O. Drosinou, C. Nikolopoulos, A. Matzavinos, and N. Kavallaris, A stochastic parabolic model of MEMS driven by fractional Brownian motion. Journal of Mathematical Biology, 86: 73, 2023. (Part of a special collection in honor of Avner Friedman.)

A. Patel, M. Simkulet, S. Maity, M. Venkatesan, A. Matzavinos, M. Madesh, and B.R. Alevriadou, The mitochondrial Ca²⁺ uniporter channel synergizes with fluid shear stress to induce mitochondrial Ca²⁺ oscillations. Scientific Reports, vol. 12, 21161, 2022.

K. Larson, S. Olson, and A. Matzavinos, A Bayesian framework to estimate fluid and material parameters in micro-swimmer models. Bulletin of Mathematical Biology, vol. 83, paper no. 23, 2021.

K. Larson, G. Arampatzis, C. Bowman, Z. Chen, P. Hadjidoukas, C. Papadimitriou, P. Koumoutsakos, and A. Matzavinos, Data-driven prediction and origin identification of epidemics in population networks. Royal Society Open Science, 8: 200531, 2021.

K. Larson, C. Bowman, C. Papadimitriou, P. Koumoutsakos, and A. Matzavinos, Detection of arterial wall abnormalities via Bayesian model selection. Royal Society Open Science, 6: 182229, 2019.

K. Larson, L. Zagkos, M. McAuley, J. Roberts, N. Kavallaris, and A. Matzavinos, Data-driven selection and parameter estimation for DNA methylation mathematical models. Journal of Theoretical Biology, 467: 87-99, 2019.

C. Bowman, M. Chaplain, and A. Matzavinos, Dissipative particle dynamics simulation of critical pore size in a lipid bilayer membrane. Royal Society Open Science, 6: 181657, 2019.

O. Angel, A. Matzavinos, and A. Roitershtein, Limit theorem for the Robin Hood game. Statistics & Probability Letters, 149: 9-15, 2019.

C. Bowman, K. Larson, A. Roitershtein, D. Stein, and A. Matzavinos, Bayesian uncertainty quantification for particle-based simulation of lipid bilayer membranes. In Cell Movement: Modeling and Applications, eds. M. Stolarska and N. Tarfulea. Springer, 2018.

T. Chumley, O. Aydogmus, A. Matzavinos, and A. Roitershtein, Moran-type bounds for the fixation probability in a frequency-dependent Wright-Fisher model. Journal of Mathematical Biology, 76 (1): 1-35, 2018.

D. Kim, C. Bowman, T. Del Bonis-O’Donnell, A. Matzavinos, and D. Stein, Giant acceleration of DNA diffusion in an array of entropic barriers. Physical Review Letters, 118 (4): 048002, 2017.

A. Matzavinos, A. Roitershtein, and Y. Seol, Random walks in a sparse random environment. Electronic Journal of Probability, vol. 21, paper no. 72, 20 pp., 2016.

M. Zayernouri and A. Matzavinos, Fractional Adams-Bashforth/Moulton methods: An application to the fractional Keller-Segel chemotaxis system. Journal of Computational Physics, 317: 1-14, 2016.

A. Matzavinos and M. Ptashnyk, Stochastic homogenization of the Keller-Segel chemotaxis system. Nonlinear Analysis, 144: 58-76, 2016.

A. Matzavinos and M. Ptashnyk, Homogenization of oxygen transport in biological tissues. Applicable Analysis, 95 (5): 1013-1049, 2016.

M. Sturrock, P.J. Murray, A. Matzavinos, and M. Chaplain, Mean field analysis of a spatial stochastic model of a gene regulatory network. Journal of Mathematical Biology, 71 (4): 921- 959, 2015.

A. Matzavinos, B. Shtylla, Z. Voller, S. Liu, and M. Chaplain, Stochastic modeling of chromosomal segregation: Errors can introduce correction. Bulletin of Mathematical Biology, 76 (7): 1590-1606, 2014.

M. Sturrock, A. Hellander, A. Matzavinos, and M. Chaplain, Spatial stochastic modelling of the Hes1 gene regulatory network: Intrinsic noise can explain heterogeneity in embryonic stem cell differentiation. Journal of the Royal Society Interface, vol. 10 no. 80, 2013.

