This book gathers selected research papers presented at first International Conference on Advance Communication and Computational Devices (ICACCD 2024). The book showcases cutting-edge research and technological advancements in the field of advanced communication and computational devices. The book focusses on topics such as AI in healthcare and life science, virtual reality and intelligent systems, big data computing services and analytics, communication protocols for IoT and AI/ML, telecommunication networks and wireless sensor networks, cloud computing and edge computing, machine learning algorithms and applications, software-defined networking, and nano-communication.

Presents research works in the field of advanced communication and computational devices Gathers the outcomes of ICACCD 2024, held at Acharya Institute of Technology, Bengaluru, India Serves as a reference resource for researchers and practitioners in academia and industry

Autorentext

Devasis Pradhan currently working as an Assistant Professor Grade 1 & Dean Research and Development, Acharya Institute of Technology, Bengaluru, Karnataka, from 2017 onwards. His current research includes the effectiveness of 5G Green Communications, mmWave antenna design, UWB antennas, and its implementation. With the experience of 17+ Years of Academics and Research field, he has published 76 + research papers and 8 papers submitted to IEEE Access and Reputed Book and  4 Authored Books and 3 Edited Book (CRC,ISTE, Bentham Science) with a reputed publishing house. He is a co-editor in the editorial board and peer review of 8 international journals and a committee member in the much-reputed organization.  He has authored and co-authored 18 book chapters. He has been a technical committee member and reviewer for a reputed internal conferences such as IEEE, Grenz Society, IFERP, etc.
Celso Barbosa Carvalho, serve as an undergraduate (since 2007) and graduate (since 2013) professor of electrical and computer engineering at the Federal University of Amazonas (UFAM/Brazil), and I am also a researcher at CETELI (Center of R&D in electronics and information technologies). I earned my B.S. in Electrical Engineering from UFAM (1994-1999) and my M.S. and Ph.D. in Electrical Engineering from the Federal University of Rio de Janeiro (UFRJ/Brazil), in 2005 and 2012, respectively. My work primarily focuses on wireless networks/communications, signal processing, and computer vision, applied both in theoretical research and practical industrial systems. To date, I have published 19 articles in journals and 72 papers in conference proceedings. I am also actively involved in education and mentorship, having supervised 16 master’s theses, co-supervised one, guided 18 undergraduate final projects, and overseen 10 scientific initiation projects. Currently, I am the primary advisor for 3 doctoral candidates and 5 master’s degree students.

Alessandro Bruno is an Associate Professor of Computer Science at IULM University (Milan, Italy). He earned a PhD in Computer Engineering from the University of Palermo in 2012. Alessandro has covered several postdoc positions, respectively, at the University of Palermo, INAF (Italian National Institute of Astrophysics), NCCA (The National Centre for Computer Animation) in the UK, and the Department of Computing and Informatics at Bournemouth University in the UK. In 2019, he was a research visitor at UCL (University College London). In 2021, he was a Lecturer in Computing at Bournemouth University and served as Co-Investigator for a European research project (s4allcitites). Alessandro Bruno was an Assistant Professor at Humanitas University in 2022 and moved to IULM University in 2023, where he won a job position as Senior Assistant Professor. From 2023 through 2024, He served as the Principal Investigator for a European research project, HeReFaNMi, funded by NGI-Search to mitigate Health-Related Fake News. His main research interests lie at the intersection of image processing, visual perception, computer vision, biomedical imaging, and LLM applications.

Dr. Mangesh M. Ghonge is a Founder & Director of MG Aricent Educational Foundation, Nashik, India. He received his Ph.D. in Computer Science & Engineering from Sant Gadge Baba Amravati University, Amravati, India. He authored/co-authored more than 110+ published articles in prestigious journals, books, and conferences.  Besides, Dr. Mangesh Ghonge authored/edited more than 25 international books published by recognized publishers such as Elsevier, Springer, IGI Global, CRC Press Taylor & Francis, Wiley-Scrivener, Nova, De Gruyter, Bentham Science, etc. He has around 1600 Google citations to his credit.  He has been invited as a resource person for many workshops/FDP. He has organized and chaired many national/international conferences and conducted various workshops. He is a registered PhD supervisor with SPPU, Pune. He is also a guest editor for SCIE/Scopus-indexed journal special issues. His 04-patent published and 08 copyright granted. Dr. Mangesh Ghonge has 17 years of academic & industry experience and guided many research scholars. His research interests include machine learning, deep learning, artificial intelligence, blockchain, wireless networks. He is a senior member of IEEE and a member of CSI, IACSIT, IAENG, IETE, and CSTA.

Inhalt

Design and Analysis of DGS MIMO Antenna for Satellite Communication Applications.- Experimental Comparative Study of Rectangular, Circular, and Triangular Microstrip Antennas at 2.45GHz.- Real-Time Machine Learning for Network Security with Low-Latency Solutions for IoTApplications.- Enhancing Precision in Robot-Assisted Surgery Through Guidance-Based Active Constraints.- Requirements-Guided Closed-Loop Testing of Cardiac Devices Using a Virtual Heart Model.