Aggarwal, A. and Pant, S. (2021) A framework for incorporating 3D hyperelastic vascular wall models in 1D blood flow simulations. Biomechanics and Modeling in Mechanobiology, 20(4), pp. 1231-1249. (doi: 10.1007/s10237-021-01437-5) (PMID:33683514)

Aggarwal, A. , Lombardi, D. and Pant, S. (2021) An information-theoretic framework for optimal design: analysis of protocols for estimating soft tissue parameters in biaxial experiments. Axioms, 10(2), 79. (doi: 10.3390/axioms10020079)

McQueen, A., Escuer, J., Aggarwal, A. , Kennedy, S. , McCormick, C., Oldroyd, K. and Mcginty, S. (2021) Do we really understand how drug eluted from stents modulates arterial healing? International Journal of Pharmaceutics, 601, 120575. (doi: 10.1016/j.ijpharm.2021.120575) (PMID:33845150)

Aggarwal, A. and Pant, S. (2020) Beyond Newton: a new root-finding fixed-point iteration for nonlinear equations. Algorithms, 13(4), 78. (doi: 10.3390/a13040078)

Zupan, R. J., Xu, J., Beblo, R. V., Clifford, D. T., Aggarwal, A. and Brigham, J. C. (2019) Computational design optimization of a smart material shape changing building skin tile. Engineering Structures, 201, 109839. (doi: 10.1016/j.engstruct.2019.109839)

Aggarwal, A. (2019) Effect of residual and transformation choice on computational aspects of biomechanical parameter estimation of soft tissues. Bioengineering, 6(4), 100. (doi: 10.3390/bioengineering6040100) (PMID:31671871) (PMCID:PMC6956274)

Lee, C.-H. et al. (2019) Mechanics of the tricuspid valve: from clinical diagnosis/treatment, in vivo and in vitro investigations, to patient-specific biomechanical modeling. Bioengineering, 6(2), 47. (doi: 10.3390/bioengineering6020047) (PMID:31121881) (PMCID:PMC6630695)

Chen, J. et al. (2018) Evaluation of the laser-induced thermotherapy treatment effect of breast cancer based on tissue viscoelastic properties. Journal of Engineering and Science in Medical Diagnostics and Therapy, 1(4), 041009. (doi: 10.1115/1.4041502)

Mei, Y., Hurtado, D. E., Pant, S. and Aggarwal, A. (2018) On improving the numerical convergence of highly nonlinear elasticity problems. Computer Methods in Applied Mechanics and Engineering, 337, pp. 110-127. (doi: 10.1016/j.cma.2018.03.033)

Aggarwal, A. (2018) Determination of prestress and elastic properties of virus capsids. Physical Review E, 97, 032414. (doi: 10.1103/PhysRevE.97.032414) (PMID:29776150)

Coccarelli, A., Edwards, D. H., Aggarwal, A. , Nithiarasu, P. and Parthimos, D. (2018) A multiscale active structural model of the arterial wall accounting for smooth muscle dynamics. Journal of the Royal Society: Interface, 15(139), 20170732. (doi: 10.1098/rsif.2017.0732) (PMID:29436507) (PMCID:PMC5832725)

Aggarwal, A. (2017) An improved parameter estimation and comparison for soft tissue constitutive models containing an exponential function. Biomechanics and Modeling in Mechanobiology, 16(4), pp. 1309-1327. (doi: 10.1007/s10237-017-0889-3) (PMID:28251368) (PMCID:PMC5511618)

Soares, J. S., Feaver, K. R., Zhang, W., Kamensky, D., Aggarwal, A. and Sacks, M. S. (2016) Biomechanical behavior of bioprosthetic heart valve heterograft tissues: characterization, simulation, and performance. Cardiovascular Engineering and Technology, 7(4), pp. 309-351. (doi: 10.1007/s13239-016-0276-8) (PMID:27507280) (PMCID:PMC5537391)

