Faculty Profile for Dr. Shibbir Ahmed
Dr. Shibbir Ahmed
Assistant Professor — Computer Science
CMAL 311 F
phone: (512) 245-3409
Biography Section
Biography and Education
Shibbir Ahmed is an Assistant Professor in the Department of Computer Science at Texas State University. He received his Ph.D in 2024 from Iowa State University under the supervision of Professor Dr. Hridesh Rajan.His research spans the intersection of Software Engineering, Artificial Intelligence, and Data Science. He is particularly working on Software Engineering for trustworthy Machine Learning. Recently, he has worked on ensuring the reliability of Deep Learning software by specifying and checking contracts on deep learning APIs. He proposed design by contracts for deep learning APIs. Recently, he has developed an innovative method for inferring preconditions from deep learning models and utilized them to determine the trustworthiness of its prediction during deployment. He has collaborated on various research projects, resulting in publications at peer-reviewed conferences and journals, including ICSE and ESEC/FSE, EMSE, and TDS, with support from the US National Science Foundation. Furthermore, he has served as an external and sub-reviewer for the conferences, MSR, ASE, ICSE, and journals TSE, TOSEM, etc.
Teaching Interests
Software Engineering, Software Engineering for Artificial Intelligence, Software QualityResearch Interests
Software Engineering, Artificial Intelligence, and Data Science, Software Engineering for trustworthy Artificial IntelligenceSelected Scholarly/Creative Work
- Rajan, H., Imtiaz, S. M., & Ahmed, S. (2024). Engineering Deep Learning Models Through Decomposition, Modularization, and Interface Specifications. In Proceedings of the 2030 Software Engineering (SE’2030) colocated with The ACM International Conference on the Foundations of Software Engineering (FSE 2024) (p. 4). ACM. Retrieved from https://conf.researchr.org/home/2030-se
- Ahmed, S., Gao, H., & Rajan, H. (2024). Inferring Data Preconditions from Deep Learning Models for Trustworthy Prediction in Deployment. In Proceedings of the IEEE/ACM 46th International Conference on Software Engineering (pp. 1–13). New York, NY, USA: ACM. https://doi.org/10.1145/3597503.3623333
- Ahmed, S., Imtiaz, S. M., Khairunnesa, S. S., Cruz, B. D., & Rajan, H. (2023). Design by Contract for Deep Learning APIs. In Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering. San Francisco, CA, USA: Association for Computing Machinery (ACM). https://doi.org/10.1145/3611643.3616247
- Khairunnesa, S. S., Ahmed, S., Imtiaz, S. M., Rajan, H., & Leavens, G. T. (2023). What kinds of contracts do ML APIs need? Empirical Software Engineering, 28(6). https://doi.org/10.1007/s10664-023-10320-z
- Ahmed, S., Islam, M. J., & Rajan, H. (2022). Semantics and Anomaly Preserving Sampling Strategy for Large-Scale Time Series Data. ACM/IMS Transactions on Data Science, 2(4), 1–25. https://doi.org/10.1145/3511918
Selected Awards
- Award / Honor Recipient: Publication Award for publishing research paper at FSE'2023 and ICSE’2024, Iowa State University. 2023 - 2024
- Award / Honor Recipient: Research Excellence Award recognizing outstanding research accomplishments, Iowa State University. 2019 - 2024
- Award / Honor Recipient: ACM SIGPLAN Travel Grant for attending PLDI’2023, SIGPLAN Professional Activities Committee. 2023
- Award / Honor Recipient: Awarded 2nd place at poster presentation, Department of Computer Science, Iowa State University. 2023
- Award / Honor Recipient: NSF Travel Grant to attend and present poster at Midwest PL Summit, University of Michigan, Ann Arbor. 2023
Selected Service Activities
Reviewer / Referee
ACM Transactions on Software Engineering and Methodology (TOSEM)
2024-Present
Reviewer / Referee
IEEE Transactions on Software Engineering (TSE)
2024-Present
Member
Comprehensive Exam Committee
August 2024-2025
Reviewer / Referee
International Conference on Software Engineering (ICSE’2024) Technical Track Sub-Reviewer
2023-2024
Program Committee
39th IEEE/ACM International Conference on Automated Software Engineering (ASE 2024)
June 2024-November 2024