Fundamental Of Artificial Intelligence And Machine Learning

Prof. Ravindra R. Agrawal is an academician, entrepreneur, and researcher with extensive experience in Information Technology, Artificial Intelligence, Machine Learning, Cybersecurity, and Higher Education.
Prof Agrawal is providing technology solutions and digital transformation services to businesses. He has also served as an Assistant Professor in Bharati Vidyapeeth University and mentoring undergraduate and postgraduate students in Artificial Intelligence, Computer Networks, Cybersecurity, and Entrepreneurship.
Currently pursuing doctoral research in the field of Artificial Intelligence, his research focuses on "Real-Time Concept Drift Detection in Banking AI Models." He is passionate about bridging the gap between academic concepts and industry applications of AI and Machine Learning. Through this book, he aims to provide students, educators, and professionals with a practical and easy-to-understand approach to AIML concepts, algorithms, and real-world applications.

Dr. Ekta Sarda has 19years of UG and 10 years of PG teaching experience. She is approved PG and PhD Guide in D.Y Patil Deemed to be University, Nerul, Navi Mumbai Her area of specialization is Artificial Intelligence and Machine learning, Pattern Recognition and image processing. She has published research papers in 10 Journals, 2 book chapter in Springer, 10 International Conferences and 15 National Conferences in India. She has published a textbook titled “Computer Networks” and “Database Management System” based on the Rajasthan Technical University Kota, syllabus for second year and third year Students. She is manuscript reviewer of many Indian and International Journals. She has been a conference chair, session chair and reviewer of many National and International conferences. She has delivered invited talks and conducted workshops in the domain of Machine Learning and Image Processing. She has registered 5 copyright and 2 patents published and 1 accepted. She has received funding a Minor Research grant from University of Mumbai.

Dr. Nilesh Eknath Yadav is an Assistant Professor in the Department of Computer Engineering at K. J. Somaiya Institute of Technology, Sion, Mumbai. He holds a Ph.D. and an M.E. in Computer Engineering, with specialization in Web Security using Artificial Intelligence (AI). He possesses over 20 years of professional experience, including 6 years of industrial experience at L&T Infotech, where he served as a Project Leader in Software Application Development, and more than 14 years of teaching experience in higher education.

Dr. Yadav's areas of expertise include Software Engineering, Web Technologies, Artificial Intelligence, Web Security, and related domains of Computer Engineering. He is the copyright holder of a novel Deep Learning-based model developed for mitigating SQL Injection (SQLI) web attacks. He has published numerous research papers in reputed international journals and conferences indexed in Scopus. He is a certified J2EE professional, holding both SCJP and SCWCD5 certifications. Dr. Yadav has also authored renowned book chapters published in prestigious book series by Taylor & Francis and Springer.

His research interests encompass Artificial Intelligence, Gen AI, Web Application Security, and Intelligent Software Systems.

Dr. Swapnil Ramesh Shinde is a faculty member of Department of Artificial Intelligence and Machine Learning in the Department of Engineering and Technology, Bharati Vidyapeeth (Deemed to be University), Kharghar. He has an overall experience of 17yrs with 14.5yrs of Experience in the Education field and 2.5yrs of Industry Experience. He has worked on real time projects in the domain of Artificial Intelligence and Machine learning providing solutions to key real time problems. He has a wide research experience of 15 yrs and has published more than 20 research papers in Reputed International and National Journals and Conferences. His expertise lies in the area of Machine learning, Deep Learning, Image and Vision Computing, Biometrics security and Medical Imaging. He has published a book titled “Infrastructure Security” based on the Mumbai University Syllabus for Sem VII students. He has registered 3 copyrights and has received a Minor Research grant from University of Mumbai. Dr Shinde has also published many book chapters in reputed publication of IGI Global under the security theme.

Prof. Rupali Dinesh Sharma is a dedicated faculty member in the Information Technology Department with more than 20 years of experience in engineering education. She has been actively engaged in teaching, mentoring students, curriculum development, and academic administration, contributing significantly to the advancement of technical education.
Prof. Sharma is the author of well-recognized academic books, including Data Warehousing and Mining (DWM) and Advanced Microprocessors and Microcontrollers. Her areas of expertise include Artificial Intelligence, Machine Learning, Data Analytics, Data Mining, and emerging information technologies. She has published research papers in reputed national and international journals and conference proceedings and has actively participated in Faculty Development Programs, workshops, seminars, and technical training initiatives.
Through her book Fundamentals of AI and ML, Prof. Sharma aims to provide students, researchers, and professionals with a strong understanding of the core concepts, algorithms, and practical applications of Artificial Intelligence and Machine Learning. Her work reflects a commitment to promoting innovation, analytical thinking, and industry-relevant technical skills in the modern digital era.