HomeCollegesCollegesCollege of Interdisciplinary StudiesFaculty And StaffFaculty ProfilesFaheem Ullah
Assistant Professor
2020, PhD, The University of Adelaide (Australia)
Bio

Dr Faheem Ullah is an Assistant Professor with the College of Interdisciplinary Studies at Zayed University. Faheem Ullah completed his postdoc from CREST – Centre for Research on Engineering Software Technologies, Australia. He obtained his PhD, focussed on the intersection of big data and cyber security, from The University of Adelaide, Australia. Faheem has been involved in teaching for more than 10 years. He has taught courses both at undergrad and master’s level. He has supervised more than 20 PhD/Master students. Faheem is a two times gold medallist, one-time bronze medallist, and a receiver of six academic distinctions. Faheem’s research is focussed on cyber security, software engineering, big data, and machine learning. He has published his research in top-notch journals and conferences. He has received numerous grants for funding his research.

 
Office

Abu Dhabi - Khalifa City, MF3-2-011

Email:
Teaching Areas

Cyber Security, Software Engineering, Big Data, Machine Learning

Research and Professional Activities

1. Faheem Ullah, Shagun Dhingra, Xiaoyu Xia, and M. Ali Babar. "Evaluation of distributed data processing frameworks in hybrid clouds." Journal of Network and Computer Applications (2024): 103837. (Impact Factor: 8.7)

2. Faheem Ullah, and Muhammad Ali Babar. "Guidance Models for Designing Big Data Cyber Security Analytics Systems." In European Conference on Software Architecture, pp. 70-80. Cham: Springer Nature Switzerland, 2023. (Rank: A)

3. Yaser Mansouri, Faheem Ullah, Shagun Dhingra, and M. Ali Babar. "Design and Implementation of Fragmented Clouds for Evaluation of Distributed Databases." IEEE Transactions on Cloud Computing (2023). (Impact Factor: 6.5)

4. Faheem Ullah, M. Ali Babar, and Aldeida Aleti. "Design and evaluation of adaptive system for big data cyber security analytics." Expert Systems with Applications 207 (2022): 117948. (Impact Factor: 8.5) 5. Faheem Ullah, and M. Ali Babar. "On the scalability of big data cyber security analytics systems." Journal of Network and Computer Applications 198 (2022): 103294. (Impact Factor: 8.7)

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