Omar E. Mora

Omar E. Mora

Associate Professor of Geospatial Engineering, Civil Engineering Department, College of Engineering

Email

Phone number

909.869.2656

Office location

Building 9 - Room 421

Office hours

M | 10:00 AM - 12:00 PM IN 17-1671 F | 8:00 AM - 10:00 AM IN 9-421

Education

  • Ph.D. Geodetic Engineering, Department of Civil, Environmental and Geodetic Engineering, The Ohio State University, 2015
  • M.S. Geomatics Engineering, Lyles School of Civil Engineering, Purdue University, 2010
  • B.S. Civil Engineering - Emphasis: Geospatial Engineering, Civil Engineering Department, California State Polytechnic University, Pomona, 2007

Teaching

  • CE 1011/1011L – Surveying Engineering & Laboratory (Undergraduate)
  • CE 2011 – Technical Communications (Undergraduate)
  • CE 2070 – Computer Programming and Numerical Methods (Undergraduate)
  • CE 3301 – Engineering Geomatics (Undergraduate)
  • CE 4301/4301L - Digital Mapping & Laboratory (Undergraduate)
  • CE 4350/4350L – Photogrammetry & Laboratory (Undergraduate)
  • EGR 4810/4820/4830 – Project Design Principles and Applications (Undergraduate)
  • CE 5990 – Applications of Geospatial Technologies for Practitioners (Graduate)

Selected Publications

  • Refereed Journals:
  1. Truong, L.N.H., Clay, E., Mora, O.E., Cheng, W., Singh, M., & Jia, X., 2022. Rotated Mask Region-Based Convolutional Neural Network Detection for Parking Space Management System. Transportation Research Record.
  2. McMahon, C., Mora, O.E. and Starek, M.J., 2021. Evaluating the Performance of sUAS Photogrammetry with PPK Positioning for Infrastructure Mapping. Drones, 5(2), p.50.
  3. Truong, L.N.H., Mora, O.E., Cheng, W., Tang, H. and Singh, M., 2021. Deep Learning to Detect Road Distress from Unmanned Aerial System Imagery. Transportation Research Record.
  4. Mora, O.E., Langford, M., Mislang, R., Josenhans, R. and Chen, J., 2020. Precision performance evaluation of RTK and RTN solutions: a case study. Journal of Spatial Science, pp.1-14.
  5. Mora, O.E., Chen, J., Stoiber, P., Koppanyi, Z., Pluta, D., Josenhans, R. and Okubo, M., 2020. Accuracy of stockpile estimates using low-cost sUAS photogrammetry. International Journal of Remote Sensing, 41(12), pp.4512-4529.
  6. Mora, O.E., Suleiman, A., Chen, J., Pluta, D., Okubo, M.H. and Josenhans, R., 2019. Comparing sUAS Photogrammetrically-Derived Point Clouds with GNSS Measurements and Terrestrial Laser Scanning for Topographic Mapping. Drones, 3(3), p.64.
  7. Tran, C.J., Mora, O.E., Fayne, J.V. and Lenzano, M.G., 2019. Unsupervised Classification for Landslide Detection from Airborne Laser Scanning. Geosciences, 9(5), p.221.
  8. Mora, O.E., Lenzano, M.G., Toth, C.K., Grejner-Brzezinska, D.A. and Fayne, J.V., 2018. Landslide change detection based on multi-temporal airborne LIDAR-derived DEMs. Geosciences, 8(1), p.23.
  9. Mora, O.E., Liu, J.K., Gabriela Lenzano, M., Toth, C.K. and Grejner-Brzezinska, D.A., 2015. Small landslide susceptibility and hazard assessment based on airborne lidar data. Photogrammetric Engineering & Remote Sensing, 81(3), pp.239-247.
 
  • Other Refereed Publications:
  1. Clay, E.R., Lee, K.S., Tan, S., Truong, L.N.H., Mora, O.E., and Cheng, W.: PERFORMANCE EVALUATION OF BUILDING FAÇADE RECONSTRUCTION FROM UAS IMAGERY, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVI-M-2-2022, 65–69, https://doi.org/10.5194/isprs-archives-XLVI-M-2-2022-65-2022, 2022.
  2. Clay, E.R., Lee, K.S., Tan, S., Truong, L.N.H., Mora, O.E., and Cheng, W.: ASSESSING THE ACCURACY OF GEOREFERENCED POINT CLOUDS FROM UAS IMAGERY, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVI-M-2-2022, 59–64, https://doi.org/10.5194/isprs-archives-XLVI-M-2-2022-59-2022, 2022.
  3. Perez, F.J. and Mora, O.E., 2022. A Vision-Based System for Structural Displacement Measurement. 7th World Congress on Civil, Structural, and Environmental Engineering (CSEE'22), ICSECT 127, pp.1-8.
  4. Chen, J., Mora, O.E., and Clarke, K.C.: ASSESSING THE ACCURACY AND PRECISION OF IMPERFECT POINT CLOUDS FOR 3D INDOOR MAPPING AND MODELING, ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-4/W6, 3–10, https://doi.org/10.5194/isprs-annals-IV-4-W6-3-2018, 2018.
  5. Mora, O.E., Lenzano, M.G., Toth, C.K., and Grejner-Brzezinska, D.A.: Analyzing the Effects of Spatial Resolution for Small Landslide Susceptibility and Hazard Mapping, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-1, 293–300, https://doi.org/10.5194/isprsarchives-XL-1-293-2014, 2014.