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Work with thought leaders and academic experts in applied mathematics

Companies can benefit from working with someone whose expertise is in the field of Applied Mathematics in several ways. Applied Mathematics researchers can help companies solve complex problems by applying mathematical models and algorithms. They can also assist in data analysis and provide insights for making data-driven decisions. Additionally, they can develop optimization algorithms to improve efficiency and reduce costs. Applied Mathematics experts can also contribute to the development of predictive models for forecasting market trends and optimizing business strategies. Overall, collaborating with an Applied Mathematics researcher can provide companies with a competitive edge and help them leverage the power of data.

Researchers on NotedSource with backgrounds in applied mathematics include Michael Sebek, PhD.Heydy Castillejos, Ping Luo, Tyler Ransom, Edoardo Airoldi, Jeffrey Townsend, Ryan Howell, Tim Osswald, Jo Boaler, Dmitry Batenkov, Ph.D., Osaye Fadekemi, PhD, Prof. Anantha Padmanabhan Kuppuswamy, PhD, ScD (Cambridge), Dr. KEHINDE ADEWALE ADESINA, Ph.D, and Denys Dutykh.

Michael Sebek

Boston, Massachusetts, United States of America
Northeastern University
Most Relevant Research Interests
Applied Mathematics
Other Research Interests (6)
network science
food science
electrochemistry
nonlinear dynamics
Mathematical Physics
And 1 more
About
Michael Sebek is a highly educated and experienced chemist with a passion for research and teaching. He received his Bachelor of Science in Chemistry from Truman State University in 2012, where he conducted undergraduate research in the field of analytical chemistry. He then went on to earn his Masters and Ph.D. in Chemistry from Saint Louis University by 2017, where his research focused on the interplay between network science and electrochemistry. After completing his Ph.D., Michael continued his research as a Post-Doctoral Researcher at Northeastern University, where he works in food science, network medicine, and AI/ML. His work has been published in several peer-reviewed journals and has been presented at national and international conferences.
Most Relevant Publications (4+)

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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PhD.Heydy Castillejos

Weston, Florida, United States of America
Research professor, Universidad Autónoma del Estado de Hidalgo
Most Relevant Research Interests
Applied Mathematics
Other Research Interests (10)
Image and signal processing
boimedical signals
segmentation
classification
CAD
And 5 more
About
Results-oriented professional with over 15 years of experience in research and teaching. Skilled in Python, MATLAB programming, image processing, and telecommunications. Demonstrated ability to work under pressure, manage time effectively, and solve complex problems. Successfully advised doctoral candidates on data analysis methods, authored multiple peer-reviewed journal articles, and secured funding for future research initiatives. Developed innovative curricula for advanced mathematics courses and utilized technology to enhance learning experiences. A fast learner with excellent written and verbal communication skills.
Most Relevant Publications (1+)

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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Ping Luo

Toronto, Ontario, Canada
Bioinformatics Specialist at Princess Margaret Cancer Centre with experience in deep learning
Most Relevant Research Interests
Applied Mathematics
Other Research Interests (21)
single-cell genomics
deep learning
complex network analysis
Genetics (clinical)
Genetics
And 16 more
About
8 years of science and engineering experience integrating multi-omics data to identify biomarkers for cancer studies. Seeking to apply data analytics expertise to develop new diagnosis and treatment strategies.
Most Relevant Publications (3+)

23 total publications

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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Tyler Ransom

Norman, Oklahoma, United States of America
Associate Professor of Economics at the University of Oklahoma
Most Relevant Research Interests
Applied Mathematics
Other Research Interests (14)
Economics
Labor Economics
Economics of Education
Urban Economics
Applied Microeconomics
And 9 more
About
Tyler Ransom is an associate professor of economics at the University of Oklahoma. He received his Ph.D. in economics from Duke University in 2015. His research interests include labor economics, economics of education, urban economics, and machine learning applications. He has published papers in leading journals such as the Journal of Labor Economics, the Journal of Human Resources, and the Journal of Econometrics. He is also an associate editor of the Annals of Economics and Statistics and a research affiliate of IZA and GLO. He has taught courses on econometrics, data science, and economics of education at both undergraduate and graduate levels. He has received several awards and fellowships for his research and teaching, such as the OU Dodge Family College of Arts & Sciences Irene Rothbaum Outstanding Assistant Professor Award in 2022. He is proficient in various coding languages such as Matlab, Stata, R, Julia, Bash, Git, and LaTeX. He also has advanced language skills in Japanese.
Most Relevant Publications (1+)

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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Edoardo Airoldi

