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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
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Posts
Blog Post number 4
Published:
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Blog Post number 3
Published:
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Blog Post number 2
Published:
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Blog Post number 1
Published:
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portfolio
publications
Traffic signal timing optimization by modelling the lost time effect in the shock wave delay model
Mohammad Noaeen, A. A. Rassafi, and B. H. Far (2016). Traffic signal timing optimization by modelling the lost time effect in the shock wave delay model. International Conference on Transportation and Development.
Let’s hear it from RETTA: A Requirements Elicitation Tool for TrAffic management systems
Mohammad Noaeen, Z. Shakeri H. A., and B. H. Far (2017). Let’s hear it from RETTA: A Requirements Elicitation Tool for TrAffic management systems. IEEE 25th International Requirements Engineering Conference (RE).
The Efficacy of Using Social Media Data for Designing Traffic Management Systems
Mohammad Noaeen, and B. H. Far (2020). The Efficacy of Using Social Media Data for Designing Traffic Management Systems. IEEE 4th International Workshop on Crowd-Based Requirements Engineering (CrowdRE). pp. 11-17.
Digital public health surveillance: a systematic scoping review
Z. Shakeri H. A., A. Kline, M. Sultana, Mohammad Noaeen, et al (2021). Digital public health surveillance: a systematic scoping review. Nature Digital Medicine. 4, 41. doi:10.1038/s41746-021-00407-6
Reinforcement Learning in Urban Network Traffic Signal Control: A Systematic Literature Review
Mohammad Noaeen, A. Naik, L. Goodman, J. Crebo, T. Abrar, Z. Shakeri, A. Bazzan, B. H. Far (2022). Reinforcement Learning in Urban Network Traffic Signal Control: A Systematic Literature Review. Expert Systems with Applications., 199, 116830.
Perimeter Control Using Deep Reinforcement Learning: A Model-free Approach towards Homogeneous Flow Rate Optimization
X. Li, R. C. Mercurius, A. Taitler, X. Wang, Mohammad Noaeen, S. Sanner, and B. Abdulhai (2023). Perimeter Control Using Deep Reinforcement Learning: A Model-free Approach towards Homogeneous Flow Rate Optimization. 2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC), pp. 1474-1479.
Real-time Decentralized Traffic Signal Control for Congested Urban Networks Considering Queue Spillbacks
Mohammad Noaeen, R. Mohajerpoor, B. H. Far, and M. Ramezani (2021). Real-time Decentralized Traffic Signal Control for Congested Urban Networks Considering Queue Spillbacks.Transportation Research Part C: Emerging Technologies. 133, 103407; doi:10.1016/j.trc.2021.103407
Unlocking the power of EHRs: harnessing unstructured data for machine learning-based outcome predictions
Mohammad Noaeen, S. Amini, S. Bhasker, Z. Ghezelsefli, A. Ahmed, O. Jafarinezhad, and Z. Shakeri. Unlocking the power of EHRs: harnessing unstructured data for machine learning-based outcome predictions. 2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), pp. 1-4.
HealthyPlan.City: A Web Tool to Support Urban Environmental Equity and Public Health in Canadian Communities
D. Doiron, E. M. Setton, J. Syer, A. Redivo, A. McKee, Mohammad Noaeen et al. (2024) HealthyPlan.City: A Web Tool to Support Urban Environmental Equity and Public Health in Canadian Communities. Journal of Urban Health, pp. 1-11.
Predicting depression among canadians at-risk or living with diabetes using machine learning
K. Samsel, A. Tiwana, S. Ali, A. Sadeghi, A. Guergachi, K. Keshavjee, Mohammad Noaeen, and Z. Shakeri. Predicting depression among canadians at-risk or living with diabetes using machine learning. 2024 46th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).
Predicting Diabetes in Canadian Adults Using Machine Learning
K. Esser, M. Duong, K. Kain, S. Tran, A. Sadeghi, A. Guergachi, K. Keshavjee, Mohammad Noaeen, and Z. Shakeri. Predicting Diabetes in Canadian Adults Using Machine Learning. 2024 46th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).
Predicting Donor Selection and Multi-Organ Transplantation within Organ Procurement Organizations Using Machine Learning
C. Tanchip, Mohammad Noaeen, K. Kazari, and Z. Shakeri. Predicting Donor Selection and Multi-Organ Transplantation within Organ Procurement Organizations Using Machine Learning. 2024 46th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).
Identifying prediabetes in canadian populations using machine learning
K. Lu, P. Sheth, Z. L. Zhou, K. Kazari, A. Guergachi, K. Keshavjee, Mohammad Noaeen, and Z Shakeri. Identifying prediabetes in canadian populations using machine learning. 2024 46th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).
Predicting time to diabetes diagnosis using random survival forests
P. Saha, Y. Marouf, H. Pozzebon, A. Guergachi, K. Keshavjee, Mohammad Noaeen, and Z. Shakeri. Predicting time to diabetes diagnosis using random survival forests. 2024 46th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).