2026 IEEE INTERNATIONAL WORKSHOP

Biomedical Applications, Technologies and Sensors

OCTOBER 15-16, 2026 · NAPLES, ITALY

SPECIAL SESSION #04

AI-Enabled Biomedical Sensors and Systems

ORGANIZED BY

Islam Syed Kamrul Islam

Syed Kamrul Islam

University of Missouri, USA

Shuvo Md Maruf Hossain Shuvo

Md Maruf Hossain Shuvo

The University of Texas at El Paso, USA

Pullano Salvatore Andrea Pullano

Salvatore Andrea Pullano

Magna Graecia University of Catanzaro, Italy

SPECIAL SESSION DESCRIPTION

Artificial intelligence is transforming biomedical sensing from passive data acquisition into intelligent systems that integrate sensing hardware, edge computing, and machine learning, thereby bringing healthcare decision support closer to the point of care. This shift is particularly important for biomedical applications that require real-time interpretation of multimodal sensor data under practical constraints, such as noise and signal artifacts, limited power and memory, and deployment outside controlled laboratory settings. Therefore, translating AI-enabled biomedical sensors into reliable systems requires coordinated innovation across sensing hardware, electronic interfaces, signal processing, embedded intelligence, energy-efficient implementation, privacy preservation, interpretability, and system-level validation.

This special session will focus on recent advances in AI-enabled biomedical sensors and systems for diagnostics, rehabilitation, health monitoring, and personalized clinical decision support. Topics of interest include, but are not limited to, wearable and implantable biomedical sensors, multimodal sensor fusion, sensor networks and IoT-enabled biomedical systems, TinyML and edge-AI for real-time biomedical sensing and instrumentation, explainable and trustworthy AI for sensor-data analytics, privacy-preserving learning, and closed-loop biomedical sensing systems.

ABOUT THE ORGANIZERS

Syed Kamrul Islam (Senior Member, IEEE) received the B.Sc. degree in electrical and electronic engineering from Bangladesh University of Engineering and Technology (BUET), Dhaka, Bangladesh, and the M.S. and Ph.D. degrees in electrical and systems engineering from the University of Connecticut, Storrs, CT, USA. He is currently a Professor and the Chair of the Department of Electrical Engineering and Computer Science (EECS), University of Missouri, Columbia, MO, USA. Before July 2018, he was a James W. McConnell Professor and the Associate Head of the Department of EECS, The University of Tennessee, Knoxville, TN, USA. His research interests include semiconductor devices, analog and mixed-signal circuit design, bio-microelectronics, and circuits and systems for machine learning. In recognition of his teaching, research, and related efforts, he received the John W. Fisher Professorship, the Moses E. and Mayme Brooks Distinguished Professor Award, the Gonzalez Family Award for Excellence in Teaching, the ECE Faculty of the Year Award, and the Alexander Prize.

Md Maruf Hossain Shuvo (Member, IEEE) received the B.Sc. degree in electronics and communication engineering (ECE) from the Khulna University of Engineering and Technology (KUET), Bangladesh, in 2014, and the M.S. degree in electrical engineering and the Ph.D. degree in electrical and computer engineering from the University of Missouri, Columbia, MO, USA, in 2021 and 2024, respectively. Currently, he is an Assistant Professor with the Department of Electrical and Computer Engineering, The University of Texas at El Paso, TX, USA. He was a Lecturer and an Assistant Professor with the ECE Department, KUET, from 2015 to 2019. His research interests include efficient deep learning, edge AI, circuits and systems for AI, biomedical Electronics, and biomedical signal and image analysis. He was a recipient of the Outstanding Ph.D. Student Award and EECS Travel Fellowship Award from the University of Missouri, as well as the Prime Minister’s Gold Medal from the University Grants Commission of Bangladesh and the University Gold Medal from KUET. He is an editorial board member of Discover Computing, a Springer Nature journal.

Salvatore A. Pullano (Senior Member, IEEE) received the B.S. and M.S. degrees in electronic engineering from the University of Calabria, Italy, in 2005 and 2009, respectively, and the Ph.D. degree in biomedical engineering and computer science from University Magna Græcia of Catanzaro, Catanzaro, Italy, in 2013. He is currently an Associate Professor of Electronics at University Magna Græcia of Catanzaro, Catanzaro, Italy, and an Adjunct Assistant Professor with the Department of Electrical Engineering and Computer Science, University of Missouri, Columbia, MO, USA. He was a Visiting Scholar at the University of Tennessee, Knoxville, TN, USA, in 2012, and at the University of Missouri, Columbia, MO, USA, in 2023. He is the author or coauthor of more than 140 journal articles, book chapters, and conference papers, and has contributed to several patent applications and technology disclosures. In recognition of his research and related activities, he received the Young Researcher Award of the Anassilaos Prize, the IEEE-EMBS Fellowship, the Gertner Institute/IEEE Nanotechnology Council Travel Grant, and the First Prize “Innovative Design Idea for Young University.”