Machine Learning, Predictive Analytics, and Optimization in Complex Systems

Ferdin Joe John Joseph, Karthikeyan Chinnusamy, Joseph Jeganathan , Ahmed J. Obaid

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Hardback

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English

IGI Global
27 June 2025

Data capture & analysis; Systems analysis & design; Machine learning

The integration of machine learning, predictive analytics, and optimization techniques revolutionizes the understanding and management of complex systems. From supply chains and energy grids to healthcare and financial markets, these systems are characterized by dynamic interactions, uncertainty, and large data amounts. Machine learning enables insights into data patterns, analytics predict future behaviors, and optimization methods guide decision-making. When combined, these tools offer solutions for enhancing system performance, resilience, and adaptability. As complexity grows, their collaboration becomes vital for creating intelligent, responsive, and sustainable systems. Machine Learning, Predictive Analytics, and Optimization in Complex Systems examines the integration of intelligent technologies into system design and management, and data analysis. It explores strategies for data-informed decisions, intelligent technology utilization, and security optimization. This book covers topics such as computer engineering, smart ecosystems, and system design, and is a useful resource for computer engineers, data analysts, academicians, researchers, and scientists.

Edited by: Ferdin Joe John Joseph, Karthikeyan Chinnusamy, Joseph Jeganathan, Ahmed J. Obaid, S. Suman Rajest
Imprint: IGI Global
Dimensions: Height: 254mm, Width: 178mm, Spine: 22mm
Weight: 889g
ISBN: 9798337352039
Pages: 575
Publication Date: 27 June 2025
Audience: College/higher education , Professional and scholarly , Primary , Undergraduate
Format: Hardback
Publisher's Status: Active

Ferdin Joe John Joseph - EditorDr Ferdin Joe John Joseph is currently an Assistant Professor with the faculty of information technology, Thai Nichi Institute of technology Bangkok. He graduated his bachelor and masters degrees in computer science and engineering from Anna University Chennai during 2009 and 2011 respectively. He got his PhD in Computer Science and Information Systems from the National Institute of Development Administration Bangkok during 2015. His area of research includes deep learning, IoT and Blockchain technology. He has nearly a decade experience in teaching. He has published in peer reviewed international conferences and journals. He is certified as the ""Most Valuable Professional"" (MVP) with Alibaba Cloud since 2021. He is teaching as per academic curriculum to students, recognizing, nurturing the creative potential of each student. Teach students using a systematic instructional methodology comprising lecture plans (following the credit allotted to each subject), discussion groups, seminars, case studies, field assignments, and independent and/or group projects. Recently, he has been the technique program committee, the technique reviews, and the track chair for international conferences published by Springer Series. He is serving in the editor in chief, the editorial board of international journals, and he authored/edited different books and filed so many Patents. Finally, he is a member of ISTE, IET, Etc... Karthikeyan Chinnusamy - EditorProf. Karthikeyan Chinnusamy, Sr Principal with more than 25 years of experience in IT, Product Dev, R&D and Education fields. Fellow IETE, Fellow IE, Sr Member IEEE, Sr Member ACM, Project management Institute (PMI), Reviewer, Editorial Board Member of R&D Journals. Board Member & Program Director SF DAMA. SME in Data Governance, GDPR, HIPAA Compliance, Data Management, Data Architecture, Master Data, Data Quality, AI/ML, Analytics and reporting in Payment processing, Customer, Finance, CRM and License domains. Mentor in SFDC Mig, Data.com, ERP, Architecture, R&D, Embedded systems, VLSI, Adv Information processing. I am also reviewer for IEEE Silicon Valley Sr Member Elevation and Speaker, Volunteer for SFBay ACM. Reviewer of Journals in Springer Nature. Joseph Jeganathan - EditorDr. Joseph Jeganathan earned his Ph.D. in Psychiatric Nursing from Rajiv Gandhi University of Health Sciences, National Consortium for Ph.D. Nursing, (Indian Nursing Council), Bangalore, Karnataka, India in 2019. He completed his Postgraduate studies at the National Institute of Mental Health and Neurosciences, Bangalore, Karnataka, India 2011. He is working as an assistant professor in the Mental Health Nursing Department at the University of Bahrain, Kingdom of Bahrain. He has more than 16 years of Undergraduate and Postgraduate teaching experience. He has worked as a Professor at SGT University, Gurugram, Dept. of Nursing, IES University, Bhopal; Associate Professor Akal College of Nursing, Eternal University, Baru Sahib, India; and also worked as a teaching faculty in various nursing colleges in India and Nepal. Dr. Joseph Jeganathan has published many research articles in National and international Nursing Journals. His areas of research interest are Adolescent mental health, Life skills training, and Substance use disorders.