Wasiur R. KhudaBukhsh

Assistant Professor

University of Nottingham

United Kingdom

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Wasiur R. KhudaBukhsh is an Assistant Professor at the University of Nottingham, United Kingdom. His research primarily focuses on infectious disease transmission, with recent articles examining topics such as disease modeling, network properties from epidemic data, and survival analysis in non-Markovian models. His work contributes to understanding disease dynamics and public health implications, particularly in the context of outbreaks like Ebola and COVID-19.

Articles (15)

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2024

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2024

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2024

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2023

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2022

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2022

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2022

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2022

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2022

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2022

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2022

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2022

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2021

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2020

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2020

Collaborators (6)

Heinz Koeppl

Technische Universität Darmstadt

GERMANY

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Luc Berthouze

University of Sussex

UNITED KINGDOM

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Eben Kenah

Associate Professor

Ohio State University

UNITED STATES

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Mark Weir

Assistant Professor

Ohio State University

UNITED STATES

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Istvan Kiss

Professor of Applied Mathematics

Northeastern University London

UNITED KINGDOM

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Srinivasan Parthasarathy

Professor

Ohio State University

UNITED STATES

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Wasiur R. KhudaBukhsh

Research Interests

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About

Articles (15)

Towards Inferring Network Properties from Epidemic Data

Pairwise Accelerated Failure Time Regression Models for Infectious Disease Transmission in Close‐Contact Groups With External Sources of Infection

Estimating disease transmission in a closed population under repeated testing

Projecting COVID-19 cases and hospital burden in Ohio

Analysis of individual-level data from 2018–2020 Ebola outbreak in Democratic Republic of the Congo

Assortative mixing among vaccination groups and biased estimation of reproduction numbers

Quantifying the Population-level Effect of the COVID-19 Mass Vaccination Campaign in Israel: a Modeling Study

A machine learning model for nowcasting epidemic incidence

Dynamic survival analysis for non-Markovian epidemic models

Hypergraphon mean field games

A functional central limit theorem for SI processes on configuration model graphs

Motif-based mean-field approximation of interacting particles on clustered networks

Incorporating age and delay into models for biophysical systems

Generalized Cost-Based Job Scheduling in Very Large Heterogeneous Cluster Systems

Survival dynamical systems: individual-level survival analysis from population-level epidemic models

Collaborators (6)

Heinz Koeppl

Luc Berthouze

Eben Kenah

Mark Weir

Istvan Kiss

Srinivasan Parthasarathy

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