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- Computing and Processing
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Mahboubeh Dadkhah
Affiliation
School of EECS, University of Ottawa, Ottawa, ON, Canada
Topic
Accuracy Of Model,Accuracy Of Regression Model,Average Root Mean Square,Average Square,Coverage Metrics,Deep Neural Network,Deep Neural Network Model,Generation Of Mutants,High Accuracy Results,ImageNet,Input Distribution,Methodological Assessment,Methodological Practices,Mutation Analysis,Prediction Accuracy,Prediction Model,Random Subset,Regression Analysis,Regression Tree,Root Mean Square Error,Safety-critical,Shape Of The Relationship,Test Adequacy,Test Subset,Traditional Software,Training Input,Training Program,Training Set,Training Subsets,Variational Autoencoder,
Biography
Mahboubeh Dadkhah received the Ph.D. degree in computer engineering from Ferdowsi University of Mashhad, in 2021, where she was awarded a scholarship as a distinguished student. During her doctoral studies, she focused on semantic web-enabled techniques for testing large-scale systems. Currently, she is a Postdoctoral Research Fellow with the School of EECS, University of Ottawa, working on testing deep neural networks. Her research interests include testing AI-based systems, automated software testing, and empirical software engineering.