{"product_id":"9789819259984","title":"Selected Proceedings from the 3rd International Conference on Intelligent Manufacturing and Robotics, ICiMR 2025, 11-12 Nov., Kuala Lumpur, Malaysia Advances in Intelligent Manufacturing and Robotics","description":"\u003ch3\u003eLecture Notes in Networks and Systems\u003c\/h3\u003e\u003ch1\u003eSelected Proceedings from the 3rd International Conference on Intelligent Manufacturing and Robotics, ICiMR 2025, 11-12 Nov., Kuala Lumpur, Malaysia\u003c\/h1\u003e\u003ch2\u003eAdvances in Intelligent Manufacturing and Robotics\u003c\/h2\u003e\u003ch3\u003eXiaowei Huang | Yang Luo | Mohd Ibrahim Shapiai | Muhammad Hisyam Rosle | Muhammad Amirul Abdullah | Richard Teck Ken Wong | Steven Choon Lih Hoo | Riady Siswoyo Jo\u003c\/h3\u003e\u003cdiv\u003e\u003cb\u003eTechnology \u0026amp; Engineering \/ Electrical\u003c\/b\u003e\u003c\/div\u003e\u003cbr\u003e\u003cdiv\u003e\u003cp\u003eThis book presents proceedings from the 3rd International Conference on Intelligent Manufacturing and Robotics, ICIMR 2025 Held on 11 and 12 November in Kuala Lumpur, Malaysia. This proceedings deliberates on the key challenges, engineering and scientific discoveries, innovations, and advances on intelligent manufacturing and robotics that are non-trivial through the lens of Industry 4.0. In this book, traditional and modern solutions that are employed across the spectrum of various intelligent manufacturing and robotics contexts are presents. The readers are expected to gain an insightful view on the current trends, issues, mitigating factors as well as proposed solutions from this book.\u003c\/p\u003e\u003c\/div\u003e\u003cdiv\u003e\u003cp\u003e\u003cstrong\u003eProf. Xiaowei Huang\u003c\/strong\u003e currently holds the position of Professor of Computer Science at the University of Liverpool, where he leads research in machine learning, formal methods, and robotics. His research expertise encompasses the analysis and development of autonomous systems with a focus on their safety, robustness, trustworthiness, and security properties. \u003cbr\u003e\u003cstrong\u003eDr. Yang Luo\u003c\/strong\u003e is an Assistant Professor at the School of Intelligent Manufacturing Ecosystem in XJTLU. His primary research interest centers on industrial sustainability, with a focus on reducing dependence on fossil-based energy sources through the implementation of intelligent operations and process planning. \u003cbr\u003e\u003cstrong\u003eDr. Mohd Ibrahim Bin Shapiai\u003c\/strong\u003e is an Associate Professor at the Malay-Japan International Institute of Technology (MJIIT), Universiti Teknologi Malaysia, Kuala Lumpur, where he teaches and conducts research in artificial intelligence, machine learning, brain-computer interfaces, and swarm intelligence. He previously served as a lecturer at UTM's main campus in Skudai, Johor.\u003cbr\u003e\u003cstrong\u003eDr. Muhammad Hisyam Rosle\u003c\/strong\u003e received his Bachelor of Engineering and Master of Engineering degrees in Mechanical and Robotics Engineering from Ritsumeikan University, Shiga Prefecture, Japan Since September 2024, he has been a Senior Lecturer at the Malaysia-Japan International Institute of Technology (MJIIT), Mechanical Precision Engineering Department, Universiti Teknologi Malaysia (UTM), Kuala Lumpur, Malaysia. \u003cbr\u003e\u003cstrong\u003eDr. Muhammad Amirul Abdullah\u003c\/strong\u003e is a researcher at the Innovative Manufacturing, Mechatronics \u0026amp; Sports (iMAMS) Laboratory, under the Faculty of Manufacturing and Mechatronic Engineering Technology, Universiti Malaysia Pahang Al-Sultan Abdullah (UMPSA). He completed his PhD in Mechatronics Engineering at UMPSA, with his doctoral research focused on the application of machine learning architectures in sports-related technologies. His research interests include machine learning, robotics, control and automation, and sports engineering. His work bridges artificial intelligence and mechatronic systems to improve sports performance analysis, assistive technologies, and automation solutions.\u003cbr\u003e\u003cstrong\u003eDr. Richard Wong Teck Ken\u003c\/strong\u003e is a Senior Lecturer at Sunway University's School of Engineering. He was trained as a Mechatronic Engineer during his undergraduate study, and he received his DPhil in Engineering Science from the University of Oxford, UK, where his doctoral research focused on \"Speed Control for Low-Energy On-Time Buses,\" which pioneered the application of optimal control algorithms and artificial neural networks in transportation. Dr. Wong's core research area is operational optimisation for sustainability, with a strong focus on computational intelligence and its applications in the fields of robotics and transportation systems.\u003cbr\u003e\u003cstrong\u003eAssoc. Prof. Steven Hoo Choon Lih\u003c\/strong\u003e is a Professional Engineer (BEM), a Chartered Engineer (Engineering Council UK, IMechE), and the HRDCorp Certified Trainer. He obtained his Ph.D in Mechanical Engineering from UKM.\u003cbr\u003e\u003cstrong\u003eAssoc. Prof. Riady Jo\u003c\/strong\u003e is an experienced engineering educator and a robotics and mechatronics engineer by training. He is currently the Programme Leader of Mechatronic Engineering (Robotics) at Sunway University. His research interests include engineering education, robotics, automation, control systems, Internet-of-Things (IoT) applications, AI applications in robotics, small-scale energy harvesting and numerical solutions for non-linear PDEs.\u003c\/p\u003e\u003c\/div\u003e\u003cbr\u003e\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublication Date: \u003c\/td\u003e\n\u003ctd\u003e24 February 2027\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublisher: \u003c\/td\u003e\n\u003ctd\u003eSpringer Nature Singapore\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eImprint: \u003c\/td\u003e\n\u003ctd\u003eSpringer\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eISBN-13: \u003c\/td\u003e\n\u003ctd\u003e9789819259984\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFormat: \u003c\/td\u003e\n\u003ctd\u003eHardback\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePage Count: \u003c\/td\u003e\n\u003ctd\u003e1351\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e","brand":"Springer Nature Singapore","offers":[{"title":"Default Title","offer_id":53274474086540,"sku":"9789819259984","price":404.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9789819259984.tif?v=1791385698","url":"https:\/\/lateknightbooks.com\/products\/9789819259984","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}