Expected by: 01 September 2023
Cognitive Sensing Technologies and Applications
Cognitive sensing systems combined with IoTs and smart technologies are used in countless applications such as industrial robotics, computer-aided diagnosis, brain-computer interface (BCI), human-computer interaction (HCI), telemedicine, driverless cars and smart energy systems.
With contributions from an international team of experts from a wide range of research areas including sensing, computer vision, signal processing and device and control applications, this book highlights the emerging role of cognitive sensors in a growing number of real time applications including smart health, smart cities, smart transportation and smart agriculture.
The volume will be suitable for a broad audience of researchers in the fields of smart sensing, signal processing, automation and robotics, environmental engineering, energy engineering, biomedical engineering and allied disciplines where smart sensors are part of the curriculum.
About the Editors
G.R. Sinha is an adjunct professor at the International Institute of Information Technology Bangalore (IIITB) India. He has been a visiting professor in University of Saanio Italy and National Chung Hsing University Taiwan for short-term courses. His research interests include cognitive science, computer vision, medical image processing and ICT tools. He has published 280 research papers, book chapters and books.
Bidyadhar Subudhi is a professor at the School of Electrical Sciences and Dean (R&D) of the Indian Institute of Technology (IIT), Goa, India. He is a fellow of the Indian National Academy of Engineering, IET (UK), and distinguished speaker for ACM. His research interests include System & Control, AI & Machine Learning. He has supervised 40 PhD students, published 164 peer reviewed journal papers, 110 papers in conference proceedings, 14 book chapters and 6 books.
Chih-Peng Fan is a full professor in the Department of Electrical Engineering at the National Chung Hsing University, Taiwan. His research interests include deep-learning for digital image processing and pattern recognition, digital video coding and processing, digital baseband transceiver design, VLSI design for digital signal processing, and fast prototype of DSP systems with FPGA-based and embedded SOC platforms. He has over 100 publications, including technical journals, technical reports, book chapters, and conference papers.
Humaira Nisar is a full professor and head of the Master of Engineering (Electronic Systems) Programme in the Department of Electronic Engineering at the Universiti Tunku Abdul Rahman, Malaysia. Her research interests include signal and image processing, image analysis for wastewater treatment, biomedical imaging, neuro-signal processing and analysis, brain computer interface, and neurofeedback. She has over 200 reserach publications including international journal and conference papers, and book chapters. She has also edited 5 books.
G.R. Sinha, Bidyadhar Subudhi, Chih-Peng Fan, Humaira Nisar