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03/17/10

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    • Journal Papers
  1. L. Zuo, and M. Zhu, Concurrent Bandwidth Reservation Strategies for Multiple Big Data Transfer Requests in High-Performance Networks, IEEE Transactions on Network and Service Management (under the second round of review)

  2. F. Cao and M. Zhu, Decentralized Hybrid Workflow Scheduling Algorithm for Minimum End-to-end Delay in Heterogeneous Computing Environment, To appear in International Journal of High Performance Computing and Networking, 2014

  3. Mustafa Khaleel and M. Zhu, Energy-efficient Task Scheduling and Consolidation Algorithm for Workflow Jobs in Cloud, To appear in International Journal of Computational Science and Engineering, 2014

  4. Y. Sheng, W. Welling and M. Zhu, A GPU-based Gibbs sampler for a unidimensional IRT model, International Scholarly Research Notices in Computational Mathematics, vol. 2014, Article ID 368149, 11 pages. doi:10.1155/2014/368149, 2014.

  5. M. Zhu, F. Cao and C. Wu, High-through Scientific Workflow Scheduling for Cloud, To appear in Journal of Communication Special Issue on Big data and Cloud Computing, 2014

  6. M. Khaleel, M. Zhu, D. Che and W. Hou, A Cooperative Game Theory-based Approach for Energy-Aware Job Scheduling in Cloud. The special issue of the International Journal of Computers and Their Applications, Vol. 20, Issue 4, pp.221~235, 2013

  7. D. Ding, F. Cao, D. Che, M. Zhu, and Wen-Chi Hou. Budget Constrained Dataflow Scheduling for Minimized Completion Time on the Cloud. The special issue of the International Journal of Computers and Their Applications, Vol. 20, Issue 4, pp. 208~220, 2013

  8.  L. Zuo, M. Zhu and C. Wu, Fast and Efficient Bandwidth Reservation Algorithms for Dynamic Network Provisioning, Journal of Network and System Management Springer, Nov. DOI 10.1007/s10922-013-9294-0, Online SSN: 1573-7705, 2013

  9. J. Yuan, M. Zhu, K. Meksem, M. Geisler, P. Hart and D. A. Lightfoot, Transcript Abundance Responses of Resistance Pathways of Arabidopsis thaliana to Deoxynivalenol. Atlas Journal of Biology, Volume 2 (2): pp. 154–161. 2013

  10.  F. Cao and M. Zhu, Distributed Workflow Mapping Algorithm for Maximized Reliability under End-to-end Delay Constraint, Journal of Supercomputing, Springer, Volume 66, Issue 3, pp. 1462-1488, Dec. 2013

  11. F. Mumba and M. Zhu, Interactive Virtual Classroom System using Google App Engine. Journal of Computers in Mathematics and Science Teaching, Association for the Advancement of Computing in Education (AACE), Vol. 32(2), pp. 195-217. 2013

  12. Q. Wu, M. Zhu, Y. Gu, P. Brown, X. Lu, W. Lin and Y. Liu, A Distributed Workflow Management System with Case Study of Real-life Scientific Applications on Grids. Journal of Grid Computing, Springer, Volume 10, Issue 3, pp. 367-393, 2012

  13. M. Zhu, G. Wang, and T. Oyana. Parallel Spatiotemporal Autocorrelation and Visualization System for Large-scale Remotely Sensed Images. Journal of Supercomputing, Springer, Volume 59, Issue 1, pp. 83-103 2012

  14. J. Wang and M. Zhu. Parallel Multiple Sequences Alignment with Maximum Likelihood-based Tree Construction Inference. International Journal of Computational Biology and Drug Design, Volume 3, Issue 3, pp. 226-236. Jan 2011

  15. 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, Volume 6, Issue 2, Article 18, pp. 18-23, February 2010

  16. Q. Wu, M. Zhu, Y. Gu, and N.S.V. Rao. System Design and Algorithmic Development for Computational Steering in Distributed Environments, IEEE Transactions on Parallel and Distributed Systems, Volume 21, Issue 4, pp. 438-451, April 2010.

