The vision of the Center for Computational Science’s “CCS Fellows Program” is to inspire a new generation of leaders in computational science to cross the traditional boundaries between disciplines, by equipping them with new cross-disciplinary skills and experience. The Program does this by offering mentorship outside the students’ area of expertise. “CCS Fellow” is a prestigious designation awarded to two undergraduate students and two graduate students per year.
Join us on Thursday, April 26, 2018, 3:00-5:00 PM at the Abess Center (Ungar 230C-D)
for the 2017-2018 CCS Fellows’ concluding project presentations.
This event is free and open to interested UM Faculty/Staff/Students. Refreshments will be served.
The Leonard and Jane Abess Center for Ecosystem Science and Policy, Room 230C-D, in the Arthur A. Ungar Building, 1365 Memorial Drive, Coral Gables, FL 33146. | Map + Directions
Meet the CCS Fellows:
Advisor Brian Haus, PhD | Department of Ocean Sciences
CCS Mentor Shahriar Negahdaripour, PhD | Electrical & Computer Engineering
Project Image Rectification for Polarimetric Slope Sensing Data
Bio Hanjing is a first-year Ph.D student working under the supervision of Dr. Brian Haus at the Division of Applied Marine Physics, University of Miami. She received her M.Sc. in Civil and Environmental Engineering in 2015 from HKUST. Her research interests focus on both fluid dynamics and morphology in coastal regions, by using laboratory and mathematical models she hopes to investigate the realistic evolution of the coastal environment. Hanjing does research in Civil Engineering, Ocean Engineering, and Remote Sensing.
Advisor Tamay Özgökmen, PhD | Department of Ocean Sciences
CCS Mentor Miroslav Kubat, PhD | Electrical & Computer Engineering
Project Predicting Ocean Dispersion Using Neural Networks
Bio Matt Grossi is a PhD student in Meteorology and Physical Oceanography at the Rosenstiel School of Marine and Atmospheric Science (RSMAS). He is working with Dr. Tamay Özgökmen and the Consortium for Advanced Research on Transport of Hydrocarbon in the Environment (CARTHE) towards understanding and predicting how spilled oil gets transported in the ocean using field observations, hydrodynamic models, and, as a CCS Fellow, neural networks. Matt holds a B.S. in Physical Oceanography with a minor in Meteorology from Florida Institute of Technology and a M.S. in Oceanography from the University of Delaware. Before coming to the University of Miami, he worked in the Ocean Observation Laboratory at the University of Massachusetts Dartmouth School for Marine Science and Technology (SMAST) where he oversaw underwater glider operations and maintained a regional network of high-frequency (HF) radar sites for monitoring coastal ocean surface currents in near real time.
Advisor Michael Mcullough, PhD | Department of Psychology
CCS Mentor Kamal Premarathe, PhD | Electrical & Computer Engineering
Project Properties of Network Models in Social Psychology
Bio Thomas graduated with a B.S. in psychology from the University of Delaware in 2014, and an M.A. in experimental psychology from the College of William & Mary in 2017. He joined the EHB lab in fall of 2017, with the aim of pursuing questions pertaining to the evolved psychological mechanisms underlying cooperation, punishment, emotion, and morality. His goal is to understand how these mechanisms interact with enduring ecological features by identifying points of variance and invariance in their function across diverse societies. He’s also interested in statistics, experimental methodology, reproducibility in psychological science, and meta-science.
Advisor Michelle Afkami, PhD | Department of Biology
CCS Mentor Neil Johnson, PhD | Department of Physics
Project Modeling Relationships Between Taxa Using Microbiome Networks
Bio Sathvik is an undergraduate student pursuing a degree in Biology and Mathematics (Applied). He is interested in emerging systems biology approaches to complex problems and is currently using coexpression network analyses of RNAseq data to ask about the molecular basis of Multiple Mutualist Effects.