Aggarwal, A. , Pouch, A. M., Lai, E., Lesicko, J., Yushkevich, P. A., Gorman III, J. H., Gorman, R. C. and Sacks, M. S. (2016) In-vivo heterogeneous functional and residual strains in human aortic valve leaflets. Journal of Biomechanics, 49(12), pp. 2481-2490. (doi: 10.1016/j.jbiomech.2016.04.038) (PMID:27207385) (PMCID:PMC5028253)

Aggarwal, A. and Sacks, M. S. (2016) An inverse modeling approach for semilunar heart valve leaflet mechanics: exploitation of tissue structure. Biomechanics and Modeling in Mechanobiology, 15(4), pp. 909-932. (doi: 10.1007/s10237-015-0732-7) (PMID:26449480)

Aggarwal, A. , May, E. R., Brooks, C. L. and Klug, W. S. (2016) Nonuniform elastic properties of macromolecules and effect of prestrain on their continuum nature. Physical Review E, 93, 012417. (doi: 10.1103/physreve.93.012417) (PMID:2687111)

Perotti, L. E., Aggarwal, A. , Rudnick, J., Bruinsma, R. and Klug, W. S. (2015) Elasticity theory of the maturation of viral capsids. Journal of the Mechanics and Physics of Solids, 77, pp. 86-108. (doi: 10.1016/j.jmps.2015.01.006)

Kamensky, D., Hsu, M.-C., Schillinger, D., Evans, J. A., Aggarwal, A. , Bazilevs, Y., Sacks, M. S. and Hughes, T. J.R. (2015) An immersogeometric variational framework for fluid–structure interaction: Application to bioprosthetic heart valves. Computer Methods in Applied Mechanics and Engineering, 284, pp. 1005-1053. (doi: 10.1016/j.cma.2014.10.040) (PMID:25541566) (PMCID:PMC4274080)

Aggarwal, A. , Ferrari, G., Joyce, E., Daniels, M. J., Sainger, R., Gorman, J. H., Gorman, R. and Sacks, M. S. (2014) Architectural trends in the human normal and bicuspid aortic valve leaflet and its relevance to valve disease. Annals of Biomedical Engineering, 42(5), pp. 986-998. (doi: 10.1007/s10439-014-0973-0) (PMID:24488233) (PMCID:PMC4364391)

Aggarwal, A. , Chen, J.-S. and Klug, W.S. (2014) A meshfree method for mechanics and conformational change of proteins and their assemblies. CMES - Computer Modeling in Engineering and Sciences, 98(18), pp. 69-99.

Aggarwal, A. , Rudnick, J., Bruinsma, R.F. and Klug, W.S. (2012) Elasticity theory of macromolecular aggregates. Physical Review Letters, 109, 148102. (doi: 10.1103/PhysRevLett.109.148102) (PMID:23083291)

Cheng, S., Aggarwal, A. and Stevens, M. J. (2012) Self-assembly of artificial microtubules. Soft Matter, 8(20), pp. 5666-5678. (doi: 10.1039/c2sm25068c)

May, E. R., Aggarwal, A. , Klug, W. S. and Brooks, C. L. (2011) Viral capsid equilibrium dynamics reveals nonuniform elastic properties. Biophysical Journal, 100(11), L59-L61. (doi: 10.1016/j.bpj.2011.04.026) (PMID:21641297) (PMCID:PMC3117158)

Agarwal, S., Aggarwal, A. , Dasgupta, S. and De, S. (2009) Performance prediction of membrane modules incorporating the effects of suction in the mass transfer coefficient under laminar and turbulent flow conditions for non-Newtonian fluids. Journal of Food Process Engineering, 32(5), pp. 752-774. (doi: 10.1111/j.1745-4530.2008.00243.x)

Book Sections

Aggarwal, A. and Sacks, M. S. (2015) A framework for determination of heart valves’ mechanical properties using inverse-modeling approach. In: van Assen, H., Bovendeerd, P. and Delhaas, T. (eds.) Functional Imaging and Modeling of the Heart. Series: Lecture notes in computer science (9126). Springer, pp. 285-294. (doi: 10.1007/978-3-319-20309-6_33)

