Roanoke MCSP Alums Maya Shende and Thomas Lux will discuss the interesting projects they are working on in their first year of computer science graduate school.
Maya's abstract: "Digitally Discovering Phenotypes to Improve Bioenergy Crop Breeding" -- "The field of computer vision involves using images and image-processing techniques to better understand the world around us and solve problems -- in my case, that of maximizing biofuel production. Sorghum is a leading candidate for bioenergy production, and there are various species of the plant, each of which grow differently. I work with daily images of a field of 400 varieties of sequenced Sorghum species to measure phenotypes (physical characteristics) of the various species in order to determine which species will grow the largest in the least amount of time. This talk will give an overview of the project and my approaches to accomplishing the above task, as well as give my perspective on being a graduate student."
Thomas's abstract: "How Consistent is a Computer, Really?" -- "In our everyday lives we have grown accustomed to computers being a constant. Computers solve problems that require years for a human in just seconds. Yet, there is variance in how long it takes a computer to do the same task multiple times. This variance of performance is a pervasive problem across computer science. In my talk I will share three significant ways that performance variance impacts computer systems in the real world, and introduce you to some modelling methods that we are using to manage and predict variance in the future."
Roanoke MCSP Alums Maya Shende and Thomas Lux will discuss the interesting projects they are working on in their first year of computer science graduate school.Roanoke College, Massengill Auditorium Daniel Robb, firstname.lastname@example.org false MM/DD/YYYY