| 2016 | ICS | High Performance Design for HDFS with Byte-Addressability of NVM and RDMA. | Nusrat Sharmin Islam, Md. Wasi-ur-Rahman, Xiaoyi Lu, Dhabaleswar K. Panda |
| 2016 | SC | Can Non-volatile Memory Benefit MapReduce Applications on HPC Clusters? | Md. Wasi-ur-Rahman, Nusrat Sharmin Islam, Xiaoyi Lu, Dhabaleswar K. Panda |
| 2016 | SBAC-PAD | MR-Advisor: A Comprehensive Tuning Tool for Advising HPC Users to Accelerate MapReduce Applications on Supercomputers. | Md. Wasi-ur-Rahman, Nusrat Sharmin Islam, Xiaoyi Lu, Dipti Shankar, Dhabaleswar K. Panda |
| 2015 | CCGRID | Triple-H: A Hybrid Approach to Accelerate HDFS on HPC Clusters with Heterogeneous Storage Architecture. | Nusrat Sharmin Islam, Xiaoyi Lu, Md. Wasi-ur-Rahman, Dipti Shankar, Dhabaleswar K. Panda |
| 2015 | ICPP | Accelerating I/O Performance of Big Data Analytics on HPC Clusters through RDMA-Based Key-Value Store. | Nusrat Sharmin Islam, Dipti Shankar, Xiaoyi Lu, Md. Wasi-ur-Rahman, Dhabaleswar K. Panda |
| 2014 | EuroPar | MapReduce over Lustre: Can RDMA-Based Approach Benefit? | Md. Wasi-ur-Rahman, Xiaoyi Lu, Nusrat Sharmin Islam, Raghunath Rajachandrasekar, Dhabaleswar K. Panda |
| 2014 | ICPP | Performance Modeling for RDMA-Enhanced Hadoop MapReduce. | Md. Wasi-ur-Rahman, Xiaoyi Lu, Nusrat Sharmin Islam, Dhabaleswar K. Panda |
| 2014 | ICS | HOMR: a hybrid approach to exploit maximum overlapping in MapReduce over high performance interconnects. | Md. Wasi-ur-Rahman, Xiaoyi Lu, Nusrat Sharmin Islam, Dhabaleswar K. Panda |