Agrawal, A. and Qazi, K., 2023, May. Quality Assurance of SNOMED CT using Lexical Similarity and Sibling Relationships. In Proceedings of the 2023 7th International Conference on Medical and Health Informatics (pp. 91-97).
Qazi, K. and Agrawal, A., 2021, December. A Context-based Crowd Sourcing Tool for Quality Assurance of SNOMED CT. In 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE.
Qazi, K., 2020, July. Modeling Real-World Load Patterns for Benchmarking in Clouds and Clusters. In International Journal of Advanced Computer Science and Applications. Volume 11, No. 6, 2020 (pp. 1-11).
Agrawal, A. and Qazi, K., 2020, July. Detecting modeling inconsistencies in SNOMED CT using a machine learning technique. In Methods (Elsevier). Volume 179, 2020 (pp. 111-118).
Agrawal, A. and Qazi, K., 2019, November. A Machine Learning Approach for Quality Assurance of SNOMED CT. In 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (pp. 792-798). IEEE.
Qazi, K., 2019, October. Vertelas - Automated User-Controlled Vertical Elasticity in Existing Commercial Clouds. In 2019 IEEE Fourth International Conference on Computing Communication and Security (ICCCS). IEEE. (Runner-up Best Paper Award).
Qazi, K. and Romero, S., 2019, October. Remote Memory Swapping for Virtual Machines in Commercial Infrastructure-as-a-Service. In 2019 IEEE Fourth International Conference on Computing Communication and Security (ICCCS). IEEE.
Qazi, K. and Aizenberg, I., 2018, August. Cloud Datacenter Workload Prediction Using Complex-Valued Neural Networks. In 2018 IEEE Second International Conference on Data Stream Mining & Processing (DSMP) (pp. 315-321). IEEE.
Qazi, K. and Aizenberg, I., 2018, July. Towards quantum computing algorithms for datacenter workload predictions. In 2018 IEEE 11th International Conference on Cloud Computing (CLOUD) (pp. 900-903). IEEE.
Qazi, K., Li, Y. and Sohn, A., 2014, August. Harnessing Memory Page Distribution for Network-Efficient Live Migration. In 2014 IEEE Intl Conf on High Performance Computing and Communications (HPCC) (pp. 264-267). IEEE.
Qazi, K., Li, Y. and Sohn, A., 2014, June. Workload prediction of virtual machines for harnessing data center resources. In 2014 IEEE 7th International Conference on Cloud Computing (pp. 522-529). IEEE.
Qazi, K., Li, Y. and Sohn, A., 2013, October. PoWER: prediction of workload for energy efficient relocation of virtual machines. In Proceedings of the 4th annual Symposium on Cloud Computing (p. 31). ACM.