Work with academic experts in modeling and simulation
A scholar or researcher with expertise in modeling and simulation can help business and industrial clients solve their modeling and simulation problems and conduct modeling and simulation research to get ahead on R&D. Experts on NotedSource with backgrounds in modeling and simulation include Konstantinos Tsavdaridis, John Santapietro, Jeffrey Townsend, Edoardo Airoldi, Dr. Andrea Corti, Ph.D., Tim Leung, John Joe, and Anna Koster.
Konstantinos Tsavdaridis
Full Professor of Structural Engineering, Chartered Civil and Structural Engineer
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Other Research Interests (39)
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Most Relevant Publications (1+)
110 total publications
Application of structural topology optimisation to perforated steel beams
Computers & Structures / Oct 01, 2015
Tsavdaridis, K. D., Kingman, J. J., & Toropov, V. V. (2015). Application of structural topology optimisation to perforated steel beams. Computers & Structures, 158, 108–123. https://doi.org/10.1016/j.compstruc.2015.05.004
Jeffrey Townsend
Professor of Biostatistics and Ecology & Evolutionary Biology
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Other Research Interests (78)
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Most Relevant Publications (3+)
207 total publications
Secondary Metabolism Gene Clusters Exhibit Increasingly Dynamic and Differential Expression during Asexual Growth, Conidiation, and Sexual Development in Neurospora crassa
mSystems / Jun 28, 2022
Wang, Z., Lopez-Giraldez, F., Slot, J., Yarden, O., Trail, F., & Townsend, J. P. (2022). Secondary Metabolism Gene Clusters Exhibit Increasingly Dynamic and Differential Expression during Asexual Growth, Conidiation, and Sexual Development in Neurospora crassa. MSystems, 7(3). https://doi.org/10.1128/msystems.00232-22
Mechanistic basis of post-treatment control of SIV after anti-α4β7 antibody therapy
PLOS Computational Biology / Jun 09, 2021
Wells, C. R., Cao, Y., Durham, D. P., Byrareddy, S. N., Ansari, A. A., Ruddle, N. H., Townsend, J. P., Galvani, A. P., & Perelson, A. S. (2021). Mechanistic basis of post-treatment control of SIV after anti-α4β7 antibody therapy. PLOS Computational Biology, 17(6), e1009031. https://doi.org/10.1371/journal.pcbi.1009031
Maximum-Likelihood Model Averaging To Profile Clustering of Site Types across Discrete Linear Sequences
PLoS Computational Biology / Jun 26, 2009
Zhang, Z., & Townsend, J. P. (2009). Maximum-Likelihood Model Averaging To Profile Clustering of Site Types across Discrete Linear Sequences. PLoS Computational Biology, 5(6), e1000421. https://doi.org/10.1371/journal.pcbi.1000421
Edoardo Airoldi
Professor of Statistics & Data Science Temple University & PI, Harvard University
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Other Research Interests (62)
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Most Relevant Publications (7+)
106 total publications
Post-transcriptional regulation across human tissues
PLOS Computational Biology / May 08, 2017
Franks, A., Airoldi, E., & Slavov, N. (2017). Post-transcriptional regulation across human tissues. PLOS Computational Biology, 13(5), e1005535. https://doi.org/10.1371/journal.pcbi.1005535
Mapping Dynamic Histone Acetylation Patterns to Gene Expression in Nanog-Depleted Murine Embryonic Stem Cells
PLoS Computational Biology / Dec 16, 2010
Markowetz, F., Mulder, K. W., Airoldi, E. M., Lemischka, I. R., & Troyanskaya, O. G. (2010). Mapping Dynamic Histone Acetylation Patterns to Gene Expression in Nanog-Depleted Murine Embryonic Stem Cells. PLoS Computational Biology, 6(12), e1001034. https://doi.org/10.1371/journal.pcbi.1001034
Multi-way blockmodels for analyzing coordinated high-dimensional responses
The Annals of Applied Statistics / Dec 01, 2013
Airoldi, E. M., Wang, X., & Lin, X. (2013). Multi-way blockmodels for analyzing coordinated high-dimensional responses. The Annals of Applied Statistics, 7(4). https://doi.org/10.1214/13-aoas643
Ranking relations using analogies in biological and information networks
The Annals of Applied Statistics / Jun 01, 2010
Silva, R., Heller, K., Ghahramani, Z., & Airoldi, E. M. (2010). Ranking relations using analogies in biological and information networks. The Annals of Applied Statistics, 4(2). https://doi.org/10.1214/09-aoas321
Predicting Cellular Growth from Gene Expression Signatures
PLoS Computational Biology / Jan 02, 2009
Airoldi, E. M., Huttenhower, C., Gresham, D., Lu, C., Caudy, A. A., Dunham, M. J., Broach, J. R., Botstein, D., & Troyanskaya, O. G. (2009). Predicting Cellular Growth from Gene Expression Signatures. PLoS Computational Biology, 5(1), e1000257. https://doi.org/10.1371/journal.pcbi.1000257
Getting Started in Probabilistic Graphical Models
PLoS Computational Biology / Dec 07, 2007
Airoldi, E. M. (2007). Getting Started in Probabilistic Graphical Models. PLoS Computational Biology, 3(12), e252. https://doi.org/10.1371/journal.pcbi.0030252
A Network Analysis Model for Disambiguation of Names in Lists
Computational and Mathematical Organization Theory / Jul 01, 2005
Malin, B., Airoldi, E., & Carley, K. M. (2005). A Network Analysis Model for Disambiguation of Names in Lists. Computational and Mathematical Organization Theory, 11(2), 119–139. https://doi.org/10.1007/s10588-005-3940-3
Dr. Andrea Corti, Ph.D.
