Proceedings of International Conference on Data, Electronics and Computing
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This book features high-quality, peer-reviewed research papers presented at the International Conference on Data Electronics and Computing (ICDEC 2023) organized by Department of Computer Science & Engineering, Mizoram University (A Central University) Aizawl, India & Department of Computer Science & Engineering, National Institute of Technology Mizoram Aizawl, India during 15 - 16 December 2023. The book covers topics in communication, networking and security, image, video and signal processing; cloud computing, IoT and smart city, AI/ML, big data and data mining, VLSI design, antenna, and microwave and
control. …mehr

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Produktbeschreibung
This book features high-quality, peer-reviewed research papers presented at the International Conference on Data Electronics and Computing (ICDEC 2023) organized by Department of Computer Science & Engineering, Mizoram University (A Central University) Aizawl, India & Department of Computer Science & Engineering, National Institute of Technology Mizoram Aizawl, India during 15 - 16 December 2023. The book covers topics in communication, networking and security, image, video and signal processing; cloud computing, IoT and smart city, AI/ML, big data and data mining, VLSI design, antenna, and microwave and

control.
Autorenporträt
Prof. Nibaran Das received his B. Tech in Computer Science and Technology from Kalyani University, M. C. S. E. and Ph.D. (Engineering) degrees from Jadavpur University in 2003, 2005 and 2012 respectively. He joined in Computer Science and Engineering Department of Jadavpur University in 2006. Dr. Das has published more than 140 research articles in various international journals, conference proceedings and book chapters in the areas of pattern recognition and image analysis using different Machine Learning and Deep Learning techniques. He has co-authored three books. He has supervised around 40 Master degree students till date. He is supervising six Ph.D. student at present in the field of medical and document image processing. He is the principal supervisor of two ongoing project and complete three as principle supervisor. He has also worked as co-supervisor in three different project. He has been a member of the advisory/program/organizing committees of different reputed International conferences and workshops Dr. Ajoy Kumar Khan is presently associated with Mizoram University as a Professor and Head of Department in the Department of Computer Engineering. He completed his B.Tech (CSE) and M.Tech (CSE) degrees from the University of Calcutta, Kolkata, and was awarded a Ph.D. degree from Assam University (A Central University). He has 15+ years of teaching experience, including association with TKH Jain College, Academy of Technology and Assam University. He has completed 3 Sponsored Research Projects funded by DST, DeitY, and UGC. He has 35 papers published in reputed Journals, conferences, and book chapters. He was a resource person as an invited lecturer in 20 conferences and webinars. He has attended more than 30 workshops/FDP. His area of interest include Applied Cryptography and Information Security like Smart CardSecurity, Cyber Security, Digital Forensics, IoT Security, Cloud Data Security, Big data Security, Neural Cryptography, Quantum Cryptography, Block Chain Technology, etc Dr. Swagata Mandal, at present an assistant professor at Jalpaiguri Government Engineering College(Autonomous) in West Bengal, India. He received his Bachelor of Technology (B.TECH.) degree in Electronics and Communication from West Bengal University of Technology (WBUT) in 2011 and his M.E. degree in Electronics & Telecommunication Communication Engineering from Bengal Engineering and Science University (Deemed University), now Indian Institute of Engineering, Science and Technology (IIEST), Shibpur, Howrah, India in 2013. He has done his Doctoral research on the Development of FPGA-based Error Resilient Self-Triggered Readout Chain for CBM Experiment at Variable Energy Cyclotron Centre Kolkata, 20013-2017. He was a Post-Doctoral fellowat the School of Computer Science Engineering, Nanyang Technological University, Singapore, during 2017-2018. He is the recipient of the DGFS-PhD fellowship for pursuing a Ph.D. in Engineering Science from the Department of Atomic Energy, Govt. of India, in 2013. He received various fellowship from different prestigious conferences like VLSID, ATS, ISVLSI, etc., for presenting the paper. His research interests are: In memory Computation, VLSI design, Embedded System Design, Fault Tolerant System Design and Hardware cryptography. Dr. Ondrej Krejcar, is a full professor in systems engineering and informatics at the University of Hradec Kralove, Faculty of Informatics and Management, Center for Basic and Applied Research, Czech Republic, and a Research Fellow at Malaysia-Japan International Institute of Technology, University Technology Malaysia, Kuala Lumpur, Malaysia. In 2008 he received his Ph.D. title intechnical cybernetics at Technical University of Ostrava, Czech Republic. He is currently a vice-rector for science and creative activities at the University of Hradec Kralove since June 2020. At present, he is also a director of the Center for Basic and Applied Research at the University of Hradec Kralove. In the years 2016-2020, he was vice-dean for science and research at the Faculty of Informatics and Management, UHK. His h-index is 21, with more than 1800 citations received in the Web of Science, where more than 120 IF journal articles are indexed in the JCR index. In 2018, he was the 14th top peer reviewer in Multidisciplinary in the World, according to Publons, and a Top Reviewer in the Global Peer Review Awards 2019 by Publons. He is on the editorial board of the MDPI Sensors IF journal (Q1/Q2 at JCR) and several other ESCI-indexed journals. He has been a Vice-leader and Management Committee member at WG4 atproject COST CA17136, since 2018. He has also been a Management Committee member substitute at project COST CA16226 since 2017. Since 2019, he has been Chairman of the Program Committee of the KAPPA Program, Technological Agency of the Czech Republic as a regulator of the EEA/Norwegian Financial Mechanism in the Czech Republic (2019-2024). Since 2020, he has been Chairman of Panel 1 (Computer, Physical and Chemical Sciences) of the ZETA Program, Technological Agency of the Czech Republic. Since 2014 until 2019, he has been Deputy Chairman of Panel 7 (Processing Industry, Robotics, and Electrical Engineering) of the Epsilon Program, Technological Agency of the Czech Republic. At the University of Hradec Kralove, he is a guarantee of the doctoral study program in Applied Informatics, where he is focusing on lecturing on Smart Approaches to the Development of Information Systems and Applications in Ubiquitous Computing Environments. Dr. Debotosh Bhattacharjee is working as a full professor in the Department of Computer Science and Engineering, Jadavpur University, with nineteen years of post-PhD experience. His research interests pertain to the applications of machine learning techniques for Face Recognition, Gait Analysis, Hand Geometry Recognition, and Diagnostic Image Analysis. He has authored or co-authored more than 342 journals and conference publications, including several book chapters in Biometrics and Medical Image Processing. Two US patents have been granted on his works. Prof. Bhattacharjee has been granted sponsored projects by the Govt. of India funding agencies like the Department of Biotechnology(DBT), Department of Electronics and Information Technology (DeitY), University Grants Commission(UGC) with a total amount of around INR 3 Crore. For postdoctoral research, Dr. Bhattacharjee has visited differentuniversities abroad like the University of Twente, The Netherlands; Instituto Superior Técnico, Lisbon, Portugal; University of Bologna, Italy; ITMO National Research University, St. Petersburg, Russia; University of Ljubljana, Slovenia; Northumbria University, Newcastle Upon Tyne, UK and Heidelberg University, Germany. He is a life member of the Indian Society for Technical Education (ISTE, New Delhi), the Indian Unit for Pattern Recognition and Artificial Intelligence (IUPRAI), a senior member of IEEE (USA) and a fellow of West Bengal Academy of Science and Technology.