Industry 4.0 Key Technological Advances and Design Principles in Engineering, Education, Business, and Social Applications

Dr. Sagaya Aurelia has over a 20-year career in the teaching profession and has worked with leading engineering colleges, and universities in India, and overseas and currently is working at CHRIST University in Bangalore. She has completed her diploma and bachelor's degree in electronics and communication, Masters’s in information technology, and Doctorate in Computer Science and Engineering. She has completed a Post Graduate Diploma in Business Administration and a diploma in E-commerce Application Development as well. Dr. Aurelia has published more than 20 papers in international journals and conferences and 12 in national conferences. She is a member of the International Economics Development Research Centre and the International Association of Computer Science and Information Technology. Dr. Aurelia is also an Editorial Board Member of the International Organization of Scientific Research and Development Journals and AR Research Publication and Conference World. She has been awarded the Peace Leader and Peace Educator award, from the global mission of the United Nations Global Compact. She has participated in more than 50 seminars and 100 national and international webinars.Dr. Ossama Embarak, a university professor, holds a Ph.D. in Computing with a focus on AI, ML, and data mining from Heriot-Watt University, Edinburgh, UK, conferred in 2012. With over 17 years of extensive experience, he has excelled in teaching, research, project supervision, and fostering industry partnerships. His contributions to the academic realm include numerous publications across journals, conferences, and books, primarily centered on computing and data analytics. Notably, he secured several research grants, a 200k grant to develop a student radar system aimed at detecting fragmentation of knowledge and skills among students, offering valuable recommendations. His adeptness in the field is evident through the acquisition of three SURF grants, applying of ML and AI systems to diverse research domains. Notably, his endeavors encompass measuring the impact of online hybrid teaching on learners’ performance. Dr. Embarak's supervision extends to over 200 industry collaboration projects, some selected for startups, receiving external funding from entities such as the Ministry of Interior, Environment, Tourism, and the Government Chamber of Commerce. His commitment to knowledge dissemination is evident through his delivery of various workshops and seminars on AI, machine learning, privacy, mobile applications, 3D printing, data science, and programming languages like Python and R.

• 1. The Fourth Industrial Revolution: An Overview of Technologies and Socio-Economic Implications, 2. An Insight into the Consensus Protocols and Data Security in IoT Applications Using Blockchain, 3. Technological Advances in Smart Monitoring Imaging Systems Based on Machine Learning, 4. IoT-Based Seaweed Cultivation for a Sustainable Economy, 5. Security Analysis and Planning for Enterprise Networks: Incorporating Modern Security Design Principles, 6. A Comparative Study of Structureless Data Aggregation Protocols in Wireless Sensor Networks (WSNs), 7. HR Analytics: A Model of Modern Human Resource Practices, 8. Technology and Design Advancements: Implementation of Cloud Computing Using a Service-Oriented Architecture (SOA) Model, 9. Redefining Traditional Education Using Augmented Reality and Virtual Reality, 10. AI-Based Automatic Detection of IP Network Performance in Telecommunication, 11. AI-Based Movie Recommendation System, 12. Criminal Investigation Using Deep Learning and Image Processing, 13. Machine Learning Validation for Project Success Multivariate Modeling, 14. Deep Learning Method for Anomaly Detection in Cyber Physical Systems (CPS) and Social Networks, 15. Industry 4.0: Intelligent Routing and Scheduling Algorithm for EV Charging Based on EV Battery Management System, 16. Design of Eco-Friendly Batteries Using PCM, 17. Synthesizing User Comments to Prospective Viral Interests on New Media Using Sentiment Analysis for Effective Data Visualization Premeditated for Journalism 4.0, 18. A Data-Driven Model-Based Application to Interpret Anomalies Utilizing Mutual Information in Satellite Data, 19. A Review of Reinforcement Learning Approaches for Autonomous Systems in Industry 4.0