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Professional Experience

• Graduate Research Assistant at United Services Hospital & Graduate School , State University of New York, Binghamton (2010 - 2014)
• Senior Data Analytics Consultant, Hugo Boss (2007 - 2010)
• Assistant Professor, Montclair State University (2018 - Present)
• Principal Data Scientist/Senior Manager, Comcast - NBC Universal (2017 - 2018)
• Assistant Professor, The University of Dayton (2015 - 2017)

Honors & Awards

• Associate Member, Alpha Pi Mu Honor Society (January 2012)
• Best Paper Award, Information and Communication Tecnologies in Organizations and Society (ICTO) Conference 2019 (October 2019)

Refereed Published Articles

• M. Johnson, N. Nagarur, (2015). Multi-stage Methodology to Detect Health Insurance Claim Fraud. Healthcare Management Science
• P. Appiah-Kubi, M. Johnson, E. Trappe (2019). Service Learning in Engineering Technology: Do Students Have Preferences on Project Types?. Journal of Engineering Technology
• 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
• 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
• M. Johnson, M. Berenson (2019). Choosing Among Computational Software Tools to Enhance Learning in Introductory Business Statistics. Decision Sciences Journal of Innovative Education (DSJIE)
• M. Johnson, R. Jain, m. Brennan, E. Swartz, D. Silver, J. Paolini, S. Mamonov, C. Hill (2021). Developing Big Data and AI Workforce Roadmap for A Data Driven Economy. Global Institute of Flexible Systems Management
• A. Johnson, M. Johnson, N. Nagarur (2021). Supply Chain Design Under Disruptions Considering Risk Mitigation Strategies for Robustness and Resiliency. International Journal of Logistics Systems & Management (IJLSM)
• M. Johnson, R. Jain, M. Brennan-Tonetta, E. Swartz, D. Silver, J. Paolini, S. Mamonov, C. Hill (2021). Impact of Big Data and Artificial Intelligence On Industry: Developing A Workforce Roadmap for a Data Driven Economy. Global Journal of Flexible Systems Management
• E. Swartz, P. Brennan-Tonetta, R. Jain, M. Johnson, S. Mamonov, M. Hale, J. Jayaraman (2022). In search of pedagogical approaches to teaching business ethics in the era of digital transformation. Journal of Big Data and Artificial Intelligence
• M. Johnson, R. Misra, M. Berenson (2022). Integrating Bayesian and Markov Methods in Business Analytics Curricula. Decision Sciences Journal of Innovative Education (DSJIE)
• 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
• 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
• 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, 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
• R. Jain, M. Johnson, A. Albizri, G. Elias (2022). An open system architecture framework for interoperability. International Journal of Business Information Systems
• M. Johnson, R. Malaga (2023). Exploring the relationship between YouTube video optimisation practices and video rankings for online marketing: a machine learning approach. Journal of Business Analytics
• 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
• C. Hill, L. Du, M. Johnson, B. McCullough (2024). Comparing Programming Languages for Data Analytics: Accuracy of Estimation in Python and R. Wiley Interdisciplinary Reviews (WIRES): Data Mining and Knowledge Discovery
• M. Johnson, A. Albizri, A. Harfouche (2023). Responsible Artificial Intelligence in Healthcare: Predicting and Preventing Insurance Claim Denials for Economic and Social Wellbeing. Information Systems Frontiers
• A. Dag, M. Johnson, E. Kibis, S. Simsek, B. Cankaya, D. Delen (2023). A machine learning decision support system for determining the primary factors impacting cancer survival and their temporal effect. Healthcare Analytics

Published Proceedings

• A. Alazzam, M. Johnson, H. Lewis (5s). 2013. A New Optimization Algorithm for Non-convex Problems Proceedings of the 2013 Industrial and Systems Engineering Research Conference
• M. Johnson, Y. Han, N. Nagarur, (5s). 2013. A Simulation Model for Blood Supply Chain Systems Proceedings of the 2013 Annual Industrial and Systems Engineering Research 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
• M. Johnson, A. Johnson, N. Nagarur (5s). 2018. Conceptual Framework for Designing Robust and Resilient Supply Chains Decision Sciences Institute Annual Conference
• M. Johnson, M. Berenson (5s). 2018. Comparing Two Free Software Platforms for Teaching an Introductory Business Statistics Course Decision Science Institute Annual Conference
• E. Swartz, R. Jain, M. Johnson (5s). 2022. Out of Africa: Tracking Women as Digital Entrepreneurs in Africa South of the Sahara Diana International Research Conference