From requirements elicitation to variability analysis using repertory grid: A cognitive approach. - Sangeeta Dey; Seok-Won Lee (RE, 2015)

REASSURE: Requirements elicitation for adaptive socio-technical systems using repertory grid. - Sangeeta Dey; Seok-Won Lee (Inf. Softw. Technol., 2017)

Ontology-Driven Security Requirements Recommendation for APT Attack. - Min-Ju Kim; Sangeeta Dey; Seok-Won Lee (RE Workshops, 2019)

Multilayered review of safety approaches for machine learning-based systems in the days of AI. - Sangeeta Dey; Seok-Won Lee (J. Syst. Softw., 2021)

Making Musical Time - Guerino Mazzola; Alex Lubet; Yan Pang; Jordon Goebel; Christopher Rochester; Sangeeta Dey (Springer, 2021)

Are We Training with The Right Data? Evaluating Collective Confidence in Training Data using Dempster Shafer Theory. - Sangeeta Dey; Seok-Won Lee (ICSE (NIER), 2022)

Evidence-driven Data Requirements Engineering and Data Uncertainty Assessment of Machine Learning-based Safety-critical Systems. - Sangeeta Dey (RE, 2022)

Evaluation of an artificial intelligence-based medical device for diagnosis of autism spectrum disorder. - Jonathan T. Megerian; Sangeeta Dey; Raun D. Melmed; Daniel L. Coury; Marc Lerner; Christopher J. Nicholls; Kristin Sohl; Rambod Rouhbakhsh; Anandhi Narasimhan; Jonathan Romain; Sailaja Golla; Safiullah Shareef; et al. (npj Digit. Medicine, 2022)

Functorial Semiotics for Creativity in Music and Mathematics - Guerino Mazzola; Sangeeta Dey; Zilu Chen; Yan Pang (Springer, 2022)

A Multi-layered Collaborative Framework for Evidence-driven Data Requirements Engineering for Machine Learning-based Safety-critical Systems. - Sangeeta Dey; Seok-Won Lee (SAC, 2023)