Associate Professor

Milton Soto-Ferrari

757-683-6163

MONARCH WAY
NORFOLK, NORFOLK, VA 23529

Contracts, Grants and Sponsored Research

Soto-Ferrari, M. and Qayyum, R. "AEGIS: Agentic Ensemble Intelligence for Influenza Surveillance and Healthcare System Resilience" $3,000,000. -
Soto-Ferrari, M. "AI Assisted Port Forecasting and Planning Platform" $20,000. 黑料不打烊. -
Speerhas, T., Soto-Ferrari, M., Hay, B. and Wu, H. "Rural Care Forward: Technology, Workflow, and Workforce Redesign" $750,000. -
Soto-Ferrari, M., Bhattacharyya, K. and El-Adle, A. "A Predictive Framework for Epidemic Forecasting and Healthcare Resource Planning" $200,000. -
Bhattacharyya, K., Soto-Ferrari, M. and Ezell, B. "AI-Enabled Predictive Logistics Application (AI-EPLA) for Brigade-Level Operations" $1,500,000. -

Articles

Soto-Ferrari, M., El-Adle, A. M.. and Bhattacharyya, K. (2026). RAFT-A: A regime-aware forecast-to-allocation framework for hospital resource planning during outbreaks. Transportation Research Part E: Logistics and Transportation Review 215 , pp. 105090.
Soto-Ferrari, M., Chams-Anturi, O., Casile, M. and Escorcia-Caballero, J. P.. (2026). Teaching Tip: Simulated Interface for Management and Collaborative Decision Systems: A Computer-Based Supply Chain Application for Teaching Information Transparency. Journal of Information Systems Education 37 (1) , pp. 18-46.
Chams-Anturi, O., Escorcia-Caballero, J. P.. and Soto-Ferrari, M. (2026). Evaluating entrepreneurial intentions of health science students in higher education. International Journal of Innovation Science 18 (1) , pp. 109-129.
Soto鈥怓errari, M. (2025). Integrating Google Mobility Indices for Forecasting Infectious Diseases Incidence: A Multi鈥怌ountry Study on COVID鈥19 With LightGBM. Journal of Forecasting.
Soto-Ferrari, M. (2025). SOT-FER: A multi-tier entropy-based time series forecasting framework with an application to manufacturing. Computers & Industrial Engineering 204 , pp. 111071.
Soto-Ferrari, M., Carrasco-Pena, A. and Prieto, D. (2025). EpiForecaster: a novel deep learning ensemble optimization approach to combining forecasts for emerging epidemic outbreaks. Stochastic Environmental Research and Risk Assessment 39 (2) , pp. 675-695.
DePaolo, C. and Soto-Ferrari, M. (2024). Healthcare Analytics Teaching Cases. Journal of Statistics and Data Science Education 33 (3) , pp. 301-312.
Soto-Ferrari, M., Bhattacharyya, K. and Schikora, P. (2023). POST-BaLSTM: A Bagged LSTM forecasting ensemble embedded with a postponement framework to target the semiconductor shortage in the automotive industry. Computers & Industrial Engineering 185 , pp. 109602.
Soto-Ferrari, M., Carrasco-Pena, A. and Prieto, D. (2023). AGGFORCLUS: A hybrid methodology integrating forecasting with clustering to assess mitigation plans and contagion risk in pandemic outbreaks: the COVID-19 Case Study. Journal of Business Analytics 6 (3) , pp. 217-242.
Soto-Ferrari, M. and Chams-Anturi, O. (2023). EcoMCS: A Project Management Application Through Management Control Systems for Residential Construction Firms in Colombia. Operations and Supply Chain Management: An International Journal , pp. 254-264.
Chams-Anturi, O., Soto-Ferrari, M., Gomez, A., Escorcia-Caballero, J., Romero-Rodriguez, D. and Casile, M. (2022). A Comprehensive Business Process Management Application to Evaluate and Improve the Importations Practices on Big-box Stores. Operations and Supply Chain Management: An International Journal , pp. 164-173.
Casile, M., Gerard, J. G.. and Soto-Ferrari, M. (2021). Gender differences in self-efficacy, acceptance, and satisfaction in business simulations. The International Journal of Management Education 19 (2) , pp. 100473.
Prieto, D., Soto-Ferrari, M., Tija, R., Pe帽a, L., Burke, L., Miller, L., Berndt, K., Hill, B., Haghsenas, J., Maltz, E., White, E., Atwood, M. and Norman, E. (2019). Literature review of data-based models for identification of factors associated with racial disparities in breast cancer mortality. Health Systems 8 (2) , pp. 75-98.
Soto-Ferrari, M., Prieto, D. and Munene, G. (2017). A Bayesian network and heuristic approach for systematic characterization of radiotherapy receipt after breast-conservation surgery. BMC Medical Informatics and Decision Making 17 (1).

Book Chapters

Soto-Ferrari, M., Chams-Anturi, O., Escorcia-Caballero, J. P.., Hussain, N. and Khan, M. (2019). Evaluation of Bottom-Up and Top-Down Strategies for Aggregated Forecasts: State Space Models and ARIMA Applications Lecture Notes in Computer Science (pp. 413-427) Springer International Publishing.

Conference Proceeding

Lin, P., Soto-Ferrari, M. and Chams-Anturi, O. (2022). A Logistic Regression Assessment to Measure Radiotherapy Clinical Pathway Concordance for Early Stages Breast Cancer Patients (pp. 559-564) Procedia Computer Science.
Soto-Ferrari, M., Holvenstot, P., Prieto, D., de Doncker, E. and Kapenga, J. (2013). Parallel Programming Approaches for an Agent-based Simulation of Concurrent Pandemic and Seasonal Influenza Outbreaks (pp. 2187-2192) Procedia Computer Science.

Presentations

Soto-Ferrari, M. (May 13, 2026). AI in Supply Chain, Logistics and Maritime: Reality vs. Hype Virginia Maritime Association SCTI Committee webinar .
Soto-Ferrari, M. (April 29, 2026). Collaborative Opportunities for Business and Technologies in Clinical and Health Sciences Applications VHS Faculty Affairs and Professional Development seminar .
Soto-Ferrari, M. (March 25, 2026). RAFT-A: A Regime-Aware Forecast-to-Allocation Framework for Hospital Resource Planning During Outbreaks Strome Research Seminar .