Lee, C.-H., Amini, R., Sakamoto, Y., Carruthers, C. A., Aggarwal, A. , Gorman, R. C., Gorman, J. H. and Sacks, M. S. (2015) Mitral valves: a computational framework. In: De, S., Hwang, W. and Kuhl, E. (eds.) Multiscale Modeling in Biomechanics and Mechanobiology. Springer: London, pp. 223-255. ISBN 9781447165989 (doi: 10.1007/978-1-4471-6599-6_10)

Aggarwal, A. , Aguilar, V. S., Lee, C.-H., Ferrari, G., Gorman, J. H., Gorman, R. C. and Sacks, M. S. (2013) Patient-specific modeling of heart valves: From image to simulation. In: Ourselin, S., Rueckert, D. and Smith, N. (eds.) Functional Imaging and Modeling of the Heart. Series: Lecture notes in computer science (7945). Springer, pp. 141-149. ISBN 9783642388989 (doi: 10.1007/978-3-642-38899-6_17)

Conference or Workshop Item

McQueen, A., Kennedy, S. , McCormick, C., Aggarwal, A. and McGinty, S. (2020) Mathematical Modelling of the Effect of Drug on Smooth Muscle Cell Proliferation. Scottish Cardiovascular Forum 2020, 23rd Annual Meeting, Glasgow, UK, 1 Feb 2020.

Conference Proceedings

Aggarwal, A. and Sacks, M.S. (2014) In-vivo Assessment of Valvular Function: an Inverse Modeling Approach. In: Joint 11th World Congress on Computational Mechanics, WCCM 2014, the 5th European Conference on Computational Mechanics, ECCM 2014 and the 6th European Conference on Computational Fluid Dynamics, ECFD 2014, Barcelona, Spain, 20-25 July 2014, ISBN 9788494284472

Aggarwal, A. and Sacks, M. S. (2014) Parameter Estimation of Heart Valve Leaflet Hyperelastic Mechanical Behavior Using an Inverse Modeling Approach. In: 2014 40th Annual Northeast Bioengineering Conference (NEBEC), Boston, MA., 25-27 Apr 2014, pp. 1-2. ISBN 978-1-4799-3728-8 (doi: 10.1109/NEBEC.2014.6972704)

Aggarwal, A. , Aguilar, V.S., Lee, C.H., Ferrari, G., Gorman, J.H., Gorman, R.C. and Sacks, M.S. (2013) Spline Based Microstructural Mapping for Soft Biological Tissues: Application to Aortic Valves. In: ASME 2013 Summer Bioengineering Conference, SBC 2013, Sunriver, Oregon, 26-29 June 2013, V01AT04A006. (doi: 10.1115/SBC2013-14265)

This list was generated on Tue Nov 19 16:46:06 2024 GMT.

Grants

Principal Investigator (extramural grants)

  • Chan Zuckerberg Initiative Essential Open Source Software for Science Award 2020-2021
    Bridging the Gap In Medical Image Analysis and Biomechanics with ITK-SNAP
  • ESPRC First Grant 2017 - 2018
    Predicting cardiovascular biomechanical stiffening due to the interplay of tissue layers with focus on calcific aortic valve disease
  • National Research Network 2015 - 2018
    Modeling pre-strain and growth in biological structures
  • American Heart Association 2014 - 2015
    Development of biomechanical identifiers for high risk of bicuspid aortic valve dysfunction

Principal Investigator (small extramural grants)

  • IPEM International Centre Travel Award 2019
  • Sasakawa Butterfield Award 2019 - 2022
    Investigating role of cell motion in cancer metastasis
  • Daiwa Foundation 2017 - 2018
    Combined experimental-computational study of cell motility
  • Royal Society 2017 - 2018
    Mechanics of cellular monolayers - incorporating cellular biology into biomechanical models
  • EPSRC Impact Acceleration Award 2017 - 2018
    Connecting effectively with the clinicians by streamlining the image-to-model pipeline
  • Royal Academy of Engineering 2016
    Stratification of patients at high risk of heart valve dysfunction using inverse model - Strengthening the collaboration
  • British Council 2016
    Selected for three workshops for early career researchers sponsored by the British Council

Co-Investigator

  • EPSRC International centre to centre research collaborations 2024-2027EPSRC Centre for Future PCI (Percutaneous Coronary Intervention) Planning
  • KESS II 2017 - 2020
    Analysis of mechanisms involved in shear stress induced microparticle generation and microparticle mediated effects
  • Model2Decision ESPRC Network 2017 - 2018
    Do self-expandable artificial valves offer an advantage over balloon-expandable valves in patients with calcified aortic roots?

