| Data analytics in asset management: Cost-effective prediction of the pavement condition index SM Piryonesi, TE El-Diraby Journal of Infrastructure Systems 26 (1), 04019036, 2020 | 331 | 2020 |
| Role of data analytics in infrastructure asset management: Overcoming data size and quality problems SM Piryonesi, TE El-Diraby Journal of Transportation Engineering, Part B: Pavements 146 (2), 04020022, 2020 | 259 | 2020 |
| Using machine learning to examine impact of type of performance indicator on flexible pavement deterioration modeling S Madeh Piryonesi, TE El-Diraby Journal of Infrastructure Systems 27 (2), 04021005, 2021 | 135 | 2021 |
| Examining the relationship between two road performance indicators: Pavement condition index and international roughness index SM Piryonesi, TE El-Diraby Transportation Geotechnics 26, 100441, 2021 | 79 | 2021 |
| Climate change impact on infrastructure: A machine learning solution for predicting pavement condition index SM Piryonesi, T El-Diraby Construction and building materials 306, 124905, 2021 | 52 | 2021 |
| Using Data Analytics for Cost-Effective Prediction of Road Conditions: Case of The Pavement Condition Index SM Piryonesi, T El-Diraby Federal Highway Administration, 2018 | 39* | 2018 |
| A mathematical programming model for solving cost-safety optimization (CSO) problems in the maintenance of structures SM Piryonesi, M Tavakolan KSCE Journal of Civil Engineering 21, 2226-2234, 2017 | 35 | 2017 |
| Resource leveling in construction projects with activity splitting and resource constraints: a simulated annealing optimization SM Piryonesi, M Nasseri, A Ramezani Canadian Journal of Civil Engineering 46 (2), 81-86, 2019 | 30 | 2019 |
| The Application of Data Analytics to Asset Management: Deterioration and Climate Change Adaptation in Ontario Roads SM Piryonesi | 28 | 2019 |
| A comprehensive review of approaches used by Ontario municipalities to develop road asset management plans TE El-Diraby, S Kinawy, SM Piryonesi Transportation Research Board 96th Annual MeetingTransportation Research Board, 2017 | 19 | 2017 |
| Predicting falls and injuries in people with multiple sclerosis using machine learning algorithms SM Piryonesi, S Rostampour, SA Piryonesi Multiple sclerosis and related disorders 49, 102740, 2021 | 16 | 2021 |
| A Machine-Learning Solution for Quantifying the Impact of Climate Change on Roads SM Piryonesi, TE El-Diraby CSCE Annual Conference, Laval, 2019 | 12 | 2019 |
| A data analytics solution for predicting the condition of roads using the most affordable attributes SM Piryonisi, TE El-Diraby Canadian Society of Civil Engineering, 2017 | 4 | 2017 |
| Assessing asset management competency with focus on levels of service and climate change SM Piryonesi, T El-Diraby Infrastructure Asset Management 8 (2), 98-108, 2021 | 2 | 2021 |
| Scientific Report: Beneficial Reuse of Excess Soil at Aggregate Pits and Quarries SM Piryonesi, D Carnegie, L Weissling Toronto. Potoglou, D., & Kanaroglou, PS (2008). Modelling car ownership in …, 2021 | 2 | 2021 |
| Best Management Practices for Aggregate Pit and Quarry Rehabilitation in Ontario SM Piryonesi, D Carnegie, L Weissling Ontario Society of Professional Engineers, 2021 | 2 | 2021 |
| A data analytics solution for predicting the pavement condition index of roads using the most affordable attributes SM Piryonesi, T El-Diraby CSCE Annual Conference 2017, Vancouver, 2017 | 2 | 2017 |
| Resource leveling in construction projects using simulated annealing with activity splitting allowed and limited resource availabilities M Piryonesi, M Nasseri, M Tavakolan 8th National Conference of Civil Engineering, 2014 | 1 | 2014 |
| Lifetime oriented multi-objective cost optimization of structural maintenance considering the safety of the system SM Piryonesi, M Nasseri, M Tavakolan CSCE Annual Conference 1, 656-663, 2014 | 1 | 2014 |
| Circular Economy of Soil: Best Practices in Excess Soil Management in Ontario SM Piryonesi, D Carnegie, L Weissling CSCE Annual Conference, Niagara Falls, 2024 | | 2024 |
Tamer El-DirabyUniversity of TorontoVerified email at ecf.utoronto.ca