Scholarly and Creative Works
2024
- 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
2023
- 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
2022
- 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
2021
- Ahmed, S. (2021). Towards Deep Learning Specification. In Proceedings of the ACM SIGPLAN conference on Systems, Programming, Languages, and Applications: Software for Humanity (SPLASH’2021), Doctoral Symposium. ACM. Retrieved from https://2021.splashcon.org/profile/shibbirahmed
2017
- Abdullah, D. Md., Zinnat, S. B., Tasmin, R., Ahmed, S., & Hasan, M. (2017). An automated advisor system to suggest response after analyzing user writings in social network. In 2017 International Conference on Research and Innovation in Information Systems (ICRIIS) (pp. 1–6). IEEE. https://doi.org/10.1109/icriis.2017.8002502
- Tabassum, A., Hasan, M., Ahmed, S., Tasmin, R., Abdullah, D. Md., & Musharrat, T. (2017). University ranking prediction system by analyzing influential global performance indicators. In 2017 9th International Conference on Knowledge and Smart Technology (KST) (pp. 126–131). IEEE. https://doi.org/10.1109/kst.2017.7886119
2016
- Ahmed, S., Hoque, A. S., Hasan, M., Tasmin, R., Abdullah, D. Md., & Tabassum, A. (2016). Discovering knowledge regarding academic profile of students pursuing graduate studies in world’s top universities. In 2016 International Workshop on Computational Intelligence (IWCI) (pp. 120–125). IEEE. https://doi.org/10.1109/iwci.2016.7860351
- Ahmed, S., Hasan, M., Hoq, Md. N., & Adnan, M. A. (2016). User interaction analysis to recommend suitable jobs in career-oriented social networking sites. In 2016 International Conference on Data and Software Engineering (ICoDSE) (pp. 1–6). IEEE. https://doi.org/10.1109/icodse.2016.7936143
- Hasan, M., Ahmed, S., Abdullah, D. Md., & Rahman, Md. S. (2016). Graduate school recommender system: Assisting admission seekers to apply for graduate studies in appropriate graduate schools. In 2016 5th International Conference on Informatics, Electronics and Vision (ICIEV) (pp. 502–507). IEEE. https://doi.org/10.1109/iciev.2016.7760053
2014
- Ahmed, S., Paul, R., & Hoque, A. S. (2014). Knowledge discovery from academic data using Association Rule Mining. In 2014 17th International Conference on Computer and Information Technology (ICCIT) (pp. 314–319). IEEE. https://doi.org/10.1109/iccitechn.2014.7073107
- Sadat, Md. N., Ahmed, S., & Mohiuddin, M. T. (2014). Mining the social web to analyze the impact of social media on socialization. In 2014 International Conference on Informatics, Electronics & Vision (ICIEV) (pp. 1–6). IEEE. https://doi.org/10.1109/iciev.2014.7135995
- Rabban, I. E., Abdullah, K., Ahmed, S., & Rahman, M. S. (2014). An easier approach to visible edge determination from moving viewpoint. In 2014 International Conference on Electrical Engineering and Information & Communication Technology (pp. 1–5). IEEE. https://doi.org/10.1109/iceeict.2014.6919150