Skip to content

HOME

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.

Feature Analysis of the Vowel [a:] in Individuals With Chronic Obstructive Pulmonary Disease and Healthy ControlsSUMMARY

Alper
SUMMARY Background In addition to impairing the lung function, chronic obstructive pulmonary disease (COPD) also affects phonatory characteristics. Recent research highlights the potential of voice as a digital biomarker to support clinical decision-making. While machine learning (ML) can detect disease patterns from acoustic features, clinical relevance requires understanding the relationship…

Media Highlights: Voice-Based Digital Biomarkers Featured on SVT and P4 Blekinge

Alper
I am pleased to share that my research on voice as a digital biomarker for chronic obstructive pulmonary disease (COPD) has recently been featured in both SVT Nyheter Blekinge and Sveriges Radio P4 Blekinge. Together with colleagues at the Health & Technology Research Lab, Blekinge Institute of Technology (BTH), I…

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…

Perceptions of International Students in a Higher Education Institute in Sweden

Alper Idrisoglu, Saleh Javadi
Abstract:The process of internationalising higher education brings about numerous benefits f or t eaching a nd l earning activities. It fosters an extensive exchange of information that extends beyond national borders. Nonetheless, achieving an acceptable standard of quality to meet the expectations of international students necessitates diligent feedback and inquiry…
Let's Chat