Grogan, S., Gamache, M., & Pellerin, R. (2023). Using Historical Data to Dynamically Route Post-Disaster Assessment Unmanned Aerial Vehicles in the Context of Responding to Tornadoes. Applied Sciences, 13(7), 4178. https://doi.org/10.3390/app13074178

Grogan, S., Perrier, N., Gamache, M., & Pellerin, R. (2022). Location of disaster assessment UAVs using historical tornado data. Geomatics, Natural Hazards and Risk. https://doi.org/10.1080/19475705.2022.2115407

Garnett, H. A., & Grogan, S. (2021). I Came, I Saw, I Voted: Distance to Polling Locations and Voter Turnout in Ontario, Canada. Canadian Journal of Political Science, 1–19. https://doi.org/10.1017/S0008423921000196

Grogan, S., Pellerin, R., & Gamache, M. (2021). Using tornado-related weather data to route unmanned aerial vehicles to locate damage and victims. OR Spectrum. https://doi.org/10.1007/s00291-021-00640-1

Grogan, S., Gamache, M., & Pellerin, R. (2018). The use of unmanned aerial vehicles and drones in search and rescue operations – a survey. Pro-Log Project Logistic 2018, 1–20.

Grogan, S., Gamache, M., & Pellerin, R. (2018, June). Use of UAVs in Post-Disaster Response [Presentation]. ProLog 2018, University of Hull, Hull, UK.

Grogan, S., Pellerin, R., & Gamache, M. (2018, October). A Framework for Using Drones After a Tornado [Presentation]. INFORMS 2018, Phoneix, AZ.

Grogan, S. (2016). An adaptive neighborhood search algorithm for optimizing stochastic mining complexes [Thesis, Universite de Montreal]. http://hdl.handle.net/1866/16160

Grogan, S. (2013, September 19). Applying mathematical models to complex mining operations at Newmont McGill Reporter. McGill Reporter. https://publications.mcgill.ca/reporter/2013/09/applying-mathematical-models-to-complex-mining-operations-at-newmont/