  17. X. Cao and M. Zhu. A parallel approach toward correlation measurement for gene pairs with time-lagging expression behaviors, International Journal of Computational Biology and Drug Design, Volume 2, Issue 3, pp. 274-283, 2009.

  18. M. Zhu and R. R. Brooks. Comparison of Petri Net and Finite State Machine Discrete Event Control of Distributed Surveillance Networks, International Journal of Distributed Sensor Networks Taylor & Francis, Volume 5, Issue 5, pp.480-501, 2009.

  19. Y. Gu, Q. Wu, M. Zhu, and N.S.V. Rao. Complexity Analysis of Pipeline Mapping Problems in Distributed Heterogeneous Networks, Special issue in International Journal of Distributed Sensor Networks, Volume 5, Issue 1, 2009.

  20. Y. Lin, Q. Wu, N. S.V. Rao, and M. Zhu. Advance Bandwidth Scheduling Algorithms in Dedicated Networks, in Special issue in International Journal of Distributed Sensor Networks, Volume 5, Issue 1, 2009.

  21. Q. Wu, J. Gao, Z. Chen, and M. Zhu. Pipelining Parallel Image Compositing and Delivery for Efficient Remote Visualization, Journal of Parallel and Distributed Computing (JPDC), Elsevier, Volume 69, Issue 3, pp. 230-238, 2009.

  22. Q. Wu, M. Zhu, and N.S.V. Rao. Integration of Sensing and Computing in an Intelligent Decision Support System for Homeland Security Defense Pervasive and Mobile Computing, Pervasive and Mobile Computing Journal, Volume 5, Issue 2, pp. 182-200, April 2009.

  23. Y. Yang, M. Zhu, L. Wu, and J. Zhou. Assessment of Data Processing to Improve Reliability of Microarray Experiments Using Genomic DNA Reference, BMC Genomics, 9(Suppl 2):S5 DOI:10.1186/1471-2164-9-S2-S5 2008.

  24. J. Yuan, M. Zhu, D. A. Lightfoot, M. J. Iqbal, and K. Meksem. In silico Comparison of Transcript Abundances During Arabidopsis thaliana and Glycine max Resistance to Fusarium virguliforme, BMC Genomics, 9(Suppl 2):S6 DOI:10.1186/1471-2164-9-S2-S6, 2008.

  25. M. Xu, M. Zhu, and L. Zhang. A Stable Iterative Method for Refining Discriminative Gene Clusters, BMC Genomics, 9(Suppl 2):S18 DOI:10.1186/1471-2164-9-S2-S18, 2008.

  26. M. Zhu and Q. Wu. A Parallel Computing Approach to Decipher Transcription Network for Large-scale Microarray Datasets, BMC Genomics, 9 (Suppl 1):S5 DOI:10.1186/1471-2164-9-S1-S5, 2008

  27. Q. Wu, J. Gao, M. Zhu, N.S.V. Rao, J. Huang, and S.S. Iyengar. Optimal Resource Utilization for Distributed Remote Visualization, IEEE Transactions on Computers, Volume 57, Issue 1, pp. 55-68, January 2008.

  28. 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 (JPDC), Springer, Volume 67, Issue 8, pp. 947-956. 2007.

  29. R. Meyer, J. Yuan, J. Afzal, J. Iqbal, M Zhu, G. Garvey, and D. A. Lightfoot. Identification of Gsr1: A locus inferred to regulate gene expression in response to exogenous glutamine, Euphytica, Volume 151, Issue 3, pp. 291-302, October 2006.

  30. N.S.V. Rao, S. M Carter, Q. Wu, W. R Wing, M. Zhu, A. Mezzacappa, M. Veeraraghavan and J. M Blondin. Networking for large-scale science: infrastructure, provisioning, transport and application mapping, Journal of Physics: Conference Series, Volume 16, pp. 541-545, June 2005.

