ASCE has recognized its newest class of Distinguished Members, a status reserved for the most eminent civil engineers in the Society.
The 2021 honorees:
(click on each name to learn more about the Distinguished Member’s career)
Lilia A. Abron, Ph.D., P.E., BCEE, NAE, Dist.M.ASCE, for advanced environmental engineering and sustainable design through work in both academia and the private sector.
Gregory B. Baecher, Ph.D., Dist.M.ASCE, for developing and implementing probabilistic and risk-based approaches to geotechnical and water resources engineering.
Roberto Ballarini, Ph.D., P.E., F.EMI, Dist.M.ASCE, for advancing fracture mechanics-based design of concrete structures and pioneering of structural and material testing at micrometer and nanometer scales.
Glenn R. Bell, P.E., S.E., F.SEI, Dist.M.ASCE, for technical excellence in structural design, building envelope systems, and earthquake engineering, as well as building the practice of forensic engineering.
John D. Hooper, P.E., S.E., NAC, F.SEI, Dist.M.ASCE, for his eminence in advancing the seismic design provisions of building codes as well as furthering performance-based seismic design.
Joe D. Manous Jr., Ph.D., P.E., D.WRE, F.EWRI, Dist.M.ASCE, for leadership in water resources management and engineering ethics and scholarship.
Satish Nagarajaiah, Ph.D., F.SEI, Dist.M.ASCE, for seminal contributions to seismic isolation, structural control, and structural sensing/monitoring and system identification.
Julio A. Ramirez, Ph.D., P.E., Dist.M.ASCE, for leadership in worldwide data collection, research, and education to enhance resilience of civil infrastructure and communities against natural hazards.
Lucio Soibelman, Ph.D., P.Eng, NAC, Dist.M.ASCE, for outstanding contributions to the construction industry through pioneering data analytics research that enhances capital project construction and operations performance.
Kelvin C.P. Wang, Ph.D., P.E., Dist.M.ASCE, for outstanding contributions to transportation engineering education and research, including innovative research on automated pavement survey and data analysis methods.
