Proceedings of Fourth International Conference on Computing and Communication Networks
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This book includes selected peer-reviewed papers presented at fourth International Conference on Computing and Communication Networks (ICCCN 2024), held at Manchester Metropolitan University, UK, during 17-18 October 2024. The book covers topics of network and computing technologies, artificial intelligence and machine learning, security and privacy, communication systems, cyber physical systems, data analytics, cyber security for industry 4.0, and smart and sustainable environmental systems.

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Produktbeschreibung
This book includes selected peer-reviewed papers presented at fourth International Conference on Computing and Communication Networks (ICCCN 2024), held at Manchester Metropolitan University, UK, during 17-18 October 2024. The book covers topics of network and computing technologies, artificial intelligence and machine learning, security and privacy, communication systems, cyber physical systems, data analytics, cyber security for industry 4.0, and smart and sustainable environmental systems.
Autorenporträt
Dr. Akshi Kumar is Senior Lecturer (Associate Professor) and Director-Post graduate Research (PGR) in the Department of Computing at Goldsmiths, University of London, UK. Her academic path spans from a Doctorate in the domain of Web Mining at the University of Delhi, India to a post-doctoral on Explainable AI for NLP from Brazil. She held pivotal positions at Manchester Metropolitan University, UK as well as at NSUT and DTU in New Delhi, India. Recognized as an "Exceptional Promise in AI and Data Science" by the Royal Academy of Engineering, UK in 2022, She has received international accolades, including being named in Stanford's "Top 2% Scientist" list in 2021 and 2022, respectively. She has successfully guided 6 doctorates and 33 Master theses. Serving as an Associate and Guest Editor for impactful journals, her research encompasses affective computing, social media and network analytics, natural language processing (NLP), and AI-driven healthcare. Prof. (Dr.) Abhishek Swaroop completed his B.Tech. (CSE) from GBP University of Agriculture & Technology, M.Tech. From Punjabi University Patiala, and Ph.D. from NIT Kurukshetra. He has 28 years of teaching and Industrial experience. He has served in reputed educational institutions such as Jaypee Institute of Information Technology, Noida, Sharda University Greater Noida and Galgotias University Greater Noida. He is actively engaged in research. One of his Ph.D. Scholar has completed his Ph.D. from NIT Kurukshetra and he is currently supervising 4 PhD students. He has guided 12 M.Tech. Dissertations also. He has authored 3 books and 5 book chapters. His 10 papers are indexed in DBLP and 16 papers are SCI. He had been part of the organizing committee of three IEEE conferences (ICCCA-2015, ICCCA-2016, ICCCA-2017), one Springer conference (ICICC-2018) as technical program chair. He is member of various professional societies like CSI and ACM and editorial board of various reputed journals. Dr. Pancham Shukla serves as faculty in the Department of Computing at Imperial College London. He holds a Diploma of Imperial College in Electrical and Electronic Engineering and a Ph.D. from the University of London. Throughout his 28+ year career, he has taught, researched, and mentored at various institutions across the UK and India. His leadership experience includes serving as Director of Postgraduate Studies, Director of Undergraduate Studies, and Deputy Director of a research centre. Dr. Shukla's excellence has been recognized with the Vice Chancellor's Award for exceptional contributions to Learning and Teaching, as well as the Student Union's Award recognizing him as an outstanding academic staff member. His current research concentrates on signal and image processing, alongside machine learning applications. Outside academia, Dr. Shukla contributes to cultural preservation as General Secretary of the Gujarati Literary Academy in the UK. He dedicates his leisure time to writing and appreciating Gujarati poetry.