Supervision

PhD Students

  • Claire Rosnel
    Aortic growth and remodeling in Marfan patients
  • Jude Mohamed Osman Hussain
    An experimental and computational investigation of aortic vessels
  • Marcell Illyes
    Computational Methods for Augmenting the Echocardiographic Assessment of Low-Flow, Low-Gradient Aortic Valve Stenosis
  • Marcia McSwegan
    Modelling in vitro host-parasite infection
  • Shiting Huang
    Computational modeling of changes in right ventricular function following lung resection
  • Silvia Renon
    Improving computational models of Percutaneous Coronary Intervention

I am looking for motivated students to work with me towards their PhD in computational cardiovascular mechanics. Details are available here.

If you are interested in working with me, please feel free to email me.

  • Huang, Shiting
    Computational modelling of changes in the right ventricular function following lung resection
  • Mohamed Osman Hussain, Jude
    A Bayesian approach to hyperelastic model selection and calibration for stent durability testing
  • Renon, Silvia
    A novel hybrid DCB + DES strategy for the treatment of coronary artery disease
  • Rosnel, Claire

Bachelors/Masters/Placement Project Students

  • Matty Mills, Undergraduate Project Student 2024-25
  • Paul McCarvel, Undergraduate Project Student 2024-25
  • Muye Yao, Masters Project Student, 2024

Previous members

  • Postdoctoral Researchers:
    • Dr. Ross Williams, 2022
    • Dr. Peter Mortensen, 2021-2023
    • Dr. Heleen Fehervary, 2019
    • Dr. Pradeep Keshavanarayana, 2019
    • Dr. Yue Mei, 2017-18
  • André Fensterseifer Schmidt, PhD Student, 2019-24
  • Alistair McQueen, PhD Student, 2018-22
  • Undergraduate/masters project students:
    • Ruaridh McInnes, 2023-24
    • Lisa Chestnutt, 2023-24
    • Jenna Groundwater, 2023-24
    • Yevhenii Kovalov, 2023-24
    • Simran Yadav, 2023-24
    • Hongzhi Zhang, 2023
    • Nick Skinner, 2022-23
    • Caitlin Owens, 2022-23
    • Shiting Huang, 2021-22
    • Yining Guo, 2021-22
    • Indulekha Pallippurath, 2021-22
    • Sabari Chandra Sekhar, 2020-21
    • Zhibo Chen, 2020-21
    • Riya Dhruw, 2020-21
    • Aurélien Goupilleau, 2020-21
    • Kerong Ren, 2020-21
    • Yalin Wang, 2020-21
    • Ioannis Vrettakos, 2020-21
    • Preslav Aleksandrov, 2019-20
    • Zongchang Li, 2019-20
    • Tsz San Bernard Lai, 2019-20
    • Alexander Steele, 2019
    • Kevin Philip James, 2019
    • Bashir Balogun, 2017-18
    • Zainab Abdullah, 2017-18
    • Joseph Pereira, 2017-18
    • Ahmed Al Kindi, 2016-17
    • James Locke, 2016-17
  • Summer research interns:
    • Alejandra Paja Garcia, 2023
    • Nuffield Research Placements:
      • Emma Reilly, 2022
      • Emma Laird, 2022
      • Lisa Tran, 2021
      • Nowar AlDubaee, 2020

Teaching

ENG4122: Structural Analysis 4

ENG4202: Engineering Optimisation

ENG5274: Advanced Structural Analysis & Earthquake Engineering

Additional information

I am looking for motivated PhD students. Details are available here.

If you are interested in working with me, please feel free to email me to discuss further.


Ankush`s headshot