Description
This book presents selected papers from International Conference on Sustainable Computing and Intelligent Systems (SCIS 2025), held on 7-8 November 2025, in University of Canberra, Bruce, Australia. The topics covered in the book are green computing, renewable energy integration, sustainable urban computing, IoT and sustainability, sustainable IoT applications, data analytics for sustainability, internet of things, information security, embedded systems, real-time systems, cloud computing, big data analysis, quantum computing, automation systems, intelligent IoT eHealth, bio-inspired intelligence, brain modeling and simulation, cognitive systems, cyber-physical systems, data analytics, data/web mining, data science, hybrid systems and intelligence for security.
Integrating a knowledge graph into malware detection systems.- Design Optimization and Fabrication of a Lab-Scale Rotor-Stator Homogenizer.- Enhancing Team Collaboration through Social Network Analysis: A Transactive Memory System-Based Visualization Framework.- Mathematical Solution of Interval-valued Trapezoidal Neutrosophic Multi-level Multiobjective Linear Programming Problem.- Performance and Robustness of Distribution Based Neural Networks (DBNN): A Comparative Study.- Energy-Efficient and Reliable Communication Protocols for IoT Networks: A Scientometric Analysis.- A Hybrid Generative AI, DQN, Heuristic Framework for Intelligent Gaming Environments.- Rethinking Multi-Echelon Safety Stock: Breaking Silos with AI-Driven Inventory Optimization for Supply Chain Resilience.- ECG Image Digitization and Classification for Cardiac Abnormality Detection.- Digital Twin-Assisted PVSNs for Next-Generation Automated Solutions: A Technical Survey.- Revealing Neural Dynamics: A Statistical Approach to Brain Activity Across Timescales.- Audio Visual based Action Recognition.- Few-Shot Classification of Coconut Rhinoceros Beetle Infestation in Drone Images using Relation Networks.- An Analytical Comparison of Energy Utilization in the Steel Sector Through the Application of Machine and Deep Learning Models.- Advances in Image Inpainting: A Comparative Study of CNN, GAN, Transformer, and Diffusion-based Models.
Dr. Jagdish Chand Bansal is a professor at South Asian University New Delhi and a visiting faculty at Maths and Computer Science, Liverpool Hope University UK. Dr. Bansal has obtained his Ph.D. in Mathematics from IIT Roorkee. Before joining SAU New Delhi, he has worked as an assistant professor at ABV-Indian Institute of Information Technology and Management Gwalior and BITS Pilani. His Primary area of interest is Swarm Intelligence and Nature Inspired Optimization Techniques. Recently, he proposed a fission-fusion social structure-based optimization algorithm, Spider Monkey Optimization (SMO), which is being applied to various problems from engineering domain. He has published more than 70 research papers in various international journals/conferences. He is the editor in chief of the journal MethodsX published by Elsevier. He is the series editor of the book series Algorithms for Intelligent Systems (AIS) and Studies in Autonomic, Data-driven and Industrial Computing (SADIC) published by Springer. Dr. Hussain is working at University of Canberra as an associate professor of Biomedical Robotics. Prior to that he has worked as a lecturer at University of Wollongong, Australia. Dr. Hussain has obtained his Ph.D. in Mechanical Engineering from the University of Auckland, New Zealand, in 2013. His research interests include assistive and rehabilitation robotics, compliant actuation of robots, robot mechanism design and optimization, non-linear dynamics and control of robotic systems, human-robot interaction, biomechanical modelling, engineering education and micro electro-mechanical systems (MEMS). Dr. Hussain has published more than 65 papers in the prestigious journals of the field.
Prof. Prashant K. Jamwal earned Ph.D. degree and a post-doctoral fellowship from the University of Auckland, New Zealand. Earlier, he had obtained M.Tech. from I.I.T., India, securing first position in all the disciplines and B. Tech. from MNREC, Allahabad, India. Presently, he is working as a professor at the school of engineering and design sciences, Nazarbayev University (NU), Astana, Kazakhstan and as adjunct professor at University of Canberra, Australia. He is actively pursuing research in robotics and artificial intelligence, multi-objective evolutionary optimization, biomedical engineering, and Renewable energy. Over the past decade, he has applied his research in the development of medical robots for rehabilitation and surgical applications besides developing improved algorithms for cancer data analytics. Prof. Prashant received three prestigious World Bank Grants and has launched two startup companies and established a Center of Excellence in Medical Research and Robotics.
