14 citations · 16 across the 5 of their papers we have counts for
5 papers
Open Science, Closed Models: How Funding Shapes AI in Science
Ana Trišović, Janakan Sivaloganathan
How funding shapes AI engagement in science is poorly understood despite its structural importance. We analyze 104,226 papers (2018-2025), linking funding acknowledgments to how ea…
Automating Detection and Root-Cause Analysis of Flaky Tests in Quantum Software
Janakan Sivaloganathan, Ainaz Jamshidi, Andriy Miranskyy +1
Like classical software, quantum software systems rely on automated testing. However, their inherently probabilistic outputs make them susceptible to quantum flakiness -- tests tha…
Science Is Falling Behind the Frontier: Foundation Model Adoption Across Half a Million Papers
Ana Trišović, Alex Fogelson, Janakan Sivaloganathan +1
We present the first large-scale analysis of AI foundation model usage in science -- not just citations or keywords. We find that adoption has grown rapidly, at nearly-exponential…
Anomaly Detection in Large-Scale Cloud Systems: An Industry Case and Dataset
Mohammad Saiful Islam, Mohamed Sami Rakha, William Pourmajidi +3
As Large-Scale Cloud Systems (LCS) become increasingly complex, effective anomaly detection is critical for ensuring system reliability and performance. However, there is a shortag…
Automating Quantum Software Maintenance: Flakiness Detection and Root Cause Analysis
Janakan Sivaloganathan, Ainaz Jamshidi, Andriy Miranskyy +1
Flaky tests, which pass or fail inconsistently without code changes, are a major challenge in software engineering in general and in quantum software engineering in particular due…