Experts and Thought Leaders in Mathematics
PhD.Heydy Castillejos
Research professor, Universidad Autónoma del Estado de Hidalgo
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15 total publications
Wavelet Transform Fuzzy Algorithms for Dermoscopic Image Segmentation
Computational and Mathematical Methods in Medicine / Jan 01, 2012
Castillejos, H., Ponomaryov, V., Nino-de-Rivera, L., & Golikov, V. (2012). Wavelet Transform Fuzzy Algorithms for Dermoscopic Image Segmentation. Computational and Mathematical Methods in Medicine, 2012, 1–11. https://doi.org/10.1155/2012/578721
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Dr. KEHINDE ADEWALE ADESINA, Ph.D
Assistant Professor in engineering (food, industrial and process) with quantitative and qualitative research in food processing, safefy, efficiency management, optimization and data analysis
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27 total publications
A fuzzy rough copula Bayesian network model for solving complex hospital service quality assessment
Complex & Intelligent Systems / Mar 24, 2023
Li, H., Yazdi, M., Huang, H.-Z., Huang, C.-G., Peng, W., Nedjati, A., & Adesina, K. A. (2023). A fuzzy rough copula Bayesian network model for solving complex hospital service quality assessment. Complex & Intelligent Systems, 9(5), 5527–5553. https://doi.org/10.1007/s40747-023-01002-w
Modified variable return to scale back-propagation neural network robust parameter optimization procedure for multi-quality processes
Engineering Optimization / Nov 05, 2018
Daneshvar, S., & Adesina, K. A. (2018). Modified variable return to scale back-propagation neural network robust parameter optimization procedure for multi-quality processes. Engineering Optimization, 51(8), 1352–1369. https://doi.org/10.1080/0305215x.2018.1524463
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Ping Luo
Bioinformatics Specialist at Princess Margaret Cancer Centre with experience in deep learning
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23 total publications
Enhancing the prediction of disease–gene associations with multimodal deep learning
Bioinformatics / Mar 02, 2019
Luo, P., Li, Y., Tian, L.-P., & Wu, F.-X. (2019). Enhancing the prediction of disease–gene associations with multimodal deep learning. Bioinformatics, 35(19), 3735–3742. https://doi.org/10.1093/bioinformatics/btz155
Disease Gene Prediction by Integrating PPI Networks, Clinical RNA-Seq Data and OMIM Data
IEEE/ACM Transactions on Computational Biology and Bioinformatics / Jan 01, 2019
Luo, P., Tian, L.-P., Ruan, J., & Wu, F.-X. (2019). Disease Gene Prediction by Integrating PPI Networks, Clinical RNA-Seq Data and OMIM Data. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 16(1), 222–232. https://doi.org/10.1109/tcbb.2017.2770120
Identifying cell types from single-cell data based on similarities and dissimilarities between cells
BMC Bioinformatics / May 01, 2021
Li, Y., Luo, P., Lu, Y., & Wu, F.-X. (2021). Identifying cell types from single-cell data based on similarities and dissimilarities between cells. BMC Bioinformatics, 22(S3). https://doi.org/10.1186/s12859-020-03873-z
Ensemble disease gene prediction by clinical sample-based networks
BMC Bioinformatics / Mar 01, 2020
Luo, P., Tian, L.-P., Chen, B., Xiao, Q., & Wu, F.-X. (2020). Ensemble disease gene prediction by clinical sample-based networks. BMC Bioinformatics, 21(S2). https://doi.org/10.1186/s12859-020-3346-8
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Michael Sebek
Northeastern University
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22 total publications
Synchronization of three electrochemical oscillators: From local to global coupling
Chaos: An Interdisciplinary Journal of Nonlinear Science / Apr 01, 2018
Liu, Y., Sebek, M., Mori, F., & Kiss, I. Z. (2018). Synchronization of three electrochemical oscillators: From local to global coupling. Chaos: An Interdisciplinary Journal of Nonlinear Science, 28(4). https://doi.org/10.1063/1.5012520
Revival of oscillations from deaths in diffusively coupled nonlinear systems: Theory and experiment
Chaos: An Interdisciplinary Journal of Nonlinear Science / Jun 01, 2017
Zou, W., Sebek, M., Kiss, I. Z., & Kurths, J. (2017). Revival of oscillations from deaths in diffusively coupled nonlinear systems: Theory and experiment. Chaos: An Interdisciplinary Journal of Nonlinear Science, 27(6). https://doi.org/10.1063/1.4984927
