Mohammad Ilbeigi

Assistant Professor

School: School of Engineering and Science

Department: Civil, Environmental and Ocean Engineering

Building: ABS

Room: 226

Phone: (201) 2168048

Email: milbeigi@stevens.edu

Research

Resilient Infrastructure Systems
Disaster Management
Smart Cities
Smart Facility Management
Data-Driven Uncertainty Analysis

Institutional Service
  • Teaching Excellence Committee (T-LEC) Member
Professional Service
  • MDPI Infrastructures Reviewer
  • MDPI Sustainability Reviewer
  • TRB Reviewer
  • Journal of Management in Engineering Reviewer
  • Journal of Performance of Constructed Facilities Reviewer
  • Journal of Construction Engineering and Management Reviewer
  • Automation in Construction Reviewer
  • ASCE Construction Research Congress (CRC) 2020 Reviewer
Appointments

Stevens Institute of Technology
2019-Present Assistant Professor, Department of Civil, Environmental, and Ocean Engineering (CEOE)
Bowling Green State University (BGSU)
2017-2019 Assistant Professor, Department of Construction Management

Honors and Awards

1- Outstanding Reviewer for the ASCE Journal of Performance of Constructed Facilities, (2019)
2- The 2017 ASCE Thomas Fitch Rowland Prize, (2017)
3- Nominated for the ASCE Arthur M. Wellington Prize, (2016)
4- Sam Nunn Security Program (SNSP) Fellowship, (2016)
5- Travel grant, Associated Schools of Construction (ASC) for the 52nd ASC annual conference, (2016)
6- 2nd Place, STRIDE Poster Competition at the 93rd TRB Annual Meeting, (2014)
7- Finalist for Academic Poster Session, Construction Industry Institute (CII) Annual Conference, (2014)

Professional Societies
  • ASCE – American Society of Civil Engineers Member
  • TRB – Transportation Research Board Member
  • ASA – American Statistical Association Member
Grants, Contracts, and Funds

Title: Collaborative Research: A Dynamic Disruption Prediction System for Transportation Networks at a Road-Segment Level of Granularity
Sponsor: National Science Foundation (NSF)
Award Amount: $252,103
Start Date: Oct 1, 2020
Expected Finish Date: Sept 30, 2023