Ph.D. in Biomedical Engineering with a focus on cardiovascular biomechanics using numerical simulations, material analysis and micro-computed tomography imaging
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Other Research Interests (19)
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Most Relevant Publications (1+)
6 total publications
Stenting-induced Vasa Vasorum compression and subsequent flow resistance: a finite element study
Biomechanics and Modeling in Mechanobiology / Aug 04, 2020
Corti, A., De Paolis, A., Tarbell, J., & Cardoso, L. (2020). Stenting-induced Vasa Vasorum compression and subsequent flow resistance: a finite element study. Biomechanics and Modeling in Mechanobiology, 20(1), 121–133. https://doi.org/10.1007/s10237-020-01372-x
Tim Leung
Professor of Applied Mathematics, Computational Finance & Risk Management (CFRM) Program
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Other Research Interests (34)
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Most Relevant Publications (5+)
138 total publications
Financial time series analysis and forecasting with Hilbert–Huang transform feature generation and machine learning
Applied Stochastic Models in Business and Industry / May 03, 2021
Leung, T., & Zhao, T. (2021). Financial time series analysis and forecasting with Hilbert–Huang transform feature generation and machine learning. Applied Stochastic Models in Business and Industry, 37(6), 993–1016. Portico. https://doi.org/10.1002/asmb.2625
Pricing derivatives with counterparty risk and collateralization: A fixed point approach
European Journal of Operational Research / Mar 01, 2016
Kim, J., & Leung, T. (2016). Pricing derivatives with counterparty risk and collateralization: A fixed point approach. European Journal of Operational Research, 249(2), 525–539. https://doi.org/10.1016/j.ejor.2015.06.055
Optimal Multiple Trading Times Under the Exponential OU Model with Transaction Costs
Stochastic Models / Jul 16, 2015
Leung, T., Li, X., & Wang, Z. (2015). Optimal Multiple Trading Times Under the Exponential OU Model with Transaction Costs. Stochastic Models, 31(4), 554–587. https://doi.org/10.1080/15326349.2015.1058717
Default swap games driven by spectrally negative Lévy processes
Stochastic Processes and their Applications / Feb 01, 2013
Egami, M., Leung, T., & Yamazaki, K. (2013). Default swap games driven by spectrally negative Lévy processes. Stochastic Processes and Their Applications, 123(2), 347–384. https://doi.org/10.1016/j.spa.2012.09.008
Forward indifference valuation of American options
Stochastics / Jun 19, 2012
Leung, T., Sircar, R., & Zariphopoulou, T. (2012). Forward indifference valuation of American options. Stochastics, 84(5–6), 741–770. https://doi.org/10.1080/17442508.2012.694438
John Joe
Faculty of Health and Medical Sciences, University of Surrey, Guildford, UK
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Other Research Interests (73)
Most Relevant Publications (5+)
95 total publications
A quantum mechanical model of adaptive mutation
Biosystems / Jun 01, 1999
McFadden, J., & Al-Khalili, J. (1999). A quantum mechanical model of adaptive mutation. Biosystems, 50(3), 203–211. https://doi.org/10.1016/s0303-2647(99)00004-0
Escape From Evolutionary Stasis by Transposon-mediated Deleterious Mutations
Journal of Theoretical Biology / Jun 01, 1997
McFadden, J., & Knowles, G. (1997). Escape From Evolutionary Stasis by Transposon-mediated Deleterious Mutations. Journal of Theoretical Biology, 186(4), 441–447. https://doi.org/10.1006/jtbi.1997.0403
Differential Producibility Analysis (DPA) of Transcriptomic Data with Metabolic Networks: Deconstructing the Metabolic Response of M. tuberculosis
PLoS Computational Biology / Jun 30, 2011
Bonde, B. K., Beste, D. J. V., Laing, E., Kierzek, A. M., & McFadden, J. (2011). Differential Producibility Analysis (DPA) of Transcriptomic Data with Metabolic Networks: Deconstructing the Metabolic Response of M. tuberculosis. PLoS Computational Biology, 7(6), e1002060. https://doi.org/10.1371/journal.pcbi.1002060
MUFINS: multi-formalism interaction network simulator
npj Systems Biology and Applications / Nov 17, 2016
Wu, H., von Kamp, A., Leoncikas, V., Mori, W., Sahin, N., Gevorgyan, A., Linley, C., Grabowski, M., Mannan, A. A., Stoy, N., Stewart, G. R., Ward, L. T., Lewis, D. J. M., Sroka, J., Matsuno, H., Klamt, S., Westerhoff, H. V., McFadden, J., Plant, N. J., & Kierzek, A. M. (2016). MUFINS: multi-formalism interaction network simulator. Npj Systems Biology and Applications, 2(1). https://doi.org/10.1038/npjsba.2016.32
Modeling the binding of peptides on carbon nanotubes and their use as protein and DNA carriers
Journal of Nanoparticle Research / Jan 22, 2012
Sanz, V., Coley, H. M., Silva, S. R. P., & McFadden, J. (2012). Modeling the binding of peptides on carbon nanotubes and their use as protein and DNA carriers. Journal of Nanoparticle Research, 14(2). https://doi.org/10.1007/s11051-011-0695-2
Anna Koster
Most Relevant Research Interests
Other Research Interests (11)
Most Relevant Publications (1+)
4 total publications
Dynamical model of the CLC-2 ion channel reveals conformational changes associated with selectivity-filter gating
PLOS Computational Biology / Mar 30, 2020
McKiernan, K. A., Koster, A. K., Maduke, M., & Pande, V. S. (2020). Dynamical model of the CLC-2 ion channel reveals conformational changes associated with selectivity-filter gating. PLOS Computational Biology, 16(3), e1007530. https://doi.org/10.1371/journal.pcbi.1007530