Artificial Intelligence in Mechatronics and Civil Engineering

Recent studies highlight the application of artificial intelligence, machine learning, and simulation techniques in engineering. This book covers the successful implementation of different intelligent techniques in various areas of engineering focusing on common areas between mechatronics and civil engineering. The power of artificial intelligence and machine learning techniques in solving some examples of real-life problems in engineering is highlighted in this book. The implementation process to design the optimum intelligent models is discussed in this book.

Dr. Ehsan Momeni currently works as Assistant Professor in the Faculty of Engineering, Lorestan University, Iran. He received his postdoc from University of Tehran, Iran, and his Ph.D. degree, in Civil-Geotechnics, from Universiti Teknologi Malaysia, Malaysia. His areas of research are foundation engineering, reliability analysis, rock mechanics, and applied artificial intelligence. Dr. Danial Jahed Armaghani is currently working as Research Associate at the School of Civil and Environmental Engineering, University of Technology Sydney (UTS), Australia. He received his postdoc from Amirkabir University of Technology, Tehran, Iran, and his Ph.D. degree, in Civil Geotechnics, from Universiti Teknologi Malaysia, Malaysia. His areas of research are tunneling, rock mechanics, piling technology, blasting environmental issues, applying arti?cial intelligence, and optimization algorithms in different areas of civil engineering.

Dr. Aydin Azizi holds a Ph.D. degree in Mechanical Engineering-Mechatronics, an M.Sc. in Mechatronics, a B.Sc. in Mechanical Engineering-Heat & Fluids and certified as Official Instructor for the Siemens Mechatronic Certification Program (SMSCP). He currently serves as Senior Lecturer at the Oxford Brookes University. His current research focuses on investigating and developing novel techniques to model, control, and optimize complex systems. Dr. Azizi's areas of expertise include control & automation, artificial intelligence, and simulation techniques. Dr. Azizi is Recipient of the National Research Award of Oman for his AI-focused research, DELL EMC's 'Envision the Future' competition award in IoT for 'Automated Irrigation System', and 'Exceptional Talent' recognition by the British Royal Academy of Engineering.

Auteur

Dr. Ehsan Momeni currently works as Assistant Professor in the Faculty of Engineering, Lorestan University, Iran. He received his postdoc from University of Tehran, Iran, and his Ph.D. degree, in Civil-Geotechnics, from Universiti Teknologi Malaysia, Malaysia. His areas of research are foundation engineering, reliability analysis, rock mechanics, and applied artificial intelligence. Dr. Danial Jahed Armaghani is currently working as Research Associate at the School of Civil and Environmental Engineering, University of Technology Sydney (UTS), Australia. He received his postdoc from Amirkabir University of Technology, Tehran, Iran, and his Ph.D. degree, in Civil Geotechnics, from Universiti Teknologi Malaysia, Malaysia. His areas of research are tunneling, rock mechanics, piling technology, blasting environmental issues, applying arti cial intelligence, and optimization algorithms in different areas of civil engineering.

Dr. Aydin Azizi holds a Ph.D. degreein Mechanical Engineering-Mechatronics, an M.Sc. in Mechatronics, a B.Sc. in Mechanical Engineering-Heat & Fluids and certified as Official Instructor for the Siemens Mechatronic Certification Program (SMSCP). He currently serves as Senior Lecturer at the Oxford Brookes University. His current research focuses on investigating and developing novel techniques to model, control, and optimize complex systems. Dr. Azizi's areas of expertise include control & automation, artificial intelligence, and simulation techniques. Dr. Azizi is Recipient of the National Research Award of Oman for his AI-focused research, DELL EMC's "Envision the Future" competition award in IoT for "Automated Irrigation System", and "Exceptional Talent" recognition by the British Royal Academy of Engineering.