16 citations · 25 across the 10 of their papers we have counts for
12 papers
Image Augmentation as Test Generation for Deep Learning-Based Image Retrieval Systems
Yehan De Silva, Anirudh Sridhar, Armin Lotfy +6
Ensuring the reliability of deep learning-based image retrieval systems is a software engineering challenge. This paper presents a dual contribution: (1) a literature review of aug…
Runtime Compliance Verification for AI Agents
Nafiseh Kahani, Masoud Barati, Diana Addae
AI agents now handle personal data through tool use, function calls, and multi turn dialogue, which can create obligations under the General Data Protection Regulation (GDPR). Curr…
Teaching Machine Learning to Software Engineers
Nafiseh Kahani, Jason Jaskolka
Machine learning (ML) and Artificial Intelligence (AI) components are increasingly embedded in software products, yet undergraduate software engineering (SE) curricula rarely provi…
Testing Agentic Workflows with Structural Coverage Criteria
Nafiseh Kahani, Mojtaba Bagherzadeh
Multi-agent systems increasingly expose explicit workflow structure: agents, tools, tool-access rules, restrictions, and delegation paths. Existing evaluations rely largely on end-…
Prompt Optimization for LLM Code Generation via Reinforcement Learning
Ali Mohammadi Esfahani, Nafiseh Kahani, Samuel A. Ajila
Large Language Models (LLMs) can generate code from natural language, but their performance is highly sensitive to prompt formulation. We propose a reinforcement-learning-based fra…
A Privacy by Design Framework for Large Language Model-Based Applications for Children
Diana Addae, Diana Rogachova, Nafiseh Kahani +3
Children are increasingly using technologies powered by Artificial Intelligence (AI). However, there are growing concerns about privacy risks, particularly for children. Although e…