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.
Media Highlights: Voice-Based Digital Biomarkers Featured on SVT and P4 Blekinge
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…
PhD Defense
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…
Prediction of Mini-Mental State Examination Scores for Cognitive Impairment and Machine Learning Analysis of Oral Health and Demographic Data Among Individuals Older Than 60 Years: Cross-Sectional Study
Prediction of Mini-Mental State Examination Scores for Cognitive Impairment and Machine Learning Analysis of Oral Health and Demographic Data Among Individuals Older Than 60 Years: Cross-Sectional Study
Alper Idrisoglu, Johan Flyborg, Sarah Nauman Ghazi, Elina Mikaelsson Midlöv, Helén Dellkvist, Anna Axén, Ana Luiza Dallora
Abstract Background:As the older population grows, so does the prevalence of cognitive impairment, emphasizing the importance of early diagnosis. The Mini-Mental State Examination (MMSE) is vital in identifying cognitive impairment. It is known that degraded oral health correlates with MMSE scores ≤26. Objective:This study aims to explore the potential of…
Vowel segmentation impact on machine learning classification for chronic obstructive pulmonary disease
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
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…