Advising

PhD

• Mohammad Belal (co-advised by Juhi Kulshrestha), since July 2023
• Yunhao Yuan, since January 2023
• Annasofia Martikkala (co-advised by Erkki Isometsä and Ilya Baryshnikov), since April 2022
• Nguyen Luong, since November 2021
• Arsi Ikäheimonen, since October 2021

MSc

• Emilia Marchese (co-advised by Juhi Kulshrestha) “Depression and Suicide Risk Detection From Internet Usage Traces”
• Abdullah Gunay “Modelling of sleep behaviors of patients with mood disorders”
• Kai Yao (co-advised by Arsi Ikäheimonen) “Automatic Facial Expression Recognition in the Presence of Speech”
• Amirmohammad Ziaei Bideh “Exploring behavioral patterns of patients with mental disorders using the MoMo-Mood dataset”
• Yunhao Yuan (co-advised by Barbara Keller) “Mental health coping stories on social media: a casual-inference study of Papageno effect”
• Rico Pircklén (co-advised by Ted Hsuan Yun Chen) “Quantification of change in online activity patterns through the course of the COVID-19 pandemic”
• Anna Hakala (co-advised by Aris Gionis) “Classification of patients with depression and healthy controls based on behavioural patterns acquired from smartphone sensor data”

This list does not include MSc theses completed in collaboration with industry.

BSc

• Fathima Afrooz Abdul Mahir (co-advised by Nguyen Luong) “Evaluation of Sleep Quality From Passive Data”
• Riku Tikkanen “Time series anomaly detection methods for smartphone sensor-based mental health care”
• Henri Ahti “Digitalization of peer support for substance use disorders”
• Lauri Anttila “Machine learning in psychiatry: prediction and detection of mood disorders”
• Samuel Sihvonen “The Methods of Machine Learning in the Prediction of Symptoms for Mood Disorders”
• Simo Antikainen “Visualization of human behaviour data for healthcare”