Multidisciplinary Engineering Applications of Artificial Intelligence in Design Control and Infrastructure Systems

Dr. Hannah Vijaykumar, Dr. B. Persis Urbana Ivy, R. Rajkumar, Dr. Nakkeeran G

Indexed In: google scholar

Release Date: 06/09/2025 | Copyright:©2025 | Pages: 513

DOI: 10.71443/9789349552609

ISBN10: 9349552604 | ISBN13: 9789349552609

Hardcover:$300

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'Multidisciplinary Engineering Applications of Artificial Intelligence in Design Control and Infrastructure Systems' explores the transformative role of AI across various engineering disciplines. The book delves into AI’s integration into design processes, enhancing control mechanisms, and optimizing infrastructure systems. By addressing real-world challenges, it provides insights into AI’s capacity to revolutionize design workflows, improve efficiency, and ensure sustainability in infrastructure management. Featuring contributions from experts across fields, this work emphasizes the convergence of AI with civil, mechanical, and electrical engineering to foster innovative solutions and promote smarter, more adaptive engineering systems for the future.

'Multidisciplinary Engineering Applications of Artificial Intelligence in Design Control and Infrastructure Systems' explores the transformative potential of AI across various engineering domains. Focusing on its application in design optimization, system control, and infrastructure management, this book offers a comprehensive look at how AI technologies are reshaping traditional engineering workflows. By featuring interdisciplinary case studies and cutting-edge research, it highlights AI’s role in improving efficiency, decision-making, and sustainability in infrastructure projects. Ideal for engineers, researchers, and professionals, the book emphasizes the convergence of AI with engineering principles to create innovative solutions for modern, adaptive, and resilient infrastructure systems.

Table Of Contents

Detailed Table Of Contents


Chapter 1

Artificial Intelligence in Predictive Maintenance and Failure Diagnosis of Rotating Mechanical Components

Saradha S, Dhananjay S, C B Selva Lakshmi

(Pages:36)

Chapter 2

Deep Learning Based Process Optimization in Additive Manufacturing and Metal Forming Operations

Anish Thomas, Rajkumar Ramasamy, Mohite Madhavi Abhijit

(Pages:34)

Chapter 3

AI Powered Fault Detection and Grid Load Forecasting in Smart Power Distribution Networks

C. M. Jadhao, Janani Kumar, Aayushee G. Kamble

(Pages:35)

Chapter 4

Reinforcement Learning Algorithms for Control Optimization in Embedded and IoT Based Electrical Systems

Ayyasamy Thangaraj, S. Ohmshankar, Varsha Dange

(Pages:37)

Chapter 5

Natural Language Processing and Transformer Models for Intelligent Software Development Tools

R L Jasmine, G. David Raj, A.K. Ashfauk Ahamed

(Pages:32)

Chapter 6

Generative AI and Code Synthesis Frameworks for Automated Software Engineering and Debugging

Jayashree Pradip Tamkhade, Ananthi. M, Arati V. Deshpande

(Pages:31)

Chapter 7

AI Based Structural Health Monitoring and Crack Detection in Concrete Infrastructure

Iyappan G, S. Ohmshankar , Varsha Dange

(Pages:38)

Chapter 8

Machine Learning for Smart Traffic Management and Urban Infrastructure Planning

Jyothi D G, Y Shobha, Mohite Madhavi Abhijit

(Pages:39)

Chapter 9

Artificial Intelligence in Legal Document Analysis and Predictive Case Outcome Modelling

S.E. Viswapriyak, Preethi Ravikumar, A. Sindhu Devi

(Pages:35)

Chapter 10

AI Ethics and Legal Accountability in Engineering Decision Support Systems

Sellamuthu Palanisamy Vijayanand, Prashant Sangulagi, Dhananjay S. Pawar

(Pages:34)

Chapter 11

AI Guided Drug Repurposing and Predictive Pharmacokinetics in Early Phase Clinical Trials

Anuja D, Rupali Rajaram Bathe, Mohite Madhavi Abhijit

(Pages:35)

Chapter 12

Machine Learning in Formulation Development and Optimization of Controlled Drug Delivery Systems

