| description abstract | Established in 2001, Journal of Computing and Information Science in Engineering (JCISE) is the flagship ASME transactions on computational science in engineering. Currently, it is co-sponsored by ASME’s Computers & Information in Engineering Division and Design Engineering Division.The authorship and readership of the journal have grown steadily in the past two decades under the leadership of three editors, Professors Jami Shah, Bahram Ravani, and Satyandra Gupta. The scope of the journal has naturally evolved along with the advancement of computational science and technologies. It covers all main topics of computation related to engineering, such as parallel computation, cloud computing, edge computing, cybersecurity, graphical processing unit, symbolic computing, virtual reality, augmented reality, artificial intelligence, and machine learning. These new computing techniques have been broadly used and extended by the JCISE authors in a wide spectrum of mechanical engineering applications, including product design, manufacturing process design, shape and topology optimization, reliability analysis, modeling and simulation, manufacturing systems, energy systems, machine health monitoring, cyber-physical-social systems, robotics, and engineering information system. Various novel and impactful methods have been published in JCISE, including the subjects of computational geometry, solid modeling, geometric processing, feature recognition, design optimization, knowledge-based engineering, artificial intelligence, machine learning, digitalization, complex systems engineering, computer-aided conceptual design, sustainable design and manufacturing, uncertainty quantification, predictive science, scientific computing, digital twins, multi-scale simulation, multi-physics simulation, design decision making, collaborative engineering, engineering informatics, cybersecurity in manufacturing, computational metrology, reverse engineering, computer-aided manufacturing, process planning, process monitoring, additive manufacturing, robotics in manufacturing, human-computer interface, simulation-based training, human modeling, and human-robot collaborations. | |
