Biography

Dr. Anas M. R. AlSobeh is an Assistant Professor of Applied AI in the department of Information Systems & Technology (IS&T) at Utah Valley University (UVU) and formerly served as an Assistant Professor and Program Coordinator of Information Technology & Cybersecurity at Southern Illinois University Carbondale (R1). He brings over 10 years of academic and research experience across the United States, Jordan, and Bahrain. He earned a Ph.D. in Computer Science from Utah State University and holds M.Sc. and B.Sc. degrees in Computer Information Systems from Yarmouk University. Dr. AlSobeh’s research spans AI-driven cybersecurity, trustworthy and explainable AI, software engineering, cloud computing, and data science, with applications in malware and adversarial robustness, media forensics, and public-interest systems. He is the Principal Investigator on a USDA-funded project (2024–2026) focused on rapid Salmonella detection in onions using microscopic imaging and AI. He has published 50+ peer-reviewed papers in leading venues (Q1/Q2) and received the IACIS 2024 Best Paper Award for work on deepfake detection. Beyond academia, he has contributed to and led international initiatives funded by EU Horizon 2020, Erasmus+, GIZ, DAAD, and Nuffic in areas including refugee education, health/public-interest data systems, and cybersecurity capacity building. He has also served as an expert consultant with ICMPD, supporting training and applied analytics in migration contexts (AI and statistical analysis for migration). Dr. AlSobeh is an IEEE Senior Member, ACM SIGHPC member, and active mentor/reviewer with service roles across major journals and conferences (e.g., IEEE Access, Springer Nature venues, MDPI Systems, and other peer-reviewed outlets). His professional training/certifications include NVIDIA “Building Transformer-Based NLP Applications,” AWS Cloud Practitioner, and MIT’s Data Science and Machine Learning program.

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Scholarly/Creative Works