Our Publications
Research our team has worked on, shaped for real production environments
These publications cover software engineering systems, developer collaboration, defect prediction, biometrics, and recognition quality. They matter because the same questions show up in real transformation work: how do you surface software risk before it ships? How do you evaluate AI systems at scale? How do you build recognition and automation that survives production constraints? The research keeps our thinking sharp on exactly the problems our clients are paying to solve.
Notable signal
SANER 2026 distinguished paper recognition
The publications span software engineering systems and applied biometrics, and they sharpen how we think about production risk, evaluation quality, and AI that has to survive operational reality.
Research signals
The archive below is grouped into software engineering systems and applied biometrics, and includes work across peer-reviewed conferences and journals, including CORE-ranked venues.
Software engineering systems
Developer collaboration, defect prediction, and engineering quality signals
Work in this group focuses on the structures behind engineering effectiveness: collaboration patterns, risk signals, and delivery quality.
SANER · 2026
Leveraging Commit-Size Context and Hyper Co-Change Graph Centralities for Defect Prediction
Connects co-change structure, commit context, and defect prediction to how delivery teams surface software risk earlier.
EASE · 2026
Multifaceted Hero Developers and Bug-Fixing Outcomes Across Severity
Studies how technical and social hero profiles relate to bug-fixing outcomes across severity levels in OSS projects.
EASE · 2025
Co-Change Graph Entropy: A New Process Metric for Defect Prediction
Introduces a process signal for defect prediction using change-graph structure rather than only code or churn summaries.
JUCS · 2021
Leveraging multifaceted proximity measures among developers in predicting future collaborations to improve the social capital of software projects
Extends the collaboration lens from historical activity to future collaboration prediction and software project social capital.
APSEC · 2019
Studying Multifaceted Collaboration of OSS Developers and its Impact on their Bug Fixing Performance
Early work on multifaceted developer collaboration, bug-fixing outcomes, and the social structures behind engineering effectiveness.
Applied AI/ML & Biometrics
Recognition quality, biometrics, and production-facing AI evaluation
Work in this group covers biometric quality assessment and applied AI/ML signals that matter when recognition systems need to be robust at scale.
ICVGIP · 2024
Enhancing Face Quality Assessment through Age and Expression Analysis
Explores face quality assessment under age and expression variation, relevant to robust biometric systems at scale.
ICVGIP · 2023
Advancing Fingerprint Recognition Quality Assessment: Introducing the FRBQ Metric for Enhanced Fingerprint Recognition
Introduces FRBQ for fingerprint quality assessment, strengthening biometric evaluation and recognition reliability.
IJCB · 2022
Facial de-morphing: Extracting component faces from a single morph
Advances reference-free face de-morphing, relevant to biometric security, morph attack resilience, and production-grade face verification systems.
Research to production
Want research depth applied to a real operating problem?
Start with the system context, delivery pressure, and evaluation bar you need to meet. We can decide quickly whether the work is a fit.