Mohammad Enamul Hoque Chowdhury
Talk Title & Abstract Wearables and AI will be the Game Changer in Digital Healthcare Wearable sensing technologies—powered by advanced AI models—are redefining continuous health monitoring and transforming digital healthcare. This talk presents a series of innovations developed by our research team, spanning clinical-grade physiological signal reconstruction, blind ECG restoration, atrial fibrillation detection, and real-time Holter monitoring systems. We introduce the first framework for reconstructing finger-grade photoplethysmography (fPPG) signals from motion-corrupted wrist PPG (wPPG) using a cascaded 1D-CycleGAN architecture, demonstrating significant improvements in heart-rate estimation accuracy. We further discuss a CycleGAN-based blind ECG restoration method trained on natural Holter recordings, enabling accurate recovery of artifact-corrupted ECG segments in real-world settings. The presentation also highlights our development of Cardiac-Zone, the world’s first lightweight, real-time wearable Holter system capable of wireless ECG streaming and cloud-based arrhythmia detection. Additional results include robust AFib detection from reconstructed wrist-PPG signals, and a novel approach for beat-to-beat non-invasive blood pressure estimation using wearable sensors. Collectively, these works demonstrate how AI-enhanced wearables can deliver clinical-grade accuracy, overcome limitations of traditional optical sensors, and pave the way for scalable, non-invasive continuous monitoring solutions. This talk outlines both the technical innovations and the broader opportunities and challenges in deploying AI-driven wearable systems for next-generation digital healthcare. Biography Muhammad E. H. Chowdhury received his Ph.D. from the University of Nottingham, U.K., in 2014, followed by a Postdoctoral Research Fellowship at the Sir Peter Mansfield Imaging Centre. He is currently an Associate Professor and Program Coordinator in the Department of Electrical Engineering at Qatar University. Dr. Chowdhury has an extensive research portfolio, including 10 patents, more than 350 peer-reviewed journal articles, 30+ conference papers, several book chapters, and 4 edited books, with over 16,000 citations and an h-index of 57 on Google Scholar. His research expertise spans biomedical instrumentation, signal processing, wearable sensing, medical image analysis, machine learning, computer vision, embedded systems, and simultaneous EEG/fMRI. He leads multiple major research projects (~USD 6M) funded by the Qatar Research, Development and Innovation Council (QRDI) and Qatar University, and collaborates with institutions such as HBKU and HMC. He is a Senior Member of IEEE and serves as an Associate Editor for Computers and Electrical Engineering and IEEE Access, as well as a Topic Editor/Review Editor for Frontiers in Neuroscience. Dr. Chowdhury’s contributions have earned several notable awards, including the COVID-19 Dataset Award, the AHS Award from HMC, and the National AI Competition Award. His team also received a gold medal at the 13th International Invention Fair in the Middle East (IIFME). He has been named among the Top 2% most influential scientists globally (2022-2025) by Stanford University.
Talk Title & Abstract
Wearables and AI will be the Game Changer in Digital Healthcare
Wearable sensing technologies—powered by advanced AI models—are redefining continuous health monitoring and transforming digital healthcare. This talk presents a series of innovations developed by our research team, spanning clinical-grade physiological signal reconstruction, blind ECG restoration, atrial fibrillation detection, and real-time Holter monitoring systems. We introduce the first framework for reconstructing finger-grade photoplethysmography (fPPG) signals from motion-corrupted wrist PPG (wPPG) using a cascaded 1D-CycleGAN architecture, demonstrating significant improvements in heart-rate estimation accuracy. We further discuss a CycleGAN-based blind ECG restoration method trained on natural Holter recordings, enabling accurate recovery of artifact-corrupted ECG segments in real-world settings. The presentation also highlights our development of Cardiac-Zone, the world’s first lightweight, real-time wearable Holter system capable of wireless ECG streaming and cloud-based arrhythmia detection. Additional results include robust AFib detection from reconstructed wrist-PPG signals, and a novel approach for beat-to-beat non-invasive blood pressure estimation using wearable sensors. Collectively, these works demonstrate how AI-enhanced wearables can deliver clinical-grade accuracy, overcome limitations of traditional optical sensors, and pave the way for scalable, non-invasive continuous monitoring solutions. This talk outlines both the technical innovations and the broader opportunities and challenges in deploying AI-driven wearable systems for next-generation digital healthcare.
Biography
Muhammad E. H. Chowdhury received his Ph.D. from the University of Nottingham, U.K., in 2014, followed by a Postdoctoral Research Fellowship at the Sir Peter Mansfield Imaging Centre. He is currently an Associate Professor and Program Coordinator in the Department of Electrical Engineering at Qatar University. Dr. Chowdhury has an extensive research portfolio, including 10 patents, more than 350 peer-reviewed journal articles, 30+ conference papers, several book chapters, and 4 edited books, with over 16,000 citations and an h-index of 57 on Google Scholar. His research expertise spans biomedical instrumentation, signal processing, wearable sensing, medical image analysis, machine learning, computer vision, embedded systems, and simultaneous EEG/fMRI. He leads multiple major research projects (~USD 6M) funded by the Qatar Research, Development and Innovation Council (QRDI) and Qatar University, and collaborates with institutions such as HBKU and HMC. He is a Senior Member of IEEE and serves as an Associate Editor for Computers and Electrical Engineering and IEEE Access, as well as a Topic Editor/Review Editor for Frontiers in Neuroscience. Dr. Chowdhury’s contributions have earned several notable awards, including the COVID-19 Dataset Award, the AHS Award from HMC, and the National AI Competition Award. His team also received a gold medal at the 13th International Invention Fair in the Middle East (IIFME). He has been named among the Top 2% most influential scientists globally (2022-2025) by Stanford University.