Driving Smarter Human-Computer Interaction With Multidisciplinary Personalized Systems (Paperback)

"This book will significantly influence how the research community thinks about cognitive-aware technology"-- Provided by publisher.

Subrata Tikadar is currently working as an ‘Assistant Professor – Research & Innovation’ in the Amity School of Engineering and Technology Kolkata, Amity University Kolkata, India. Prior to joining the Amity, he was associated with Vellore Institute of Technology – Andhra Pradesh, India, Aliah University Kolkata, India, Maulana Abul Kalam Azad University of Technology (formerly West Bengal University of Technology) Kolkata, India, Central Institute of Technology Kokrajhar, Assam, India, Bengal College of Engineering and Technology Durgapur, India, and Kingstone Engineering College Kolkata, India. He has around 12 years of teaching and research experience. Dr. Tikadar completed his BE in Computer Science and Engineering from the University Institute of Technology – Burdwan University (UIT-BU), India, M.Tech in Computer Science and Engineering (Specialized in Multimedia and Software Systems) form National Institute of Technical Teachers’ Training and Research Kolkata (NITTTR Kolkata), India, and PhD in Computer Science and Engineering (Specialized in Human-Computer and Interaction) form Indian Institute of Technology Guwahati (IIT Guwahati), India. He is currently an active researcher in the field of Human-Computer Interaction, particularly in Advanced Learning Technology, Affective Computing, AR-VR-MR, Brain-Computer Interaction, and Interdisciplinary and Multidisciplinary interactive sensitive system design. Dr. Tikadar’s remarkable awards and recognition include the Best PhD Thesis Award (in the 23rd Convocation of IIT Guwahati, India), Best Research Paper Award by IEEE Technical Committee on Learning Technology (in the 19th IEEE International Conference on Advanced Learning Technologies (ICALT 2019, Maceio, Brazil) organized by the IEEE Computer Society and the IEEE Technical Committee on Learning Technology, Scholarship from IFIP TC13 on HCI, and the IFIP Digital Equity Committee to present research papers in INTERACT 2019 Paphos, Cyprus, and a Special Recognition from ACM SIGCHI for Outstanding Research Paper Review. He is a program committee member of many international top-tier conference including 22nd ACM International Conference on Multimodal Interaction (ICMI), Utrecht, the Netherlands, and 23rd ACM International Conference on Multimodal Interaction (ICMI), Montreal, Canada. Dr. Tikadar is associated with many professional organizations that include ACM, IEEE, IEEE Computer Society Technical Committee on Learning Technology, and many more.

Joel J. P. C. Rodrigues [AAIA and IEEE Fellow] is a permanent professor of the Post-Graduation Program in electrical engineering at UFPI, with Senac Ceará (specialist consultant), Brazil, and Coordinator of the Intelligent Center at Fecomércio CE. He has been a Professor at Inatel, Brazil, an aggregated professor at the Univ. of Beira Interior (UBI), Portugal and visiting professor at UNIFOR, Brazil. He received the Aggregation in Computer Science and Engineering from UBI, the Habilitation in computer science and engineering from the Univ. Mulhouse Haute-Alsace, France, a PhD degree in Computer Science and Engineering and an MSc in Management degree from UBI, and a five-year BSc degree (licentiate) in Computer Science and Engineering from the Univ. of Coimbra, Portugal. He was the Director of the MSc degree on Computer Science and Engineering (UBI) [2009-2013], the Founder and Director of the Post-graduation ICT for TELCO (Information and Communication Technologies for the Telco Sector), in cooperation with Portugal Telecom and Syone [2012-2013].His main research interests include sensor networks and Internet of Things (IoT), eHealth technologies, vehicular communications, mobile and cloud computing. He has authored or co-authored over 1200 publications in refereed international journals (more than 715 publications), conferences, book chapters, 3 books, 2 patents, and 1 ITU-T Recommendation (standard); with more than 39400 citations and H-Index 104. He is a Distinguished Researcher by CNPq (Brazil), Highly Cited Researcher (ISI Web of Science), an IEEE Distinguished Lecturer [2018-2021], a Past-Director for Conference Development - IEEE ComSoc Board of Governors, Technical Activities Committee Past-Chair of the IEEE ComSoc Latin America Region Board, a Past-Chair of the IEEE ComSoc TC on eHealth and IEEE ComSoc TC on Comm. Software, the representative of the IEEE ComSoc on the IEEE Biometrics Council, member of the Steering Committee and Publications co-Chair of the Life Sciences Technical Community.He is or was the Leader of the Project IoT-based solutions for smart homes (CNPq), MosquIot (FAPEMIG), the IT Projects VDTN@Lab, BodySens, EcoSense, several projects with SAPO (Portugal Telecom), and the Leader of several research projects on IoT at Inatel, the NoE Euro-NF SJR Project VDTN (Vehicular Delay Tolerant Networks). He is or was member of several European or national projects (NoE Euro-NF, NoE Euro-NGI, NoE Euro-FGI, AAL4ALL - Ambient Assisted Living for All, eLearning 3.0, Moggy, etc.). Joel was member of the stakeholders group for the FI-STAR Project and is a Management Committee member of the ICT COST Action IC 1304, both funded by the European Union. Joel has also experience on projects evaluation belonging to the evaluation boards of the Brazilian CNPq, Qatar National Research Fund (QNRF), Innovation Agency from the Portuguese Government, and European projects evaluation on calls promoted by the European Union.Joel is the Editor-in-Chief of the International Journal of E-Health and Medical Communications and the Journal of Multimedia Information Systems (Korea Multimedia Society) [2014-2018]. He belongs to several Editorial Boards of many reputed qualified journals (IEEE IoT, IEEE Systems, IEEE Wireless Communications, etc.).He was the Steering Committee Chair of the IEEE HEALTHCOM [2014-2021], and has been general chair and TPC Chair of many international conferences, including IEEE ICC/GLOBECOM. He received several awards, including numerous best paper awards (more than 20), as the 2014 IEEE ComSoc Multimedia TC Outstanding Leadership Award, and recognition awards for his leadership in many conferences and other recognition awards (mainly, from IEEE ComSoc).He is a member of the Internet Society, a senior member of ACM and an AAIA IEEE FELLOW.

