Implications, Policies, and Frameworks of Intelligent Computing for a Sustainable Future

Computing technologies are evolving at an unprecedented pace, reshaping how societies communicate, learn, work, and solve complex challenges. Advances in artificial intelligence, data science, cybersecurity, cloud computing, gaming technologies, and intelligent networks are creating new opportunities for innovation while transforming industries and everyday life. These technologies are increasingly being applied to address critical issues related to economic development, environmental sustainability, healthcare, education, and public services. At the same time, their rapid adoption raises important questions concerning security, ethics, governance, and long-term societal impact. Understanding both the opportunities and challenges associated with emerging computing technologies is essential for building a more sustainable and technologically resilient future. Implications, Policies, and Frameworks of Intelligent Computing for a Sustainable Future explores recent advances in intelligent computing and their applications across diverse sectors and real-world environments. This book examines emerging developments in artificial intelligence, machine learning, cybersecurity, data science, gaming technologies, cloud computing, IoT, and digital communication systems, highlighting their potential to drive innovation and sustainable development. Alongside technological progress, it addresses the societal, ethical, policy, and governance considerations that accompany the deployment of next-generation technologies. Covering topics such as real-time critical infrastructure defense, convolutional neural networks, and intelligence firewalls, this book is an indispensable academic resource for graduate and doctoral students, AI researchers, data scientists, cybersecurity professionals, software engineers, systems architects, cloud computing specialists, policymakers, and more.

Anchit Bijalwan is a distinguished academician, researcher, consultant, and trainer specializing in advanced technologies and pedagogy for a diverse range of researchers and educators in higher education. Currently, he serves as an Associate Professor and leads the Computing, Games, and Data Science Academic Research Cluster (CGDS ARC) at British University Vietnam. With a robust track record in research and community service, Dr. Anchit has successfully completed numerous projects that bridge the gap between academia and real-world application. He is the author of two influential books, *Advanced Java Programming* and *Network Forensics: The Privacy and Security*, and has edited eight additional volumes. His prolific contributions to his field include over fifty research papers published in esteemed, high-index international journals and conferences, with a keen focus on Privacy and Security in cyber forensics. Dr. Anchit is a dynamic presence at international workshops and conferences, where he has delivered keynote addresses in countries such as the UK, Germany, Spain, El Salvador, Vietnam, and India. He is a proud member of the Association for Computing Machinery (ACM) and a senior member of IEEE (Vietnam). In recognition of his outstanding contributions, Dr. Anchit received the ‘International Research Award’ from the International Research Association in London, UK, in 2021 for his book and research project endeavors. He was also honored with the Vice-Chancellor Best Researcher Award by British University in 2023 and Research award in 2024.

Ali Al-Dulaimi received the B.Eng. and M.Sc. degrees in electronics and communications engineering from the University of Baghdad, Iraq, in 1998 and 2001, respectively, and the M.Eng. degree in quality systems engineering and the Ph.D. degree in electrical and computer engineering from Concordia University, Montreal, Canada, in 2016 and 2020, respectively. He contributed as a Postdoctoral Research Fellow to a collaborative project between Concordia and York Universities and was the Lead Instructor for the Community Initiatives Support Program in Montreal, from 2018 to 2020. From 2022 to 2024, he was the Quality and Project Manager of the Berries Group, London, ON, Canada, after leading a field research team with Tiger Produce Canada. He is currently an Associate Professor and the Head of the School of Computing and Innovative Technologies, British University Vietnam (BUV). His research focuses on developing innovative prognostic health management (PHM) methodologies and algorithms, leveraging advanced deep learning techniques to enhance fault diagnosis and failure prognosis in dynamic systems. By integrating deep learning with stochastic filtering and forecasting, he significantly contributes to maintenance engineering and quality assurance, improving system reliability, and operational efficiency across various industries. His scholarly pursuits foster a deeper understanding of predictive analytics in engineering and health management systems, including developing general-purpose theories in machine learning through advanced deep learning techniques.