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Sitharama Iyengar

Sitharama Iyengar Mail
Florida International University, United States

Director, Distinguished Ryder Professor

School of Computing and Information Sciences

 

Scopus profile: link

 

Selected Publications:

1. Tasnim, S., Caldas, J., Pissinou, N., Iyengar, S. S., Ding, Z. (2018). Semantic-Aware Clustering-based Approach of Trajectory Data Stream Mining. 2018 International Conference on Computing, Networking and Communications (ICNC). doi: https://doi.org/10.1109/iccnc.2018.8390371 

2. Pattar, S., Buyya, R., Venugopal, K. R., Iyengar, S. S., Patnaik, L. M. (2018). Searching for the IoT Resources: Fundamentals, Requirements, Comprehensive Review and Future Directions. IEEE Communications Surveys & Tutorials, 1–1. doi: https://doi.org/10.1109/comst.2018.2825231 

3. Raghavendra, S., Girish, S., Geeta, C. M., Buyya, R., Venugopal K. R., Iyengar, S. S., Patnaik, L. M. (2018). Split keyword fuzzy and synonym search over encrypted cloud data. Multimedia Tools and Applications, 77 (8), 10135–10156. doi: https://doi.org/10.1007/s11042-017-5055-5 

4. Kamhoua, G. A., Pissinou, N., Iyengar, S. S., Beltran, J., Miller, J., Kamhoua, C. A., Njilla, L. L. (2018). Approach to detect non-adversarial overlapping collusion in crowdsourcing. 2017 IEEE 36th International Performance Computing and Communications Conference (IPCCC). doi: https://doi.org/10.1109/pccc.2017.8280462 

5. Venkatesh, Sengar, C. S., Venugopal, K. R., Iyengar, S. S., Patnaik, L. M. (2018). RRDVCR: Real-Time Reliable Data Delivery Based on Virtual Coordinating Routing for Wireless Sensor Networks. Journal of Computer Science, 14 (1), 37–52. doi: https://doi.org/10.3844/jcssp.2018.37.52 

6. Wang, Q., Li, T., Iyengar, S. S., Shwartz, L., Grabarnik, G. Y. (2018). Online IT Ticket Automation Recommendation Using Hierarchical Multi-armed Bandit Algorithms. Proceedings of the 2018 SIAM International Conference on Data Mining, 657–665. doi: https://doi.org/10.1137/1.9781611975321.74 

7. Pouyanfar, S., Yang, Y., Chen, S.-C., Shyu, M.-L., Iyengar, S. S. (2018). Multimedia Big Data Analytics. ACM Computing Surveys, 51 (1), 1–34. doi: https://doi.org/10.1145/3150226