Smart Computing Paradigms: Intelligent Solutions for Sustainable Wellbeing
Description
This book presents best-selected papers presented at the 7th International Conference on Smart Computing and Informatics (SCI 2025), held at the School of Engineering and Technology (SET), Sunway University, Selangor, Malaysia, during 8 - 9 April 2025. It presents advanced and multidisciplinary research towards the design of smart computing and informatics. The theme is on a broader front and focuses on various innovation paradigms in system knowledge, intelligence and sustainability that may be applied to provide realistic solutions to varied problems in society, environment and industries. The scope is also extended towards the deployment of emerging computational and knowledge transfer approaches, optimizing solutions in various disciplines of science, technology and healthcare. The work is published in four volumes.
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Vikrant Bhateja is associate professor in Department of Electronics Engineering, Faculty of Engineering and Technology (UNSIET), Veer Bahadur Singh Purvanchal University, Jaunpur, Uttar Pradesh, India. He is also serving as Head: Computer Sc. Engg. & Information Technology in the same university. He holds a doctorate in ECE (Bio-Medical Imaging) with a total academic teaching experience of 21 years with around 190 publications in reputed international conferences, journals and online book chapter contributions; out of which 40 papers are published in SCIE indexed high impact factored journals. One of his papers published in Review of Scientific Instruments (RSI) Journal (under American International Publishers) has been selected as "Editor Choice Paper of the Issue'' in 2016. He has been Editor-in-Chief of IGI Global--International Journal of Natural Computing and Research journal from 2017-22. He is guest editor in journals like: Elsevier: Measurement, Springer: Evolutionary Intelligence. He is Senior Member of IEEE and Life Member of CSI.
Angela Lee Siew Hoong is Deputy Dean (Employability & Alumni) at the School of Engineering and Technology, Sunway University, Malaysia. Prof Angela Lee has been developing data science curriculum more than 10 years, and she is the key person to introduce Data Science degree at Sunway University. She was recently awarded the National Outstanding Educator Award and SAS Global Forum Distinguished Educator Award for Asia Pacific Category. She regularly speaks at data science conferences. Angela has developed many innovative ways to use analytics and data science tools from the most elementary level to advanced analytics. She teaches Social Media Analytics, Visual Analytics, Advanced Analytics and Business Intelligence and has authored many published international journals in the area of churn analytics, sentiment analysis and predictive analytics.
William Yeoh is a Professor at Hong Kong Metropolitan University. Previously, he served at Deakin University and was the Innovation Lead at the Deakin Cyber Research and Innovation Centre. Before joining Deakin, he was the Deputy Dean (R&D and Postgraduate Programs) at University Tunku Abdul Rahman. His scholarship has been published in top journals, including 35A*/A ABDC-ranked journals and leading conferences. His expert opinions have been featured in national news outlets such as ABC Radio, SBS News, the Australian Financial Review, and The New Daily. His research, teaching, and service have been recognised with national and international awards, including: The Researcher of the Year Award (a national award presented by the Australian Information Security Association), The ICT Educator of the Year Gold Award (a national award by the Australian Computer Society), Deakin Vice-Chancellor's Award for Value Innovation (in recognition of his leadership of the IBM Centre of Excellence in Business Analytics), Two-time internationally competitive IBM Faculty Awards, Deakin Faculty Research Excellence Award, and Australia's Top 25 Analytics Leaders (awarded by the Institute of Analytics Professionals of Australia). He is also a Fellow of the Australian Computer Society (ACS).
Muhammad Ehsan Rana is a highly accomplished academic professional with an extensive background spanning over 20 years in academic management, lecturing, and quality assurance. He holds a PhD in Software Engineering from Universiti Putra Malaysia and possesses additional qualifications including a PGD in Quality Management, an MSc in Mathematics, and a master's degree in computer science. Currently serving as an Associate Professor at the Asia Pacific University of Technology & Innovation (APU) Malaysia, Dr Muhammad Ehsan Rana is responsible for teaching, conducting research, and engaging with industry and professional bodies. Dr Ehsan continues to make significant contributions to the field through his active research pursuits. His areas of focus include Software Architecture, Cloud Computing, IoT, and Blockchain. With his keen intellect and innovative thinking, he has authored and co-authored over 100 journal papers, conference publications, and book chapters, showcasing his dedication to advancing knowledge and driving progress in these cutting-edge areas.
William Yeoh is a Professor at Hong Kong Metropolitan University. Previously, he served at Deakin University and was the Innovation Lead at the Deakin Cyber Research and Innovation Centre. Before joining Deakin, he was the Deputy Dean (R&D and Postgraduate Programs) at University Tunku Abdul Rahman. His scholarship has been published in top journals, including 35A*/A ABDC-ranked journals and leading conferences. His expert opinions have been featured in national news outlets such as ABC Radio, SBS News, the Australian Financial Review, and The New Daily. His research, teaching, and service have been recognised with national and international awards, including: The Researcher of the Year Award (a national award presented by the Australian Information Security Association), The ICT Educator of the Year Gold Award (a national award by the Australian Computer Society), Deakin Vice-Chancellor's Award for Value Innovation (in recognition of his leadership of the IBM Centre of Excellence in Business Analytics), Two-time internationally competitive IBM Faculty Awards, Deakin Faculty Research Excellence Award, and Australia's Top 25 Analytics Leaders (awarded by the Institute of Analytics Professionals of Australia). He is also a Fellow of the Australian Computer Society (ACS).
Muhammad Ehsan Rana is a highly accomplished academic professional with an extensive background spanning over 20 years in academic management, lecturing, and quality assurance. He holds a PhD in Software Engineering from Universiti Putra Malaysia and possesses additional qualifications including a PGD in Quality Management, an MSc in Mathematics, and a master's degree in computer science. Currently serving as an Associate Professor at the Asia Pacific University of Technology & Innovation (APU) Malaysia, Dr Muhammad Ehsan Rana is responsible for teaching, conducting research, and engaging with industry and professional bodies. Dr Ehsan continues to make significant contributions to the field through his active research pursuits. His areas of focus include Software Architecture, Cloud Computing, IoT, and Blockchain. With his keen intellect and innovative thinking, he has authored and co-authored over 100 journal papers, conference publications, and book chapters, showcasing his dedication to advancing knowledge and driving progress in these cutting-edge areas.
Content
Evaluation of ACL Tears in Knee with MRI Scanning system using Transformer and Deep Learning.- Bayesian and Box Behnken Design for XGboost Hyperparameters on Energy Consumption Profile Model Optimisation.- Automated Greenhouses: IoT-Driven Climate Control.- Speech Emotion Recognition Using a CNN-Transformer Approach on Diverse Datasets.- Ensemble Learning for Automated Recognition of Candlestick Patterns in Financial Markets.- Integrating AI and NLP for Adaptive Mental Health Chatbots: A Hybrid Approach.- AI Systems Real-Time Focused Screening of Diabetic Retinopathy Using Deep Learning.- Optimizing Pothole Detection Using YOLO Variants: v5, v7, and v8 Performance Benchmark.- Advancements in Astronaut Health Monitoring Technologies.- Melanoma Tumor Size Prediction: A Comparative Study on the Effectiveness of Different Machine Learning Models.
