Denver, 16 November 2017.- Today, Linda Gesenhues is one of twelve students being recognized with ACM SIGHPC/Intel Computational and Data Science Fellowships for 2017 during the SC17 conference, which takes place this week in Denver, Colorado (USA).
Linda, a PhD student from COPPE-UFRJ, has been involved in the project from the start. She is currently doing her PhD in fluid mechanics in the mechanical engineering department of the Federal University of Rio de Janeiro in Brazil. In the HPC4E project, she is involved in WP6, Geophysics for Energy, and has contributed with basic numerics to WP3, Simulators for Exascale Computation.
“Winning the ACM SIGHPC/Intel Computational & Data Science Fellowship is a great honour for me. It attaches importance to my research and endorses my professional development. I feel supported to study and work in the field of HPC and to grow with the challenges.
Many of humanity’s greatest demands are too complex to comprehend without computational methods, such as producing sustainable energy or predicting earthquakes and meteorological disasters. I hope to be able to contribute towards improving our world. The fellowship encourages me to keep advancing and will help me establish myself in the field of supercomputing”, says Linda Gesenhues.
About Linda Gesenhues
Linda Gesenhues is a PhD student in the department of mechanical engineering at the Federal University of Rio de Janeiro in Brazil. She did her undergraduate and master’s degree at the RWTH Aachen in Germany, achieving Dean’s list membership. She concluded the master’s degree at RWTH Aachen with distinction and her final research project about computational design of ventricular assist devices was honored by the Friedrich-Wilhelm prize, which awards outstanding achievements. During her studies, she spent a year at the University of Wisconsin-Madison in the USA, as well as, a four-month internship at DuPont in Geneva in Switzerland. Linda’s current work is dedicated to fluid dynamics of turbidity currents targeting advancing a 3D fluid solver for sedimentation. Here, she focusses on viscoplastic flow behavior and its methods.
More information: http://www.sighpc.org/fellowships/2017