Haydar Demirhan

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Senior Lecturer

Royal Melbourne Institute of Technology

Australia

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About

Haydar Demirhan is a Senior Lecturer at the Royal Melbourne Institute of Technology in Australia. His research focuses on areas such as fuzzy logic applications in classification and clustering, deep learning techniques for agricultural yield predictions, and epidemiological modelling. He has contributed to significant studies evaluating vaccination campaigns and the impact of climate change on agriculture, as well as developing frameworks for fraud detection and real estate price prediction.

Recent Grants

Grant: Close

Determination of Statistical Performance of Tests Used to Examine Cryptographic Randomness

Open Date: 2014-10-01

Close Date:

Grant: Close

Hacettepe University Senate Incentive Award in Science

Open Date: 2013-01-01

Close Date:

Grant: Close

Bayesian Approaches to the Mixed Logarithmic Linear Models

Open Date: 2006-01-01

Close Date: 2009-01-01

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Collaborators (4)

Lewi Stone

RMIT University

AUSTRALIA

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Yan Wang

Associate Professor

RMIT University

AUSTRALIA

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Du Yong Kim

Curtin University

AUSTRALIA

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Anil Barak Dolgun

Lecturer

RMIT University

AUSTRALIA

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Haydar Demirhan

Research Interests

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Contact this professor

About

Recent Grants

Articles (20)

Binary classification with Fuzzy-Bayesian logistic regression using Gaussian fuzzy numbers

A deep learning framework for prediction of crop yield in Australia under the impact of climate change

Evaluating the effectiveness of vaccination campaigns: Insights from unvaccinated mortality data

Mixed fuzzy C-means clustering

The 1978 English boarding school influenza outbreak: where the classic SEIR model fails

An online fuzzy fraud detection framework for credit card transactions

Hierarchical fuzzy regression functions for mixed predictors and an application to real estate price prediction

JAGS model specification for spatiotemporal epidemiological modelling

Assessing the impact of Australia’s mass vaccination campaigns over the Delta and Omicron outbreaks

A Monte Carlo fuzzy logistic regression framework against imbalance and separation

Resolving the enigma of Iquitos and Manaus: A modeling analysis of multiple COVID-19 epidemic waves in two Amazonian cities

Solving the Datum Search as a Partially Observed Stochastic Game

Inferring extinction date of a species using non‐homogeneous Poisson processes with a change‐point

The impact of grey zones on the accuracy of agreement measures for ordinal tables

Bayesian approaches to the weighted kappa-like inter-rater agreement measures

Inferring extinction year using a Bayesian approach

Weighted inter-rater agreement measures for ordinal outcomes

Fuzzy regression functions with a noise cluster and the impact of outliers on mainstream machine learning methods in the regression setting

Impact of increasing temperature anomalies and carbon dioxide emissions on wheat production

dLagM: An R package for distributed lag models and ARDL bounds testing

Collaborators (4)

Lewi Stone

Yan Wang

Du Yong Kim

Anil Barak Dolgun

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