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Research

• Industry Model for Financial Fraud Detection Using Data Mining
• Electricity Load Forecasting Using Text Mining
• A Theory-based Approach for Electricity Consumption Feedback Application Use and Electricity Conservation

Professional Experience

• Instructor/ Research Assistant/ Teaching Assistant, University of Wisconsin - Milwaukee (2009 - 2014)
• Strategic Planning and Organization Officer, BLOM BANK (2006 - 2009)
• Assistant Professor of MIS, Northern State University (2014 - 2016)
• Assistant Professor of Information Management & Business Analytics, Montclair State University (2017 - 2022)
• Associate Professor of Information Management & Business Analytics, Montclair State University (2022 - Present)

Honors & Awards

• Roger L. Fitzsimonds Doctoral Scholarship, University of Wisconsin Milwaukee (May 2013)
• Nora Staael Evert Research Award, Northern State University (May 2015)
• International Conference on Information Systems (ICIS) Doctoral Consortium Fellow, International Conference on Information Systems (November 2013)
• Best Paper Award , 2019 Information and Communication Technologies in Organizations and Society International Conference (October 2019)

Refereed Published Articles

• A. Albizri, D. Appelbaum, N. Rizzotto (2019). Evaluation of Financial Statements Fraud Detection Research: A Multi-disciplinary Analysis. International Journal of Disclosure and Governance - Springer/Palgrave Macmillan
• M. Johnson, A. Albizri, R. Jain (2020). Exploratory Analysis to Identify Concepts, Skills, Knowledge, & Tools to Educate Business Analytics Practitioners. Decision Sciences Journal of Innovative Education
• A. Albizri (2020). Theory-based Taxonomy of Feedback Application Design for Electricity Conservation: A User-Centric Approach. Communications of the Association for Information Systems
• A. Albizri, D. Appelbaum (2021). Trust but Verify: Auditing and the Oracle Paradox of Blockchain Smart Contracts. Journal of Information Systems
• M. Johnson, A. Albizri, R. Jain (2020). Exploratory analysis to identify concepts, skills, knowledge, and tools to educate business analytics practitioners. Decision Sciences Journal of Innovative Education
• H. Aljabbouli, A. Albizri, A. Harfouche (2020). Tree-based Algorithm for Stable and Efficient Data Clustering. Informatics
• S. Simsek, O. Genc, A. Albizri, S. Dinc, B. Gonen (2020). Artificial Neural Network incorporated Decision Support Tool for Point Velocity Prediction . Journal of Business Analytics
• M. Johnson, A. Albizri, S. Simsek (2022). Artificial Intelligence in Healthcare Operations to Enhance Treatment Outcomes: A Framework to Predict Lung Cancer Prognosis for Tailoring of Treatment Strategies. Annals of Operations Research
• R. Jain, M. Johnson, A. Albizri, G. Elias (2022). An Open System Architecture Framework for Interoperability (OSAFI). International Journal of Business Information Systems
• M. Johnson, A. Albizri, A. Harfouche (2021). Responsible Artificial Intelligence in Healthcare: Predicting and Preventing Insurance Claim Denials for Economic and Social Wellbeing. Information Systems Frontiers
• S. Simsek, A. Albizri, M. Johnson, T. Custis, S. Weikert (2021). Predictive Data Analytics for Contract Renewals: A Decision Support Tool for Managerial Decision Making. Journal of Enterprise Information Management
• M. Johnson, A. Albizri, A. Harfouche, S. Wamba (2022). Integrating Human Knowledge into Artificial Intelligence for Complex and Ill-Structured Problems: Informed Artificial Intelligence. International Journal of Information Management
• S. Tutun, A. Tosyali, H. Sangrody, M. Khasawneh, M. Johnson, A. Albizri, A. Harfouche (2022). Artificial Intelligence in Energy Industry: Forecasting Electricity Consumption through Cohort Intelligence & Adaptive Neural Fuzzy Inference System. Journal of Business Analytics
• S. Tutun, M. Johnson, A. Ahmed, A. Albizri, S. Irgil, I. Yesilkaya, E. Ucar, T. Sengun, A. Harfouche (2022). An AI-based Decision Support System for Predicting Mental Health Disorders. Information Systems Frontiers
• M. Johnson, A. Albizri, A. Harfouche, S. Tutun (2023). Digital Transformation to Mitigate Emergency Situations: Increasing Opioid Overdose Survival Rates through Explainable AI. Industrial Management & Data Systems
• S. Tutun, A. Harfouche, A. Albizri, M. Johnson, H. He (2023). A Responsible AI Framework for Mitigating the Ramifications of the Organ Donation Crisis. Information Systems Frontiers
• Y. Alnsour, M. Johnson, A. Albizri, A. Harfouche (2023). Predicting Patient Length of Stay Using Artificial intelligence to Assist Health Care Professionals in Resource Planning and Scheduling Decisions. Journal of Global Information Management

Published Proceedings

• A. Albizri, K. Ramamurthy (5s). 2013. IT Alignment: Different Firm Types, Different Alignment Configurations International Conference on Information Systems-ICIS,
• A. Albizri, F. Zahedi (5s). 2012. Theory-based Taxonomy of Feedback Application Design for Electricity Conservation: A User-Centric Approach Proceedings of the Annual Pre-ICIS HCI Workshop
• A. Albizri, F. Zahedi (5s). 2012. Enhancing Trust Equity by Web-Design Elements that Manifest Pro-Environment Commitments Proceedings of the Midwest AIS Conference
• A. Albizri, M. Johnson, R. Jain (5s). 2018. The Future of Business Analytics Education: Closing the Gap between Academia & Industry 2018 DSI Annual Meeting Proceedings
• U. Peters, A. Albizri, T. Haskamp (5s). 2022. Meta for Faith – How Digital Technology is Reconfiguring Faith-Based Institutions Forty-Second International Conference on Information Systems (ICIS)