  31. X. Zheng, M. Veeraraghavan, N.S.V. Rao, Q. Wu, and M. Zhu. CHEETAH: Circuitswitched High-speed End-to-End Transport Architecture testbed, IEEE Communications Magazine, Volume 43, Issue 8, pp. 11-17, August 2005.

  32. R.R. Brooks, M. Zhu, J. Lamb, and S.S. Iyengar. Aspect-oriented design of sensor networks, Journal of Parallel and Distributed Computing (JPDC), Elsevier, Volume 64, Issue 7, pp. 853-865, July 2004.

  33. Q. Wu, S.S. Iyengar, and M. Zhu, Web image retrieval using self-organizing feature map, Journal of the American Society for Information Science and Technology, Volume 52, Issue 10, pp. 868-875, August 2001.

    Book Chapters

  1. F. Cao and M. Zhu, Green Cloud Computing with Efficient Resource Allocation Approach, Green Services Engineering, Optimization, and Modeling in the Technological Age, Chapter 21, Published by IGI Global Research Handbook, 2014

  2. R. R. Brooks, M. Pirretti, J. Lamb, M. Zhu, and S. Sitharama Iyengar. Self-Configuration, Distributed Sensor Networks, Second Edition, Sensor Networking and Applications, Edited by S. Sitharama Iyengar and Richard R. Brooks, Chapter 27 pp. 577–620, Published by Chapman and Hall/CRC, 2012

  3. M. Zhu, S. S. Iyengar, J. Lamb, R. R. Brooks, and M. Pirretti, System Control Example DSN Control Hierarchy, Distributed Sensor Networks, Second Edition, Sensor Networking and Applications, Edited by S. Sitharama Iyengar and Richard R. Brooks, Chapter 32 pp. 713-746, Published by Chapman and Hall/CRC, 2012

  4. M. Zhu, R.R. Brooks, S. Ding, Q. Wu, N.S.V. Rao, and S.S. Iyengar. Chebyshev's Inequality-based Multi-Sensor Data Fusion in Self-organizing Sensor Networks, Frontiers in Distributed Sensor Networks Second Edition, Chapter 26, R. R. Brooks and S. S. Iyengar (editors), Chapman and Hall Inc, 2011.

  5. Q. Wu, M. Zhu, N. S.V. Rao, R. R. Brooks, S. S. Iyengar, and M. Meng. An integrated intelligent decision support system based on sensor and computer networks. System of Systems – Principles and Applications, Mo Jamshidi (editor), Taylor & Francis Group LLC, pp. 279-315, 2008.

  6. R.R. Brooks, M. Zhu, M. Piretti, C. Griffin and S.S. Iyengar, Emergent routing and resource discovery, Disruptive Security Technologies with Mobile Code and Peer-to-Peer Networks, Chapter 11, pp. 283-305, R.R. Brooks (editor), CRC Press 2005.

  7. Q. Wu, N.S.V. Rao, R.R. Brooks, S.S. Iyengar, and M. Zhu. On computational and networking problems in distributed sensor networks. Handbook of Sensor Networks: Compact Wireless and Wired Sensing Systems, M. Ilyas and I. Mahgoub (editors), CRC Press LLC, pp. 25.1-25.16, August 2004.

  8. M. Zhu, R.R. Brooks, M. Pirretti, and S.S. Iyengar. Physics and Chemistry, Frontiers in Distributed Sensor Networks, Chapter 7, S.S. Iyengar and Richard R. Brooks (editors), CRC Press Inc., September 2003.

