Towards Sustainable, Scalable, and Intelligent Ubiquitous Computing
Published: | 2:27 pm | Posted in: Colloquium
Speaker: Te-Yen Wu Date: Oct 6, 2023 Abstract: Inspired by the visionary landscapes of science fiction, ubiquitous computing has emerged as a futuristic yet transformative paradigm that aims to seamlessly integrate computing technology into the fabric of our everyday lives. However, despite the promise of this vision, it remains uncertain how we can bring the […]
Exploring the Causal Ladder: Unraveling Research in Each Layer
Published: | 7:33 pm | Posted in: Colloquium
Speaker: Ang Li Date: Sep 22, 2023 Abstract: When people engage in discussions about causal inference or causality, their initial focus often revolves around identifying the cause of a particular phenomenon. However, the realm of causal inference extends far beyond this initial perception. To gain a deeper understanding of what causal inference truly encompasses, Professor […]
Helping Scientists Explore Data Through Rich Metadata and Advanced Data Management Tools
Published: | 4:01 pm | Posted in: Colloquium
Speaker: Dr. Jay Lofstead Date: Friday, September 29, 2023, 2:15 – 3:15pm Location: 307 James Love Building Abstract: Scientific observations and simulations generate enormous data volumes that must be explored to gain new insights into physics phenomena. Two mature tool generations have been proposed with each offering different capabilities to aid scientists in their analysis […]
A Survey of Cloud Database Systems
Published: | 3:49 pm | Posted in: Colloquium
Speaker: C. Mohan Date: Friday, October 13, 2023, 2:15 – 3:15pm Location: 307 James Love Building Abstract: In this talk, I will first introduce traditional (non-cloud) parallel and distributed database systems. Concepts like SQL and NoSQL systems, data replication, distributed and parallel query processing, and data recovery after different types of failures will be covered. […]
The Department of Computer Science at the Florida State University welcomes three tenure-track faculty members.
Published: | 2:37 pm | Posted in: News
“We have completed our 2023 faculty recruiting process with an incredibly successful year in terms of both the outcome and the procedure. With the hiring of Ang Li, Te-Yen Wu, and Kai Zhao, we have made a number of advances towards our goal of strengthening our existing core systems research area and growing our research […]
PhD student Rituparna Khan to be featured in Winter 24 FSU Spectrum and selected for FSU Women’s Leadership Institute.
Published: | 2:22 pm | Posted in: Student Recognition
CS PhD student Rituparna Khan will be featured in Jan 24 edition of the Spectrum Magazine where she talked about her research in Bioinformatics under the supervision of Dr. Xian Mallory. She mentioned that their lab is focused on developing computational tools that will help detect mutations using single cell DNA and RNA sequencing data […]
Weikuan Yu Awarded a New Grant on I/O Optimization from Lawrence Livermore National Lab
Published: | 5:34 pm | Posted in: News
Weikuan Yu, Professor in the FSU Department of Computer Science, has been awarded a grant of $83K for research on I/O performance characterization and optimization from Lawrence Livermore National Lab (LLNL).
Sonia Haiduc Chairs a Top International Software Conference
Published: | 5:31 pm | Posted in: News
Dr. Sonia Haiduc, Associate Professor in the Computer Science department, has been selected as a General Chair for the 39th International Conference on Software Maintenance and Evolution held in Colombia between October 1-6, 2023.
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Published: | 1:33 pm | Posted in: Colloquium
Speaker: Gary Tyson Date: Sep 8, 2023 Abstract: Aoccdrnig to a rscheearch at Cmabrigde Uinervtisy, it deosn’t mttaer in waht ore dr the ltteers in a wrod are, the olny iprmoetnt tihng is taht the frist and lsa t ltteer be at the rghit pclae. The rset can be a toatl mses and you can […]
Representation Space of Transformers
Published: | 1:30 pm | Posted in: Colloquium
Speaker: Xiuwen Liu Date: Sep 1, 2023 Abstract: Pretrained large foundation models play a central role in the recent surge of artificial intelligence, resulting in finetuned models with remarkable abilities when measured on benchmark datasets, standard exams, and applications. Due to their inherent complexity, these models are poorly understood. While small adversarial inputs to such […]