Rabi Shaw is an accomplished academic with a strong foundation in Computer Science and Engineering. He earned his B.Tech and M.Tech degrees from the University Institute of Technology, Burdwan, and Jadavpur University, Kolkata, respectively, followed by a Ph.D. from the National Institute of Technology Rourkela in 2023. His teaching career began at the Aryabhatta Institute of Engineering & Management, Durgapur, and continued at the National Institute of Technology Jamshedpur before joining Dr. B. R. Ambedkar National Institute of Technology, Jalandhar, as an Assistant Professor in the Department of Information Technology. Dr. Rabi Shaw is an accomplished academic with a strong foundation in Computer Science and Engineering. He earned his B.Tech and M.Tech degrees from the University Institute of Technology, Burdwan, and Jadavpur University, Kolkata, respectively, followed by a Ph.D. from the National Institute of Technology Rourkela in 2023. His teaching career began at the Aryabhatta Institute of Engineering & Management, Durgapur, and continued at the National Institute of Technology Jamshedpur before joining Dr. B. R. Ambedkar National Institute of Technology, Jalandhar, as an Assistant Professor in the Department of Information Technology. Dr. Shaw has made notable contributions to journals such as Future Generation Computer Systems, Expert Systems with Applications, Cognitive Computation, and Biomedical Signal and Control. His work has also been recognized at ICALT. His research interests span Educational Technology with Cognitive Science, Human-Computer Interaction, Signal Processing, Recommender Systems, and the transformative fields of Machine Learning and Deep Learning.

Ahdi Hassan has been Associate or Consulting Editor of numerous journals and also served the editorial review board from 2013- to till now. He has a number of publications and research papers published in various domains. He has given contribution with the major roles such as using modern and scientific techniques to work with sounds and meanings of words, studying the relationship between the written and spoken formats of various Asian/European languages, developing the artificial languages in coherence with modern English language, and scientifically approaching the various ancient written material to trace its origin. He teaches topics connected but not limited to communication such as English for Young Learners, English for Academic Purposes, English for Science, Technology and Engineering, English for Business and Entrepreneurship, Business Intensive Course, Applied Linguistics, interpersonal communication, verbal and nonverbal communication, cross cultural competence, language and humor, intercultural communication, culture and humor, language acquisition and language in use.

Bidyut Kr. Patra received B.Tech. (CSE) and M.Tech. (CSE) degrees from University of Calcutta, Kolkata, India, in 1999 and 2001, respectively. He earned the Ph.D. degree in Computer Science and Engineering from Indian Institute of Technology Guwahati, India in 2012. Before joining to the Ph.D. programme, he was the faculty in the Department of Computer Science and Engineering, Haldia Institute of Technology, Haldia, India, during 2001–2005, and National Institute of Technology Rourkela, India, during 2011–2022 . He was awarded ERCIM (Marie-Curie) fellowship by European Research Consortium for Informatics and Mathematics, France for conducting independent research at VTT Technical Research Centre of Finland, Finland during May, 2013–October, 2014. Presently, he is an Associate Professor, IIT(BHU) Varanassi-221 005, INDIA. He has published research articles in Knowledge and Information Systems (KAIS), Knowledge-Based Systems (KBS), Pattern Recognitions, Expert System With Applications. He has been recognized at ECIR, CoDS-COMAD. His research interests include data mining, recommender systems.