| Real-time high performance anomaly detection over data streams: Grand challenge D Jankov, S Sikdar, R Mukherjee, K Teymourian, C Jermaine Proceedings of the 11th ACM international conference on distributed and …, 2017 | 32 | 2017 |
| PlinyCompute: A platform for high-performance, distributed, data-intensive tool development J Zou, RM Barnett, T Lorido-Botran, S Luo, C Monroy, S Sikdar, ... Proceedings of the 2018 International Conference on Management of Data, 1189 …, 2018 | 22 | 2018 |
| Monsoon: Multi-step optimization and execution of queries with partially obscured predicates S Sikdar, C Jermaine Proceedings of the 2020 ACM SIGMOD International Conference on Management of …, 2020 | 10 | 2020 |
| An experimental comparison of complex object implementations for big data systems S Sikdar, K Teymourian, C Jermaine Proceedings of the 2017 Symposium on Cloud Computing, 432-444, 2017 | 9 | 2017 |
| Responsive plan stability S Hwang, S Sikdar, L Yan US Patent 11,314,740, 2022 | 2 | 2022 |
| Dynamic query execution using estimated execution time S Hwang, S Sikdar, L Yan US Patent 11,544,263, 2023 | 1 | 2023 |
| Method and apparatus for a memory efficient approach for decoding progressive joint photographic experts group (JPEG) images S Bose, VK Sahu, S Sikdar, R Gupta US Patent 9,154,800, 2015 | 1 | 2015 |
| Estimated execution time for query execution S Hwang, S Sikdar, L Yan US Patent 11,687,531, 2023 | | 2023 |
| Applying Machine Learning to Query Optimization S Sikdar | | 2021 |
Chris JermaineAssociate Professor of Computer Science, Rice UniversityVerified email at cs.rice.edu
