Smart Immersive Modeling Lab
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Under Review and Working Papers:

  • Jahanmahin R., and Masoud S., “Designing a model based on natural language processing and machine learning methods to analyze customer sentiments using textual data,” Working Paper.

  • Alsaedi, F., and Masoud S., “Condition-based Maintenance for Degradation Aware Control Systems,” IEEE Sensors, To be Submitted.

  • Rickli J., Masoud S., De Amicis R., Kim K.Y., Haapala K., Bi Y., Piroli J., Jahanmahin R., “Integrating Collaborative Robotics, Mixed Reality, and Data Driven Application Systems for Perceptive Disassembly,” 8th International Workshop on Autonomous Remanufacturing, Under Review.

  • Kamali Mohammadzadeh, A., Eghbalizarch, M. Jahanmahin, R., and Masoud S., “Defining the Criteria for Selecting the Right Extended Reality Systems in Healthcare Using Fuzzy ANP,” Applied Soft Computing, Under Revision.


Peer-reviewed publications:

  • Zhu, M., Doo, M. Y., Masoud, S., and Huang, Y.(2024) “The influence of SDL on learning satisfaction in online learning and group differences between undergraduates and graduates,” Education and Information Technologies, P: 1-19. Download

  • Eghbalizarch, M. and Masoud S.,(2024) “Application of machine learning in affordable and accessible insulin management for type 1 and 2 diabetes: A comprehensive review,” Artificial Intelligence in Medicine, P: 102868. Download

  • Zhu, M., Berri, S., Huang, Y., and Masoud S., (2024), “Computer science and engineering students’ Self-Directed Learning Strategies and Satisfaction in Online Learning,” Computers and Education Open, 6, 100168. Download

  • Lanier, D. and Masoud, S., (2024), A Predictive Framework for Patients’ Otolaryngology Outpatient Visit Scope Need, BioMedInformatics, 4(1), 721-732. Download

  • Kamali Mohammadzadeh, A., Salah, H., Jahanmahin, R., Hussain, A.E.A., Masoud, S., and Huang, H., (2024), "Spatiotemporal Forecasting of PM2.5 AQI Using GCN and E-LSTM Networks,” Machine Learning with Applications 15 (2024): 100521. Download

  • Emakhu, J., Etu, E. E., Monplaisir, L., Aguwa, C., Arslanturk, S., Masoud, S., ... and Miller, J. (2023). A hybrid machine learning and natural language processing model for early detection of acute coronary syndrome, Healthcare Analytics, 100249 Download

  • Masoud, S. and Son Y. (2023). Data Driven Worker Routing for Irrigation Monitoring, North America Conference on Industrial Engineering and Operations Management, https://doi.org/10.46254/NA8.20230105 Download

  • Kamali Mohammadzadeh, A., Allen, C. L., and Masoud, S. (2023). VR Driven Unsupervised Classification for Context Aware Human Robot Collaboration, In International Conference on Flexible Automation and Intelligent Manufacturing, (pp. 3-11). Cham: Springer Nature Switzerland. Download

  • Eghbali-Zarch M., Zabihi S.Z., and Masoud, S., (2023) A novel fuzzy SECA model based on fuzzy standard deviation and correlation coefficients for resilient-sustainable supplier selection, Expert Systems with Aplications, 120653 Download

  • Zhang, R., Masoud, S., and Masoud, N. (2023). Impact of Autonomous Vehicles on the Car-Following Behavior of Human Drivers., Journal of Transportation Engineering, Part A: Systems, 149(3) Download

  • Masoud, S., Zhu, M., Djuric, A., and Rickli, J., (2022) Robotics Laboratory during COVID-19 — Challenges and Future Directions, International Journal of Modern Engineering, 14 Download

  • Jahanmahin, R., Masoud, S., Rickli, J., Djuric, A. (2022). Human-robot interactions in manufacturing: A survey of human behavior modeling. Robotics and Computer-Integrated Manufacturing, 78, 102404. Download

  • Emakhu, J., Monplaisir, L., Aguwa, C., Arslanturk, S., Masoud, S., Nassereddine, H., ..., Miller, J. B. (2022). Acute Coronary Syndrome Prediction in Emergency Care: A Machine Learning Approach. Computer Methods and Programs in Biomedicine, 107080. Download

  • Eghbali-Zarch, M., Tavakkoli-Moghaddam, R., Esfahanian, F., Masoud, S. (2022). Prioritizing the glucose-lowering medicines for type 2 diabetes by an extended fuzzy decision-making approach with target-based attributes. Medical and Biological Engineering and Computing, 60(8), 2423-2444. Download

  • Etu, E. E., Monplaisir, L., Masoud, S., Arslanturk, S., Emakhu, J., Tenebe, I., ... , Krupp, S. (2022, June). A Comparison of Univariate and Multivariate Forecasting Models Predicting Emergency Department Patient Arrivals during the COVID-19 Pandemic. Healthcare, Vol. 10, No. 6, p. 1120, MDPI. Download

