Ph.D. Computer Science, Louisiana State University
Current Research Interests:
Parallel and Distributed Computing, High Performance Networking, Remote Visualization and bioinformatics.
Dr. Zhu's research interests include the high performance computing, distributed system and computational biology. She proposes a remote computational steering system that employs analytical models to estimate the cost of computing and communication components and optimizes the overall system performance in distributed environments with heterogeneous resources. The computing pipeline configuration problems are formulated into different classes according to system constraints and are proved to be NP-complete. She presents several heuristic approaches to maximize the reliability and minimize the end-to-end delay. The superior performance of the proposed solution is demonstrated with extensive simulation results in comparison with existing algorithms and is further evidenced by experimental results collected on a prototype implementation deployed over the Internet. On distributed sensor network topic, she propose a binary decision fusion rule that reaches a global decision on the presence of a target by integrating local decisions made by multiple sensors. Without requiring a priori probability of target presence, the fusion threshold bounds derived using Chebyshev's inequality ensure a higher hit rate and lower false alarm rate compared to the weighted averages of individual sensors. She also conducts research on various topics in computational biology including microarray analysis, gene network, phylogenetic tree and probe design etc. Her research works are funded by Department of Energy, Oak Ridge National Laboratory, National Science Foundation and Illinois State Board of Education etc.
- M. Zhu, Q. Wu, N.S.V. Rao, and S. S. Iyengar, Optimal Pipeline Decomposition and Adaptive Network Mapping to Support Distributed Remote Visualization: Journal of Parallel and Distributed Computing (Elsevier JPDC), pp. 947~956, Vol. 67(8), 2007
- Q. Wu, M. Zhu, Y. Gu, N.S.V. Rao. System Design and Algorithmic Development for Computational Steering in Distributed Environments, IEEE Transactions on Parallel and Distributed Systems. pp. 438~451, Vol. 21, Issue 4, 2010
- M. Zhu, S. Ding, Q. Wu, R. R. Brooks, N. S.V. Rao, and S. S. Iyengar. Fusion of Threshold Rules for Target Detection in Wireless Sensor Networks, ACM Transactions on Sensor Networks, pp. 18~23, Vol. 6, No. 2, Article 18, 2010