Hamid Yassin Adem
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Hamid Yassin Adem is an Australian Computer Scientist. He was educated at the UniSA, UMAS, CMU, and MIT. His research interest is mainly in Biologically Inspired Systems such as Artificial Homeostatic, Artificial Neural Networks and Cognitive Software Architecture Methods. He is mainly known for his contribution in "Cognitive Business Process Engineering" by which he was able to integrate the computational representation of a business process with human cognition. This has inspired the creation of CASE tool that integrates the computational view with a diverse cognition views of a business process.
Cognitive Business Process Engineering (CBPE) is based both on human cognition theories such ACT-R, and rigorous semantic representation such as predicate calculas, conceptual graphs, petri nets ... etc. This methodology enables to represent multi-cognitive orientation via a unified framework that promotes a unified understanding of a business process by diverse stake holders, automated business process implementation engines (CASE, Code generaters ... etc) and automated multimedia scene generators. This methodolgy was used in the creation of a congitive CASE tool that captures a business process and present this multi-views for all the stake holders. Furthermore, the CBPE is used in the generation of Business Process documentation as well as in the automated implementation of this business process. The major contributions of this methodology are: - Its efficiency in implementing a rigorous business process with very few iterations - The integration of the diverse orientation and goals of the stake-holders - Representation of business process in cognitive formats - CBPE can be used as driving engines for the next generation Cognitive CASE Tools - CBPE is used to represent and process organization knowledge management - CBPE is currently used in the modeling of Distributed Multi-Agents Systems - CBPE is now used in the Modeling of Semantic Web Infrastructures - CBPE is used as driving engines for next generation Intelligent Workflow Engines
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