EAI 3rd International Conference on Smart Technologies and Innovation Management
161,99 €
inkl. MwSt.
Versandkostenfrei*
Versandfertig in 6-10 Tagen
payback
81 °P sammeln
  • Gebundenes Buch

This book presents the proceedings of 4th EAI International Conference on Smart Technology (MTYMEX), which took place March 28-29, 2024, Vancouver, B.C., Canada. MTYMEX is an international conference aimed at demonstrating the potential of new applications for the Internet in the future. The authors offer perspectives on research on smart technologies in society, including the results of research projects on virtual reality, block chain, artificial intelligence, and smart cities. The book offers examples of applications with smart technologies in different knowledge areas. The conference…mehr

Andere Kunden interessierten sich auch für
Produktbeschreibung
This book presents the proceedings of 4th EAI International Conference on Smart Technology (MTYMEX), which took place March 28-29, 2024, Vancouver, B.C., Canada. MTYMEX is an international conference aimed at demonstrating the potential of new applications for the Internet in the future. The authors offer perspectives on research on smart technologies in society, including the results of research projects on virtual reality, block chain, artificial intelligence, and smart cities. The book offers examples of applications with smart technologies in different knowledge areas. The conference brings together the academic, research and private sectors working on applications and smart devices for e-health and smart cities.
Autorenporträt
Dr. Hamed Taherdoost is an experienced award-winning leader and R&D professional, who holds a Ph.D. in Computer Science and specializes in Information Technology Management, Research & Development, and Cybersecurity. He has over 20 years of experience in both academic and industrial sectors and has held positions like CTO, CEO, and R&D Manager in various international companies. He has been involved in several important breakthroughs in IT and industrial projects and has developed projects in different industries, including transportation, laboratory, hospital, and IT development. Apart from his industry background, he also has numerous outstanding achievements in the academic environment, including winning several best paper awards and outstanding editor & reviewer awards. He has published over 200 scientific articles in peer-reviewed international journals and conference proceedings, as well as several books in the field of technology and research methodology. He is an active member of several prestigious organizations and societies, including IEEE and IFIP TC 11, and has served as an editorial, reviewer, and advisory board member of various peer-reviewed journals publishing with Taylor & Francis, Elsevier, Inderscience, MDPI, Springer, EAI, and IGI Publishing. Dr. Yousef FARHAOUI, is a Professor at Moulay Ismail University, Faculty of sciences and Techniques, Morocco. Chair of IDMS Team, Director of STI laboratory. Local Publishing and Research Coordinator, Cambridge International Academics in United Kingdom. He obtained his Ph.D. degree in Computer Security from Ibn Zohr University of Science. His research interests include learning, e-learning, computer security, big data analytics, and business intelligence. Farhaoui has three books in computer science. He is a coordinator and member of the organizing committee and a member of the scientific committee of several international congresses, and is a member of various international associations. Hehas authored seven Book and many Book Chapters with Reputed Publishers such as Springer and IGI. He is served as a Reviewer for IEEE, IET, Springer, Inderscience and Elsevier Journals. He is also the Guest Editor of many Journals with Wiley, Springer, Inderscience, etc. He has been the General Chair, Session Chair, and Panelist in Several Conferences. He is Senior Member of IEEE, IET, ACM and EAI Research Group. Dr. Seyed Reza Shahamiri possesses extensive expertise as a deep learning software engineer and has a clear vision of leveraging technological advancements in computing and artificial intelligence to address health disparities. His primary focus is on developing smart assistive technologies, constructing intelligent software platforms and solutions that enhance support for individuals with mental or physical limitations, and equipping healthcare professionals with advanced tools and equipment. Reza holds a Bachelor's and Master's degree in Software Engineering, along with a Ph.D. in Computer Science. Presently, he holds a tenured position as a faculty in Software Engineering at the Department of Electrical, Computer, and Software Engineering, Faculty of Engineering, The University of Auckland, New Zealand. His research revolves around creating innovative and intelligent healthcare systems utilizing deep learning technologies, speech and speaker identification, and automation of software test oracles. Dr. Mitra Madanchian is an Assistant Professor at University Canada West and Adjunct Professor at Fairleigh Dickinson University. She is also the Director of Quark Minded Technology Inc. and Hamta Business Corporation. Holding a Ph.D. in Business Management from Universiti Teknologi MARA (Malaysia), a Master of Administrative Science in Human Resources from Fairleigh Dickinson University, and both Master's and Bachelor's degrees in Applied Linguistics from University Putra Malaysia, she has a strong academic background. With over a decade of industry experience, including roles in both SMEs and a Big Four firm (KPMG), Mitra has established herself as an expert in Business Management and Research and Development. Her professional career spans various international companies, covering fields such as IT, International Trade, Finance, and Education. In addition to her industrial expertise, Mitra is an accomplished academic researcher, specializing in Business Management, Leadership, Human Resource Management, Marketing Management, FinTech, and IT Management. Her work has been published by reputable publishers like Elsevier, IGI Global, and MDPI, comprising over fifty scientific articles in peer-reviewed international journals, seven book chapters, and a book on leadership. She is a member of CPHR and has served as a session chair and speaker at international conferences, presenting numerous papers. Currently, her research interests focus on the role of AI in HR and Marketing. Additionally, Mitra is authoring a book entitled "Ethics in Human Resource Management," which is currently in press. Dr. Tuan-Vinh Le received the Ph.D. degree in Management from the Graduate Institute of Management, Chang Gung University, Taiwan in July 2021. From August 2021 to July 2022, he was an Assistant Professor with the Department of Information Management, Chihlee University of Technology, Taiwan. Since August 2022, he has been an Assistant Professor with the Program of Artificial Intelligence and Information Security, Fu Jen Catholic University, Taiwan. Dr. Le published multiple papers in various scientific journals. His research interests include information security, communication system security, cryptography, and block chain, genomic data management, smart healthcare, and smart grid. He is a frequent reviewer and an editor of multiple SCI-indexed journals. In addition, he is an instructor certified by the EC-Council. He can speak Chinese, English, and Vietnamese. Dr. Mukesh Prasad is a Senior Lecturer at the School of Computer Science in the Faculty of Engineering and IT at UTS who has made substantial contributions to the fields of machine learning, artificial intelligence and the internet of things. Mukesh's research interests include also big data, computer vision, brain computer interface, and evolutionary computation. He is working also in the evolving and increasingly important field of image processing, data analytics and edge computing, which promise to pave the way for the evolution of new applications and services in the areas of healthcare, biomedical, agriculture, smart cities, education, marketing and finance. His research has appeared in numerous prestigious journals, including IEEE/ACM Transactions, and at conferences, and he has written more than 120 research papers. Mukesh started his academic career as a lecturer with UTS in 2017 and became a core member of the University's world-leading Australian Artificial Intelligence Institute (AAII), which has a vision to develop theoretical foundations and advanced technologies for AI and to drive progress in related areas. He was also a postdoctoral researcher leading a Big Data and computer vision team at National Chiao Tung University, Taiwan (2015). His research is backed by industry experience, specifically in Taiwan, where he was the principal engineer (2016-17) at the Taiwan Semiconductor Manufacturing Company (TSMC). There, he developed new algorithms for image processing and pattern recognition using machine learning techniques.