Special Session 5

SPECIAL SESSION #5

Syed Kamrul Islam

University of Missouri, USA

• islams@missouri.edu

Mohammad Rafiqul Haider

University of Missouri, USA

• mhaider@missouri.edu

Wearable and implantable sensors are integral to a multitude of sectors, including medical, military, healthcare, sports, entertainment, biosensing, remote monitoring, and situational awareness. With advancements in nanotechnology, the development of miniaturized sensor systems is on the rise, paving the way for the emergence of internet-connected devices, commonly referred to as IoT, which will facilitate the next generation of connected communities. However, the proliferation of a large volume of sensors presents a significant challenge in terms of data augmentation for real-time sensing, data acquisition, and in-situ processing. The rise of artificial intelligence (AI) and AI-enablers for compact hardware solutions offers a pathway to establish reliable sensor systems, even amidst network disruptions and cloud connectivity issues.

This special session aims to showcase cutting-edge advancements in the design and development of sensor and instrumentation systems that incorporate AI-enablers for in-situ sensing, data collection, processing, and real-time decision-making. We invite submissions in the following areas, though not limited to:

• Low-power sensing and edge computing;
• Flexible sensors and machine learning architectures;
• Integrated circuits and systems for machine learning hardware;
• Innovative sensing and AI-enhanced decision-making;
• Innovative hardware intelligence for sensor instrumentation, among others.

Syed Kamrul Islam received B.Sc. degree in electrical and electronic engineering from Bangladesh University of Engineering and Technology (BUET), Dhaka, and the M.S. and Ph.D. degrees in electrical and systems engineering from the University of Connecticut, Storrs. He is currently serving as Professor and Chair of the Department of Electrical Engineering and Computer Science at the University of Missouri. His research interests include analog/mixed-signal integrated circuits, semiconductor devices, nanotechnology, bio-microelectronics and monolithic sensors. He has more than 100 publications in refereed journals, more than 150 papers in conference proceedings, and several invited talks. He also co-authored a book and 14 book chapters. Prior to joining the Department of Electrical Engineering and Computer Science at the University of Missouri in July 2018, he served as James W. McConnell Professor and Associate Head of the Department of Electrical Engineering and Computer Science at the University of Tennessee. In recognition of his teaching, research and related efforts at the University of Tennessee he received John W. Fisher Professorship, Eta Kappa Nu Outstanding Teacher Award, Moses E. and Mayme Brooks Distinguished Professor Award, College of Engineering Research Fellow Award, The Gonzalez Family Award for Excellence in Teaching, Tickle College of Engineering Teaching Fellow, University of Tennessee Citation for Research and Creative Achievement, Electrical and Computer Engineering Faculty of the year award and the Alexander Prize.

Mohammad Rafiqul Haider earned his B.Sc. and M.Sc. degrees in 2002 and 2004, respectively, from Bangladesh University of Engineering and Technology (BUET), the top-ranked engineering university in Bangladesh. He completed his PhD degree in Electrical and Computer Engineering from the University of Tennessee at Knoxville in 2008. Currently, Dr. Haider holds the position of Associate Professor in the Department of Electrical Engineering and Computer Science at the University of Missouri (MIZZOU), Columbia, MO. Previously, Dr. Haider served at the University of Alabama at Birmingham (UAB), AL, USA, and the Sonoma State University, Rohnert Park, CA, USA. Dr. Haider's research interests encompass the design, simulation, and experimental validation of low-power analog and radio-frequency integrated circuits and systems. His work focuses on various areas such as short-range wireless telemetry, energy-efficient neuromorphic circuits and systems, machine learning for sensors and systems, analog orthogonal pulse-based spectrum-efficient high-density wireless data telemetry, and inkjet-printed nanoparticle-based flexible sensors and electronics for in-situ alternative computing. With a prolific publication record, Dr. Haider has authored more than 130 articles in international journals and conference proceedings. Moreover, Dr. Haider has co-authored a book titled "Sensors and Low-Power Signal Processing" (ISBN: 978-0-387-79391-7), contributed to two book chapters, and disclosed three patents. His research endeavors have received funding from notable institutions including the National Science Foundation (NSF), National Cooperative Highway Research Program (NCHRP), USA Army, Kidney-X, and local agencies.