Driving Modern Business Intelligence Architecture for Operational Efficiency

Abdelraouf Ishtaiwi, Ahmad Al-Qerem, Mohammad Al Khaldy , Mohammad Alauthman

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English

Business Science Reference
01 August 2025

Production & quality control management; Operational research; Enterprise software; Computer architecture & logic design

Driving Modern Business Intelligence Architecture for Operational Efficiency by Abdelraouf Ishtaiwi

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Edited by: Abdelraouf Ishtaiwi, Ahmad Al-Qerem, Mohammad Al Khaldy, Mohammad Alauthman
Imprint: Business Science Reference
Country of Publication: United States [Currently unable to ship to USA: see Shipping Info]
ISBN: 9798337321257
Pages: 680
Publication Date: 01 August 2025
Audience: General/trade , ELT Advanced
Format: Hardback
Publisher's Status: Active

Ahmad al-Qerem graduated in applied mathematics and MSc in Computer Science at the Jordan University of Science and Technology and Jordan University in 1997 and 2002, respectively. After that, he was appointed as full-time lecturer at the Zarqa University. He was a visiting professor at Princess Sumaya University for Technology (PSUT). He obtained a PhD from Loughborough University, UK. His research interests are in performance and analytical modeling, mobile computing environments, protocol engineering, communication networks, transition to IPv6, machine learning and transaction processing. He has published several papers in various areas of computer science. Currently, he has a full academic post as a full professor at computer science department at Zarqa University-Jordan. Dr. Mohammad Alauthman (contacted at email: mohammad.alauthman@uop.edu.jo) is an associate professor and chair of the Information Security Department at the Faculty of Information Technology, University of Petra inAmman, Jordan. His research interests lie in network security, intrusion detection systems, and the application of artificial intelligence techniques like machine learning and deep learning for botnet detection, DDoS detection, spam email filtering, IoT security, and network traffic classification. He obtained his Ph.D. in computer science with a focus on network security from Northumbria University in the UK in 2016. Alauthman has been awarded several research grants in the field of network security, supporting his work on advanced intrusion detection systems and the development of AI-driven security solutions. These grants have enabled him to conduct extensive research and collaborate with international experts. His funded projects have focused on enhancing the resilience of network infrastructures against emerging threats and improving the accuracy of threat detection mechanisms.