This book contains select proceedings papers from the Asia Pacific Computer Systems Conference (APCS 2022). The contents focus on the design and implementation of languages, data models, process models, algorithms, software and hardware for information systems. The chapters also include contributions on data mining and knowledge discovery addressing detailed descriptions of significant applications. This book proves a valuable resource for those in academia and industry interested in computational intelligence, artificial intelligence and automation.
Cuprins
Artificial intelligence & data science.- Computer science, database management systems.- Data mining, modelling, warehousing.- Intelligent systems & optimization.- Data management & analytics.- Data science applications in biomedicine, engineering.- Business intelligence.- Process modelling.- Human-machine collaborative systems.- Pervasive sensing & systems.- Multimedia information systems & technology.
Despre autor
Dr. Anu A. Gokhale is professor and department chairperson at St. Augustine’s University, USA. She has completed thirty years as Faculty and has received several college and university research, teaching, and service awards. Dr. Gokhale was named Fulbright Distinguished Chair in STEM+C at the University of Pernambuco, Brazil, 2016-17; was Faculty Fellow in Israel and Fulbright Specialist in Cybersecurity at Gujarat Technological University, India, in 2017; and was Visiting Professor in College of Business at Shandong University, China, in 2017 where she focused on data analytics and e-commerce. Her achievements encompass extensively cited refereed publications, groundbreaking externally funded research supported by a continuous stream for 20 years of grants from state and federal agencies including the National Science Foundation, and elevation of the ISU student experience through excellence in teaching, mentorship, and the creation of opportunities for students to get involved in research. She consults for business and industry to increase productivity using data analytics and leveraging e-technologies. She has delivered multiple workshops focusing on inclusion and diversity as well as “STEM for All” public policy.
Dr. Emanuel S. Grant received his B.Sc. from the University of the West Indies, MCS from Florida Atlantic University, and Ph.D. from Colorado State University, all in Computer Science. Since 2008, he is Associate Professor in the Department of Computer Science and the School of Electrical Engineering and Computer Science at the University of North Dakota, USA, where he started as Assistant Professor in 2002. He currently serves as Associate Director of the School of Electrical Engineering and Computer Science. His research interests are in software development methodologies, formal specification techniques, domain-specific modeling languages, model-driven software development, and software engineering education. Dr. Grant has conducted research in software engineering teaching with collaborators from Holy Angel University, Philippines; HELP University College, Malaysia; III-Hyderabad, India; Singapore Management University, Singapore; Montclair State University, and University of North Carolina Wilmington of the USA; and the University of Technology, Jamaica. He is affiliated with the Software Engineering Method and Theory (SEMAT) organization, as Member of the Essence – Kernel and Language for Software Engineering Methods (Essence) group.
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