
Reginald DesRoches
· Rice University President, Houston, TXRice University · Civil and Environmental Engineering
Active 1994–2026
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About
Reginald DesRoches is the eighth president of Rice University, serving as the chief executive officer of the university, which has over 8,600 students, eight schools, and more than 900 faculty. He is also a professor of civil and environmental engineering, as well as mechanical engineering. DesRoches previously served as Rice's Howard Hughes Provost and William and Stephanie Sick Dean of Engineering, where he led significant growth in research programs, launched new academic and online programs, and expanded the undergraduate student body. His research interests focus on the design of resilient infrastructure systems under extreme loads and the application of smart materials. He has been recognized for his impact and innovation in the field, including election to the National Academy of Engineering and fellowships in prominent engineering societies. DesRoches has played a key role in national efforts to improve infrastructure resilience, notably leading a team to study the impact of the 2010 Haiti earthquake and participating in congressional briefings on infrastructure issues. His academic career includes leadership roles at Georgia Tech, where he served as chair of the School of Civil and Environmental Engineering, and as dean of Rice’s George R. Brown School of Engineering. He holds a B.S. in Mechanical Engineering, an M.S. in Civil Engineering, and a Ph.D. in Structural Engineering from the University of California, Berkeley.
Research topics
- Computer Science
- Artificial Intelligence
- Construction engineering
- Geography
- Systems engineering
- Data science
- Risk analysis (engineering)
- Engineering
Selected publications
The promise of implementing machine learning in earthquake engineering: A state‐of‐the‐art review
Earthquake Spectra · 2020 · 464 citations
Senior authorCorrespondingMachine learning (ML) has evolved rapidly over recent years with the promise to substantially alter and enhance the role of data science in a variety of disciplines. Compared with traditional approaches, ML offers advantages to handle complex problems, provide computational efficiency, propagate and treat uncertainties, and facilitate decision making. Also, the maturing of ML has led to significant advances in not only the main‐stream artificial intelligence (AI) research but also other science…
Seismic fragilities of single‐column highway bridges with rocking column‐footing
Earthquake Engineering & Structural Dynamics · 2019-03-18 · 85 citations
articleSummary Rocking isolation has been increasingly studied as a promising design concept to limit the earthquake damage of civil structures. Despite the difficulties and uncertainties of predicting the rocking response under individual earthquake excitations (due to negative rotational stiffness and complex impact energy loss), in a statistical sense, the seismic performance of rocking structures has been shown to be generally consistent with the experimental outcomes. To this end, this study asses…
Engineering Structures · 2019-04-05 · 63 citations
articleSenior authorEngineering Structures · 2018-11-28 · 52 citations
articleImpact of corrosion on risk assessment of shear-critical and short lap-spliced bridges
Engineering Structures · 2019-03-29 · 34 citations
article
Recent grants
CAREER: Visual Pattern Recognition Models for Remote Sensing of Civil Infrastructure
NSF · $402k · 2010–2013
NEESR-CR - Innovative Seismic Retrofits for Resilient Reinforced Concrete Buildings
NSF · $1.2M · 2010–2015
Collaborative Research: Machine Vision Enhanced Post Earthquake Inspection and Rapid Loss Estimation
NSF · $185k · 2010–2014
Frequent coauthors
- 85 shared
Jamie E. Padgett
Rice University
- 54 shared
Jason McCormick
- 50 shared
Canek Phillips
Rice University
- 50 shared
Samara Boyle
University of New Orleans
- 50 shared
Yvette Pearson
University of Dallas
- 50 shared
Wei Wayne Li
- 50 shared
Stephen Mattingly
The University of Texas at Arlington
- 50 shared
Hanadi S. Rifai
Education
- 1997
Ph.D. Civil Engineering, Civil Engineering
University of California, Berkeley
Awards & honors
- Elected to National Academy of Engineering (2020)
- EERI Distinguished Lecturer (2018)
- Fellow of the Structural Engineering Institute (2016)
- Fellow of the American Society of Civil Engineering (2015)
- ASCE Charles Martin Duke Lifeline Earthquake Engineering Awa…
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