Padmanabhan Seshaiyer

Padmanabhan Seshaiyer

George Mason University

H-index: 27

North America-United States

About Padmanabhan Seshaiyer

Padmanabhan Seshaiyer, With an exceptional h-index of 27 and a recent h-index of 15 (since 2020), a distinguished researcher at George Mason University, specializes in the field of Computational Mathematics, Finite Element Methods, Infectious Diseases, Mathematics Education.

His recent articles reflect a diverse array of research interests and contributions to the field:

A generalized weak Galerkin method for Oseen equation

Literate programming for motivating and teaching neural network-based approaches to solve differential equations

Mathematical Modeling of the Impact of Lobbying on Climate Policy

Supporting creativity and innovation in STEAM undergraduate curriculum through hands-on learning

Analyzing High School Student Mental Health using SEITR Compartmental Model of Epidemiology

Young Mathematicians Take Action Through Sport Clinics

LETTER FROM THE EDITORS: THE EMERGING NEED FOR BIOLOGICALLY INSPIRED AND MATHEMATICALLY GUIDED MACHINE LEARNING FOR KNOWLEDGE DISCOVERY IN BIOLOGY

Application of Physics Informed Neural Networks for Predicting Disease Dynamics

Padmanabhan Seshaiyer Information

University

Position

___

Citations(all)

2331

Citations(since 2020)

1106

Cited By

1217

hIndex(all)

27

hIndex(since 2020)

15

i10Index(all)

46

i10Index(since 2020)

24

Email

University Profile Page

Google Scholar

Padmanabhan Seshaiyer Skills & Research Interests

Computational Mathematics

Finite Element Methods

Infectious Diseases

Mathematics Education

Top articles of Padmanabhan Seshaiyer

Title

Journal

Author(s)

Publication Date

A generalized weak Galerkin method for Oseen equation

Journal of Computational and Applied Mathematics

Wenya Qi

Padmanabhan Seshaiyer

Junping Wang

2024/4/1

Literate programming for motivating and teaching neural network-based approaches to solve differential equations

International Journal of Mathematical Education in Science and Technology

Alonso Ogueda-Oliva

Padmanabhan Seshaiyer

2024/2/7

Mathematical Modeling of the Impact of Lobbying on Climate Policy

Andrew Jacoby

Claire Hannah

James Hutchinson

Jasmine Narehood

Aditi Ghosh

...

2023

Supporting creativity and innovation in STEAM undergraduate curriculum through hands-on learning

Nathalia Peixoto

Padmanabhan Seshaiyer

Linghan Zhang

Holly Matto

2023/3/12

Analyzing High School Student Mental Health using SEITR Compartmental Model of Epidemiology

Journal of Student-Scientists' Research

SASHWAT RAVISHANKAR

Alonso Ogueda

Padmanabhan Seshaiyer

2023/10/27

Young Mathematicians Take Action Through Sport Clinics

Mathematics Teacher: Learning and Teaching PK-12

Jennifer Suh

Gretchen Maxwell

Kate Roscioli

Holly Tate

Padmanabhan Seshaiyer

...

2023/11/1

LETTER FROM THE EDITORS: THE EMERGING NEED FOR BIOLOGICALLY INSPIRED AND MATHEMATICALLY GUIDED MACHINE LEARNING FOR KNOWLEDGE DISCOVERY IN BIOLOGY

Journal of Machine Learning for Modeling and Computing

Ritambhara Singh

Padmanabhan Seshaiyer

2023

Application of Physics Informed Neural Networks for Predicting Disease Dynamics

Acta Mechanica Sinica

Maziyar Bazmara

Mohammad Mianroodi

Mohammad Silani

2023/6

Modelamiento matemático del efecto del retraso del tratamiento sobre la resistencia del VIH a drogas en hombres que tienen sexo con hombres ecuatorianos

Revis Bionatura

G Morey-León

J Vega-Lugo

J Humberstone

M Gonzalez-Gonzalez

E Morales-Butler

...

2023

GLAMS: Graduate Learning Assistants in Mathematical Sciences

PRIMUS

Joanna G Jauchen

Hannah Klawa

Long Nguyen

Rebecca RG

Evelyn Sander

...

2023/2/28

Mathematical Modeling and Numerical Analysis of Population Dynamics: Unraveling the Migration Patterns of Ukrainians during the 2022-2023 War

Journal of Student-Scientists' Research

DANIELLE SITALO

Padmanabhan Seshaiyer

2023/10/27

MACHINE LEARNING FOR PREDICTING THE DYNAMICS OF INFECTIOUS DISEASES DURING TRAVEL THROUGH PHYSICS INFORMED NEURAL NETWORKS

Journal of Machine Learning for Modeling and Computing

Alonso G Ogueda-Oliva

Erika Johanna Martínez-Salinas

Viswanathan Arunachalam

Padmanabhan Seshaiyer

2023

Physics-Informed Neural Networks for Agent-Based Epidemiological Model Calibration

Alvan C Arulandu

Padmanabhan Seshaiyer

2023

Mathematical Modeling and Simulation of Migration Dynamics of Ukrainian Refugees Due to War in Ukraine 2022-2023

Danielle Sitalo

Padmanabhan Seshaiyer

2023

Dilemmas and design principles in planning for justice-oriented community-based mathematical modeling lessons

Mathematics Teacher Educator

Jennifer M Suh

Holly Tate

Maryanne Rossbach

Samara Green

Kathy Matson

...

2023/6/1

Influence of distinct social contexts of long-term care facilities on the dynamics of spread of COVID-19 under predefine epidemiological scenarios

Computational and Mathematical Biophysics

Aditi Ghosh

Pradyuta Padmanabhan

Anuj Mubayi

Padmanabhan Seshaiyer

2023/12/31

Understanding the spread of racism through mathematical modeling, analysis and simulation

Journal of Student-Scientists' Research

NOSSIM MSECHU

Alonso Ogueda

Padmanabhan Seshaiyer

2023/10/27

“There Are a Lot of People Like Me…”: The Impact of a STEM Program for Underrepresented Girls

Kelly L Knight

Padmanabhan Seshaiyer

Danielle Craddock

Claudette P Davis

2023

Disease Informed Neural Network and Mathematical Modeling of COVID-19 with Human Behavior Modification

Alonso Gabriel Ogueda

Jeremis Morales-Morales

Carmen Caiseda

Padmanabhan Seshaiyer

2023

Generalized weak Galerkin methods for Stokes equations

Computers & Mathematics with Applications

Wenya Qi

Padmanabhan Seshaiyer

Junping Wang

2023/3/15

See List of Professors in Padmanabhan Seshaiyer University(George Mason University)

Co-Authors

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