Adel Ghoneimy

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Big Data applications need a situation aware computing model to manage data, knowledge, and processes in an ever increasing amount, complexity, and speed while reacting as efficiently and timely as possible to any evolving situation. We introduce a Knowledge Intensive Data-processing System (KIDS) that empowers Big Data applications to support situation(More)
The rigid schemas of classical relational databases help users in specifying queries and inform the storage organization of data. However, the advantages of schemas come at a high upfront cost through schema and ETL process design. In this work, we propose a new paradigm where the database system takes a more active role in schema development and data(More)
John Boyd recognized in the 1960's the importance of situation awareness for military operations and introduced the notion of the OODA loop (Observe, Orient, Decide, and Act). Today we realize that many applications have to deal with situation awareness: Customer Relationship Management, Human Capital Management, Supply Chain Management, patient care, power(More)
This paper presents a novel tandem human-machine cognition approach for human-in-the-loop control of complex business-critical and mission-critical systems and processes that are monitored by Internet-of-Things (IoT) sensor networks and where it is of utmost importance to mitigate and avoid cognitive overload situations for the human operators. The approach(More)
Decision making is important for many systems and is fundamental for situation awareness and information fusion. When a decision making process is confronted with new situations, goals and kinds of data, it must evolve and adapt. Highly optimized processes and efficient data structures generally have the disadvantage of having little flexibility or(More)
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