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Soremekun Ezekiel

Assistant Professor
WEBSITE
RESEARCH AREAS
Artificial and Augmented Intelligence
Secure Computing
Software Design

Biography

My research primarily focuses on software engineering (SE), especially software validation. This includes SE research concerns such as automated debugging, software testing, program analysis, and software security. My secondary interest is artificial intelligence (AI), especially the analysis and testing of AI/ML systems. I am interested in studying both functional properties (e.g., correctness) and non-functional properties (e.g., security, robustness, and fairness) of software systems, including AI-driven systems (e.g., automated classifiers, LLMs, NLP and CV systems).

Education and Work Experience
  • 2024 – Present, Assistant Professor, SUTD, Singapore
  • 2023 – 2024, Lecturer (Asst. Prof.), Royal Holloway, University of London (RHUL), UK
  • 2020 – 2023, Research Scientist (Post-doc and PI), SnT, University of Luxembourg (UL), Luxembourg
  • 2016 – 2021, PhD Student, Saarland University/CISPA – Helmholtz Center for Information Security, Germany
  • 2013 – 2016, Graduate/Research Student, Saarland University, Germany
Professional Activities
  • Distinguished Reviewers Board: ACM Transactions on Software Engineering and Methodology (TOSEM): https://dl.acm.org/journal/tosem/distinguished-reviewers-board
  • Journal Review: TSE (2021, 2022, 2023, 2024), TOSEM (2021, 2022, 2023, 2024), JSS (2023, 2024), EMSE (2023, 2024), COSE (2024), CSUR (2024), STVR (2023, 2024)
  • PC member: ICSE 2025, ISSTA 2025, ICST 2025, SANER 2025, ASE 2024, ISSTA 2024, ICST 2024, SANER 2024
  • Organizer and PC Chair: ISSTA 2025 Tool Demo, ACNS SiMLA 2024, ACNS SiMLA 2023
  • Publicity Chair: ACNS SiMLA 2022
Teaching
  • SUTD: 2025 Spring, 50.021 Artificial Intelligence (with Prof. Lim Kwan Hui)
  • RHUL: 2024/25 Term 1, CS2800 Software Engineering (with Dr. DongGyun Han)
  • RHUL: 2023/24 Term 2, CS2810 Team Project (with Dr. Argyrios Deligkas and Dr. Francisco Ferreira Ruiz)
  • UL: WS 2022/23, Software Engineering for Machine Learning (SE4ML)
  • UL: WS 2022/23 & WS 2021/22, Machine Learning (with Prof. Yves Le Traon)
  • UL: SS 2021, Software Testing (with Prof. Yves Le Traon)
  • UL: WS 2021/22 & WS 2020/21, Software Testing (with Prof. Mike Papadakis)
Awards
  • Nominated for the Ernst Denert Software Engineering Award (2021) for the Best Ph.D. dissertation in Software Engineering in Germany.
  • ACM Distinguished Paper Award, International Symposium on Software Testing and Analysis. 2020.
  • Magna Cum Laude, Ph.D. Graduation Honors, Saarland University, Germany (2021)
  • Graduate Studies Scholarship recipient, Saarland University, Germany (2013 – 2015)
Selected Publications
  • “Where is the bug and how is it fixed? an experiment with practitioners.” Böhme, Marcel, Ezekiel O. Soremekun, Sudipta Chattopadhyay, Emamurho Ugherughe, and Andreas Zeller. In Proceedings of the 2017 11th Joint Meeting on Foundations of Software Engineering, pp. 117-128. 2017.
  • “Inputs from Hell: Learning Input Distributions for Grammar-Based Test Generation.” Soremekun, Ezekiel, Esteban Pavese, Nikolas Havrikov, Lars Grunske, and Andreas Zeller. IEEE Transactions on Software Engineering (2020)
  • “Locating faults with program slicing: an empirical analysis.” Soremekun, Ezekiel, Lukas Kirschner, Marcel Böhme, and Andreas Zeller. Empirical Software Engineering 26, no. 3 (2021): 1-45.
  • “Evaluating the Impact of Experimental Assumptions in Automated Fault Localization.” Soremekun, Ezekiel, Lukas Kirschner, Marcel Böhme, and Mike Papadakis. 2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE), 2023.
  • “Towards Backdoor Attacks and Defense in Robust Machine Learning Models.” Soremekun, Ezekiel*, Sakshi Udeshi*, and Sudipta Chattopadhyay. Computers & Security, Elsevier, 2023. * equal contribution.
  • “Astraea: Grammar-based fairness testing.” Soremekun, Ezekiel*, Sakshi Udeshi*, and Sudipta Chattopadhyay. IEEE Transactions on Software Engineering (2022). * equal contribution.
  • “Knowledge-based Consistency Testing of Large Language Models.” Rajan, Sai Sathiesh, Ezekiel Soremekun, Sudipta Chattopadhyay. Findings of the Association for Computational Linguistics: EMNLP 2024.
  • “Distribution-aware Fairness Test Generation.” Rajan, Sai Sathiesh, Ezekiel Soremekun, Yves Le Traon, Sudipta Chattopadhyay. Journal of Systems and Software, Elsevier, 2024.