Professor of Statistics & Data Science Temple University & PI, Harvard University
Most Relevant Research Interests
Applied Mathematics
Other Research Interests (43)
Statistics
Causal Inference
Network Science
Cell Biology
Molecular Biology
And 38 more
About
Edoardo Airoldi is a Professor in the Department of Machine Learning at Temple University. He is also the Director of the Center for Machine Learning and Health. He is a world-renowned expert in the fields of machine learning and artificial intelligence, with a focus on applications to health. Airoldi is a member of the prestigious Association for the Advancement of Artificial Intelligence (AAAI) and the International Machine Learning Society (IMLS). He has published over 200 papers in leading journals and conferences, and his work has been covered by various media outlets including The New York Times, The Wall Street Journal, The Economist, and Wired.
Most Relevant Publications (5+)

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

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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Jeffrey Townsend

New Haven, CT
Professor of Biostatistics and Ecology & Evolutionary Biology
Most Relevant Research Interests
Applied Mathematics
Other Research Interests (52)
Evolutionary Genomics
Microbiology
Infectious Diseases
Genetics
Cell Biology
And 47 more
About
Jeffrey Townsend is a Professor of Organismic and Evolutionary Biology at Yale University. He received his Ph.D. from Harvard University in 2002 and his Sc.B. from Brown University in 1994. He has been a teacher at St. Ann's School and an Assistant Professor at the University of Connecticut. He is currently the Elihu Professor of Biostatistics at Yale University.
Most Relevant Publications (2+)

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

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

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Ryan Howell

San Francisco , California, United States of America
Professor of Psychology, Department of Psychology, San Francisco State University
Most Relevant Research Interests
Applied Mathematics
Other Research Interests (33)
Happiness
Psychiatry and Mental health
Clinical Psychology
History and Philosophy of Science
Applied Psychology
And 28 more
About
Dr. Ryan Howell is an Associate Professor at San Francisco State University. His research interests include the psychology of goals and how people pursue and achieve them. Dr. Howell received his PhD in Social/Personality Psychology from the University of California, Riverside in 2005.
Most Relevant Publications (1+)

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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Tim Osswald

Polymers Professor - University of Wisconsin
Most Relevant Research Interests
Applied Mathematics
Other Research Interests (44)
Polymer Engineering
Advanced Manufacturing
Composites
Additive Manufacturing
Materials Chemistry
And 39 more
About
T. Osswald is Hoeganaes Professor of Materials at the University of Wisconsin-Madison, where he has been a faculty member since 1989. Osswald received the PhD in Mechanical Engineering from the University of Illinois at Urbana-Champaign in 1987, the MS in Mechanical Engineering from the South Dakota School of Mines and Technology in 1982, and the BS in Mechanical Engineering from the South Dakota School of Mines and Technology in 1981. Before joining the UW-Madison faculty, Osswald was a Humboldt Fellow at the Rheinisch Westfalische Technische Hochschule Aachen. Osswald’s research interests are in the areas of processing-structure-property relationships for metals and composites, with a focus on powder metallurgy and metal injection molding. His research has been supported by the National Science Foundation, the Department of Energy, the US Army Research Office, and industry. Osswald is a Fellow of ASM International and the American Academy of Mechanics, and he has received the Extrusion Division Award, the Powder Metallurgy Division Award, and the Distinguished Teaching Award from TMS.
Most Relevant Publications (2+)

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

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Jo Boaler

Palo Alto, California, United States of America
Professor of Mathematics Education, Stanford University
Most Relevant Research Interests
Applied Mathematics
Other Research Interests (29)
mathematics education
equity
gender
mindset
learning
And 24 more
About
Dr Jo Boaler is a Professor of Mathematics Education at Stanford University, and the co-founder of youcubed. Her PhD won the national award for educational research in the UK and her book: Experiencing School Mathematics won the ‘Outstanding Book of the Year’ award for education in Britain. She is an elected fellow of the Royal Society of Arts (Great Britain), and a former president of the International Organization for Women and Mathematics Education (IOWME). She is the recipient of a National Science Foundation ‘Early Career Award’ and the NCSM Kay Gilliland Equity Award (2014). She is the author of nine books and numerous research articles. Her latest book is Mathematical Mindsets: Unleashing Students’ Potential through Creative Math, Inspiring Messages and Innovative Teaching (2016), and is published by Wiley. She serves as an advisor to several Silicon Valley companies.
Most Relevant Publications (3+)

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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Dmitry Batenkov, Ph.D.

New York City, New York, United States of America
A highly experienced applied mathematician working in academia (faculty) and industry (consulting), with 15+ years of research and teaching expertise in inverse problems, signal processing, and data science.
Most Relevant Research Interests
Applied Mathematics
Other Research Interests (30)
Applied Harmonic Analysis
Sparse Representations
Numerical Analysis
Approximation Theory
Inverse Problems
And 25 more
About
I am passionate about solving big problems with scientific and computational tools. A highly experienced applied mathematician working in academia (faculty) and industry (consulting), with 15+ years of research and teaching expertise in inverse problems, signal processing, and data science. A highly-skilled software engineer and analyst/architect with 6+ years of experience as a technical lead in professional software development.
Most Relevant Publications (15+)

51 total publications

Algebraic Fourier reconstruction of piecewise smooth functions

Mathematics of Computation / Jan 01, 2012

Batenkov, D., & Yomdin, Y. (2012). Algebraic Fourier reconstruction of piecewise smooth functions. Mathematics of Computation, 81(277), 277–318. https://doi.org/10.1090/s0025-5718-2011-02539-1

On the Accuracy of Solving Confluent Prony Systems

SIAM Journal on Applied Mathematics / Jan 01, 2013

Batenkov, D., & Yomdin, Y. (2013). On the Accuracy of Solving Confluent Prony Systems. SIAM Journal on Applied Mathematics, 73(1), 134–154. https://doi.org/10.1137/110836584

Super-resolution of near-colliding point sources

Information and Inference: A Journal of the IMA / May 11, 2020

Batenkov, D., Goldman, G., & Yomdin, Y. (2020). Super-resolution of near-colliding point sources. Information and Inference: A Journal of the IMA, 10(2), 515–572. https://doi.org/10.1093/imaiai/iaaa005

Complete algebraic reconstruction of piecewise-smooth functions from Fourier data

Mathematics of Computation / Feb 19, 2015

Batenkov, D. (2015). Complete algebraic reconstruction of piecewise-smooth functions from Fourier data. Mathematics of Computation, 84(295), 2329–2350. https://doi.org/10.1090/s0025-5718-2015-02948-2

Stability and super-resolution of generalized spike recovery

Applied and Computational Harmonic Analysis / Sep 01, 2018

Batenkov, D. (2018). Stability and super-resolution of generalized spike recovery. Applied and Computational Harmonic Analysis, 45(2), 299–323. https://doi.org/10.1016/j.acha.2016.09.004

Geometry and Singularities of the Prony mapping

Journal of Singularities / Jan 01, 2014

Batenkov, D., & Yomdin, Y. (2014). Geometry and Singularities of the Prony mapping. Journal of Singularities. https://doi.org/10.5427/jsing.2014.10a

Moment inversion problem for piecewise D -finite functions

Inverse Problems / Sep 16, 2009

Batenkov, D. (2009). Moment inversion problem for piecewise D -finite functions. Inverse Problems, 25(10), 105001. https://doi.org/10.1088/0266-5611/25/10/105001

Decimated Prony's Method for Stable Super-Resolution

IEEE Signal Processing Letters / Jan 01, 2023

Katz, R., Diab, N., & Batenkov, D. (2023). Decimated Prony’s Method for Stable Super-Resolution. IEEE Signal Processing Letters, 30, 1467–1471. https://doi.org/10.1109/lsp.2023.3324553

On inverses of Vandermonde and confluent Vandermonde matrices

Numerische Mathematik / Dec 01, 1962

Gautschi, W. (1962). On inverses of Vandermonde and confluent Vandermonde matrices. Numerische Mathematik, 4(1), 117–123. https://doi.org/10.1007/bf01386302

Super-resolution of generalized spikes and spectra of confluent Vandermonde matrices

Applied and Computational Harmonic Analysis / Jul 01, 2023

Batenkov, D., & Diab, N. (2023). Super-resolution of generalized spikes and spectra of confluent Vandermonde matrices. Applied and Computational Harmonic Analysis, 65, 181–208. https://doi.org/10.1016/j.acha.2023.03.002

Single-exponential bounds for the smallest singular value of Vandermonde matrices in the sub-Rayleigh regime

Applied and Computational Harmonic Analysis / Nov 01, 2021

Batenkov, D., & Goldman, G. (2021). Single-exponential bounds for the smallest singular value of Vandermonde matrices in the sub-Rayleigh regime. Applied and Computational Harmonic Analysis, 55, 426–439. https://doi.org/10.1016/j.acha.2021.07.003

Stable soft extrapolation of entire functions

Inverse Problems / Dec 07, 2018

Batenkov, D., Demanet, L., & Mhaskar, H. N. (2018). Stable soft extrapolation of entire functions. Inverse Problems, 35(1), 015011. https://doi.org/10.1088/1361-6420/aaedde

Uniform upper bounds for the cyclicity of the zero solution of the Abel differential equation

Journal of Differential Equations / Dec 01, 2015

Batenkov, D., & Binyamini, G. (2015). Uniform upper bounds for the cyclicity of the zero solution of the Abel differential equation. Journal of Differential Equations, 259(11), 5769–5781. https://doi.org/10.1016/j.jde.2015.07.009

Sampling, Metric Entropy, and Dimensionality Reduction

SIAM Journal on Mathematical Analysis / Jan 01, 2015

Batenkov, D., Friedland, O., & Yomdin, Y. (2015). Sampling, Metric Entropy, and Dimensionality Reduction. SIAM Journal on Mathematical Analysis, 47(1), 786–796. https://doi.org/10.1137/130944436

Integral Geometry Problems with Incomplete Data

Journal of Mathematical Sciences / Sep 02, 2014

Batenkov, D. V., Golubyatnikov, V. P., & Yomdin, Y. N. (2014). Integral Geometry Problems with Incomplete Data. Journal of Mathematical Sciences, 202(1), 25–39. https://doi.org/10.1007/s10958-014-2031-8

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Osaye Fadekemi, PhD

Assistant Professor of Mathematics at Alabama State University with expertise in Graph Theory and Network Modeling
Most Relevant Research Interests
Applied Mathematics
Other Research Interests (11)
Graph Theory
Network Modeling
Disease Modeling
Discrete Mathematics and Combinatorics
Theoretical Computer Science
And 6 more
About
Dr Fadekemi Janet Osaye is a mathematician whose primary research interest is in graph theory and network modeling. In particular, she is interested in distance measures in graphs and their applications to solving many real-world problems. Her interest in discrete mathematics was inspired by her research project carried out at AIMS Ghana. She has published several articles in reputable journals and has presented in several conferences across the globe. In 2019, she became the first black female to be awarded a PhD in Mathematics by the University of Johannesburg, South Africa, in its 116 years of its existence. Since June 2021, she has been an Assistant Professor of Mathematics at Alabama State University and was previously a Visiting Assistant Professor at Auburn University. She is the founder of GirlsMatics Foundation, a STEM non-governmental organisation for girls in Nigeria which was motivated by her involvement with AIMS Ghana’s outreach programs for high school students in Biriwa, Ghana. She is also the co-founder of FadNna Partners, an analytics and management firm based in Lagos, Nigeria.
Most Relevant Publications (3+)

7 total publications

Upper bounds on the average eccentricity of K3-free and C4-free graphs

Discrete Applied Mathematics / Nov 01, 2019

Dankelmann, P., Osaye, F. J., Mukwembi, S., & Rodrigues, B. G. (2019). Upper bounds on the average eccentricity of <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" id="d1e103" altimg="si18.svg"><mml:msub><mml:mrow><mml:mi>K</mml:mi></mml:mrow><mml:mrow><mml:mn>3</mml:mn></mml:mrow></mml:msub></mml:math>-free and <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" id="d1e113" altimg="si19.svg"><mml:msub><mml:mrow><mml:mi>C</mml:mi></mml:mrow><mml:mrow><mml:mn>4</mml:mn></mml:mrow></mml:msub></mml:math>-free graphs. Discrete Applied Mathematics, 270, 106–114. https://doi.org/10.1016/j.dam.2019.06.003

Average eccentricity, minimum degree and maximum degree in graphs

Journal of Combinatorial Optimization / Jun 26, 2020

Dankelmann, P., & Osaye, F. J. (2020). Average eccentricity, minimum degree and maximum degree in graphs. Journal of Combinatorial Optimization, 40(3), 697–712. https://doi.org/10.1007/s10878-020-00616-x

Average eccentricity, minimum degree and maximum degree in graphs

Journal of Combinatorial Optimization / Jun 26, 2020

Dankelmann, P., & Osaye, F. J. (2020). Average eccentricity, minimum degree and maximum degree in graphs. Journal of Combinatorial Optimization, 40(3), 697–712. https://doi.org/10.1007/s10878-020-00616-x

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Prof. Anantha Padmanabhan Kuppuswamy, PhD, ScD (Cambridge)

Professor of Eminence, Materials Science and Engineering Program, Dept. of Mechanical Engineering, Anna University, India; formerly President & Provost (Director), Indian Institute of Technology, Kanpur, India
Most Relevant Research Interests
Applied Mathematics
Other Research Interests (32)
Materials Science and Engineering
Metallurgy
Materials Processing
Mechanical Behavior of Materials
Organic Chemistry
And 27 more
About
Prof. Anantha Padmanabhan Kuppuswamy is a renowned scientist and academician with extensive experience in the field of materials science and metallurgy. He completed his B Sc in Metallurgical Engineering from Banaras Hindu University in 1968 and went on to obtain his PhD from the University of Cambridge in 1972. Prof. Kuppuswamy has held various prestigious positions in his career, including being a Professor of Eminence at Anna University in Chennai, a Distinguished Professor at the University of Hyderabad, and the Director of IIT Kanpur. He has also served as a Professor at IIT Madras. His research interests include materials characterization, mechanical behavior of materials, and nanomaterials. He has published numerous papers in international journals and has received several awards and honors for his contributions to the field of materials science. Apart from his academic achievements, Prof. Kuppuswamy is also known for his dedication to teaching and mentoring students. He has guided several PhD students and postdoctoral fellows, many of whom have gone on to have successful careers in academia and industry. In recognition of his contributions to the field, Prof. Kuppuswamy has been elected as a Fellow of the Indian National Science Academy, the Indian Academy of Sciences, and the Indian National Academy of Engineering. He has also received the prestigious Lifetime Contribution Award in Engineering 2020 from the Indian National Academy of Engineering. https://en.wikipedia.org/wiki/K.A.\_Padmanabhan https://scholar.google.co.in/citations?user=CNpGoFsAAAAJ&hl=en
Most Relevant Publications (1+)

100 total publications

On the prediction of the forming-limit diagram of sheet metals

International Journal of Mechanical Sciences / May 01, 1992

Date, P. P., & Padmanabhan, K. A. (1992). On the prediction of the forming-limit diagram of sheet metals. International Journal of Mechanical Sciences, 34(5), 363–374. https://doi.org/10.1016/0020-7403(92)90024-b

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Dr. KEHINDE ADEWALE ADESINA, Ph.D

Harlow
Assistant Professor in engineering (food, industrial and process) with quantitative and qualitative research in food processing, safefy, efficiency management, optimization and data analysis
Most Relevant Research Interests
Applied Mathematics
Other Research Interests (18)
Artificial Intelligence
Software
Management Science and Operations Research
Safety, Risk, Reliability and Quality
Information Systems
And 13 more
About
Dr. KEHINDE ADEWALE ADESINA, Ph.D is a highly educated and experienced individual in the field of Industrial Engineering, Process, and Food Engineering. He obtained his PhD in Industrial Engineering from Eastern Mediterranean University in 2018, where he focused on research related to optimization and process improvement in manufacturing industries. Prior to his PhD, Dr. Adesina completed his Master's degree in Chemical Engineering from Obafemi Awolowo University in 2011 and his Bachelor's degree in Chemical Engineering from Ladoke Akintola University of Technology in 2003. Dr. Adesina has also gained valuable teaching experience as an Assistant Professor at Near East University Nicosia/KKTC and as a Lecturer at Rufus Giwa Polytechnic. He has taught a variety of courses related to industrial engineering, food engineering, chemical engineering, and research methodology. In addition to his teaching experience, Dr. Adesina has also worked as a Research Assistant at Eastern Mediterranean University, where he conducted research on various industrial engineering topics. Through his education and experience, Dr. Adesina has developed a strong understanding of industrial engineering principles and techniques, as well as a passion for research and teaching. He continues to contribute to the field through his academic work and is dedicated to helping students and industries improve their processes and operations.
Most Relevant Publications (1+)

27 total publications

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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Denys Dutykh

Professional Applied Mathematician, Modeller, and Advisor
Most Relevant Research Interests
Applied mathematics
Other Research Interests (50)
fluid mechanics
scientific computing
numerical methods
Fluid Flow and Transfer Processes
Condensed Matter Physics
And 45 more
About
Dr. Denys Dutykh initially comes from the broad field of Applied Mathematics. He did his Master's degree in numerical methods applied to the problems of Continuum Mechanics and a Ph.D. thesis at Ecole Normale Supérieure de Cachan (France) on the mathematical modeling of tsunami waves. After this, he was hired as a permanent research scientist at the Institute of Mathematics (INSMI) at the Centre National de la Recherche Scientifique (CNRS). His research activities have been conducted in the following years at the picturesque University Savoie Mont Blanc (USMB, France) in the field of mathematical methods applied to the modeling and simulation of nonlinear waves (mostly in Fluid Dynamics). The Habilitation thesis of Dr. Dutykh was defended there on the topic of the mathematical methods in the environment. Since then, his research interests have significantly broadened to include the Dimensionality Reduction methods in Machine Learning, modeling of PV panels, and even some more theoretical questions in the Number Theory.
Most Relevant Publications (37+)

186 total publications

Finite volume schemes for dispersive wave propagation and runup

Journal of Computational Physics / Apr 01, 2011

Dutykh, D., Katsaounis, T., & Mitsotakis, D. (2011). Finite volume schemes for dispersive wave propagation and runup. Journal of Computational Physics, 230(8), 3035–3061. https://doi.org/10.1016/j.jcp.2011.01.003

Finite volume and pseudo-spectral schemes for the fully nonlinear 1D Serre equations

European Journal of Applied Mathematics / May 24, 2013

DUTYKH, D., CLAMOND, D., MILEWSKI, P., & MITSOTAKIS, D. (2013). Finite volume and pseudo-spectral schemes for the fully nonlinear 1D Serre equations. European Journal of Applied Mathematics, 24(5), 761–787. https://doi.org/10.1017/s0956792513000168

Efficient computation of steady solitary gravity waves

Wave Motion / Jan 01, 2014

Dutykh, D., & Clamond, D. (2014). Efficient computation of steady solitary gravity waves. Wave Motion, 51(1), 86–99. https://doi.org/10.1016/j.wavemoti.2013.06.007

On the Galerkin/Finite-Element Method for the Serre Equations

Journal of Scientific Computing / Feb 05, 2014

Mitsotakis, D., Ilan, B., & Dutykh, D. (2014). On the Galerkin/Finite-Element Method for the Serre Equations. Journal of Scientific Computing, 61(1), 166–195. https://doi.org/10.1007/s10915-014-9823-3

Conservative modified Serre–Green–Naghdi equations with improved dispersion characteristics

Communications in Nonlinear Science and Numerical Simulation / Apr 01, 2017

Clamond, D., Dutykh, D., & Mitsotakis, D. (2017). Conservative modified Serre–Green–Naghdi equations with improved dispersion characteristics. Communications in Nonlinear Science and Numerical Simulation, 45, 245–257. https://doi.org/10.1016/j.cnsns.2016.10.009

Finite volume methods for unidirectional dispersive wave models

International Journal for Numerical Methods in Fluids / May 21, 2012

Dutykh, D., Katsaounis, Th., & Mitsotakis, D. (2012). Finite volume methods for unidirectional dispersive wave models. International Journal for Numerical Methods in Fluids, 71(6), 717–736. Portico. https://doi.org/10.1002/fld.3681

Weakly singular shock profiles for a non-dispersive regularization of shallow-water equations

Communications in Mathematical Sciences / Jan 01, 2018

Pu, Y., Pego, R. L., Dutykh, D., & Clamond, D. (2018). Weakly singular shock profiles for a non-dispersive regularization of shallow-water equations. Communications in Mathematical Sciences, 16(5), 1361–1378. https://doi.org/10.4310/cms.2018.v16.n5.a9

Run-up amplification of transient long waves

Quarterly of Applied Mathematics / Jan 22, 2015

Stefanakis, T. S., Xu, S., Dutykh, D., & Dias, F. (2015). Run-up amplification of transient long waves. Quarterly of Applied Mathematics, 73(1), 177–199. https://doi.org/10.1090/s0033-569x-2015-01377-0

Mathematical modeling of exercise fatigability in the severe domain: A unifying integrative framework in isokinetic condition

Journal of Theoretical Biology / Feb 01, 2024

Bowen, M., Samozino, P., Vonderscher, M., Dutykh, D., & Morel, B. (2024). Mathematical modeling of exercise fatigability in the severe domain: A unifying integrative framework in isokinetic condition. Journal of Theoretical Biology, 578, 111696. https://doi.org/10.1016/j.jtbi.2023.111696

Galilei-invariant and energy-preserving extensions of Benjamin–Bona–Mahony-type equations

Partial Differential Equations in Applied Mathematics / Jun 01, 2023

Cheviakov, A., & Dutykh, D. (2023). Galilei-invariant and energy-preserving extensions of Benjamin–Bona–Mahony-type equations. Partial Differential Equations in Applied Mathematics, 7, 100519. https://doi.org/10.1016/j.padiff.2023.100519

Free Surface Flows in Electrohydrodynamics with a Constant Vorticity Distribution

Water Waves / Oct 07, 2020

Hunt, M. J., & Dutykh, D. (2020). Free Surface Flows in Electrohydrodynamics with a Constant Vorticity Distribution. Water Waves, 3(2), 297–317. https://doi.org/10.1007/s42286-020-00043-9

A comparative study of bi-directional Whitham systems

Applied Numerical Mathematics / Jul 01, 2019

Dinvay, E., Dutykh, D., & Kalisch, H. (2019). A comparative study of bi-directional Whitham systems. Applied Numerical Mathematics, 141, 248–262. https://doi.org/10.1016/j.apnum.2018.09.016

A spectral method for solving heat and moisture transfer through consolidated porous media

International Journal for Numerical Methods in Engineering / Dec 03, 2018

Gasparin, S., Dutykh, D., & Mendes, N. (2018). A spectral method for solving heat and moisture transfer through consolidated porous media. International Journal for Numerical Methods in Engineering, 117(11), 1143–1170. Portico. https://doi.org/10.1002/nme.5994

An efficient method to estimate sorption isotherm curve coefficients

Inverse Problems in Science and Engineering / Jul 14, 2018

Berger, J., Busser, T., Dutykh, D., & Mendes, N. (2018). An efficient method to estimate sorption isotherm curve coefficients. Inverse Problems in Science and Engineering, 27(6), 735–772. https://doi.org/10.1080/17415977.2018.1495720

An innovative method to determine optimum insulation thickness based on non-uniform adaptive moving grid

Journal of the Brazilian Society of Mechanical Sciences and Engineering / Mar 14, 2019

Gasparin, S., Berger, J., Dutykh, D., & Mendes, N. (2019). An innovative method to determine optimum insulation thickness based on non-uniform adaptive moving grid. Journal of the Brazilian Society of Mechanical Sciences and Engineering, 41(4). https://doi.org/10.1007/s40430-019-1670-6

Effects of vorticity on the travelling waves of some shallow water two-component systems

Discrete &amp; Continuous Dynamical Systems - A / Jan 01, 2019

Dutykh, D., & Ionescu-Kruse, D. (2019). Effects of vorticity on the travelling waves of some shallow water two-component systems. Discrete &amp; Continuous Dynamical Systems - A, 39(9), 5521–5541. https://doi.org/10.3934/dcds.2019225

Evaluation of the reliability of building energy performance models for parameter estimation

Вычислительные технологии / Jun 17, 2019

Берже,   Жулиан, & Дутых,   Денис. (2019). Evaluation of the reliability of building energy performance models for parameter estimation. Вычислительные Технологии, 3(24). https://doi.org/10.25743/ict.2019.24.3.002

On some model equations for pulsatile flow in viscoelastic vessels

Wave Motion / Aug 01, 2019

Mitsotakis, D., Dutykh, D., Li, Q., & Peach, E. (2019). On some model equations for pulsatile flow in viscoelastic vessels. Wave Motion, 90, 139–151. https://doi.org/10.1016/j.wavemoti.2019.05.004

Wave dynamics on networks: Method and application to the sine-Gordon equation

Applied Numerical Mathematics / Sep 01, 2018

Dutykh, D., & Caputo, J.-G. (2018). Wave dynamics on networks: Method and application to the sine-Gordon equation. Applied Numerical Mathematics, 131, 54–71. https://doi.org/10.1016/j.apnum.2018.03.010

Non-dispersive conservative regularisation of nonlinear shallow water (and isentropic Euler equations)

Communications in Nonlinear Science and Numerical Simulation / Feb 01, 2018

Clamond, D., & Dutykh, D. (2018). Non-dispersive conservative regularisation of nonlinear shallow water (and isentropic Euler equations). Communications in Nonlinear Science and Numerical Simulation, 55, 237–247. https://doi.org/10.1016/j.cnsns.2017.07.011

Some special solutions to the Hyperbolic NLS equation

Communications in Nonlinear Science and Numerical Simulation / Apr 01, 2018

Vuillon, L., Dutykh, D., & Fedele, F. (2018). Some special solutions to the Hyperbolic NLS equation. Communications in Nonlinear Science and Numerical Simulation, 57, 202–220. https://doi.org/10.1016/j.cnsns.2017.09.018

On supraconvergence phenomenon for second order centered finite differences on non-uniform grids

Journal of Computational and Applied Mathematics / Dec 01, 2017

Khakimzyanov, G., & Dutykh, D. (2017). On supraconvergence phenomenon for second order centered finite differences on non-uniform grids. Journal of Computational and Applied Mathematics, 326, 1–14. https://doi.org/10.1016/j.cam.2017.05.006

On the nonlinear dynamics of the traveling-wave solutions of the Serre system

Wave Motion / Apr 01, 2017

Mitsotakis, D., Dutykh, D., & Carter, J. (2017). On the nonlinear dynamics of the traveling-wave solutions of the Serre system. Wave Motion, 70, 166–182. https://doi.org/10.1016/j.wavemoti.2016.09.008

New asymptotic heat transfer model in thin liquid films

Applied Mathematical Modelling / Aug 01, 2017

Chhay, M., Dutykh, D., Gisclon, M., & Ruyer-Quil, C. (2017). New asymptotic heat transfer model in thin liquid films. Applied Mathematical Modelling, 48, 844–859. https://doi.org/10.1016/j.apm.2017.02.022

Serre-type Equations in Deep Water

Mathematical Modelling of Natural Phenomena / Jan 01, 2017

Dutykh, D., Clamond, D., & Chhay, M. (2017). Serre-type Equations in Deep Water. Mathematical Modelling of Natural Phenomena, 12(1), 23–40. https://doi.org/10.1051/mmnp/201712103

