I am currently working as a Lecturer in the Department of Electrical and Electronic Engineering at Ahsanullah University of Science and Technology (AUST), Dhaka, Bangladesh. My research interests include biomedical optics, medical imaging, signal processing, and machine learning and deep learning for healthcare. I am particularly interested in developing methods for non-contact physiological measurement and analysing biomedical images and signals to support healthcare research.

Between 2023 and 2025, I pursued the Erasmus Mundus Joint Master’s Degree in Medical Imaging and Applications (MAIA) with an Erasmus Mundus scholarship. The programme was co-ordinated by three European universities: the University of Girona in Spain, Université Bourgogne Europe in France, and the University of Cassino and Southern Lazio in Italy. Studying across different academic and cultural environments strengthened my interest in interdisciplinary research connecting engineering, computing, and medical diagnosis.

In 2025, I worked as a Graduate Research Intern at the Laboratoire Imagerie et Vision Artificielle (ImViA) in Dijon, France, under the supervision of Prof. Yannick Benezeth. My master’s thesis, “Design and Validation of Multimodal and Lightweight Handheld ST-rPPG Acquisition Systems for Physiological Measurements,” explored camera-based approaches to measuring physiological information. I investigated heart-rate estimation and the spatial distribution of microvascular perfusion from wrist videos, examining how polarization, spectral filtering, and motion compensation influence measurement quality. This research led to our publication on vascular perfusion mapping and heart-rate estimation in Biomedical Physics & Engineering Express.

Before my master’s studies, I completed my B.Sc. in Electrical and Electronic Engineering at AUST in 2021, graduating first in my class. I received the Khan Bahadur Ahsanullah Padak, in 2025 for my undergraduate academic achievement. My undergraduate thesis focused on pattern recognition through the development of a Raspberry Pi-based speaker recognition system, providing an early foundation in signal processing, machine learning, and embedded implementation.

I first joined AUST as a Lecturer in 2021 and taught until 2023 before pursuing my master’s studies in Europe. I returned to AUST in August 2025 as a Lecturer. Earlier in my academic career, I also worked as a Teaching Assistant at East Delta University. Alongside teaching, my research has included EEG analysis, computer-aided medical diagnosis, and image classification, with publications in reputed journals. My current work continues to explore how learning-based methods and imaging technologies can address practical biomedical problems.

I enjoy making technical ideas easier to understand through practical examples, programming exercises, and interactive learning tools. I develop educational web applications and laboratory activities that help students connect mathematical concepts with observable results. Beyond teaching and research, I served as Treasurer of the AUST Career Development Club in 2022, 2026 and previously served as Vice President of the AUST EEE Society in 2020. Outside academia, I enjoy travelling, photography, graphic design, basketball, and table tennis. I welcome opportunities to collaborate on biomedical imaging, physiological sensing, and AI for healthcare.