Proceedings of the Fourth International Conference on Trends in Computational and Cognitive Engineering (eBook, PDF)

TCCE 2022
Redaktion: Kaiser, M. Shamim; Ray, Kanad; Mahmud, Mufti; Bandyopadhyay, Anirban; Waheed, Sajjad

• Format: PDF

Produktbeschreibung

This book presents various computational and cognitive modeling approaches in the areas of health, education, finance, environment, engineering, commerce, and industry. It is a collection of selected conference papers presented at the 4th International Conference on Trends in Cognitive Computation Engineering (TCCE 2022), hosted by Mawlana Bhashani Science and Technology University, Tangail, Bangladesh, during December 17-18, 2022. It shares cutting-edge insights and ideas from mathematicians, engineers, scientists, and researchers and discusses fresh perspectives on problem solving in a range of research areas.

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Produktdetails

• Verlag: Springer Nature Singapore
• Seitenzahl: 539
• Erscheinungstermin: 27. Mai 2023
• Englisch
• ISBN-13: 9789811994838
• Artikelnr.: 68135400

Autorenporträt

Dr. M Shamim Kaiser is currently working as Professor at the Institute of Information Technology of Jahangirnagar University, Savar, Dhaka-1342, Bangladesh. 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 & signal processing, cognitive radio network, big data and cybersecurity, renewable energy. He has authored more than 100 papers in different peer-reviewed journals and conferences. He is Associate Editor of the IEEE Access Journal, Guest Editor of Brain Informatics Journal, and Cognitive Computation Journal. Dr. Kaiser is Life Member of Bangladesh Electronic Society; Bangladesh Physical Society. He is also Senior Member of IEEE, USA and IEICE, Japan, and Active Volunteer of the IEEE Bangladesh Section. He is founding Chapter Chair of the IEEE Bangladesh Section Computer Society Chapter. Dr. Kaiser organized various international conferences such as ICEEICT 2015-2018, IEEE HTC 2017, IEEE ICREST 2018, and BI2020. Sajjad Waheed received his M.Sc. in Computer Science and Engineering in 1999 and Ph.D. in Computer Engineering in 2013. He has been serving the Mawlana Bhashani Science and Technology University as Professor in the Department of Information and Communication Technology. He is currently Chairman of the Department of Information and Communication Technology and also Dean of the Faculty of Engineering. He has actively collaborated with numerous IT-related conferences in Bangladesh in the last few years. Anirban Bandyopadhyay is Senior Scientist in the National Institute for Materials Science (NIMS), Tsukuba, Japan, has Ph.D. from Indian Association for the Cultivation of Science (IACS), Kolkata 2005,December, on supramolecular electronics, 2005-2007: is ICYS Research Fellow NIMS, Japan, 2007-now, Permanent Scientist in NIMS, Japan, has 10 patents on building artificial organic brain, big data, molecular bot, cancer & Alzheimer drug, fourth circuit element, etc., 2013-2014 is Visiting Scientist in MIT, USA, on biorhythms, World Technology Network, WTN Fellow, (2009-continued), Hitachi Science and Technology award 2010, Inamori Foundation award 2011-2012, Kurata Foundation Award, Inamori Foundation Fellow (2011-), and Sewa Society International SSS Fellow (2012-), Japan; SSI Gold medal (2017). Dr. Mufti Mahmud is Senior Lecturer of Computing at the Nottingham Trent University, UK. He received Ph.D. degree in Information Engineering from University of Padova-Italy, in 2011. A recipient of the Marie-Curie postdoctoral fellowship, he served at various positions in the industry and academia in India, Bangladesh, Italy, Belgium, and the UK since 2003. An expert in computational intelligence, data analysis, and big data technologies, Dr. Mahmud has published over 80 peer-reviewed articles and papers in leading journal and conferences. Dr. Mahmud serves as Associate Editor to the Cognitive Computation, IEEE Access, Big Data Analytics, and Brain Informatics journals. Dr. Mahmud is Senior Member of IEEE and ACM, Professional Member of the British Computer Society, and Fellow of the higher education academy-UK. During the year 2020-2021, he is serving as Vice Chair of the Intelligent System Application Technical Committee of IEEE CIS, Member of the IEEE CIS Task Force on Intelligence Systems for Health and the IEEE R8 Humanitarian Activities Subcommittee, and Project Liaison Officer of the IEEE UK and Ireland SIGHT committee. Dr. Mahmud is also serving as Local Organizing Chair of IEEE-WCCI2020; General Chair of BI2020 and BI2021, and Program Chair of IEEE-CICARE2020. Kanad Ray (Senior Member, IEEE) received the M.Sc. degree in physics from Calcutta University and the Ph.D. degree in physics from Jadavpur University, West Bengal, India. He has been Professor of Physics and Electronics and Communication and is presently working as Head of the Department of Physics, Amity School of Applied Sciences, Amity University Rajasthan (AUR), Jaipur, India. His current research areas of interest include cognition, communication, electromagnetic field theory, antenna and wave propagation, microwave, computational biology, and applied physics. He has been serving as Editor for various Springer book series. He was Associate Editor of the Journal of Integrative Neuroscience (The Netherlands: IOS Press). He has been Visiting Professor to UTM & UTeM, Malyasia and visiting Scientist to NIMS, Japan. He has established MOU with UTeM Malaysia, NIMS Japan, and University of Montreal, Canada. He has visited several countries such as Netherlands, Turkey, China, Czechoslovakia, Russia, Portugal, Finland, Belgium, South Africa, Japan, Singapore, Thailand, and Malaysia for various academic missions. He has organized various conferences such as SoCPROS, SoCTA, ICOEVCI, and TCCE as General Chair and Steering Committee Member.

Inhaltsangabe

Early Prediction and Analysis of DTI and MRI-based Alzheimer's Disease through Machine Learning Techniques.- Ensemble Machine Learning Technique for Identifying COVID-19 from CT Scan Images.- Machine Learning Based Tomato Leaf Disease Diagnosis Using Radiomics Features.- Effective Feature Extraction via Segmented t-Stochastic Neighbor Embedding for Hyperspectral Image Classification.