S. Liu, A. Matzavinos, and S. Sethuraman, Random walk distances in data clustering and applications. Advances in Data Analysis and Classification, 7(1): 83-108, 2013.

R.J. Giedt, D.R. Pfeiffer, A. Matzavinos, C.-Y. Kao, and B.R. Alevriadou, Mitochondrial dynamics and motility inside living vascular endothelial cells: Role of bioenergetics. Annals of Biomedical Engineering, 40(9): 1903-1916, 2012.

K.N. Schafer, S. Kim, A. Matzavinos, and J. Kuret, Selectivity requirements for diagnostic imaging of neurofibrillary lesions in Alzheimer’s disease: A simulation study. NeuroImage, 60 (3): 1724-1733, 2012.

R.J. Giedt, C. Yang, J.L. Zweier, A. Matzavinos, and B.R. Alevriadou, Mitochondrial fission in endothelial cells after simulated ischemia/ reperfusion: Role of nitric oxide and reactive oxygen species. Free Radical Biology and Medicine, 52 (2): 348-356, 2012.

I. Ben-Ari, A. Matzavinos, and A. Roitershtein, On a species survival model. Electronic Communications in Probability, 16: 226-233, 2011

I. Ben-Ari, K. Boushaba, A. Matzavinos, and A. Roitershtein, Stochastic analysis of the motion of DNA nanomechanical bipeds. Bulletin of Mathematical Biology, 73 (8): 1932-1951, 2011

O. Cominetti, A. Matzavinos, S. Samarasinghe, D. Kulasiri, S. Liu, P.K. Maini, and R. Erban, DifFUZZY: A fuzzy spectral clustering algorithm for complex data sets. Int. J. Comput. Intelligence in Bioinformatics and Systems Biology. 1 (4): 402-417, 2010.

K. Preedy, P.G. Schofield, S. Liu, A. Matzavinos, M. Chaplain, S.F. Hubbard, Modelling contact spread of infection in host-parasitoid systems: vertical transmission of pathogens can cause chaos. Journal of Theoretical Biology. 262 (3): 441-451, 2010

B. Joshi, X. Wang, S. Banerjee, H. Tian, A. Matzavinos, and M. Chaplain, On immunotherapies and cancer vaccination protocols: A mathematical modelling approach. Journal of Theoretical Biology, 259 (4): 820-827, 2009.

A. Matzavinos, C.-Y. Kao, J.E.F. Green, A. Sutradhar, M. Miller, and A. Friedman, Modelling oxygen transport in surgical tissue transfer. PNAS, 106 (29): 12091-12096, 2009.

E.E. Congdon, S. Kim, J. Bonchak, T. Songrug, A. Matzavinos and J. Kuret, Nucleation dependent tau filament formation: The importance of dimerization and an estimation of elementary rate constants. Journal of Biological Chemistry, 283 (20): 13806-13816, 2008.

A. Matzavinos, Dynamic irregular patterns and invasive wavefronts: The control of tumour growth by cytotoxic T-lymphocytes. Selected Topics in Cancer Modeling. Birkhäuser, 2008.

A. Matzavinos and H.G. Othmer, A stochastic analysis of actin polymerization in the presence of twinfilin and gelsolin. Journal of Theoretical Biology, 249 (4): 723-736, 2007

J. Hu, A. Matzavinos, and H.G. Othmer, A theoretical approach to actin filament dynamics. Journal of Statistical Physics, 128 (1): 111-138, 2007.

M. Chaplain and A. Matzavinos, Mathematical modelling of spatio-temporal phenomena in tumour immunology. Lecture Notes in Mathematics, vol. 1872, pp. 131-183. Springer, 2006.

A. Matzavinos and M.A.J. Chaplain, Travelling-wave analysis of a model of the immune response to cancer. Comptes Rendus Biologies, 327: 995-1008, 2004.

A. Matzavinos, M.A.J. Chaplain and V.A. Kuznetsov, Mathematical modelling of the spatiotemporal response of cytotoxic T-lymphocytes to a solid tumour. Mathematical Medicine and Biology: A Journal of the IMA, 21: 1-34, 2004.