  9. M. Zhu, J. Lamb, R.R. Brooks, M. Pirretti, and S.S. Iyengar. Example DSN control hierarchy, Frontiers in Distributed Sensor Networks, Chapter 8, S. S. Iyengar and R. R. Brooks (editors), CRC Press Inc., September 2003

    Conference Papers
  1. F. Cao, M. Zhu and Q. Wu. Energy-Efficient Resource Management for Scientific Workflows in Clouds, Proceedings of the IEEE 2014 8th International Symposium on Scientific Workflows and Big Data Science (SWF 2014) in conjunction with IEEE BigData, Alaska, June 27 to July 2, 2014

  2. F. Cao, D. Ding, D. Che, M. Zhu and W. Hou. Scheduling Data Processing Flows under Budget Constraint on the Cloud.  Proceedings of the ACM Research in Applied Computation Symposium (RACS) Montreal CA, pp. 69~74, ISBN: 978-1-4503-2348-2, 2013

  3. F. Cao and M. Zhu. Energy-aware Workflow Job Scheduling for Green Clouds, Proceedings of the IEEE International Conference on Green Computing and Communications (GreenCom2013), pp. 232 – 239, Beijing, China, August 2013

  4. L. Zuo, M. Khaleel, M. Zhu and C. Wu, On Fixed-Path Variable-Bandwidth Scheduling in High-performance Networks, Proceedings of the IEEE International Conference on Green Computing and Communications (GreenCom2013), pp. 23 – 30, Beijing, China, August 2013

  5. F. Yu, W. Hou, C. Luo, D. Che and M. Zhu. CS2: A New Database Synopsis for Query Estimation, ACM SIGMOD'13: International Conference on Management of Data Proceedings, pp. 469-480, ISBN: 978-1-4503-2037-5, New York, New York, USA, June 2013

  6. F. Cao, M. Zhu and D. Ding. Distributed Scientific Workflow Scheduling with Throughput or Budget Constraints in Grid Environments, Proceedings of the 17th workshop on job scheduling strategies for parallel processing (JSSPP) in conjunction with 27th IEEE International Parallel & Distributed Processing Symposium (IPDPS), Boston, USA, May 2013

  7. F. Cao and M. Zhu. Energy Efficient Workflow Job Scheduling for Green Cloud, The proceedings of PhD Forum of the 27th IEEE International Parallel & Distributed Processing Symposium (IPDPS), pp. 2218 – 2221, Boston, USA, May 2013

  8. L. Zuo and M. Zhu. Toward Flexible and Fast Routing Strategies for Dynamic Network Provisioning, The proceedings of PhD Forum of the 27th IEEE International Parallel & Distributed Processing Symposium (IPDPS), pp. 2222-2225, Boston, USA, May 2013

  9. P. Brown, M. Zhu, Q. Wu, D. Yun and J. Zurawski. A Workflow-based Network Advisor for Data Movement with End-to-end Performance Optimization. The Seventh Workshop on Workflows in Support of Large-Scale Science - WORKS12. The Proceeding of the ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis (SC12), Nov. Salt Lake City, UT, 2012

  10. P. Brown, M. Zhu, Q. Wu, D. Yun and J. Zurawski. Exploring the Optimal Strategy for Large-scale Data Movement in High-performance Networks. Poster paper at WORKS workshop, The Proceeding of the 31st IEEE International Performance Computing and Communications Conference (IPCCC). pp. 181-182Austin, TX, Dec. 2012

  11. M. Zhu, Q. Wu and Y. Zhao, A Cost-Effective Scheduling Algorithm for Scientific Workflows in Clouds, The Proceeding of the 31st IEEE International Performance Computing and Communications Conference (IPCCC). pp. 256~265Austin, TX, Dec. 2012 (Best Paper Award)

  12. M. Zhu and F. Mumba, An Interactive Learning and Assessment System for Simulation-based Science Education Using Cloud Computing Technology, Demo paper in the Proceeding of the 18th International Conference on Distributed Multimedia Systems (DMS). Miami Beach, FL August 9-11 2012

  13. P. Dharam, Q. Wu and M. Zhu, On Bandwidth Reservation for Optimal Resource Utilization in High-performance Networks, Proceedings of the 37th Annual IEEE Conference on Local Computer Networks(LCN), pp. 144 - 147 Clearwater, Florida, USA Oct. 2012

