Faculty
Michael H. Gardner, PhD, PE
Assistant Professor
Department of Civil and Environmental Engineering
University of California, Davis
Email: mhgardner[@]ucdavis[.]edu
Curriculum Vitae
- Ph.D., Civil and Environmental Engineering,
University of California, Berkeley, 2018 - M.S., Civil and Environmental Engineering,
University of California, Berkeley, 2012 - B.S., Civil and Environmental Engineering,
University of California, Berkeley, 2010
Current Members
Nanthaya Mira Verweij
MS Student
Email: nverweij[@]ucdavis[.]edu
Research Topic: Multispectral Imaging for Identifying Spatially Varying Flood Depths
- B.S., Civil and Environmental Engineering,
University of California, Berkeley, 2024
Yuval Keissar
PhD Student (co-advised with Nicholas Sitar at UCB)
Email: yuval_keissar[@]berkeley[.]edu
Research Topic: Granular mechanics governing rock avalanche runout
- M.S., Geological and Environmental Sciences,
Ben-Gurion University of the Negev, 2019 - B.S., Engineering Geology
Ben-Gurion University of the Negev, 2016
Jakob Scheel
PhD Student (co-advised with Philipp Ruprecht at UNR)
Email: jscheel[@]nevada[.]unr.edu
Research Topic: Mafic magmatic enclaves as tracer of protracted mixing and hybridization
- M.S., Geophysics,
University of Hamburg, 2022 - B.S., Geophysics
University of Hamburg, 2019
Past Members
Master's Students
Ingrid Suter, MS, UNR (co-advised with Scott McCoy), 2022, Mapping bed forces to granular flow properties
Justin Toller, MS, UNR (co-advised with Kait Keegan), 2023, Using the Lattice Boltzmann Method to Estimate the Air Transport Properties of Polar Firn
Undergraduate Students
Simeon Buttery, BS, UC Davis, 2024, Hypergravity Testing Procedures for Permafrost Thawing Dynamics
Hamad Khan, BS, UC Merced, 2024, Hypergravity Testing Procedures for Permafrost Thawing Dynamics
Ruoyan Wang, BS, University of Science and Technology of China, Multispectral Image Segmentation for Identifying Flood Impacts
Kevin Ostfeld, BS, UNR, 2023, Multispectral Imaging for Identifying Erosional and Depositional Patterns During Extreme Flooding