Secure, scalable, and trustworthy AI for distributed data environments.
I’m Amro Saleh — an academic researcher and PhD candidate in Computer Science at Princess Sumaya University for Technology (PSUT). My research focuses on distributed Data & AI systems, with particular interest in developing secure and scalable AI techniques for real-world applications across big data and cloud computing.
Research grounded in real-world systems
Amro Saleh is an academic researcher and PhD candidate in Computer Science at PSUT. He holds a Master’s degree in Computer Engineering from the German Jordanian University and a Bachelor’s degree in Computer Science from the University of Jordan.
With long-standing industry experience complementing his academic journey, Amro brings a balance of practical insight and theoretical depth. His work bridges innovation with implementation, addressing challenges in decentralized data environments, model integrity, and trustworthy AI. He is actively involved in scholarly publishing, collaborative research, and academic outreach, and is committed to shaping secure, ethical, and inclusive Data & AI technologies.
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Education
PhD (in progress), Computer Science — PSUT
MSc, Computer Engineering — German Jordanian University
BSc, Computer Science — University of Jordan - Core themes
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Academic outreach
Research collaboration, publishing, and community-based initiatives that support applied, trustworthy AI.
Peer-reviewed publications and conference contributions
| Publication | Venue / Type | Year |
|---|---|---|
| Streaming-Based Intrusion Detection with Big Data and Online Learning Algorithms | International Conference on New Trends in Computing Sciences (ICTCS) | 2025 |
| Breast Ultrasound Imaging Classification Using Federated Learning Techniques | Tenth International Congress on Information and Communication Technology, London, UK | 2025 |
| Cloud-Based Software Architecture for Scalability and Resilience | Book chapter (Springer Nature): Modern Insights on Smart and Secure Software Development (pp. 263–288) | 2025 |
| Performance Comparison of Spatial Data Indexing Using Distributed Systems | International Conference on New Trends in Computing Sciences (ICTCS) | 2025 |
| RPL Routing Attacks Detection for IoT Networks Using Machine Learning | International Jordanian Cybersecurity Conference (IJCC) | 2024 |
| Leveraging Blockchain for Ethical Sourcing and Sustainability in Supply Chains: A Systematic Review | 25th International Arab Conference on Information Technology (ACIT) | 2024 |
| Content-based Image Retrieval for Breast Ultrasound Images using Convolutional Autoencoders: A Feasibility Study | International Conference on Bio-engineering for Smart Technologies (BioSMART) | 2019 |
Topics I’m actively exploring
Funded work and collaborative initiatives
Blockchain-Based Solutions for Ethical Sourcing & Sustainability
Funded project by PSUT exploring blockchain-enabled mechanisms for traceability, ethical sourcing, and sustainability in supply chains.
CyberHubJo
Research hub initiated by PhD students at PSUT, supporting collaboration, peer-learning, and community-driven research activities.
Applied secure AI in distributed environments
Ongoing research direction focusing on model integrity, trustworthy AI, and deployment-aware security for decentralized data systems.