Plasticity facilitates pattern selection of networks of chemical oscillations
Chaos: An Interdisciplinary Journal of Nonlinear Science / Aug 01, 2019
Sebek, M., & Kiss, I. Z. (2019). Plasticity facilitates pattern selection of networks of chemical oscillations. Chaos: An Interdisciplinary Journal of Nonlinear Science, 29(8). https://doi.org/10.1063/1.5109784
Finding influential nodes in networks using pinning control: Centrality measures confirmed with electrochemical oscillators
Chaos: An Interdisciplinary Journal of Nonlinear Science / Sep 01, 2023
Bomela, W., Sebek, M., Nagao, R., Singhal, B., Kiss, I. Z., & Li, J.-S. (2023). Finding influential nodes in networks using pinning control: Centrality measures confirmed with electrochemical oscillators. Chaos: An Interdisciplinary Journal of Nonlinear Science, 33(9). https://doi.org/10.1063/5.0163899
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Tyler Ransom
Associate Professor of Economics at the University of Oklahoma
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15 total publications
Understanding migration aversion using elicited counterfactual choice probabilities
Journal of Econometrics / Nov 01, 2022
Koşar, G., Ransom, T., & van der Klaauw, W. (2022). Understanding migration aversion using elicited counterfactual choice probabilities. Journal of Econometrics, 231(1), 123–147. https://doi.org/10.1016/j.jeconom.2020.07.056
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Jo Boaler
Professor of Mathematics Education, Stanford University
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81 total publications
Mathematics from Another World: Traditional Communities and the Alienation of Learners
The Journal of Mathematical Behavior / Jun 01, 2000
Boaler, J. (2000). Mathematics from Another World: Traditional Communities and the Alienation of Learners. The Journal of Mathematical Behavior, 18(4), 379–397. https://doi.org/10.1016/s0732-3123(00)00026-2
The many colors of algebra: The impact of equity focused teaching upon student learning and engagement
The Journal of Mathematical Behavior / Mar 01, 2016
Boaler, J., & Sengupta-Irving, T. (2016). The many colors of algebra: The impact of equity focused teaching upon student learning and engagement. The Journal of Mathematical Behavior, 41, 179–190. https://doi.org/10.1016/j.jmathb.2015.10.007
Designing mathematics classes to promote equity and engagement
The Journal of Mathematical Behavior / Mar 01, 2016
Boaler, J. (2016). Designing mathematics classes to promote equity and engagement. The Journal of Mathematical Behavior, 41, 172–178. https://doi.org/10.1016/j.jmathb.2015.01.002
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Edoardo Airoldi
Professor of Statistics & Data Science Temple University & PI, Harvard University
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106 total publications
Stochastic blockmodels with a growing number of classes
Biometrika / Apr 17, 2012
Choi, D. S., Wolfe, P. J., & Airoldi, E. M. (2012). Stochastic blockmodels with a growing number of classes. Biometrika, 99(2), 273–284. https://doi.org/10.1093/biomet/asr053
Quantitative visualization of alternative exon expression from RNA-seq data
Bioinformatics / Jan 22, 2015
Katz, Y., Wang, E. T., Silterra, J., Schwartz, S., Wong, B., Thorvaldsdóttir, H., Robinson, J. T., Mesirov, J. P., Airoldi, E. M., & Burge, C. B. (2015). Quantitative visualization of alternative exon expression from RNA-seq data. Bioinformatics, 31(14), 2400–2402. https://doi.org/10.1093/bioinformatics/btv034
Model-assisted design of experiments in the presence of network-correlated outcomes
Biometrika / Aug 06, 2018
Basse, G. W., & Airoldi, E. M. (2018). Model-assisted design of experiments in the presence of network-correlated outcomes. Biometrika, 105(4), 849–858. https://doi.org/10.1093/biomet/asy036
Testing for arbitrary interference on experimentation platforms
Biometrika / Sep 30, 2019
Pouget-Abadie, J., Saint-Jacques, G., Saveski, M., Duan, W., Ghosh, S., Xu, Y., & Airoldi, E. M. (2019). Testing for arbitrary interference on experimentation platforms. Biometrika, 106(4), 929–940. https://doi.org/10.1093/biomet/asz047
Who wrote Ronald Reagan's radio addresses?
