Evgenia Smirni

Sidney P. Chockley Professor
College of William and Mary
Computer Science Department
Mailing address
College of William and Mary
Department of Computer Science
P.O. Box 8795
Williamsburg, VA 23187-8795
McGlothlin-Street Hall, 103
Phone: +1-757-221-3580
Fax: +1-757-221-1717
Main Office: +1-757-221-3455
Full CV [ PDF ]
For electronic contact info: please refer to the CV

Research Interests

Performance, Reliability and Dependability, Applied Machine Learning, Analytical Modeling,
Workload Characterization, Markov Chains, Matrix-Analytic Methods, Performance Tools,
HPC, Data Centers, Storage Systems, Cloud Computing

IEEE Fellow, ACM Distinguished Scientist, IFIP W.G.s 7.3 and 10.4

SIGMETRICS 2023 General Chair

List of Publications (from the DBLP Bibliography Server)
(for a full list take a look at the CV and email me if there is a paper that you cannot access)

What I have been working on recently...
[VLDB'22] "Optimizing Inference Serving on Serverless Platforms"
[GoodIT'22] "GeoSpread: an Epidemic Spread Modeling Tool for COVID-19 Using Mobility Data"
[DSN'22] " Strategic Safety-Critical Attacks against an Advanced Driver Assistance System"
[IEEE TDSC'22] "Lifespan and Failures of SSDs and HDDs: Similarities, Differences, and Prediction Models", (to appear).
[DSN'21] "Data-centric Reliability Management in GPUs"
[Sigmetrics'21] ``SUGAR: Speeding-up GPGPU Application Resilience Estimation with Input Sizing".
[ICSE 2021] "Enabling Software Resilience in GPGPU Applications via Partial Thread Protection".
[IEEE TC'21] "Practical Resilience Analysis of GPGPU Applications in the Presence of Single- and Multi-Bit Faults".
[SC'20] "BATCH: Machine Learning Inference Serving on Serverless Platforms with Adaptive Batching".
[DSN'20] "Mining Multivariate Discrete Event Sequences for Knowledge Discovery and Anomaly Detection".

Software: KPC ToolBox , MAMSolver Tool

Service to the Community/Professional Activities

Collaborators, Past and Present Students