Asma Shakil

Asma Shakil is a researcher in computer science with a focus on software engineering, biometrics, and education technology. Her work spans empirical studies on code readability, pedagogical strategies for capstone courses, and biometric signature verification systems. She collaborates with scholars across institutions, contributing to conferences like ITiCSE, ACE, and CHI.

• 2025: Co-authored a paper on team-based capstone projects.
• 2024: Authored multiple studies on student engagement and capstone course design.
• 2019: Explored gaze-based code navigation in CHI proceedings.
• 2008-2010: Pioneered offline signature verification research with Hidden Markov Models.

Research Interests: Asma's work bridges software engineering practices, biometric authentication, and educational innovation. Her recent papers emphasize scalable teaching methods and team-based learning in computing education, while her earlier contributions focus on statistical modeling for signature verification.

Publication Trends: Her research has evolved from biometrics to education technology, with a recurring emphasis on empirical validation. Key subfields include functional decomposition, code navigation, and pedagogical interventions for student engagement.

Collaborations: Regular co-authors include Paul Denny, Sara Hooshangi, and Ewan D. Tempero, indicating sustained partnerships in education technology research.