  14. D. Yun, Q. Wu, M. Zhu and P. Brown, Modeling and Optimizing Transport-Support Workflows in High-performance Networks, Proceedings of the 37th Annual IEEE Conference on Local Computer Networks (LCN), pp. 384 - 391Clearwater, Florida, USA Oct. 2012

  15. P. Brown, M. Zhu and D. Che, Leveraged Data Diffusion Technique for Optimized Data Management in Sky Computing Environments. 2nd Intl. Conf. on Advanced Computing and Communications (ACC-2012), pp. 79-84. Los Angeles, CA 2012

  16. D. Che, M. Zhu, J. Fairfield and M.  Khaleel. Putting “Credit Union” Cloud Computing Model into Practice. In the Proceedings of the ACM Research in Applied Computation Symposium (RACS), pp. 80-85, San Antonia, TX, Oct. 2012

  17. F. Mumba, M. Zhu, J. Ma and S. Ahmed. New Design and Implementation of a Virtual Classroom System Using Google App Engine, Proceedings of SITE 2012--Society for Information Technology & Teacher Education International Conference, pp. 698-705. Austin, Texas, USA; March 5-9, 2012

  18. P. Brown, M. Zhu, Q. Wu and X. Lu. Network-Aware Data Movement Advisor, Workshop of Network aware data management Proceeding of the ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis (SC11), Nov. 14th to 17th, Seattle, WA, 2011

  19. Q. Wu, M. Zhu, Y. Gu, X. Lu, P. Brown, M. Reuter, and S. Miller. A Distributed Workflow Management System with Case Study of Real-life Scientific Applications, Proceedings of the 30th IEEE International Performance Computing and Communications Conference (IPCCC 2011), November, 17th to 19th Orlanda, FL, 2011

  20. M. Zhu, F. Cao, and J. Mi. A Hybrid Mapping and Scheduling Algorithm for Distributed Workflow Applications in a Heterogeneous Computing Environment, Intelligent Distributed Computing V, Springer, SCI 382, vol. 1, pp. 117–127. Proceedings of The 5th International symposium on Intelligent Distributed Computing (IDC 2011) Delft, The Netherlands.  October 2011

  21. F. Cao and M. Zhu. A Fault-tolerant Workflow Mapping Algorithm under End-to-end Delay Constraint, Proceeding of the Symposium on Advances of High Performance Computing and Networking (AHPCN-2011)in conjunction with the 13th IEEE international conference on High Performance Computing and Communications (HPCC-2011), pp. 575-580  Banff, Canada, September 2-4, 2011.

  22. J. Ingram and M. Zhu. GPU Accelerated Microarray Data Analysis Using Random Matrix Theory, Proceeding of The IEEE 8th International Conference on Ubiquitous Intelligence and Computing (UIC-2011) Workshop on Embedded Multi-Core computing and Applications, pp. 839-844, Banff, Canada, September 2-4, 2011

  23. M. Tucker, F. Mumba, E. Miles and M Zhu, Elementary School Teachers’ Knowledge of Science Process Skills, Poster of the Mathematics and Science Partnership Program Regional Conference, San Francisco, CA, March 21-23, 2011

  24. F. Mumba, M. Zhu, and C.C. Cheng, An Interactive Simulation based Virtual Classroom System using Cloud Computing Technology, Proceedings of the SITE 2011--Society for Information Technology & Teacher Education International Conference, pp. 1~6, Nashville, Tennessee, USA; March 7-11, 2011

  25. F. Mumba, V. M. Chabalengula and M. Zhu, Science Teachers Familiarity of and Interest in Computer Simulations, Animations, Visualization, Modeling and Virtual reality, Proceedings of the SITE--Society for Information Technology & Teacher Education International Conference, Nashville, Tennessee, USA; March 7-11, 2011

