Upcoming Research Computing Events
This page highlights past and upcoming Kennesaw State events happening in the Center for Research Computing focused on research that creates impacts in business, the sciences, and more! Featured are the Supercomputing Researcher Spotlight Series with Yifan Zhang on Bayesian Statistics, and the Research Computing Speaker Series with Milad Minooie on Agendamelding and COVID-19. Free recordings of these sessions are also available.
KSU proudly offers open office hours on Tuesday and Friday at noon for high-performance computing research support. For guided support outside of these times, please contact tboyle@kennesaw.edu.
2025 Supercomputing Researcher Spotlight Series
In addition to these web-based spotlights, we host a yearly speaker series where we have a KSU HPC researcher share their work and how they use the HPC to accomplish their computation needs. For 2025, we present two sessions from Dr. Todd Pierson, Assistant Professor of Biology in the Department of Ecology, Evolution, and Organismal Biology. Here is a description of the two sessions this year:
Applications of Genomic Data to Study the Ecology and Evolution of Amphibians: Research
and Impact
11AM - 12PM, Monday, March 24, 2025 on
Appalachia is the global center of biodiversity for salamanders. However, these amphibians are notoriously difficult to identify with morphological characters and have gigantic genomes鈥攖wo large challenges to biologists tasked with identifying and classifying their diversity. This presentation is designed for a non-technical audience and includes a series of case studies demonstrating how the Pierson Lab @ KSU uses genomic data to better study the ecology, evolution, and conservation of these amphibians.
Applications of Genomic Data to Study the Ecology and Evolution of Amphibians: Implementation
and Demonstration
11AM - 12PM, Monday, March 31, 2025 on
This presentation is designed for a more technical audience and offers a glimpse into
some of the approaches that the Pierson Lab uses to analyze genomic data on the KSU
HPC. These methods include brief introductions to the handling, processing, and assembly
of large genomic datasets and methods for phylogenomic and population genomic inference.