Five ICME students have been named 2017 Schlumberger Innovation Fellows. The Schlumberger Innovation Fellows program recognizes aspiring scholars in the fields of machine learning, deep learning, high performance computing, and 3D modeling and data visualization. The award was established to encourage scholarship and research in these emerging technology areas, which hold great promise across many industries to improve performance, lower costs, increase accuracy and provide new research and business insights.
2017 marks the first year of the Schlumberger Innovation Fellows program, which, in addition to fostering collaboration between Fellows, Stanford faculty, and members of the Schlumberger Software Technology Innovation Center (STIC), includes a $10,000 Fellowship award.
Eileen Martin is a PhD candidate in ICME, advised by Biondo Biondi. She holds B.S. degrees in mathematics and computational physics from the University of Texas at Austin. Her thesis focuses on using fiber optic cables to record ambient seismic noise, which can continuously generate large amounts of data at low cost, and that data is used to characterize the top few hundred feet of the Earth's surface.
Gregory dePaul is a first year ICME masters student, pursuing research in high performance computing, specifically through parallelization. DePaul graduated from the University of Arizona with majors in Mathematics, Computer Science and Electrical Engineering.
Olivier Moindrot is a first year masters student in the ICME Data Science track. Before coming to Stanford, he studied applied mathematics and computer science at the Ecole Polytechnique in France. At Stanford, Moindrot holds a research assistantship with Sharad Goel and Rob Jackson in a machine learning project of gas leak detection: he trains deep convolutional neural networks to predict the locations of gas leaks using methane concentration data collected by cars on the road.
Neel V. Rakholia is a first year masters student studying in the ICME Data Science track. His research interests are in machine learning and mathematical modeling. Prior to Stanford, he earned a BS in applied mathematics from Columbia University.
Suhas Suresha is a second year masters student in ICME. His interests lie in the fields of machine learning, artificial intelligence and deep learning. He holds both M.Tech and B.Tech degrees in Aerospace Engineering from IIT Madras.
This program is made possible with the generous support of Schlumberger, the world's leading provider of technology for reservoir characterization, drilling, production, and processing to the oil and gas industry. Applications will be sought in autumn quarter 2017 to award a second cohort of Fellows for the 2017-2018 school year.