  26. F. Mumba, V. M. Chabalengula and M. Zhu, Partnership in Advanced Science Achievement using Computational Science, Poster of Science, Technology, Engineering and Mathematics (STEM) in Education, Queensland University of Technology, Brisbane Australia, November 26-27, 2010, Australia

  27. Q. Wu, M. Zhu, X. Lu, P. Brown, Y. Lin, Y. Gu, F. Cao and M.A. Reuter. Automation and Management of Scientific Workflows in Distributed Network Environments. Proceedings of the 6th International Workshop on System Management Techniques, Processes, and Services, in conjunction with IPDPS, Atlanta, GA, April 19, 2010

  28. J. Yuan, M. Zhu, K. Meksem, P. Hart, and D. A. Lightfoot. Parallel comparative analyses of resistance pathways of Arabidopsis Thaliana and soybean (Glycine max) to fusarium Virguliforme and to deoxynivalenol of gibberella zeae. Proceedings of the world soybean research conference VIII, Beijing China, 2009.

  29. J. He, M. Zhu, and M. Wainer. Parallel sequence alignment using Graphics Processing Unit. Proceedings of International Conference on Bioinformatics & Computational Biology BIOCOMP'09, Volume 1, pp. 96-103, July Las Vegas, 2009.

  30. P. Brown, E. Fitzek, C. Li, M. Zhu, and M. Geisler. A new way to look at plant cis-regulatory elements, Joint Annual Meetings of the American Society of Plant Biologists and the Phycological Society of America, Hawaii Convention Center, Honolulu, Hawaii, July 2009.

  31. P. Brown, E. Fitzek, C. Li, M. Zhu, and M. Geisler. Global discovery and functional annotation of Arabidopsis cis-regulatory elements. The 19th International Conference on Arabidopsis Research, Bioinformatics, Modeling, and Systems Biology, Montreal, Canada, July 2008.

  32. J. Geisler-Lee, M. Zhu, and M. Geisler. Novel Gene Discovery in the Biosynthesis of Suberin, a Biopolymer. The 19th International Conference on Arabidopsis Research, Montreal, Canada, July 2008.

  33. M. Zhu and N. K. Yadav. A Distributed System for Parallel Simulations. Proceedings of IEEE Global Communications Conference (IEEE GLOBECOM 2008), pp. 1-5, December 1-3, New Orleans, LA, 2008.

  34. Y. Gu, Q. Wu, M. Zhu, and N.S.V. Rao. Complexity analysis of pipeline mapping in heterogeneous distributed networks. Proceedings of International Symposium on Computer and Sensor Network Systems, Zhengzhou, P.R. China, April 7-10, 2008 (ISCSNS08). Also published in International Journal of Distributed Sensor Networks, 2008.

  35. Y. Lin, Q. Wu, N.S.V. Rao, and M. Zhu. Advance bandwidth scheduling algorithms in dedicated networks. Proceedings of International Symposium on Computer and Sensor Network Systems, Zhengzhou, P.R. China, April 7-10, 2008 (ISCSNS08). Also published in International Journal of Distributed Sensor Networks, 2008.

  36. Q. Wu, Y. Gu, M. Zhu, and N.S.V. Rao. Optimizing network performance of computing pipelines in distributed environments. Proceedings of the 22nd IEEE International Parallel and Distributed Processing Symposium, the 9th IEEE International Workshop on Parallel and Distributed Scientific and Engineering Computing, pp. 1-8, Miami, Florida, April 14-18, 2008.

  37. M. Zhu, Q. Wu, and N.S.V. Rao. Computational monitoring and steering using network-optimized visualization and Ajax web server. Proceedings of the 22nd IEEE International Parallel and Distributed Processing Symposium, pp. 1-12, Miami, Florida, April 14-18, 2008.