Bayesian Analysis / Jun 01, 2006
Airoldi, E. M., Anderson, A. G., Fienberg, S. E., & Skinner, K. K. (2006). Who wrote Ronald Reagan’s radio addresses? Bayesian Analysis, 1(2). https://doi.org/10.1214/06-ba110
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
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Ryan Howell
Professor of Psychology, Department of Psychology, San Francisco State University
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66 total publications
The File Drawer Problem in Reliability Generalization
Educational and Psychological Measurement / Jun 06, 2007
Howell, R. T., & Shields, A. L. (2007). The File Drawer Problem in Reliability Generalization. Educational and Psychological Measurement, 68(1), 120–128. https://doi.org/10.1177/0013164407301528
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Jeffrey Townsend
Professor of Biostatistics and Ecology & Evolutionary Biology
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207 total publications
Identifying modules of cooperating cancer drivers
Molecular Systems Biology / Mar 01, 2021
Klein, M. I., Cannataro, V. L., Townsend, J. P., Newman, S., Stern, D. F., & Zhao, H. (2021). Identifying modules of cooperating cancer drivers. Molecular Systems Biology, 17(3). Portico. https://doi.org/10.15252/msb.20209810
PathScore: a web tool for identifying altered pathways in cancer data
Bioinformatics / Aug 08, 2016
Gaffney, S. G., & Townsend, J. P. (2016). PathScore: a web tool for identifying altered pathways in cancer data. Bioinformatics, 32(23), 3688–3690. https://doi.org/10.1093/bioinformatics/btw512
H-CLAP: hierarchical clustering within a linear array with an application in genetics
Statistical Applications in Genetics and Molecular Biology / Jan 01, 2015
Ghosh, S., & Townsend, J. P. (2015). H-CLAP: hierarchical clustering within a linear array with an application in genetics. Statistical Applications in Genetics and Molecular Biology, 14(2). https://doi.org/10.1515/sagmb-2013-0076
AuthorReward: increasing community curation in biological knowledge wikis through automated authorship quantification
Bioinformatics / Jun 03, 2013
Dai, L., Tian, M., Wu, J., Xiao, J., Wang, X., Townsend, J. P., & Zhang, Z. (2013). AuthorReward: increasing community curation in biological knowledge wikis through automated authorship quantification. Bioinformatics, 29(14), 1837–1839. https://doi.org/10.1093/bioinformatics/btt284
Codon Deviation Coefficient: a novel measure for estimating codon usage bias and its statistical significance
BMC Bioinformatics / Mar 22, 2012
Zhang, Z., Li, J., Cui, P., Ding, F., Li, A., Townsend, J. P., & Yu, J. (2012). Codon Deviation Coefficient: a novel measure for estimating codon usage bias and its statistical significance. BMC Bioinformatics, 13(1). https://doi.org/10.1186/1471-2105-13-43
LOX: inferring Level Of eXpression from diverse methods of census sequencing
Bioinformatics / Jun 10, 2010
Zhang, Z., López-Giráldez, F., & Townsend, J. P. (2010). LOX: inferring Level Of eXpression from diverse methods of census sequencing. Bioinformatics, 26(15), 1918–1919. https://doi.org/10.1093/bioinformatics/btq303
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Tim Osswald
Polymers Professor - University of Wisconsin
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117 total publications
Boundary integral equations for analyzing the flow of a chopped fiber reinforced polymer compound in compression molding
Journal of Non-Newtonian Fluid Mechanics / Jan 01, 1987
Barone, M. R., & Osswald, T. A. (1987). Boundary integral equations for analyzing the flow of a chopped fiber reinforced polymer compound in compression molding. Journal of Non-Newtonian Fluid Mechanics, 26(2), 185–206. https://doi.org/10.1016/0377-0257(87)80004-6
Analysis of fiber damage mechanisms during processing of reinforced polymer melts
Engineering Analysis with Boundary Elements / Jul 01, 2002
