Abdul Qayyum

Background

About Abdul Qayyum

Abdul Qayyum did his PhD in Electrical and Electronics Engineering from Universiti Teknologi PETRONAS, Malaysia 2018. He developed deep learning based algorithms for depth estimation of vegetation, trees near power lines for Tenaga Nasional Berhad (TNB) and Sabah Electric Supply Berhad (SESB) under the ministry of Green, Water and Technology (KeTTHA) Malaysia. He also developed a prototype for Vital signs (heart rate, breathing rate, Sp02) estimation and assessment of stroke and Arterial fibrillation (AF) using face video analytic based on deep leaning models. Earlier, he had completed his Bachelors in Computer Engineering and Master in Electronic Engineering from Pakistan. Besides, he gained one year industrial experience while working as a BSS engineer for Huawei, Pakistan. He had also taught several courses under electrical, specifically, signal processing domain for 7 years in various public and private universities in Pakistan. He was working as a research scientist in CISIR, UTP for less than one year and was developed deep learning algorithms for brain signal (EEG) classification and reconstruction, remote sensing image segmentation and biomedical image analysis. Currently, he is associated with burgundy university France as a Post Doc researcher and working on the cardiac MRI images using deep learning approach. He is also working as a consultant in various projects involving deep learning models in Big Data, Vital Sign Estimation, IoT and BCI applications.