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Artificial Intelligence, Machine Learning and Data Science: Research Perspectives and Emerging Applications
Himani Adsar, Dr. Ramesh Shahabade, Dr Shudhodhan Bokefode, Dr. Rohini Palve and Mrs. Ujwala Suhas Chavan
Format
Paperback and e – book
ISBN
978-81-69295-22-2
DOI
doi.org/10.5281/zenodo.22910440
Pages
250 Pages
Price
Rs. 1000/- ( $80 )
Artificial Intelligence (AI), Machine Learning (ML), and Data Science have emerged as transformative fields that are reshaping research, industry, and society. The rapid advancement of intelligent algorithms, computational technologies, and data-driven methodologies has created new opportunities for solving complex problems, improving decision-making, and developing innovative solutions across diverse domains. The book Artificial Intelligence, Machine Learning and Data Science: Research Perspectives and Emerging Applications provides a comprehensive academic overview of these interconnected disciplines. It brings together fundamental concepts, contemporary research perspectives, methodologies, and emerging applications to help readers understand both the theoretical foundations and practical significance of intelligent and data-driven technologies. The chapters cover important areas including machine learning, data analytics, deep learning, intelligent systems, predictive modeling, emerging AI applications, and future technological developments. The book also addresses current challenges, research opportunities, and the growing importance of interdisciplinary approaches. Through these perspectives, readers can gain insight into how AI, ML, and Data Science are being applied to address real-world problems in healthcare, education, business, finance, agriculture, engineering, and other sectors. This book is intended for undergraduate and postgraduate students, research scholars, academicians, educators, technology professionals, and readers interested in the rapidly evolving landscape of intelligent technologies. It can serve as a useful reference for academic learning, research development, and exploring emerging technological trends. As AI, ML, and Data Science continue to evolve, continuous research, responsible innovation, and interdisciplinary collaboration will be essential. It is hoped that this book will encourage readers to explore new research directions, develop innovative applications, and contribute to the responsible advancement of intelligent and data-driven technologies.
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Dr. Ramesh Shahabadeis an Assistant Professor in the Department of Computer Science & Engineering at the Terna Engineering College Nerul, Navi Mumbai, Maharashtra, India. His areas of interest in teaching and research publication include Mobile computing, IoT (Internet of Things), Cloud computing, AI & ML. He is a well-known academician in the field of Computer Engineering and Information Technology. He takes an active involvement in curriculum enrichment activities, research advice, and academic mentorship.
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Dr Shudhodhan Bokefodeis currently working as an Associate Professor at the MAEER’s MIT College of Railway Engineering and Research, Barshi, Dist. Solapur. He completed his PhD in Computer Science and Engineering from MPU Bhopal and earned his Master’s degree in Computer Science and Engineering from JNTU Hyderabad. He has 18 years of teaching experience, including 16 years with the Terna Group of Institutions. He has published more than 30 research papers in international journals and conferences. His research interests include Machine Learning, Artificial Intelligence, and Deep Learning.
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Dr. Rohini Palve is an Associate Professor in the Department of Computer Engineering at the Terna Engineering College in Navi Mumbai, Maharashtra, India. She had completed Ph. D. (in Electronics Engineering) from Mumbai University and M.E (in Electronics &Telecommunication Engineering) from Mumbai University. She holds B. E. (in Electronics Engineering) from Pune University. She has 27 years of teaching experience. Her research interest areas includes wireless communication, image processing, AI and ML. She has authored 20+ research articles and conference papers in reputed international journals and conferences.
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Mrs. Ujwala Suhas Chavan is an Assistant Professor in the Department of Computer Engineering at the Terna Engineering College Nerul, Navi Mumbai, Maharashtra. She has teaching and research experience in Computer Engineering and Information Technology. Her areas of interest in teaching and research publication include Artificial Intelligence& Soft Computing, Natural Language Processing (NLP), Data structure. She actively participates in academic activities, research, curriculum development, and student mentoring.
Himani Adsar is a Business Data Analyst and Microsoft Power BI Certified professional specializing in data analytics, business intelligence, statistical modeling, and data-driven decision-making. She has professional experience across the USA and India, with expertise in Python, SQL, Power BI, Tableau, Salesforce, SAP, and cloud-based data platforms. She holds a Master of Science in Data Analytics with a concentration in Statistical Modeling from Northeastern University, Boston, and a Bachelor of Engineering in Electronics and Telecommunications from PICT, Pune. Her professional work focuses on transforming complex business data into meaningful insights, developing analytical solutions, and supporting strategic business growth. Through her technical and analytical expertise, she contributes to the application of modern data-driven approaches in industry and emerging technology domains.