Low-Power Wide Area Network for Large Scale Internet of Things (ePub)
This book presents a comprehensive exploration of LPWANs, delving into their fundamental concepts, underlying technologies, and the multifaceted challenges they tackle.
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This book presents a comprehensive exploration of LPWANs, delving into their fundamental concepts, underlying technologies, and the multifaceted challenges they tackle.
Dr. Mariya Ouaissa Dr. Mariya Ouaissa is currently a Professor in Cybersecurity and Networks at Faculty of Sciences Semlalia, Cadi Ayyad University, Marrakech, Morocco. She is a Ph.D. graduated in 2019 in Computer Science and Networks, at the Laboratory of Modelisation of Mathematics and Computer Science from ENSAM-Moulay Ismail University, Meknes, Morocco. She is a Networks and Telecoms Engineer, graduated in 2013 from National School of Applied Sciences Khouribga, Morocco. She is a Co-Founder and IT Consultant at IT Support and Consulting Center. She was working
Inam Ullah Khan is the Founder of Internet of Flying Vehicles-Lab at AI-EYS. Recently, he is working as Global Mentor/ Guest Lecturer at Impact Xcelerator, IE School of Science and Technology, Madrid, Spain. Previously, he was working as visiting researcher at King's College London, United Kingdom. Also, he was faculty member at different universities in Pakistan which include Center for Emerging Sciences Engineering & Technology (CESET), Islamabad, Abdul Wali Khan University, Garden Campus, Timergara Campus, University of Swat & Shaheed Zulfikar Ali Bhutto Institute of Science and Technology (SZABIST), Islamabad Campus. He completed his Ph.D. in Electronics Engineering from Department of Electronic Engineering, Isra University, Islamabad Campus, School of Engineering & Applied Sciences (SEAS). Also, he did his M.S. degree in Electronic Engineering at Department of Electronic Engineering, Isra University, Islamabad Campus, School of Engineering & Applied Sciences (SEAS). He had done undergraduate degree in Bachelor of Computer Science from Abdul Wali Khan University Mardan, Pakistan. He authored/coauthored more than 50 research articles in reputable journals, conferences and book chapters. His research interest includes Network System Security, Intrusion Detection, Intrusion Prevention, cryptography, Optimization techniques, WSN, IoT, Mobile Ad Hoc Networks (MANETS), Flying Ad Hoc Networks, and Machine Learning. He served in many international conferences as Session Chair/ Technical program committee member. Also, he served as Guest Editor with many prestigious international journals. Apart from that he is General Chair at International Conference on Trends and Innovations in Smart Technologies (ICTIST'22), virtually from London, United Kingdom. In addition, he also served as editor of several books. More interestingly, he was invited as technology expert many times on Pakistan National Television and other media outlets.
Dr. Zakaria Boulouard is currently a Professor at Department of Computer Sciences at the "Faculty of Sciences and Techniques Mohammedia, Hassan II University, Casablanca, Morocco". In 2018, he joined the "Advanced Smart Systems" Research Team at the "Computer Sciences Laboratory of Mohammedia". He received his PhD degree in 2018 from "Ibn Zohr University, Morocco" and his Engineering Degree in 2013 from the "National School of Applied Sciences, Khouribga, Morocco". His research interests include Artificial Intelligence, Big Data Visualization and Analytics, Optimization and Competitive Intelligence. Since 2017, he is a member of "Draa-Tafilalet Foundation of Experts and Researchers", and since 2020, he is an "ACM Professional Member". He has served on Program Committees and Organizing Committees of several conferences and events and has organized many Symposiums/Workshops/Conferences as a General Chair. He has served and continues to serve as a reviewer of numerous international conferences and journals. He has published several research papers. This includes book chapters, peer-reviewed journal articles, peer-reviewed conference manuscripts, edited books and special issue journals.
Dr. Junaid Rashid is a Postdoctoral Researcher at the Department of Computer Science and Engineering, Kongju National University, South Korea, from August 2021. He worked as Honorary Senior Postdoctoral Research Fellow at the Center for AI and Data Science, Edinburgh Napier University, Scotland, UK, since November 2020 and awarded the Fellowship in March 2022. He received his Ph.D. Degree from the Department of Computer Science, University of Engineering and Technology, Taxila, Pakistan, in 2020 and respectively his M.S and B.S degrees in Computer Science from COMSATS Institute of Information Technology, Wah Campus, Pakistan in 2016 and 2014. He worked as a Lecturer in the Department of Computer Science at AIR University Islamabad, Kamra Campus, Pakistan, from January 2020 to July 2021. He served as Research Associate and Lecturer from March 2017 to January 2020 at the University of Engineering and Technology, Taxila, Pakistan. He has served as Lecturer (Visiting) from September 2019 to February 2020, September 2016 to January 2017 and September 2015 to January 2016 in COMSATS University Islamabad, Wah, Pakistan. He received a fully funded scholarship for his Ph.D. degree. He has been working as an Academic Editor in PLOS One. He is a program committee member at the International Conference on Advances in Communication Technology and Computer Engineering (ICACTCE'22), Morocco. He has served/been serving as a reviewer of various reputed journals and conferences. He has published many research papers in prestigious journals and conferences. His research interest includes Machine Learning, Data Science, Natural Language Processing, Topic Modeling, Text Mining, Information Retrieval, Pattern Recognition, Fuzzy Systems, Medical Informatics, Computer Networks, and Software Engineering.
- 2024, 1. Auflage, 312 Seiten, Englisch
- Herausgegeben: Mariyam Ouaissa, Mariya Ouaissa, Inam Ullah Khan, Zakaria Boulouard, Junaid Rashid
- Verlag: Taylor & Francis
- ISBN-10: 1040005772
- ISBN-13: 9781040005774
- Erscheinungsdatum: 11.04.2024
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- Dateiformat: ePub
- Größe: 8.29 MB
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