IRAIS 2026 Proceedings
The Iranian Association for Information Systems (IRAIS) 2026 Annual Conference brings together researchers, scholars, and professionals to share innovative research and knowledge in Information Systems and related fields. The conference features research across areas including Artificial Intelligence, Cybersecurity, Healthcare, and General Information Systems topics.
Conference Co-Chairs
Niam Yaraghi, University of Miami
Hamed Qahri-Saremi, Colorado State University
Conference Program Coordinators
Sara Memarian, University of Texas at Tyler
Kasra Dolatkhahi, University of Memphis
Artificial Intelligence Track
Reza Mousavi, University of Virginia
Mahyar Sharif Vaghefi, University of Texas at Arlington
Cybersecurity Track
Moez Farokhnia, University of North Carolina at Greensboro
Forough Shadbad, Oregon State University
General Track
Sara Memarian, University of Texas at Tyler
Mohsen Foroughifar, Carnegie Mellon University
Healthcare Track
Tala Mirzaei, Florida International University
Submissions from 2026
Abstract Only: Examining Cognitive Load and Security Fatigue in Telehealth Teams: Impacts on ISSP Compliance, Frederick Akwesi Adrah
Abstract Only: When and How Does AI Investment Create Value? Evidence from Country and Industry Heterogeneity in a Global Panel, Kasra Dolatkhahi and Huigang Liang
Abstract Only: Designing Explainable Decision Support for Breast Cancer Risk Prediction, Kasra Dolatkhahi and Pavankumar Mulgund
Abstract Only: The Time AI Gives Back: Understanding Efficiency Paradox of AI-Enabled Cyberloafing, Mariia Kyrychenko, Sara Memarian Esfahani, and Tom L. Roberts
Abstract Only: From Booze to Blues: Prohibition, Prescription Monitoring, and Persistent Demand, Xiru Pan, Niam Yaraghi, and Anindya Ghose
Abstract Only: Silent Cybersecurity Threat: Practical Governance for Shadow AI Risk While Maintaining Employee Productivity, Preston Pelfrey
Abstract Only: Governing Detection Thresholds in Open-Set Intrusion Detection for IoT Networks, Ali Safari and Dan Jong Kim
Abstract Only: From Dyad to Network: A Constitutive Theory of Distributed Delegation to Multi-Agent AI Systems, Ali Safari and Chih-Hao (Justin) Ku
Abstract Only: When Machines Moderate Machines: Toward a Governance Vacuum Theory, Ali Safari and Chih-Hao (Justin) Ku
Abstract Only: Systemic Data Fragmentation and its Impact on Behavioral Health Crisis Detection, Hamidreza Safiyari, Aarya Rijal, Sonipriya Paul, Dominic Thomas, Monica Nandan, and Amin Esmaeili