Rekha Ravindran, Santhanalakshmi Muthusamy, Arasavelli Ananda Mohan

(Pages:36)

Chapter 13

AI Based Diagnostic Imaging and Decision Support for Neurological and Cardiovascular Disorders

N.B. Prakash, G.R. Hemalakshmi, Sellamuthu Palanisamy Vijayanand

(Pages:33)

Chapter 14

Deep Learning for Real Time Patient Monitoring and Emergency Response Prediction in Smart ICUs

Rex Cyril B, Padma P Nimbhore, Jayashri P. Shinde

(Pages:37)

Chapter 15

AI Integration Frameworks for Interdisciplinary Collaboration in Engineering Projects

S Mani Kuchibhatla, Harsha B K, K. Santha Sheela

(Pages:36)

Chapter 16

AI Governance and Regulatory Compliance in Safety Critical Engineering Systems

Mohan B S, S Mani Kuchibhatla, Radhika.V

(Pages:35)

Chapter 17

Sustainable Engineering Design Using AI Driven Multicriteria Decision Making Techniques

S Mani Kuchibhatla,K.B. Anusha, Sangita Gautam Lade

(Pages:36)


Contributions


Dr. Hannah Vijaykumar is working as Associate Professor and Head of the Department of Computer Science, Anna Adarsh College for Women, Chennai having a teaching experience of 29 years. She obtained her MCA and M.Phil from Bharathidasan University and completed her Ph.D from University of Madras. Her research domain is Software Engineering and her areas of interest include Software Metrics and their Constraints, Agile Software Development, Cloud computing architecture and Cyber security. She has published 5 papers in International and National Journals. In addition she has published 4 book chapters and authored 4 books. She has 3 International and 1 National patent in her interest areas. Dr. Hannah Vijaykumar serves as Dean of Computational Studies, Anna Adarsh College for Women, Chennai.

Dr. B.Persis Urbana Ivy, Ph.D., is Professor and Head in the Department of Computer Science and Engineering at Mother Teresa Institute of Engineering and Technology, Palamaner, Andrapradesh. She earned his Ph.D. in the year 2014. She is having 25 Years of experience in Teaching and Research.Her current research interests and more than 65 publications are in the areas of IOT, biomedical,Image processing, mobile computing ,Artificial intelligence and Data Science.

R. Rajkumar is an accomplished academician and innovation trainer with over 14 years of experience in higher education, skill development, and entrepreneurship training. Currently serving as Assistant Professor and Incubation associate at Raja Rajeswari College of Engineering, Bangalore. He has spearheaded various initiatives, including establishing business incubators and outcome-based education programs. A certified Innovation Ambassador and Master Trainer, he actively mentors startups and fosters industry-academia collaboration. Rajkumar holds an M.Tech in Networking and an MBA in Technology Management. His research spans AI, cybersecurity, and IoT. He is a passionate advocate for youth empowerment through innovation and skill-building programs.

Dr. Nakkeeran G is an Assistant Professor in the Department of Civil Engineering at Madanapalle Institute of Technology & Science (MITS), Andhra Pradesh. He is an Editorial Board Member for Scientific Reports (Nature) and an active Innovation Ambassador, fostering research and innovation in sustainable construction. As the Coordinator of the Research & Development Cell and Innovation Cell, he is pivotal in advancing optimization techniques, predictive modeling, and sustainable building materials.Dr. Nakkeeran has an extensive research portfolio with 50 publications, including 20 Web of Science-indexed papers (SCI – 19, ESCI – 11), 20 Scopus-indexed papers, and 10 Scopus-indexed book chapters. His research focuses on waste-to-product innovations, carbon sequestration, 3D concrete printing, machine learning in material science, and building energy analysis. His work has received 250 citations, with an H-index of 9, demonstrating its impact in the field.In addition to his scholarly contributions, Dr. Nakkeeran holds seven design patents and four published patents, covering advancements in paver block designs, interlocking systems, and eco-friendly construction materials. With a strong commitment to scientific collaboration, technology-driven solutions, and sustainability, he actively contributes to academia and industry through high-impact research, patent innovations, and expert guidance in material optimization and structural analysis.


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