Stanford Doerr School of Sustainability
Showing 1-10 of 63 Results
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Ram Rajagopal
Associate Professor of Civil and Environmental Engineering and of Electrical Engineering
BioRam Rajagopal is an Associate Professor of Civil and Environmental Engineering at Stanford University, where he directs the Stanford Sustainable Systems Lab (S3L), focused on large-scale monitoring, data analytics and stochastic control for infrastructure networks, in particular, power networks. His current research interests in power systems are in the integration of renewables, smart distribution systems, and demand-side data analytics.
He holds a Ph.D. in Electrical Engineering and Computer Sciences and an M.A. in Statistics, both from the University of California Berkeley, Masters in Electrical and Computer Engineering from University of Texas, Austin and Bachelors in Electrical Engineering from the Federal University of Rio de Janeiro. He is a recipient of the NSF CAREER Award, Powell Foundation Fellowship, Berkeley Regents Fellowship and the Makhoul Conjecture Challenge award. He holds more than 30 patents and several best paper awards from his work and has advised or founded various companies in the fields of sensor networks, power systems, and data analytics. -
Oluwatobi Raji
Ph.D. Student in Energy Science and Engineering, admitted Spring 2024
Masters Student in Energy Resources Engineering, admitted Autumn 2022Current Research and Scholarly InterestsOptimize injection well placement for CO2 storage in a field in Kern County California. Key optimization goals are minimization of pressure build-up and maximization of allowable land area for the CO2 storage.
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Carol Reeb
Basic Life Research Scientist, Hopkins Marine Station
BioMy primary research uses the tools of molecular biology and the theory of population genetics to understand patterns of genetic diversity found in aquatic species, especially highly migratory marine species that are commercially harvested and/or vulnerable to extinction and protected by law. Our work is applicable to monitoring population productivity, improving stock assessments, and sustainably managing fishery populations for the future.
