MSc student Riddhi More presented the latest lab research paper, “Assessing Data Augmentation-Induced Bias in Training and Testing of Machine Learning Models,” (co-authored with Prof. Jeremy Bradbury at the 1st International Workshop on Fairness in Software Systems (FAIRNESS 2025). Data augmentation has become a standard practice in software engineering to address limited or imbalanced dataContinue reading “Data Augmentation Bias Research Published at FAIRNESS 2025”