Artificial Intelligence for Cloud-Native Software Engineering - Softcover

Softcover

ISBN 13: 9798369393574

Publisher: Engineering Science Reference, 2025

Synopsis

Artificial intelligence is transforming software engineering by automating development, testing, deployment, and security processes, leading to more efficient and high-quality software solutions. AI-powered tools enhance scalability, reliability, and real-time analytics, enabling businesses to optimize operations and improve decision-making. As cloud-native architectures gain traction, AI-driven innovations are reshaping the way software is designed, maintained, and evolved, driving a new era of intelligent and adaptive technology solutions. Artificial Intelligence for Cloud-Native Software Engineering explores the transformative impact of AI on the software engineering lifecycle, highlighting its role in automating and enhancing various stages of software development. It provides a comprehensive overview of how AI technologies can assist software architects and engineers in creating high-quality, enterprise-grade software efficiently. Covering topics such as source code creation, data security, and multiparameter optimization, this book is an excellent resource for software engineers, computer scientists, professionals, researchers, scholars, academicians, and more.

About this title

About the Authors

Pethuru Raj PhD is working at the Edge AI division of Reliance Jio Platforms Ltd. (JPL) Bangalore. Previously. worked in IBM Global Cloud Centre of Excellence (CoE), Wipro consulting services (WCS), and Robert Bosch Corporate Research (CR). I have gained over 23 years of IT industry experience and 9 years of research experience. Finished the CSIR-sponsored PhD degree at Anna University, Chennai and continued with the UGC-sponsored postdoctoral research in the Department of Computer Science and Automation, Indian Institute of Science (IISc), Bangalore. After that, I was granted two international research fellowships (JSPS and JST) to work as a research scientist for 3.5 years in two leading Japanese universities. I am focusing on some of the emerging technologies such as the Internet of Things (IoT), Artificial Intelligence (AI) Model Optimization Techniques, Prompt Engineering for Large Language Models (LLMs), Efficient, Explainable and Edge AI, Blockchain, Digital Twins, Cloud-native and Edge computing, Green and Generative AI, Reliability and Platform Engineering, 5G/6G, etc.

Ramamurthy Venkatesh has industry experience of about 33 years. He is currently heading NETS International Communications, a regional System Integrator for IT/Telecom services as CEO with more than 230+ employees, serving leading telcos and enterprises. NETS is one of the reputed UAE-based system integrators providing new-generation Infrastructure Solutions and Digital Solutions covering Enterprise IT, Cloud, Cybersecurity, Automation and Managed Services and Solutions. After graduating as a telecommunication engineer, he started his six-year short services career as an Indian Air Force officer in 1988. His later engagements in India include roles such as Technical Head Product Manager, and Manager -Projects for another ten years with some of the leading telecom service providers. After moving to UAE in 1999, he was employed with the region’s leading telecom services provider – Etisalat for 15 years. During this tenure, his responsibilities and roles included Project Management of Fixed & Mobile Network rollout projects and vendor and partner management till year 2014. Then he joined NETS International Group with offices in multiple countries and currently as CEO of NETS UAE, he is leading an enthusiastic team of Senior managers and Business Unit heads for driving high-performance business deliverables through the delivery of a portfolio of digital solutions and services. With a keen passion for teaching and mentoring, he is also visiting/adjunct faculty in select B-Schools in India and UAE including SP Jain Global, MAHE Manipal, Skyline University, Westford School of Management and corporate training programs. His research interests include cloud IoT, Blockchain, AI/ML, Quantum computing, Cybersecurity and so on.

N.A. Natraj is an Assistant Professor at SIDTM in Symbiosis International University, India. My academic chronicles include Ph, D. in Electronics and Communication Engineering from Karpagam Academy of Higher Education, Coimbatore. I have 12 years of Teaching and Research experience in the Institutes of India and Zambia. My research interests include Wireless Sensor Networks, the Internet of Things, 5G, Communication Networks, Machine Learning and Blockchain. I hold publications in reputed Journals and have published patents in the mentioned research fields. I have completed certifications in domains like 5G, IoT, Digital Forensics and Blockchain from various organizations like Stanford, Europe Open University, Qualcomm, University of London, etc.

Rathinaraja Jeyaraj is a post-doctoral fellow at the University of Houston-Victoria, Texas, USA. Previously, I was a post-doctoral associate at the Kyungpook National University, Daegu, South Korea. I received my PhD in Distributed Systems from the Department of IT, National Institute of Technology Karnataka, India. I have Collaborated and assisted in developing research proposals with professors in the University of Pittsburgh, Florida International University, and the University of Houston. I have completed multiple research projects at the School of Computer Science and Engineering, Kyungpook National University and have published them in various reputed journals. Unboxing, manipulating and applying machine and deep learning algorithms to solve problems in cloud-IoT, CV, NLP, and interdisciplinary research domains, although broad, capture my current research interests most accurately. These rapidly growing avenues are promising prospects to expand my current expertise while applying my knowledge, skills, and experience gained post-Ph.D.

Edition details

• Publisher: Engineering Science Reference
• Publication date: 2025
• ISBN 13: 9798369393574
• Binding: Paperback
• Language: English
• Number of pages: 564
• Editor: Chelliah Pethuru Raj, Venkatesh Ramamurthy, Natraj N.A., Jeyaraj Rathinaraja