PLASMA BASED ACCELERATION AND THE ROLE OF HIGH FIDELITY SIMULATIONS IN ITS DEVELOPMENT
ANNA REDGRAVE, GRADUATE STUDENT, ECOLOGY AND EVOLUTIONARY BIOLOGY & SCIENTIFIC COMPUTING Bio: Anna Redgrave began her science career as an undergrad, master's student, and lab technician studying developmental biology in zebrafish. She became fascinated by how complicated developmental systems are, and joined the Wittkopp lab at U-M for her PhD to investigate one mechanism of […]
Deep Neural Networks (DNNs) are used as a machine learning method for both regression and classification problems. Keras is a high-level, Python interface running on top of multiple neural network libraries, including the popular library TensorFlow. In this workshop, participants will learn how to quickly use the Keras interface to perform nonlinear regression and classification […]
This is the sixth workshop in a series of workshops we are offering this semester on the fundamentals of GIS. Each workshop covers one or two key elements of GIS and is self-contained. The focus is on conceptual details that can provide sufficient preparation for applications, but we will also touch upon the technical aspects. […]
A BAYESIAN APPROACH TO ARTIFICIAL NEURAL NETWORKS
VISHWAS GOEL, GRADUATE STUDENT, MATERIALS SCIENCE AND ENGINEERING & SCIENTIFIC COMPUTING Bio: Vishwas is a third year Ph.D. student in the Thornton group, Department of Materials Science and Engineering. His research involves the simulations of the continuum level or microstructure level electrochemical dynamics of energy conversion/storage devices such as batteries, fuel cells, etc. SIMULATION OF […]
PROBING THE CORES OF MASSIVE STARS THROUGH THEIR SURFACE
Software development and computer programming is increasingly a major part of scientific research. When small or large teams are involved in coding the same project, it’s a good idea to adopt team-based practices, such as “pair programming” or “code review” meetings, to ensure quality is maintained in the code. This hands-on workshop will provide examples […]
CHANESE FORTE, GRADUATE STUDENT, ENVIRONMENTAL HEALTH SCIENCES & SCIENTIFIC COMPUTING Bio: Chanese is a Dual PhD student pursuing a degree in the Environmental Health Sciences and Scientific Computing. Chanese’s research interests lie in chemical exposure in agriculture workers and cellular alteration. ASCERTAINING PESTICIDE EXPOSURE AND BIOACTIVITY USING OPEN SOURCE DATA: Pesticides are known to be […]
This workshop will further develop the material covered on spatial databases in the first workshop a few weeks back. PostGIS is the most widely used spatial database and is built on top of PostgreSQL, a powerful open source relational database. The focus of this workshop is to exploit PostGIS to deal with big vector data, […]