Hamidur Rahman is working as a researcher at School of Innovation, Design and Engineering (IDT) in Mälardalen University, Sweden. He finished his PhD degree in April 2021.
Hamidur's main research area is Artificial Intelligence inclusing machine learning, deep learning and computer vision. He has been conducting research from 2015 and developed methods for non-contact vision-based solutions for driver's health monitoring.
In his Ph.D. thesis, he has used the driver’s facial image sequence to extract physiological parameters for the identification of driver cognitive load. The significant contributions of his thesis include data collection using a non-contact sensor (i.e., camera sensor), feature extraction using facial images, and the development of machine learning and deep learning models for cognitive load classification. He has also worked on other projects such as INVIP: Indoor navigation for visually impaired using deep learning, Into DeeP: Deep learning for industrial applications, and HR R-peak detection quality index analysis: Non-contact based heart rate R-peak detection using facial image sequence. He worked on the 3D-image reconstruction for forwarding camera motion In his master's thesis, .
During his doctoral study, he has worked on several projects collaborated with the Volvo Car, Toyota Europe, The Swedish National Road and Transport Research Institute (VTI), SenseAir, Autoliv, Karolinska Institute, Prevas, and Anpasarna. He has published scientific articles in international journals and both international and national conferences. He is also involved in teaching and developing courses and course materials. He has experience supervising bachelor and master student’s thesis.
Deep Learning in Remote Sensing: An Application to Detect Snow and Water in Construction Sites (Sep 2021) Hamidur Rahman, Mobyen Uddin Ahmed, Shahina Begum, Mats Fridberg, Adam Hoflin 4th International Conference on Artificial Intelligence for Industries (ai4i 2021)
Machine Learning for Cognitive Load Classification – a Case Study on Contact-free Approach (Aug 2020) Mobyen Uddin Ahmed, Shahina Begum, Rikard Gestlöf , Hamidur Rahman, Johannes Sörman 16th International Conference on Artificial Intelligence Applications and Innovations (AIAI 2020)
A Vision based Indoor Navigation System for Individual with Visual Impairment (May 2020) Mobyen Uddin Ahmed, Mohammed Ghaith Altarabichi, Shahina Begum, Fredrik Ginsberg , Robert Glaes , Magnus Östgren , Hamidur Rahman, Magnus Sörensen International Journal of Artificial Intelligence (IJAI)
Non-contact-based Driver's Cognitive Load Classification using Physiological and Vehicular Parameters (Nov 2019) Hamidur Rahman, Mobyen Uddin Ahmed, Shaibal Barua, Shahina Begum Biomedical Signal Processing and Control (BSPC)
Non-contact Physiological Parameters Extraction using Facial Video considering Illumination, Motion, Movement and Vibration (May 2019) Hamidur Rahman, Mobyen Uddin Ahmed, Shahina Begum IEEE Transactions on Biomedical Engineering (TBME)
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)
|AproC, Automated Process Control||finished|
|HR R-peak detection quality index analysis||finished|
|INVIP: Indoor Navigation for Visual Impairment Persons using Computer Vision and Machine learning||finished|
|SafeDriver: A Real Time Driver's State Monitoring and Prediction System||finished|
|SimuSafe : Simulator of Behavioural Aspects for Safer Transport||active|
|TRANSPARENT ARTIFICIAL INTELLIGENCE AND AUTOMATION TO AIR TRAFFIC MANAGEMENT SYSTEMS||active|
|Deep Learning based Eye Tracking and Head Movement Detection||available|
|Remote monitoring of physiological parameters using facial images||available|
|Smart Mirror to monitor Health Status using Biological Signals||available|
|Human Emotion Detection using Deep Learning||in progress|