  • Etu, E. E., Monplaisir, L., Aguwa, C., Arslanturk, S., Masoud, S., Markevych, I., Miller, J. (2022). Identifying indicators influencing emergency department performance during a medical surge: A consensus-based modified fuzzy Delphi approach. PloS one, 17(4), e0265101. Download

  • Etu, E. E., Monplaisir, L., Arslanturk, S., Masoud, S., Aguwa, C., Markevych, I., Miller, J. (2022). Prediction of Length of Stay in the Emergency Department for COVID-19 Patients: A Machine Learning Approach. IEEE Access, 10, 42243-42251. Download

  • Emakhu, J., Monplaisir, L., Aguwa, C., Arslanturk, S., Masoud, S., Hamam, M., ... , Miller, J. (2021). An Ensemble Learning Approach to Predict Non-ST-Segment Elevation Myocardial Infarction in Patients With Clinical Concerns for Acute Coronary Syndrome. Annals of Emergency Medicine, 78(4), S81-S82. Download

  • Etu, E. E., Monplaisir, L., Aguwa, C., Arslanturk, S., Masoud, S., Krupp, S., ..., Miller, J. (2021). 33 Forecasting Daily Patient Arrivals during COVID-19 in Emergency Departments: A Deep Learning Approach. Annals of Emergency Medicine, 78(4), S14. Download

  • Chowdhury, B. D. B., Masoud, S., Son, Y. J., Kubota, C., Tronstad, R. (2021). A Dynamic HMM-based Real-time Location Tracking System Utilizing UHF Passive RFID. IEEE Journal of Radio Frequency Identification, 6, 41-53. Download

  • Masoud, S., Mariscal, N., Huang, Y., Zhu, M. (2021). A Sensor-Based Data Driven Framework to Investigate PM 2.5 in the Greater Detroit Area. IEEE Sensors Journal, 21(14), 16192-16200. Download

  • Chowdhury, B. D. B., Masoud, S., Son, Y. J., Kubota, C., Tronstad, R. (2020). A dynamic data driven indoor localisation framework based on ultra high frequency passive RFID system. Int. J. Sens. Networks, 34(3), 172-187. Download

  • Masoud, S., Kim, S., Son, Y. J. (2020). Mitigating the risk of hazardous materials transportation: A hierarchical approach. Computers and Industrial Engineering, 148, 106735. Download

  • Etu, E. E., Monplaisir, L., Aguwa, C., Masoud, S., Arslanturk, S., Markevych, I., Miller, J. (2020, January). A Comparison of Traditional and Modified Fuzzy Delphi in Identification of Metrics for ED Performance Associated with Medical Surges. In Proceedings of the 5th NA International Conference on Industrial Engineering and Operations Management Detroit, Michigan, USA2020. Download

  • Masoud, S., Son, Y. J., Masoud, N., Jayakrishnan, J. (2019). Impact of traffic conditions and carpool lane availability on peer to peer ridesharing demand. arXiv preprint arXiv:1912.08931. Download

  • Masoud, S., Chowdhury, B., Son, Y. J., Tronstad, R. (2019). Markov-chain Monte-Carlo Sampling for Optimal Fidelity Determination in Dynamic Decision-Making. arXiv preprint arXiv:1911.03719. Download

  • Masoud, S., Chowdhury, B. D. B., Son, Y. J., Kubota, C., Tronstad, R. (2019). Simulation based optimization of resource allocation and facility layout for vegetable grafting operations. Computers and Electronics in Agriculture, 163, 104845. Download

  • Masoud, S., Meng, C., Chowdhury, B., Son, Y. J., Kubota, C., Tronstad, R. (2019, July). GRANDES: an online decision support tool for grafting nurseries. In II International Symposium on Vegetable Grafting 1302 (pp. 125-132). Download

  • Kubota, C., Meng, C., Masoud, S., Son, Y. J., Tronstad, R. (2019). Advanced technologies for large-scale plant factories—Integration of industrial and systems engineering approach in controlled environment crop production. In Plant Factory Using Artificial Light (pp. 353-362). Elsevier. Download

  • Masoud, S., Chowdhury, B., Son, Y. J., Kubota, C., Tronstad, R. (2019). A dynamic modelling framework for human hand gesture task recognition. arXiv preprint arXiv:1911.03923. Download

  • Masoud, S., Son, Y. J., Kubota, C., Tronstad, R. (2018). Evaluation of simulation-based optimization in grafting labor allocation. Applied engineering in Agriculture, 34(3), 479-489. Download

  • Masoud, S., Kim, S., Son, Y. J. (2015). Integrated Dual Toll Pricing with Network Design for Hazardous Materials Transportation. In IIE Annual Conference. Proceedings (p. 2556). Institute of Industrial and Systems Engineers (IISE). Download