The Whitham equation with surface tension

Nonlinear Dynamics / Jan 10, 2017

Dinvay, E., Moldabayev, D., Dutykh, D., & Kalisch, H. (2017). The Whitham equation with surface tension. Nonlinear Dynamics, 88(2), 1125–1138. https://doi.org/10.1007/s11071-016-3299-7

Modified shallow water equations for significantly varying seabeds

Applied Mathematical Modelling / Dec 01, 2016

Dutykh, D., & Clamond, D. (2016). Modified shallow water equations for significantly varying seabeds. Applied Mathematical Modelling, 40(23–24), 9767–9787. https://doi.org/10.1016/j.apm.2016.06.033

Derivation of dissipative Boussinesq equations using the Dirichlet-to-Neumann operator approach

Mathematics and Computers in Simulation / Sep 01, 2016

Dutykh, D., & Goubet, O. (2016). Derivation of dissipative Boussinesq equations using the Dirichlet-to-Neumann operator approach. Mathematics and Computers in Simulation, 127, 80–93. https://doi.org/10.1016/j.matcom.2013.12.008

Efficient computation of capillary–gravity generalised solitary waves

Wave Motion / Sep 01, 2016

Dutykh, D., Clamond, D., & Durán, A. (2016). Efficient computation of capillary–gravity generalised solitary waves. Wave Motion, 65, 1–16. https://doi.org/10.1016/j.wavemoti.2016.04.007

A new run-up algorithm based on local high-order analytic expansions

Journal of Computational and Applied Mathematics / May 01, 2016

Khakimzyanov, G., Shokina, N. Yu., Dutykh, D., & Mitsotakis, D. (2016). A new run-up algorithm based on local high-order analytic expansions. Journal of Computational and Applied Mathematics, 298, 82–96. https://doi.org/10.1016/j.cam.2015.12.004

Travelling wave solutions for some two-component shallow water models

Journal of Differential Equations / Jul 01, 2016

Dutykh, D., & Ionescu-Kruse, D. (2016). Travelling wave solutions for some two-component shallow water models. Journal of Differential Equations, 261(2), 1099–1114. https://doi.org/10.1016/j.jde.2016.03.035

Generation of 2D water waves by moving bottom disturbances

IMA Journal of Applied Mathematics / Oct 24, 2014

Nersisyan, H., Dutykh, D., & Zuazua, E. (2014). Generation of 2D water waves by moving bottom disturbances. IMA Journal of Applied Mathematics, 80(4), 1235–1253. https://doi.org/10.1093/imamat/hxu051

On the Galilean Invariance of Some Nonlinear Dispersive Wave Equations

Studies in Applied Mathematics / May 23, 2013

Duran, A., Dutykh, D., & Mitsotakis, D. (2013). On the Galilean Invariance of Some Nonlinear Dispersive Wave Equations. Studies in Applied Mathematics, 131(4), 359–388. Portico. https://doi.org/10.1111/sapm.12015

Mathematical Modeling of Powder‐Snow Avalanche Flows

Studies in Applied Mathematics / Feb 28, 2011

Dutykh, D., Acary‐Robert, C., & Bresch, D. (2011). Mathematical Modeling of Powder‐Snow Avalanche Flows. Studies in Applied Mathematics, 127(1), 38–66. Portico. https://doi.org/10.1111/j.1467-9590.2010.00511.x

On the relevance of the dam break problem in the context of nonlinear shallow water equations

Discrete &amp; Continuous Dynamical Systems - B / Jan 01, 2010

Dutykh, D., & Mitsotakis, D. (2010). On the relevance of the dam break problem in the context of nonlinear shallow water equations. Discrete &amp; Continuous Dynamical Systems - B, 13(4), 799–818. https://doi.org/10.3934/dcdsb.2010.13.799

Velocity and Energy Relaxation in Two-Phase Flows

Studies in Applied Mathematics / Mar 01, 2010

Meyapin, Y., Dutykh, D., & Gisclon, M. (2010). Velocity and Energy Relaxation in Two-Phase Flows. Studies in Applied Mathematics. https://doi.org/10.1111/j.1467-9590.2010.00484.x

Tsunami generation by dynamic displacement of sea bed due to dip-slip faulting

Mathematics and Computers in Simulation / Dec 01, 2009

Dutykh, D., & Dias, F. (2009). Tsunami generation by dynamic displacement of sea bed due to dip-slip faulting. Mathematics and Computers in Simulation, 80(4), 837–848. https://doi.org/10.1016/j.matcom.2009.08.036

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