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Welcome to my personal website.
This platform presents my research work, ongoing collaborations, and academic activities. Here you will find updates about publications, media features, teaching, supervision and participation in conferences and workshops.

I believe that learning and curiosity drive meaningful progress. Life is too long to remain stuck, but also too short to spend on things that do not move us forward.

Below you can explore a selection of recent research activities, presentations, and scholarly contributions.

Use of machine learning and voice for multiclass classification of Parkinson’s disease, chronic obstructive pulmonary disease, and

Alper Idrisoglu, Anders Behrens
Abstract:Parkinson’s disease (PD) and chronic obstructive pulmonary disease (COPD) are prevalent conditions with substantial impact on quality of life and health care systems. Both disorders affect voice production through different physiological mechanisms, yet neither condition has a widely adopted objective biomarker for routine clinical use. Voice analysis has emerged as…

PhD Defense

Alper
I am delighted to share that I have successfully defended my PhD in Applied Health Technology at Blekinge Institute of Technology (BTH). My research explored how voice can serve as a digital biomarker for assessing chronic obstructive pulmonary disease (COPD) using machine learning. This work contributes to developing non-invasive, data-driven…

Vowel segmentation impact on machine learning classification for chronic obstructive pulmonary disease

Alper Idrisoglu, Ana Luiza Dallora Moraes, Abbas Cheddad, Peter Anderberg, Andreas Jakobsson, Johan Sanmartin Berglund
Abstract:Abstract Vowel-based voice analysis is gaining attention as a potential non-invasive tool for COPD classification, offering insights into phonatory function. The growing need for voice data has necessitated the adoption of various techniques, including segmentation, to augment existing datasets for training comprehensive Machine Learning (ML) modelsThis study aims to investigate…

COPDVD: Automated classification of chronic obstructive pulmonary disease on a new collected and evaluated voice dataset

Alper
Authors: Alper Idrisoglu, Ana Luiza Dallora, Abbas Cheddad, Peter Anderberg, Andreas Jakobsson, Johan Sanmartin Berglund Abstract Background Chronic obstructive pulmonary disease (COPD) is a severe condition affecting millions worldwide, leading to numerous annual deaths. The absence of significant symptoms in its early stages promotes high underdiagnosis rates for the affected…
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