Selected Publications
Conference Proceeding
  1. Ilbeigi, M. (2019). An Empirical Markov Process Model for Optimal Bridge Inspection. 55th ASC Annual International Conference Proceedings (pp. 477).
  2. Garrow, L.; German, B.; Ilbeigi, M. (2018). Conceptual models of demand for electric propulsion aircraft in intra-urban and thin-haul markets. proceedings of the 97th Annual Meeting of the Transportation Research Board, Washington DC (pp. 1--22).
  3. Garrow, L. A.; Ilbeigi, M.; Chen, Z. (2017). Forecasting demand for on demand mobility. 17th AIAA Aviation Technology, Integration, and Operations Conference (pp. 3280).
  4. Ilbeigi, M.; Joukar, A.; Ashuri, B. (2016). Modeling and forecasting the price of asphalt cement using generalized auto regressive conditional heteroscedasticity. Construction Research Congress 2016 (pp. 698--707).
  5. Ilbeigi, M.; Ashuri, B.; Hui, Y. (2014). A stochastic process to model the fluctuations of asphalt cement price. Construction Research Congress 2014: Construction in a Global Network (pp. 1111--1118).
  6. Ilbeigi, M.; Ashuri, B.; Shayegh, S. (2014). Empirical study of effects of price adjustment clauses (PACs) on highway construction Bid. Construction Research Congress 2014: Construction in a Global Network (pp. 1093--1102).
Journal Article
  1. Garrow, L. A.; Chen, Z.; Ilbeigi, M.; Lurkin, V. (2020). A new twist on the gig economy: conducting surveys on Amazon Mechanical Turk. Transportation (1 ed., vol. 47, pp. 23--42). Springer US.
  2. Ilbeigi, M.; Jagupilla, S. C. (2020). An Empirical Analysis of Association between Socioeconomic Factors and Communities’ Exposure to Natural Hazards. Sustainability (16 ed., vol. 12, pp. 6342). MDPI.
  3. Ilbeigi, M.; Ebrahimi Meimand, M. (2020). Statistical Forecasting of Bridge Deterioration Conditions. Journal of Performance of Constructed Facilities (1 ed., vol. 34, pp. 04019104). American Society of Civil Engineers.
  4. Ilbeigi, M.; Pawar, B. (2020). A Probabilistic Model for Optimal Bridge Inspection Interval. Infrastructures (6 ed., vol. 5, pp. 47). Multidisciplinary Digital Publishing Institute.
  5. Ilbeigi, M. (2019). Statistical process control for analyzing resilience of transportation networks. International journal of disaster risk reduction (vol. 33, pp. 155--161). Elsevier.
  6. Ilbeigi, M.; Lurkin, V.; Garrow, L. A. (2019). Using Internet-based marketplaces to conduct surveys: An application to airline itinerary choice models. Transportation Research Part C: Emerging Technologies (vol. 103, pp. 129--141). Pergamon.
  7. Ilbeigi, M.; Dilkina, B. (2018). Statistical approach to quantifying the destructive impact of natural disasters on petroleum infrastructures. Journal of Management in Engineering (1 ed., vol. 34, pp. 04017042). American Society of Civil Engineers.
  8. Ilbeigi, M.; Ashuri, B.; Joukar, A. (2017). Time-series analysis for forecasting asphalt-cement price. Journal of Management in Engineering (1 ed., vol. 33, pp. 04016030). American Society of Civil Engineers.
  9. Ilbeigi, M.; Castro-Lacouture, D. (2017). Effects of price-adjustment clauses on number of bidders and dispersion of bid prices in highway construction. Journal of Management in Engineering (4 ed., vol. 33, pp. 04017013). American Society of Civil Engineers.
  10. Ilbeigi, M.; Castro-Lacouture, D.; Joukar, A. (2017). Generalized autoregressive conditional heteroscedasticity model to quantify and forecast uncertainty in the price of asphalt cement. Journal of management in engineering (5 ed., vol. 33, pp. 04017026). American Society of Civil Engineers.
  11. Ilbeigi, M.; Ashuri, B. (2016). Financial Valuation of Material Price Adjustment Clauses.
  12. Ilbeigi, M.; Ashuri, B.; Shayegh, S. (2016). Price adjustment clauses and submitted bid prices for major asphalt line items in highway projects. Journal of Construction Engineering and Management (5 ed., vol. 142, pp. 04015103). American Society of Civil Engineers.
  13. Ilbeigi, M.; Shayegh, S.; Mostaan, K.; Ashuri, B. (2015). A Quantitative Approach for Analyzing Material Price Effects on Bid Prices of Highway Projects.
  14. Heravi, G.; Ilbeigi, M. (2012). Development of a comprehensive model for construction project success evaluation by contractors. Engineering, Construction and Architectural Management. Emerald Group Publishing Limited.
  15. Ilbeigi, M.; Heravi, G. (2010). Forecasting construction project performance using Monte-Carlo simulation approach. AACE Int. Trans.
  16. Ilbeigi, M.; Jagupilla, S.. An Empirical Analysis of Association Between Socioeconomic Factors and Communities' Vulnerability to Natural Disasters. Sustainability (6 ed., vol. 12, pp. 6342). MDPI.
Ph.D. Thesis
  1. Ilbeigi, M. (2017). Analyzing uncertainty in the price of materials and financial risk management strategies. Georgia Institute of Technology.
Technical Report
  1. Ilbeigi, M.; Ashuri, B.; Kashani, H. (2016). A real option approach for financial valuation of material price adjustment clauses in transportation projects.
  2. Ilbeigi, M.; Ashuri, B.; Shayegh, S. (2015). A data mining approach for analyzing the effects of price adjustment clauses on bid prices considering material quantity and projects size.
  3. Ashuri, B.; Kingsley, G.; Rogers, J.; Gahrooei, M. R.; Ilbeigi, M.; Sung, E. J.; Toroghi, S. S.; others (2015). Streamlining project delivery through risk analysis.. Georgia. Department of Transportation. Office of Research.
  4. Ashuri, B.; Ilbeigi, M.; Shayegh, S.; Hui, Y.; others (2014). Development of risk management strategies for state DOTs to effectively deal with volatile prices of transportation construction materials.. Georgia. Department of Transportation. Office of Research.