Proceedings of the 2nd International Conference on Big Data, IoT and Machine Learning (eBook)
XL, 1142 Seiten
Springer Nature Singapore (Verlag)
978-981-99-8937-9 (ISBN)
This book gathers a collection of high-quality peer-reviewed research papers presented at the International Conference on Big Data, IoT and Machine Learning (BIM 2023), organised by Jahangirnagar University, Bangladesh, and Daffodil International University, Bangladesh, held in Dhaka, Bangladesh, during 6-8 September 2023. The book covers research papers in the field of big data, IoT and machine learning. The book is helpful for active researchers and practitioners in the field.
Prof. Mohammad Shamsul Arefin received his Doctor of Engineering Degree in Information Engineering from Hiroshima University, Japan, with support of the scholarship of MEXT, Japan. His research includes data privacy and mining, big data management, IoT, machine learning, image information processing, IT for agriculture, education and environment and green computing. Prof. Arefin is the Chair of IEEE Computer Society Bangladesh Chapter. He is a senior member of IEEE, a member of ACM and a fellow of IEB and BCS. Dr. Arefin has more than 150 referred publications in international journals, book series and conference proceedings. He delivered more than 40 keynote speeches/ invited talks. He also received a good number of research grants/funds from home and abroad.
Dr. M Shamim Kaiser is currently working as the director of the Institute of Information Technology of Jahangirnagar University, Savar, Dhaka-1342, Bangladesh. He is also a professor at the IIT. He received his Bachelor's and Master's degrees in Applied Physics Electronics and Communication Engineering from the University of Dhaka, Bangladesh, in 2002 and 2004, respectively, and the Ph. D. degree in Telecommunication Engineering from the Asian Institute of Technology, Thailand, in 2010. His current research interests include data analytics, machine learning, wireless network and signal processing, cognitive radio network, big data and cyber security, and renewable energy. He has authored more than 100 papers in different peer-reviewed journals and conferences. He is an associate editor of the IEEE Access Journal and guest editor of Brain Informatics Journal and Cognitive Computation Journal.
Prof. Dr. Touhid Bhuiyan has received his Ph.D. from Queensland University of Technology, Australia. Currently, he is the head of the Department of Computer Science and Engineering, Daffodil International University, Bangladesh. He is a certified ethical hacker. He has received the Cyber Security: Cyber Risk and Resilience certificate from the University of Oxford. He is the recipient of the Australian Postgraduate Award (APA) and Deputy Vice-Chancellor's Initiative Scholarship from QUT, Australia. He was the director of the Cyber Security Centre, Daffodil International University (DIU), Bangladesh. His research interests are in cyber security, intelligent recommendations, social network, trust management, big data analytics, e-Health, e-Learning, etc. He has more than 114 research publications in renowned national and international journals, books and conference proceedings. His research interest includes cyber security, artificial intelligence, online learning, database management and software engineering.
Dr. Nilanjan Dey is an Associate Professor in the Department of Computer Science and Engineering, Techno International New Town, Kolkata, India. He is a visiting fellow of the University of Reading, UK. He also holds a position as an Adjunct Professor at Ton Duc Thang University, Ho Chi Minh City, Vietnam. Previously, he held an honorary position as a Visiting Scientist at Global Biomedical Technologies Inc., CA, USA (2012-2015). He was awarded his PhD from Jadavpur University in 2015. He is the Editor-in-Chief of the International Journal of Ambient Computing and Intelligence, IGI Global, USA. He is the Series Co-Editor of Springer Tracts in Nature-Inspired Computing (Springer Nature), Data-Intensive Research(Springer Nature),Advances in Ubiquitous Sensing Applications for Healthcare, Elsevier and Hybrid Computational Intelligence for Pattern Analysis and Understanding, Elseviser. He is an associate editor ofIET Image Processing and editorial board member of Complex & Intelligent Systems, Springer Nature, Applied Soft Computing, Elsevier, etc. He has 35 authored books and over 300 publications in the area of medical imaging, machine learning, computer aided diagnosis, data mining, etc. He is a Fellow of IETE and Senior member of IEEE.
Dr. Mufti Mahmud is an associate professor of Cognitive Computing at the Department of Computer Science of Nottingham Trent University (NTU). He is a fellow of the Higher Education Academy, a senior member of the Institute of Electrical and Electronics Engineers (IEEE) and the Association of Computing Machinery (ACM), and a professional member of the British Computer Society (BCS). Dr. Mahmud has been listed among the top 2% cited scientists worldwide in computer science (2020) and has been the winner of the 2021 Vice-Chancellor's Outstanding Research Award for Early Career Researchers. Dr. Mahmud is a section editor (big data analytics) of the Cognitive Computation Journal, regional editor (Europe) of the Brain Informatics Journal and associate editor (neuroprosthetics) of the Frontiers in Neuroscience Journal.
This book gathers a collection of high-quality peer-reviewed research papers presented at the International Conference on Big Data, IoT and Machine Learning (BIM 2023), organised by Jahangirnagar University, Bangladesh, and Daffodil International University, Bangladesh, held in Dhaka, Bangladesh, during 6-8 September 2023. The book covers research papers in the field of big data, IoT and machine learning. The book is helpful for active researchers and practitioners in the field.
| Erscheint lt. Verlag | 29.3.2024 |
|---|---|
| Reihe/Serie | Lecture Notes in Networks and Systems |
| Zusatzinfo | XL, 1058 p. 607 illus., 486 illus. in color. |
| Sprache | englisch |
| Themenwelt | Mathematik / Informatik ► Informatik ► Datenbanken |
| Mathematik / Informatik ► Informatik ► Netzwerke | |
| Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
| Informatik ► Weitere Themen ► Hardware | |
| Mathematik / Informatik ► Mathematik ► Statistik | |
| Schlagworte | Data Mining • Deep learning • IoT for Agricultures and Environments • IoT Services and Applications • Multiagent Systems • Natural Language Processing • Proceedings of BIM 2023 • Software Architecture and Middleware |
| ISBN-10 | 981-99-8937-X / 981998937X |
| ISBN-13 | 978-981-99-8937-9 / 9789819989379 |
| Haben Sie eine Frage zum Produkt? |
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