Yesterday Prof. Jeremy Bradbury along with Mosarrat Rumman and Bridget Green visited with Prof. Manar Alalfi and members of the Creative Research in Security and Software Engineering Technology (CRESSET) Lab at Toronto Metropolitan University to discuss a new research collaboration in software and security. During the visit Prof. Bradbury also delivered a Computer Science SeminarContinue reading “SEER Lab Director Speaks at Toronto Metropolitan University”
Category Archives: Large Language Models (LLMs)
SEER Lab Director Speaks at the University of St. Andrews
Prof. Jeremy Bradbury gave a University of St Andrews School of Computer Science Seminar Series this morning on “Democratizing AI in Software Development: From Few-Shot Testing to Trustworthy Benchmarks and Accessible AI Tools.” His talk focused on three key challenges to broader AI adoption in software development and how recent SEER Lab work is addressingContinue reading “SEER Lab Director Speaks at the University of St. Andrews”
SEER Lab Students Present at 2026 MAIRI Symposium
Congratulations to Mosarrat Rumman, Bridget Green and Daniel Hinbest on presenting posters at today’s Mindful AI Research Institute (MAIRI) Symposium 2026.
SEER Lab at the Ontario Tech AI Forum
Prof. Jeremy Bradbury attended today’s OntarioTech AI Forum. The goal of the forum was to bring “…the foremost leaders of AI, Energy and Education together to explore how we can integrate this technology with purpose—strengthening communities, increasing productivity and Gross Domestic Product (GDP), while empowering people and applying Canada’s values to shape a future whereContinue reading “SEER Lab at the Ontario Tech AI Forum”
Bridget Green Presents Her Research at Industry Event
Congratulations to MSc student Bridget Green on presenting her research on block-based programming for LLMs at yesterday’s Ontario Tech Women for STEM Industry Connect event!
New Transformative Adversaries Project Kicks Off
Our new collaborative project — “Transformative Adversaries: Leveraging Generative Pretrained Transformers for the Development of Next-Generation Metamorphic Malware Engines” has official kicked off with a meeting of Prof. Jeremy Bradbury, Prof. Pooria Madani (PI) and Prof. Khalil El-Khatib. This research is funded by the National Cybersecurity Consortium (NCC)’s Cyber Security Innovation Network (CSIN) program atContinue reading “New Transformative Adversaries Project Kicks Off”
SEER Lab MSc Student Wins Best Poster Award
SEER Lab’s Bridget Green won a Best Poster Award at the Consortium for Software Engineering Research (CSER) 2025 Fall Meeting! Bridget’s poster was titled “LLBlocks: A Blocked-Based Programming Language for LLM Education” and was co-authored with her supervisor Dr. Jeremy Bradbury.
SEER Lab at CSER 2025 Fall Meeting!
SEER Lab members Dr. Jeremy Bradbury. Bisha Fatima, Bridget Green and Daniel Hinbest attended the Consortium for Software Engineering Research (CSER) 2025 Fall Meeting 🇨🇦 yesterday. Both Bridget and Daniel presented posters on their MSc thesis research and Bridget won a Best Poster Award for her poster titled “LLBlocks: A Block-Based Programming Language for LLMContinue reading “SEER Lab at CSER 2025 Fall Meeting!”
Riddhi More Successfully Defends MSc Thesis
Congratulations to SEER Lab’s Riddhi More who successfully defended her MSc thesis today. Riddhi’s thesis is titled “Addressing Data Challenges in LLM-Enhanced Software Engineering” and was supervised by Dr. Jeremy Bradbury.
Bug Severity Classification Research Published at COMPSAC-SETA 2025
Today at the IEEE COMPSAC Symposium on Software Engineering Technologies & Applications (COMPSAC-SETA 2025) Mosarrat Rumman presented “A Contrastive Learning Approach to Bug Severity Classification with Large Language Model Embeddings” (co-authors Anushka Zaman, Emon Roy, Jeremy Bradbury). This research shows that contrastive fine-tuning for LLMs can improve semantic separation and boost generalization on imbalanced, diverseContinue reading “Bug Severity Classification Research Published at COMPSAC-SETA 2025”