Personal profile

Biography

Adriana Sejfia currently serves as a Lecturer in Software Engineering at the School of Informatics, University of Edinburgh. She earned her Ph.D. in Computer Science from the University of Southern California before joining the university. Adriana's research focuses on software engineering, specifically aiming to empower developers with actionable insights for their security and privacy-related tasks using program analysis and machine learning techniques. Her contributions have been presented at conferences such as ICSE, FSE, and ICSA.

 

Throughout her Ph.D., Adriana received support from the Google Ph.D. Fellowship and an Annenberg Fellowship. She also gained valuable research experience through internships at Google and GitHub. Adriana is honored to have been recognized as an EECS Rising Star in 2023 and to have had the opportunity to participate as a Young Researcher at the Heidelberg Laureate Forum in 2022.

Qualifications

Ph.D. in Computer Science, University of Southern California, 2023

MSc in Software Engineering, Rochester Institute of Technology, 2018

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Collaborations and top research areas from the last five years

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  • Toward Improved Deep Learning-based Vulnerability Detection

    Sejfia, A., Shafiq, S., Das, S. & Medvidović, N., 6 Feb 2024, ICSE 2024 - Proceedings of the 46th IEEE/ACM International Conference on Software Engineering. IEEE Computer Society Press, p. 1-12 62. (Proceedings - International Conference on Software Engineering).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
    File
  • Practical Automated Detection of Malicious npm Packages

    Sejfia, A. & Schafer, M., 5 Jul 2022, Proceedings - 2022 ACM/IEEE 44th International Conference on Software Engineering, ICSE 2022. IEEE Computer Society Press, p. 1681-1692 12 p. (Proceedings - International Conference on Software Engineering; vol. 2022-May).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
  • Identifying casualty changes in software patches

    Sejfia, A., Zhao, Y. & Medvidović, N., 20 Aug 2021, ESEC/FSE 2021 - Proceedings of the 29th ACM Joint Meeting European Software Engineering Conference and Symposium on the Foundations of Software Engineering. Spinellis, D. (ed.). ACM, p. 304-315 12 p. (ESEC/FSE 2021 - Proceedings of the 29th ACM Joint Meeting European Software Engineering Conference and Symposium on the Foundations of Software Engineering).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
  • Assessing the Feasibility of Web-Request Prediction Models on Mobile Platforms

    Zhao, Y., Yin, S., Sejfia, A., Laser, M. S., Wang, H. & Medvidovic, N., 24 Jun 2021, Proceedings - 2021 IEEE/ACM 8th International Conference on Mobile Software Engineering and Systems, MobileSoft 2021. Institute of Electrical and Electronics Engineers Inc., p. 12-23 12 p. (Proceedings - 2021 IEEE/ACM 8th International Conference on Mobile Software Engineering and Systems, MobileSoft 2021).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution