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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

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…

Research Featured in Svenska Dagbladet

Research Featured in Svenska Dagbladet

Alper

Source: SVD

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

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…

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

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

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…