Hernandez, J. P., Raush, T., Rios, A., Strauss, S., & Osswald, T. A. (2002). Analysis of fiber damage mechanisms during processing of reinforced polymer melts. Engineering Analysis with Boundary Elements, 26(7), 621–628. https://doi.org/10.1016/s0955-7997(02)00018-8
Novel modeling approach for fiber breakage during molding of long fiber-reinforced thermoplastics
Physics of Fluids / Jul 01, 2021
Bechara, A., Goris, S., Yanev, A., Brands, D., & Osswald, T. (2021). Novel modeling approach for fiber breakage during molding of long fiber-reinforced thermoplastics. Physics of Fluids, 33(7), 073318. https://doi.org/10.1063/5.0058693
Data enriched lubrication force modeling for a mechanistic fiber simulation of short fiber-reinforced thermoplastics
Physics of Fluids / May 01, 2021
Kugler, S. K., Bechara, A., Perez, H., Cruz, C., Kech, A., & Osswald, T. A. (2021). Data enriched lubrication force modeling for a mechanistic fiber simulation of short fiber-reinforced thermoplastics. Physics of Fluids, 33(5), 053107. https://doi.org/10.1063/5.0049641
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David Blanchett
Current Director - PGIM (Formerly Prudential Investment Management); Adjunct Professor of Finance
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83 total publications
Optimal Initiation of Guaranteed Lifelong Withdrawal Benefit with Dynamic Withdrawals
SIAM Journal on Financial Mathematics / Jan 01, 2017
Huang, Y. T., Zeng, P., & Kwok, Y. K. (2017). Optimal Initiation of Guaranteed Lifelong Withdrawal Benefit with Dynamic Withdrawals. SIAM Journal on Financial Mathematics, 8(1), 804–840. https://doi.org/10.1137/16m1089575
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Laura Jackson Young
Associate Professor of Economics, Bentley University
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21 total publications
Nonlinearities, smoothing and countercyclical monetary policy
Journal of Economic Dynamics and Control / Oct 01, 2018
Jackson, L. E., Owyang, M. T., & Soques, D. (2018). Nonlinearities, smoothing and countercyclical monetary policy. Journal of Economic Dynamics and Control, 95, 136–154. https://doi.org/10.1016/j.jedc.2018.08.007
International Stock Comovements with Endogenous Clusters
Journal of Economic Dynamics and Control / Jul 01, 2020
Coroneo, L., Jackson, L. E., & Owyang, M. T. (2020). International Stock Comovements with Endogenous Clusters. Journal of Economic Dynamics and Control, 116, 103904. https://doi.org/10.1016/j.jedc.2020.103904
Debt and stabilization policy: Evidence from a Euro Area FAVAR
Journal of Economic Dynamics and Control / Aug 01, 2018
Jackson, L. E., Owyang, M. T., & Zubairy, S. (2018). Debt and stabilization policy: Evidence from a Euro Area FAVAR. Journal of Economic Dynamics and Control, 93, 67–91. https://doi.org/10.1016/j.jedc.2018.02.001
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Athul Prasad
5G / 6G Technology and Ventures at Samsung; D.Sc. (Tech), MBA
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75 total publications
A CO-ORDINATED INTERFERENCE CANCELLATION METHOD FOR MIMO FOR SELF-INTERFERENCE MITIGATION
Journal of Pharmaceutical Negative Results / Jan 01, 2022
A CO-ORDINATED INTERFERENCE CANCELLATION METHOD FOR MIMO FOR SELF-INTERFERENCE MITIGATION. (2022). Journal of Pharmaceutical Negative Results, 13(S01). https://doi.org/10.47750/pnr.2022.13.s01.64
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Hector Klie
CEO @ DeepCast.ai | AI-driven Industrial Solutions, Technical Innovation
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81 total publications
On optimization algorithms for the reservoir oil well placement problem
Computational Geosciences / Aug 17, 2006
Bangerth, W., Klie, H., Wheeler, M. F., Stoffa, P. L., & Sen, M. K. (2006). On optimization algorithms for the reservoir oil well placement problem. Computational Geosciences, 10(3), 303–319. https://doi.org/10.1007/s10596-006-9025-7
Stochastic collocation and mixed finite elements for flow in porous media
Computer Methods in Applied Mechanics and Engineering / Aug 01, 2008
