Applications of AI for Interdisciplinary Research

Dr. Sukhpal Singh Gill (FHEA) is a Assistant Professor in Cloud Computing at School of Electronic Engineering and Computer Science (EECS), Queen Mary University of London (QMUL), UK and he is a member of Network Research Group. Prior to this, Dr. Gill has held positions as a Research Associate at Evolving Distributed Systems Lab at the School of Computing and Communications, Lancaster University, UK and also as a Postdoctoral Research Fellow at the Cloud Computing and Distributed Systems (CLOUDS) Laboratory, School of Computing and Information Systems, The University of Melbourne, Australia. He was awarded Fellow of the Higher Education Academy (FHEA) in 2022 after passing PGCAP/PGCert with Distinction. He has published his PGCAP/PGCert work in highly-ranked Education Conferences and Journals such as IEEE EDUCON (top conference for education papers with acceptance rate 26%), Wiley Computer Applications in Engineering Education (Impact Factor = 2.1) and IT NOW – British Computer Society (BCS). Before joining CLOUDS Lab, Dr. Gill also worked in Computer Science and Engineering Department of Thapar University, India, as a Lecturer. Dr. Gill received his Bachelor’s degree in Computer Science and Engineering from Punjab Technical University with Distinction in 2010. Then, he obtained the Degree of Master of Engineering in Software Engineering (Gold Medalist), as well as a Doctoral Degree specialization in Autonomic Cloud Computing from Thapar University. He was a DST (Department of Science & Technology) Inspire Fellow during Doctorate and worked as a Senior Research Fellow (Professional) on DST Project, Government of India. Dr. Gill was a research visitor at Monash University, University of Manitoba, University of Manchester and Imperial College London. He was a recipient of several awards, including the Distinguished Reviewer Award from Software: Practice and Experience (Wiley), 2018, Best Paper Award AusPDC at ACSW 2021, and the EECS Award for the “Widest Academic Staff Contribution” at EECS, QMUL in 2023. He has also served as the PC member for venues such as IEEE PerCom, UCC, CCGRID, CLOUDS, ICFEC, AusPDC. His one review paper has been nominated and selected for the ACM 21st annual Best of Computing Notable Books and Articles as one of the notable items published in computing – 2016. He has co-authored 150+ peer-reviewed papers (with Citations 7500+ and H-index 45+ as per Google Scholar) and has published in prominent international journals and conferences such as IEEE TCC, IEEE TSC, IEEE TSUSC, IEEE TCE, ACM TOIT, IEEE TII, IEEE TNSM, IEEE IoT Journal, Elsevier JSS/FGCS, IEEE/ACM UCC and IEEE CCGRID. Dr. Gill served as a Guest Editor for SPE (Wiley), JCC Springer Journal, Sustainability Journal (MDPI) and Sensors Journal (MDPI). He is a regular reviewer for IEEE TPDS, IEEE TSC, IEEE TNSE, IEEE TSC, ACM CSUR and Wiley SPE. Dr. Gill has reviewed 570+ research articles of high ranked journals and prestigious conferences as per Web of Science. He has edited a research books for Elsevier, Springer and CRC Press. Dr. Gill is serving as an Associate Editor in IEEE IoT Journal, Elsevier IoT Journal, Wiley SPE Journal, Wiley ETT Journal and IET Networks Journal. and Area Editor for Springer Cluster Computing Journal. He is a professional member of ACM. His name appears in the list of the World’s Top 2% of Scientists released by Stanford University and Elsevier BV (2022 and 2023). Dr. Gill has been serving as an editorial board member for IGIGLOBAL JOEUC, IGIGLOBAL IJAEC, and MECS IJEME. One of his articles published by the IEEE IoT Journal is highlighted in IEEE Spectrum (the world’s leading engineering magazine). Dr. Gill wrote articles for international magazines such as Ars Technica, Tech Monitor, Cutter Consortium and ICT Academy. He has been interviewed by Tallinn University, Estonia, to talk about “The capabilities and limitations of ChatGPT for Education“. His research interests include Cloud Computing, Fog Computing, Software Engineering, Internet of Things and Energy Efficiency. For further information, please visit www.ssgill.me.

Part I Healthcare

Chapter 1 ◾ Machine Learning-Based Prediction of Thyroid Disease

Tanjina Rhaman and Sukhpal Singh Gill

Chapter 2 ◾ HeartGuard: A Deep Learning Approach for Cardiovascular Risk Assessment Using Biomedical Indicators Using Cloud Computing

Parinaz Banifatemi and Sukhpal Singh Gill

Chapter 3 ◾ Deep Convolutional Neural Networks-Based Skin Lesion Classification for Cancer Prediction

Neelam Rathore and Sukhpal Singh Gill

Chapter 4 ◾ Explainable AI for Cancer Prediction: A Model Analysis

Aswin Kumar Govindan and Sukhpal Singh Gill

Chapter 5 ◾ Machine Learning-Based Web Application for Breast Cancer Prediction

Shabnam Manjuri and Sukhpal Singh Gill

Part II Natural Language Programming (NLP)

Chapter 6 ◾ Machine Learning-Based Opinion Mining and Visualization of News RSS Feeds for Efficient Information Gain

Jairaj Patil and Sukhpal Singh Gill

Part III Economics and Finance

Chapter 7 ◾ Advanced Machine Learning Models for Real Estate Price Prediction

Satyam Sharma and Sukhpal Singh Gill

Chapter 8 ◾ Stock Market Price Prediction: A Hybrid LSTM and Sequential Self-Attention-Based Approach

Karan Pardeshi, Sukhpal Singh Gill, and Ahmed M. Abdelmoniem

Chapter 9 ◾ Federated Learning for the Predicting Household Financial Expenditure

Ho Kuen Lai, Ahmed M. Abdelmoniem, and Sukhpal Singh Gill

Part IV Computing and Business

Chapter 10 ◾ Deep Neural Network-Based Prediction of Breast Cancer Using Cloud Computing

Sindhu Muthumanickam and Sukhpal Singh Gill

Chapter 11 ◾ Performance Analysis of Machine Learning Models for Data Visualisation in SME: Google Cloud vs. AWS Cloud

Jisma Choudhury and Sukhpal Singh Gill

Part V Security and Edge/Cloud Computing

Chapter 12 ◾ Enhancing Data Security for Cloud Service Providers Using AI

Muhammed Golec, Sai Siddharth Ponugoti, and Sukhpal Singh Gill

Chapter 13 ◾ Centralised and Decentralised Fraud Detection Approaches in Federated Learning: A Performance Analysis

Shai Lynch, Ahmed M. Abdelmoniem, and Sukhpal Singh Gill

Contents ◾ vii

Chapter 14 ◾ AI-Based Edge Node Protection for Optimizing Security in Edge Computing

Muhammed Golec, Waleed Ul Hassan, and Sukhpal Singh Gill

Part VI Telecom Sector and Network

Chapter 15 ◾ Predictive Analytics for Optical Interconnection Network Performance Optimisation in Telecom Sector

Suganya Senguttuvan and Sukhpal Singh Gill

Part VII Emotional Intelligence

Chapter 16 ◾ Machine Learning-Based Emotional State Inference Using Mobile Sensing

Diogo Mota, Usman Naeem, and Sukhpal Singh Gill

Part VIII Internet of Things (IoT) and Mobile Applications

Chapter 17 ◾ Social Event Tracking System with Real-Time Data Using Machine Learning

Muhammad Usman Nazir and Sukhpal Singh Gill