  38. Y. Lin, Q. Wu, N.S.V. Rao, and M. Zhu. On design of scheduling algorithms for advance bandwidth reservation in dedicated networks. Proceedings of INFOCOM High-Speed Networks Workshop, pp. 1-6, Phoenix, Arizona, April 13, 2008.

  39. M. Zhu and Q. Wu. A Parallel computing approach to decipher transcription network for large-scale microarray datasets. Proceedings of the 2007 International Conference on Bioinformatics and Computational Biology, vol. II, pp. 700-706, Las Vegas, Nevada, June 25-28, 2007.

  40. Y. Yang, M. Zhu, L. Wu, and J. Zhou. Biostatistical Considerations of the Use of Genomic DNA Reference in Microarrays. Proceedings of 7th IEEE Bioinformatics and Bioengineering (BIBE07), Boston, MA, vol. I, pp 593-600, October 2007 (First Runner-up of Best Application Paper Award).

  41. J. Yuan, M. Zhu, M. Iqbal, and D. A. Lightfoot. A Computational Approach to Understand Arabidopsis thaliana and Soybean Resistance to Fusarium solani (Fsg). Proceedings of 7th IEEE Bioinformatics and Bioengineering, Boston, MA,vol. I, pp 585-592, October 2007.

  42. Q. Wu, J. Gao, and M. Zhu. A scalable framework for distributed virtual reality using heterogeneous processors. Proceedings of the 16th International Conference on Artificial Reality and Telexistence, Lecture Notes in Computer Science, vol 1, pp. 314-323, Hangzhou, P.R. China, November 2006.

  43. M. Zhu, Q. Wu, Y. Yang, and J. Zhou. A New approach to identify functional modules using random matrix theory. Proceedings of IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, vol. 1, pp. 117-123, Toronto, Canada, September 2006.

  44. M. Zhu, S. Ding, R.R. Brooks, Q. Wu, N.S.V. Rao, and S. S. Iyengar. Fusion of threshold rules for target detection in self-organizing sensor networks. The 9th ONR/GTRI Workshop on Target Tracking and Sensor Fusion, Gatlinburg, TN, June 2006.

  45. Q. Wu, M. Zhu, and N.S.V. Rao. System design for on-line distributed computational visualization and steering. Proceedings of the International Conference on E-learning and Games, Lecture Notes in Computer Science, vol. 3942, pp. 1121–1130, Hangzhou, China, April 2006.

  46. M. Zhu, S.S. Iyengar, Q. Wu, and N.S.V. Rao. Optimal visualization pipeline decomposition and adaptive network mapping to support remote visualization. Proceeding of the 13th Annual Mardi Gras Conference: Frontiers of Grid Applications and Technologies, Baton Rouge, LA, February 2005.

  47. M. Zhu, Q. Wu, N.S.V. Rao, and S.S. Iyengar. On optimal mapping of visualization pipeline onto linear arrangement of network nodes. Proceedings of SPIE 2004 (International Society for Optical Engineering), Conference on Visualization and Data Analysis, vol. 5669, pp. 1-11, San Jose, CA January 2005.

  48. M. Zhu, Q. Wu, N.S.V. Rao, and S.S. Iyengar. Adaptive Visualization Pipeline Decomposition and Mapping onto Computer Networks. Proceedings of the 3rd International Conference on Image and Graphics, vol 1, pp. 402-405, Hong Kong, China, December 2004.

  49. R. R. Brooks, M. Piretti, M. Zhu, and S.S. Iyengar. Distributed Adaptation Methods for Wireless Sensor Networks. Proceedings of IEEE Globecom 2003, vol. 5, pp. 2967-2971, December 2003.

  50. R. R. Brooks, M. Piretti, M. Zhu, and S.S. Iyengar. Adaptive routing using emergent protocols in wireless Ad Hoc Sensor Networks. Proceedings of SPIE 48th annual meeting symposium, Advanced Signal Processing Algorithms, Architecture, and Implementation, pp.155-163, San Diego, CA, August 2003.

     

     

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