Ganis, B., Klie, H., Wheeler, M. F., Wildey, T., Yotov, I., & Zhang, D. (2008). Stochastic collocation and mixed finite elements for flow in porous media. Computer Methods in Applied Mechanics and Engineering, 197(43–44), 3547–3559. https://doi.org/10.1016/j.cma.2008.03.025
Numerical Comparisons of Path-Following Strategies for a Primal-Dual Interior-Point Method for Nonlinear Programming
Journal of Optimization Theory and Applications / Aug 01, 2002
Argáez, M., Tapia, R., & Velázquez, L. (2002). Numerical Comparisons of Path-Following Strategies for a Primal-Dual Interior-Point Method for Nonlinear Programming. Journal of Optimization Theory and Applications, 114(2), 255–272. https://doi.org/10.1023/a:1016047200413
Reduced-order modeling for thermal recovery processes
Computational Geosciences / Sep 01, 2013
Rousset, M. A. H., Huang, C. K., Klie, H., & Durlofsky, L. J. (2013). Reduced-order modeling for thermal recovery processes. Computational Geosciences, 18(3–4), 401–415. https://doi.org/10.1007/s10596-013-9369-8
A Parallel Stochastic Framework for Reservoir Characterization and History Matching
Journal of Applied Mathematics / Jan 01, 2011
Thomas, S. G., Klie, H. M., Rodriguez, A. A., & Wheeler, M. F. (2011). A Parallel Stochastic Framework for Reservoir Characterization and History Matching. Journal of Applied Mathematics, 2011, 1–19. https://doi.org/10.1155/2011/535484
A family of physics-based preconditioners for solving elliptic equations on highly heterogeneous media
Applied Numerical Mathematics / Jun 01, 2009
Aksoylu, B., & Klie, H. (2009). A family of physics-based preconditioners for solving elliptic equations on highly heterogeneous media. Applied Numerical Mathematics, 59(6), 1159–1186. https://doi.org/10.1016/j.apnum.2008.06.002
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Anit Kumar Sahu
PhD from CMU working in ML/AI
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62 total publications
Federated Learning: Challenges, Methods, and Future Directions
IEEE Signal Processing Magazine / May 01, 2020
Li, T., Sahu, A. K., Talwalkar, A., & Smith, V. (2020). Federated Learning: Challenges, Methods, and Future Directions. IEEE Signal Processing Magazine, 37(3), 50–60. https://doi.org/10.1109/msp.2020.2975749
Nonlinear Gradient Mappings and Stochastic Optimization: A General Framework with Applications to Heavy-Tail Noise
SIAM Journal on Optimization / May 16, 2023
Jakovetić, D., Bajović, D., Sahu, A. K., Kar, S., Milos̆ević, N., & Stamenković, D. (2023). Nonlinear Gradient Mappings and Stochastic Optimization: A General Framework with Applications to Heavy-Tail Noise. SIAM Journal on Optimization, 33(2), 394–423. https://doi.org/10.1137/21m145896x
Distributed Recursive Estimation under Heavy-Tail Communication Noise
SIAM Journal on Control and Optimization / Jun 20, 2023
Jakovetic, D., Vukovic, M., Bajovic, D., Sahu, A. K., & Kar, S. (2023). Distributed Recursive Estimation under Heavy-Tail Communication Noise. SIAM Journal on Control and Optimization, 61(3), 1582–1609. https://doi.org/10.1137/22m1477015
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Subdisciplines
- applied mathematics (86 public profiles)
- computational mathematics (46 public profiles)
- mathematics (28 public profiles)
- mathematical physics (25 public profiles)
- computational mechanics (18 public profiles)
- discrete mathematics and combinatorics (6 public profiles)
- mathematics education (4 public profiles)
- math (2 public profiles)
- computational thinking (1 public profile)
Subdisciplines
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applied mathematics
(86 public profiles) -
computational mathematics
(46 public profiles) -
mathematics
(28 public profiles) -
mathematical physics
(25 public profiles) -
computational mechanics
(18 public profiles) -
discrete mathematics and combinatorics
(6 public profiles) -
mathematics education
(4 public profiles) -
math
(2 public profiles) -
computational thinking
(1 public profile)