Staff Portal
Mohamed Ibrahim Salman Ibrahim (Professor)
PhD in Computer Sciences
Lecturer
Computer Center - Scientific Centers
mohammed_salman@uoanbar.edu.iq
Biography
Mohammed Salman is a Professor of Computer Science with a passion for research, teaching, and empowering communities through technology. He currently serves at the College of Computer Science and Information Technology, University of Anbar, Iraq. He holds a Ph.D. in Computer Science and Engineering from Wright State University, Ohio, where he specialized in traffic engineering for software-defined networks.
Dr. Salman has an international academic background, having contributed to teaching and research in the United States as part of a faculty exchange and collaboration initiative. His work has centered around data structures, intelligent systems, and advanced networking technologies. His research interests include networking, cybersecurity, artificial intelligence, and computer vision, with a focus on anomaly detection, quality of service, and intelligent network optimization.
He has published in several high-impact journals, including Computers & Security, Computer Communications, and Future Generation Computer Systems. He has led projects involving SDN traffic engineering platforms, benchmarking systems, and neural network models for network intrusion detection.
In addition to his academic work, Dr. Salman is actively engaged in professional development, offering training programs in leadership, communication, cybersecurity, and modern programming. He regularly conducts public workshops to bridge the gap between academic knowledge and practical digital skills.
His vision centers on the integration of AI into secure and adaptive systems. Through his research, teaching, and outreach, Dr. Mohammed Salman continues to inspire learners and contribute meaningfully to the advancement of computer science both in Iraq and abroad.
Publication
Combatting the TrickBot Threat: Analysis, Impact, and Defensive Strategies in Cybersecurity
J Cao, A Null, M Stewart, S Bhunia, M Salman
2024 IEEE International Conferences on Internet of Things (iThings) and IEEE
Temporal Semantic Parsing for Insider Threat Activity Modeling and Detection
M AlSlaiman, C Wang, M Salman, A Asiri
NAECON 2024-IEEE National Aerospace and Electronics Conference, 44-49
Exploring the CAM4 Data Breach: Security Vulnerabilities and Response Strategies
J Sorn, P Carroll, Z Pang, S Bhunia, M Salman, PA Regis
2024 IEEE 24th International Symposium on Cluster, Cloud and Internet
Analyzing the Impact and Implications of COMB: A Comprehensive Study of 3 Billion Breached Credentials
C Stejskal, A Perminov, A Lester, S Bhunia, M Salman, PA Regis
2024 IEEE 24th International Symposium on Cluster, Cloud and Internet
Zerologon Explored: In-Depth Analysis and Mitigation Strategies for Microsoft’s Critical Vulnerability
H He, J Self, K French, S Bhunia, M Salman, PA Regis
2024 IEEE 24th International Symposium on Cluster, Cloud and Internet
Combining raw data and engineered features for optimizing encrypted and compressed internet of things traffic classification
MM Saleh, M AlSlaiman, MI Salman, B Wang
Computers & Security 130, 103287
Enhancing false negative and positive rates for efficient insider threat detection
M AlSlaiman, MI Salman, MM Saleh, B Wang
Computers & Security 126, 103066
Near-optimal responsive traffic engineering in software defined networks based on deep learning
MI Salman, B Wang
Future Generation Computer Systems 135, 172-180
Red toad, blue toad, hacked toad?
L Rizkallah, N Potter, K Reed, D Reynolds, M Salman, S Bhunia
2022 IEEE World AI IoT Congress (AIIoT), 379-386
Design, Analysis, and Optimization of Traffic Engineering for Software Defined Networks
MI Salman
Boosting performance for software defined networks from traffic engineering perspective
MI Salman, B Wang
Computer Communications 167, 55-62
Effect of driving waveform on size and velocity of generated droplets of nanosilver ink (Smartink)
AH Hamad, MI Salman, A Mian
Manufacturing Letters 24, 14-18
A New Software Framework for Traffic Engineering: Path Cardinality and the Effect of Multipath on Residual Capacity
M Salman, B Wang
arXiv preprint arXiv:2001.05939
Message Ferrying-Ad Hoc On Demand Distance Vector (MF-AODV) Protocol
STF Al-Janabi, MI Salman, O Abuelmaatti
Proceeding of The 13th Annual Post Graduate Symposium on the Convergence of …
Enhancing False Negative and Positive Rates for Efficient Insider Threat Detection
Lectures
Academic certificates
PhD in Computer Science and Engineering
Wright State University, Ohio, USA
(2016 – 2021)
Dissertation Title: Design, Analysis, and Optimization of Traffic Engineering in Software-Defined Networks
Master’s in Computer Science
University of Anbar, Iraq
(2009 – 2012)
Thesis Title: Improving the Routing Protocol for Message Delivery in Delay Tolerant Mobile Ad Hoc Networks Using Intermediate Nodes
Bachelor’s in Computer Science
University of Anbar, Iraq
(2001 – 2005)
Supervision
Currently, there is no supervision of master's or doctoral students.
Other
-
Participation in international scientific conferences such as:
-
IEEE SmartCloud 2017, New York, USA.
-
PGNET 2012, Liverpool John Moores University, UK.
-
-
Conducting community-based professional training programs in:
-
Cybersecurity awareness.
-
Python programming and web development.
-
Leadership and professional communication.
-
-
Supervising student capstone projects and research in AI and computer networks.
-
Delivering training courses for faculty and students in modern computing skills and data analysis.
-
Developing practical educational tools such as SDN traffic engineering testbeds using Mininet.
-
Serving as a peer reviewer for international journals and conference papers.