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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…

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…

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…

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…
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