Brain and Behavior Computing  book cover
1st Edition

Brain and Behavior Computing

Edited By

Mridu Sahu


G R Sinha

  • Available for pre-order. Item will ship after May 20, 2021
ISBN 9780367552978
May 20, 2021 Forthcoming by CRC Press
432 Pages 209 B/W Illustrations

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Book Description

Brain and Behavior Computing provides an insight into the functions of the human brain. This book provides an emphasis on brain and behavior computing with different modalities available such as signal and image processing, data science, statistics, distributed computing including fundamentals, model, algorithms, case studies, and research scope. It further illustrates brain signal sources and how the brain signal can process, manipulate and transform in different domains to extract information about the physiological condition of the brain.

  • Emphasizes real challenges in brain signal processing for a variety of applications for analysis, classification, clustering and identification
  • Discusses data science and its applications in brain computing supported by visualizations
  • Covers all recent tools to analyse the brain and its workings
  • Describes brain modeling and all possible machine learning methods and their uses Augments the use of data mining and machine learning to brain computer interface (BCI) devices
  • Includes case studies and real-time simulation examples

Book is aimed at researchers, professionals, and graduate students in image processing and computer vision, biomedical engineering, signal processing, and brain and behavior computing.

Table of Contents

1.Introduction and Data Acquisition 2. Classification and Characteristics of Brain Computing 3. Signal Processing Techniques and Algorithms in Brain Behavior Analysis 4. Data Science in Brain Signal Computing 5. Image Processing Techniques in Brain And Behavior 6. Brain Simulation Tools 7. Role of Statistics in Brain and Behavior Science 8. Visual Brain Computing 9. Parallel, Distributed and Cloud Computing (PDC) in Brain and Behavior Science 10. Machine Learning Techniques for Brain and Behavior Computing 11. Brain Imaging Modalities 12. Brain-Computer Interface (BCI) 13. Psychology and Philosophy Aspects Of BCI 14. Case Studies 15. Future Scope for Brain and Behaviour Analysis

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Mridu Sahu has completed her graduation in Computer Science and Engineering in 2004 from Maulana Azad National Institute of Technology, Bhopal. She completed her post – graduation Master of Technology in Computer Science and Engineering from RIT, Raipur in 2011 and completed the Ph.D. in Computer Science and Engineering in 2018 from National Institute of Technology Raipur, India. She is having more than 10-year experiences in teaching, presently she is working as Assistant professor in department of Information Technology, NIT Raipur. She has published more than 25 research articles in various journals and conferences and book chapters in the field of Data Mining, Brain Computer Interface, Sensor devices and Visual Mining Techniques. G R Sinha is Adjunct Professor at International Institute of Information Technology (IIIT) Bangalore and currently deputed as Professor at Myanmar Institute of Information Technology (MIIT) Mandalay Myanmar. He obtained his B.E. (Electronics Engineering) and M.Tech. (Computer Technology) with Gold Medal from National Institute of Technology Raipur, India. He received his Ph.D. in Electronics & Telecommunication Engineering from Chhattisgarh Swami Vivekanand Technical University (CSVTU) Bhilai, India. He is Visiting Professor (Honorary) in Sri Lanka Technological Campus Colombo for one year 2019-2020. He has published 250 research papers, book chapters and books at International and National level that includes Biometrics published by Wiley India, a subsidiary of John Wiley; Medical Image Processing published by Prentice Hall of India and 05 Edited books on Cognitive Science-Two Volumes (Elsevier), Optimization Theory (IOP) and Biometrics (Springer). He is active reviewer and editorial member of more than 12 Reputed International Journals such IEEE Transactions on Image Processing, Elsevier Computer Methods and Programs in Biomedicine, Springer Journal of Neural Computing and Applications etc. He has teaching and research experience of 21 years. He has been Dean of Faculty and Executive Council Member of CSVTU and currently a member of Senate of MIIT. Dr Sinha has been delivering ACM lectures as ACM Distinguished Speaker in the field of DSP since 2017 across the world. His few more important assignments include Expert Member for Vocational Training Programme by Tata Institute of Social Sciences (TISS) for Two Years (2017-2019); Chhattisgarh Representative of IEEE P Sub-Section Executive Council (2016-2019); Distinguished Speaker in the field of Digital Image Processing by Computer Society of India (2015). He is recipient of many awards and recognitions like TCS Award 2014 for Outstanding contributions in Campus Commune of TCS, Rajaram Bapu Patil ISTE National Award 2013 for Promising Teacher in Technical Education by ISTE New Delhi, Emerging Chhattisgarh Award 2013, Engineer of the Year Award 2011, Young Engineer Award 2008, Young Scientist Award 2005, IEI Expert Engineer Award 2007, ISCA Young Scientist Award 2006 Nomination and Deshbandhu Merit Scholarship for 05 years. He served as Distinguished IEEE Lecturer in IEEE India council for Bombay section. He is Senior Member of IEEE and Fellow of IETE India.