Bentham Science is pleased to announce the release of Advancements in Artificial Intelligence and Machine Learning, a timely publication exploring the transformative role of AI and ML across diverse industries and domains.
This book is a detailed collection of twelve research-backed chapters, each focusing on a key area of artificial intelligence and machine learning, ranging from mechatronics and cybersecurity to digital health and automation. Readers will get insights into the impact of AI-based techniques in power systems, social media management, drone robotics, smart grids, healthcare diagnostics, and crime prevention systems.
Beginning with an overview of AI’s potential in next-generation mechatronics, this volume navigates through the role of AI and deep learning in energy systems, sentiment analysis, image processing, wireless networks, and advanced medical technologies such as brain tumor detection. Each chapter provides practical insights into emerging tools and real-world applications, making this an essential reference for researchers and professionals.
Key Features:
- A multidisciplinary focus on AI and ML applications in robotics, energy, cybersecurity, and healthcare
- Contemporary research exploring intelligent automation and secure systems
- Case-based insights from industry and academia
- Practical guidance on AI-driven innovation, decision-making, and technology implementation
Learn more about this book here: http://bit.ly/4524NYk
For media inquiries, review copies, or interviews, please contact Bentham Science Publishers.
About the Editors
Dr. Asif Khan
Dr. Khan is an Assistant Professor in the Department of Computer Applications at Integral University, Lucknow. He holds a Ph.D. and postdoctoral experience from the University of Electronic Science and Technology of China (UESTC), with over eight years of academic and research experience. His expertise includes artificial intelligence, robotics, and machine learning. He has published over 100 research articles and holds nine patents. Dr. Khan is an active member of IEEE, IAENG, and other professional bodies.
Dr. Mohammad Kamrul Hasan
Dr. Hasan is an Associate Professor at Universiti Kebangsaan Malaysia (UKM), where he leads the Network and Communication Technology Research Lab at the Center for Cyber Security. He earned his Ph.D. in Electrical and Communication Engineering from the International Islamic University Malaysia. His research interests span cybersecurity, Industrial IoT, privacy protection, and transparent AI. He has authored over 150 indexed research publications and serves on editorial boards of top-tier journals including IEEE, Elsevier, and MDPI.
Dr. Naushad Warish
Dr. Warish earned his Ph.D. in Computer Science from the Indian Institute of Technology (ISM), Dhanbad. His specialization includes content-based image retrieval, artificial intelligence, and digital image processing. He has also qualified the UGC-NET and has extensive knowledge of programming languages such as C, C++, and Python. His work bridges core computational theory with practical implementation in AI and ML.
Dr. Mohammed Aslam Husain
Dr. Husain is an Assistant Professor in the Department of Electrical Engineering at Rajkiya Engineering College, Ambedkar Nagar, India. He has held academic positions at Integral University and Aligarh Muslim University. Recipient of the Young Scientist Award (2017) and the Institution of Engineers (India) Young Engineers Award (2022–23), he has authored more than 60 scientific publications. His areas of interest include electrical systems, automation, and AI-driven control systems.