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Iftikhar Ahmed's Projects

cfd icon cfd

Basic Computational Fluid Dynamics (CFD) schemes implemented in FORTRAN using Finite-Volume and Finite-Difference Methods. Sample simulations and figures are provided.

cfd-py icon cfd-py

Python implementation of Finite Volume Method Solver

cfd_fvm icon cfd_fvm

Computational Fluid Dynamics - Finite Volume Method Solver

cfdpython icon cfdpython

A sequence of Jupyter notebooks featuring the "12 Steps to Navier-Stokes" http://lorenabarba.com/

chempy icon chempy

Introductory Python notes from the Chemical Engineering Department at the University of Utah

cholera-haiti-simulations icon cholera-haiti-simulations

The code for the paper "Modelling the Aqueous Transport of an Infectious Pathogen in Regional Communities: Application to the Cholera Outbreak in Haiti"

commen icon commen

Compartmentalised Metapopulation Network

compfluidproj1 icon compfluidproj1

This repository includes the code for my computational fluid dynamics class project to model fluid flow and heat transfer over a 2D surface using the finite volume method.

computational_pop_bio icon computational_pop_bio

R programming work and assignments for Computational Methods in Pop Bio (Winter Quarter 2017 course).

coralzooxprojection icon coralzooxprojection

Adaptive trait dynamics model used to simulate future projections of coral and algae biomasses under low (RCP 2.6), moderate (RCP 4.5) and high (RCP 8.5) warming scenarios.

coralzooxsymb icon coralzooxsymb

Code used for the manuscript "A Trait-Based Model for Describing the Adaptive Dynamics of Coral-Algae Symbiosis"

cs-notes icon cs-notes

:books: 技术面试必备基础知识、Leetcode 题解、Java、C++、Python、后端面试、操作系统、计算机网络、系统设计

cs111 icon cs111

Collection of my MATLAB code for a scientific computing course at UCSB. I used various methods of numerical approximation to obtain solution to ODE and PDE.

datadriven icon datadriven

Data driven modeling for nonlinear reaction-diffusion systems. Used dynamical mode decomposition.

diphtheriarohingya2017 icon diphtheriarohingya2017

Code that was used for simulations of PeerJ study Matsuyama R, Akhmetzhanov AR, et al (2018) "Uncertainty and sensitivity analysis of the basic reproduction number of diphtheria: A case study of Rohingya refugee camp in Bangladesh, November-December 2017" http://dx.doi.org/10.7717/peerj.4583

disease-diffusion-framework icon disease-diffusion-framework

This is a comprehensive framework at a fine scale to establish the disease transmission network and a mathematical model, which constructs "source-sink" links between the imported and indigenous cases on a regular grid with a spatial resolution of 1 km to explore the diffusion pattern and spatiotemporal heterogeneity of imported cases.

drug-book icon drug-book

The drug modeling book by Aslak Tveito and Glenn T. Lines translated to DocOnce.

dynsis-networkx icon dynsis-networkx

Networkx implementation of the SIS epidemic model for large and heterogeneous networks

ebolacontroldynamics icon ebolacontroldynamics

These are some codes from my work Optimal Control for the Transmission Dynamics of Ebola

ebolaforecast2019epidemics icon ebolaforecast2019epidemics

Supporting materials for Akhmetzhanov AR, Lee H, Jung SM, Kayano T, Yuan B, Nishiura H (2019) "Analyzing and forecasting the Ebola incidence in North Kivu, the Democratic Republic of the Congo from 2018-19 in real time" Epidemics

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