Handbook of Human-Machine Systems Insightful and cutting-edge discussions of recent developments in human-machine systems
In Handbook of Human-Machine Systems, a team of distinguished researchers delivers a comprehensive exploration of human-machine systems (HMS) research and development from a variety of illuminating perspectives. The book offers a big picture look at state-of-the-art research and technology in the area of HMS. Contributing authors cover Brain-Machine Interfaces and Systems, including assistive technologies like devices used to improve locomotion. They also discuss advances in the scientific and engineering foundations of Collaborative Intelligent Systems and Applications.
Companion technology, which combines trans-disciplinary research in fields like computer science, AI, and cognitive science, is explored alongside the applications of human cognition in intelligent and artificially intelligent system designs, human factors engineering, and various aspects of interactive and wearable computers and systems. The book also includes:
- A thorough introduction to human-machine systems via the use of emblematic use cases, as well as discussions of potential future research challenges
- Comprehensive explorations of hybrid technologies, which focus on transversal aspects of human-machine systems
- Practical discussions of human-machine cooperation principles and methods for the design and evaluation of a brain-computer interface
Perfect for academic and technical researchers with an interest in HMS, Handbook of Human-Machine Systems will also earn a place in the libraries of technical professionals practicing in areas including computer science, artificial intelligence, cognitive science, engineering, psychology, and neurobiology.
Über den Autor Giancarlo (Hrsg.) Fortino
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Giancarlo Fortino (SM'12) is Full Professor of Computer Engineering at the Dept. of Informatics, Modeling, Electronics, and Systems of the University of Calabria (Unical), Italy. He received a Ph.D. in Computer Engineering from Unical in 2000. He is also Distinguished Professor at Wuhan University of Technology and Huazhong Agricultural University (China), High-End Expert at HUST (China), Senior Research Fellow at the Italian ICAR-CNR Institute, CAS PIFI Visiting Scientist at SIAT-Shenzhen, and Distinguished Lecturer for IEEE Sensors Council. He is Web of Science Highly Cited Researcher 2020. His research interests include wearable computing systems, e-Health, Internet of Things, and agent-based computing. He is currently the scientific responsible of the Digital Health group of the Italian CINI National Laboratory at Unical. He is Author of 500+ papers in int'l journals, conferences, and books.Dr. Akshi Kumar is Senior Lecturer-Data Science and AI in the Department of Computing & Mathematics, Faculty of Science & Engineering, Manchester Metropolitan University, UK. She is Post-doc from Federal Institute of Education, Science and Technology of Ceará, Fortaleza, Brazil and a Ph.D. from Faculty of Technology, University of Delhi, India. She has worked as Associate Professor at the Netaji Subhas University of Technology (NSUT), New Delhi, India, and as Assistant Professor at the Delhi Technological University (DTU), New Delhi, India, and has a total teaching and research experience of 16 years. She has published more than 85 peer-reviewed journal papers including 50 SCIE publications, 65+ conference papers with 4 best paper awards and 2 patents with Indian Patent Office. She has successfully guided 7 doctorates, 33 Master thesis candidates. She has been serving as Associate Editor and Guest Editor in various high impact journals with reputed publishers.Prof. (Dr.) Abhishek Swaroop completed his B.Tech. (CSE) from GBP University of Agriculture & Technology, M.Tech. from Punjabi University Patiala, and Ph.D. from NIT Kurukshetra. He has 28 years of teaching and Industrial experience. He has served in reputed educational institutions such as Jaypee Institute of Information Technology, Noida, Sharda University Greater Noida and Galgotias University, Greater Noida. He is actively engaged in research. He has guided 12 M.Tech. Dissertations also. He has authored 3 books and 5 book chapters. His 10 papers are indexed in DBLP and 16 papers are SCI. He had been part of the organizing committee of three IEEE conferences (ICCCA-2015, ICCCA-2016, ICCCA-2017), one Springer conference (ICICC-2018) as Technical Program Chair. He is Member of various professional societies like CSI and ACM and editorial board of various reputed journals. Dr Pancham Shukla is Principal Teaching Fellow in the Faculty of Engineering at Imperial College London. He holds more than 25years of teaching and research experience at various Universities in UK and India. He holds Ph.D. in Electrical and Electronic Engineering from Imperial College London. He has supervised a broad range of projects and published papers in signal/image processing, electronic, and communications systems. He has organized conferences and has served as Technical Session Chair along with reviewing many international conference and journal papers. He received Vice Chancellor's award for outstanding contribution to Learning and Teaching as well as Student Union's award as an outstanding member of academic staff while working at London Metropolitan University.
