Hamidur Rahman is a doctoral (PhD) student since November, 2015 in Intelligent Systems group of Innovation, Design and Engineering (IDT) in Mälardalens University. He finished his Licentiate degree in June 2018. The title of his Licentiate Thesis was An Intelligent Non-Contact based Approach for Monitoring Driver’s Cognitive Load.
Hamidur's research interest includes Big data, Machine Learning, Deep Learning, Signal Processing, Image Processing and Computer Vision. He has been working to develop non-contact based system based on camera images/videos using machine learning technology for real life applications such as driver monitoring and personal health care.
Quality Index Analysis on Camera-based R-peak Identification Considering Movements and Light Illumination (Jun 2018) Mobyen Uddin Ahmed, Hamidur Rahman, Shahina Begum 15th International Conference on Wearable, Micro & Nano technologies for Personalized Health (pHealth2018)
Vision-Based Remote Heart Rate Variability Monitoring using Camera (Oct 2017) Hamidur Rahman, Mobyen Uddin Ahmed, Shahina Begum 4th EAI International Conference on IoT Technologies for HealthCare (HealthyIoT'17)
Deep Learning based Person Identification using Facial Images (Oct 2017) Hamidur Rahman, Mobyen Uddin Ahmed, Shahina Begum 4th EAI International Conference on IoT Technologies for HealthCare (HealthyIoT'17)
Sources of Variation Analysis in Fixtures for Sheet Metal Assembly Process (Oct 2016) Ivan Tomasic, Ilker Erdem , Hamidur Rahman, Alf Andersson , Peter Funk Swedish Production Symposium 2016 (SPS 2016)
Inline Process Control – a concept study of efficient in-line process control and process adjustment with respect to product geometry (Oct 2016) Alf Andersson , Ilker Erdem , Peter Funk, Hamidur Rahman, Henrik Kihlman , Kristofer Bengtsson , Petter Falkman , Johan Torstensson , Johan Carlsson , Michael Scheffler , Stefan Bauer , Joachim Paul , Lars Lindkvist , Per Nyqvist Swedish Production Symposium 2016 (SPS 2016)
|HR R-peak detection quality index analysis||finished|
|INVIP: Indoor Navigation for Visual Impairment Persons using Computer Vision and Machine learning||active|
|SafeDriver: A Real Time Driver's State Monitoring and Prediction System||active|
|SALUTOGEN - Seniors’ Activity and quality of Life sUpported by Technology thrOugh deliGht, Engagement and iNterest||active|
|Deep Learning based Eye Tracking and Head Movement Detection||available|
|Smart Mirror to monitor Health Status using Biological Signals||available|
|Human Emotion Detection using Deep Learning||in progress|