Ai-Driven Smart Industrial Technologies

Author:   Maki K. Habib
Publisher:   Engineering Science Reference
ISBN:  

9798369379943


Pages:   415
Publication Date:   23 May 2025
Format:   Hardback
Availability:   In Print   Availability explained
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Ai-Driven Smart Industrial Technologies


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Author:   Maki K. Habib
Publisher:   Engineering Science Reference
Imprint:   Engineering Science Reference
ISBN:  

9798369379943


Pages:   415
Publication Date:   23 May 2025
Audience:   College/higher education ,  Professional and scholarly ,  Tertiary & Higher Education ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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Professor Maki K. Habib obtained his Doctor of Engineering Sciences (DES) in Intelligent and Autonomous Robotics from the University of Tsukuba, Japan. Professor Habib is specialized in the area of Robotics and Mechatronics. He was selected as a research scientist at RIKEN, Japan, Senior researcher at RISO-Laboratories, Japan, and visiting researcher at EPFL, Switzerland. He was a visiting Expert under Asian Development Bank (ADB) serving Malaysian industries, Associate Professor at UTM, Malaysia, and a Senior Manager at MCRIA, Malaysia. He was a leader senior research scientist with GMD-Japan leading the Telecooperation research group. Associate Professor with Monash University (Australia/Malaysia) to develop and lead the Mechatronics Engineering program. He was appointed a Full Professor of Robotics and Mechatronics at Swinburne University (Australia/Malaysia). Then, he was an invited Professor at KAIST, South Korea, Resident Professor at Saga University, Japan. Since Sept. 2007, he has been a Full Professor of Robotics and Mechatronics at AUC. He was and continues to be a consultant and technical advisor to many industrial companies internationally, such as Toyota and ABB. He also worked as a research advisor with a large European research consortium focusing on new development using Robotics and Sensors for humanitarian demining. Professor Habib is editor-in-chief of two (2) international journals, regional editor of two (2) international journals, associate editor of (9) international journals, and Editorial board member of (15) International journals. He was selected as chair, program chair, co-chair, publication chair, and publicity chair of many international conferences. Besides, he is a member of advisory and scientific program committees of more than 40 annual and biannual international conferences. He was Chief Guest Editor of (14) special issues at international journals and organized more than (50) workshops and special sessions at international conferences. He organized and managed three international workshops dedicated to the industry in Robotics and Automation. He collaborates internationally with different research groups associated with research centers and Universities covering: Japan, South Korea, the US, Austria, the UK, Malaysia, etc. In addition, he had more than (60) invited talks at International Conferences, Universities, and Industry. He published (23) books, more than (35) book chapters, more than (80) journal papers, and more than (232) conference papers at the international level. His main research area of interest focuses on1. Development of Nanorobotics systems for biomedical purposes2. Machine Learning and Cancer Detection, Diagnosis, and Analysis3. Human Adaptive and Friendly Mechatronics (HAFM)4. EchoMechatronics and Bioinspired Design5. Service and Autonomous Robots, Humanitarian Demining and Robotics6. Robots for physically impaired people using detected biological signals (EEG and EMG)7. Electrical Autonomous Cars/Vehicles supported by Machine learning techniques8. Industry 4.0, (Internet of Things (IoT), Cyber-Physical Systems (CPSs) and WSNs9. Intelligent Drone Systems: Navigation.10. Telecooperation, Distributed Mixed Realities, and Collaborative Control11. Intelligent and Nonlinear Control.

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