Dr. Alireza Shams
Dr. Alireza Shams is an Assistant Professor in the Department of Environmental and Civil Engineering at Mercer University. Before joining Mercer, Dr. Shams worked as an Assistant Professor at State University of New York – Farmingdale State College. His research experience covers a wide variety of transportation engineering areas including new sensing technologies, transportation safety, intelligent transportation systems (ITS), geomatics, and geographic information systems (GIS). He has authored and co-authored numerous peer-reviewed research articles and conference proceeding papers in the application of light detection and ranging (LiDAR) in transportation, transportation safety, GIS, and ITS.
- Ph.D. in Civil Engineering – Transportation, Clemson University
- M.S. in Civil Engineering – Transportation, Kansas State University
- M.A. in Urban and Regional Planning, Shiraz Unviersity, Shiraz, Iran
- B.S. in Civil Engineering – Surveying, University of Isfahan, Isfahan, Iran
Area(s) of Specialization
- Traffic Engineering
- Transportation Safety
- LiDAR applications in transportation asset management
- Traffic operation and simulation
- Intelligent Transportation Systems (ITS)
- Statistical and data mining applications in transportation
- Building Information Modeling (BIM) for infrastructures
- Shokri, D., Rastiveis, H., Sarasua, W. A., & Homayouni, S. (2021). A Robust and Efficient Method for Power Lines Extraction from Mobile LiDAR Point Clouds. PFG-Journal of Photogrammetry, Remote Sensing and Geoinformation Science, 1-24.
- Safaie, A. H., Rastiveis, H., Shams, A., Sarasua, W. A., & Li, J. (2021). Automated street tree inventory using mobile LiDAR point clouds based on Hough transform and active contours. ISPRS Journal of Photogrammetry and Remote Sensing, 174, 19-34.
- Famili, A., Sarasua, W. A., Shams, A., Davis, W. J., & Ogle, J. H. (2021). Application of Mobile Terrestrial LiDAR Scanning Systems for Identification of Potential Pavement Rutting Locations. Transportation Research Record, 03611981211005777.
- Shams, A., Sarasua, W. A., Putman, B. J., Davis, W. J., & Ogle, J. H. (2020). Highway Cross-Sectional Design and Maintenance to Minimize Hydroplaning. Journal of Transportation Engineering, Part B: Pavements, 146(4), 04020065.
- Shams, A., Soltani, A., Asadi, N., and Famili, F. (2020). “The Impact of Connected Vehicles on Freeway Travel Time” International Conference on Transportation and Development. International Conference on Transportation and Development. pp. 206-214.
- Rastiveis, H., Shams, A., Sarasua, W.A., and Li, J. (2020) “Automated Extraction of Lane Markings from Mobile LiDAR Point Clouds based on Fuzzy Inference” ISPRS Journal of Photogrammetry and Remote Sensing. 160, pp 149-166
- Shams, A., Dissanayake, S. and Dias, I. (2020) “Safety Effects of Bypass Lanes at Rural Two-Lane, Two-Way Unsignalized Intersections” Journal of Transportation Safety and Security, pp 1-19.
- Ravani, B., Donohoe, S., Shams, A., and Yen. K. (2020) “Developing a Strategic Roadmap for Caltrans Implementation of Virtual Design Construction/Civil Integrated Management” (CA 20-3178, UCD-ARR-20-02-29-01), California Department of Transportation (Caltrans).
- Shokri, D. Rastiveis, H., Shams, A., and Sarasua, W.A. (2019) “Power Line Poles Extraction from Mobile LiDAR Data in Urban Areas” ISPRS International Joint Conferences SMPR and GIResearch. The Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., Vol: XLII-4/W18, pp 1001-1007.
- Zaboli, M., Rastiveis, H., Shams, A., Hosseiny, B., and Sarasua, W.A. (2019) “Classification of Mobile Terrestrial LiDAR Point Clouds in Urban Area Using Local Features” ISPRS International Joint Conferences SMPR and GIResearch. The Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., Vol: XLII-4/W18, pp 1117-1122.
- Shams, A., Sarasua, W., Famili, A., Davis, W., Ogle. J. Cassule, L., and Mammadrahimli, A. (2018) “Highway Cross-Slope Measurement using Mobile LiDAR” Transportation Research Record 2672, no.39, pp 88-97.
- Famili, F., Sarasua, W. A., Ogle, J. H., Shams, A., and Asadi, N. (2018) “GIS Based Spatial Analysis of Pedestrian Crashes: A Case Study of South Carolina” International Conference on Transportation and Development. pp 368-376.