
Applied Machine Learning on Sensing Technologies
$392.64
- Hardcover
224 pages
- Release Date
20 May 2026
Summary
This book explores applied machine learning and deep learning in the field of sensing, vision and sensor-based applications. It includes a series of methodologies, exploration of new applications, presentations on relevant datasets, challenging applications, guidelines, ideas and future scopes. Edited by leading experts in these arenas, the book will be of great interest to academic researchers, graduate students and industry professionals in the fields of machine learning, deep learning, AI,…
Book Details
| ISBN-13: | 9781032766423 |
|---|---|
| ISBN-10: | 1032766425 |
| Author: | Md Atiqur Rahman Ahad, Anton Nijholt, Md Abdus Samad Kamal, Björn Schuller, Matthew A. Turk |
| Publisher: | Taylor & Francis Ltd |
| Imprint: | CRC Press |
| Format: | Hardcover |
| Number of Pages: | 224 |
| Release Date: | 20 May 2026 |
| Weight: | 0g |
| Dimensions: | 234mm x 156mm |
| Series: | Ubiquitous Computing, Healthcare and Well-being |
What They're Saying
Critics Review
“This book highlights the cutting-edge research that bridges theoretical advancements with impactful real-world applications. Edited by a highly accomplished team, they have together ensured a well-rounded and visionary exploration of this evolving field. A defining strength of this volume lies in its focus on methodological advancements. Chapters explore cutting-edge techniques, showcasing their practical utility in diverse domains. By applying these advanced methodologies to real-world problems, the book offers readers a clear understanding of both current trends and future opportunities in the field. This volume offers a comprehensive and forward-looking perspective on the integration of machine learning with sensing technologies. It will undoubtedly inspire researchers and practitioners to push the boundaries of what is possible, transforming these innovations into solutions that shape the future.”
–Professor Philip H. S. Torr, University of Oxford, UK
About The Author
Md Atiqur Rahman Ahad
Md Atiqur Rahman Ahad is a Professor of Artificial Intelligence (AI) at the University of East London (UEL). He also holds positions as Guest Professor at Kyushu Institute of Technology (KyuTech), Japan, and Visiting Academic Staff at The University of Osaka, Japan. He is an Associate Staff Member at the Rix Inclusive Research Institute, UEL, and an Expert Contributor & Member of the Safer Agentic AI Criteria Development Community of Practice.
His research focuses on AI in healthcare (antimicrobial resistance, Parkinson’s Disease, well-being, rehabilitation, autism), AI & cyber safety, and gait-biometrics. He holds a Ph.D. from KyuTech, an MCompSc from UNSW, and a BSc (Honors) and MSc from the University of Dhaka. He has received numerous awards and recognitions, secured grants from significant bodies, and authored/edited multiple books and research papers. Ahad has a extensive record of keynote and invited speaking engagements and has supervised a large number of Ph.D. students and researchers. He serves as an Associate Editor for Pattern Recognition and is on the Editorial Board of Scientific Reports, Nature. He will serve as General Chair for the 8th Intl. Conf. on Activity & Behavior Computing (ABC) in 2026. His leadership aims to enhance interdisciplinary research, improve performance metrics, and translate academic achievements into societal benefits.
Anton Nijholt is interested in non-traditional human-computer interaction, including irrational behavior, deception, food, and humor. His research spans entertainment computing, augmented reality, brain-computer interfacing, multimodal interaction, affective interaction, and modeling interactions in smart environments.
He has held key roles in major international conferences related to affective computing, entertainment computing, virtual agents, and gesture recognition. Nijholt has also organized numerous workshops on related topics. He has edited several books, including Playable Cities: The City as a Digital Playground, Making Smart Cities more Playable, and Brain Art: Brain-Computer Interfaces for Artistic Expression.
Nijholt has held academic positions in Belgium and the Netherlands and supervised approximately fifty Ph.D. students. He previously served as a scientific advisor for Philips Research and as a research fellow at various institutions globally. He is currently Chief Editor of the “Human-Media Interaction” section of Frontiers in Psychology and Frontiers in Computer Science, and series editor of Gaming Media and Social Effects.
Md Abdus Samad Kamal works at the Cluster of Electronics and Mechanical Engineering, Graduate School of Science and Technology, Gunma University, Japan.
Björn Schuller is a Full Professor of Artificial Intelligence and Head of the Group on Language, Audio, & Music (GLAM) at Imperial College London, UK. He also holds a Full Professor and Chair position in Embedded Intelligence for Health Care and Wellbeing at the University of Augsburg, Germany. He is a co-founding CEO and CSO of audEERING, an audio intelligence company. He is also a Permanent Visiting Professor at Harbin Institute of Technology, China, among other affiliations.
Schuller has held previous professorships at the University of Passau, Germany, and worked as a Key Researcher at Joanneum Research in Graz, Austria, and at CNRS-LIMSI in Orsay, France. He is a Fellow of the IEEE and BCS, a Golden Core Awardee of the IEEE Computer Society, a Fellow of the ISCA, a Fellow and President-Emeritus of the AAAC, and a Senior Member of the ACM. He has authored over 1,000 publications with significant citations and an h-index exceeding 100. He is Field Chief Editor of Frontiers in Digital Health and was Editor-in-Chief of the IEEE Transactions on Affective Computing. Schuller has received over 40 awards, including recognition as one of the World Economic Forum’s 40 extraordinary scientists under 40. He has initiated and organized numerous challenges in affective computing and sentiment analysis. He is an ERC Starting and DFG Reinhart-Koselleck Grantee and has consulted for various major companies.
Matthew A. Turk is the third President of Toyota Technological Institute at Chicago (TTIC). He earned a Ph.D. from the Massachusetts Institute of Technology, an MS from Carnegie Mellon University, and a BS from Virginia Tech. Prior to joining TTIC, he was a full professor at the University of California, Santa Barbara, where he remains Professor Emeritus.
Turk’s primary research interests lie in computer vision, machine learning, augmented and mixed reality, and human-computer interaction. He has received several best paper awards and has served as general or program chair for prominent conferences in computer vision and multimodal interaction.
He has a diverse background encompassing academia, industry, and entrepreneurship. Turk co-founded the Vision Technology Group at Microsoft Research and has industry experience from a Silicon Valley startup and a large aerospace company. He co-founded a startup company that was acquired in 2016. He is a Fellow of the ACM, IEEE, and IAPR, and has held the Fulbright-Nokia Distinguished Chair in Information and Communications Technologies.
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