Waleed M. Meleis


Associate Professor

Department of Electrical and Computer Engineering
409 Dana Research Center
Northeastern University
360 Huntington Avenue
Boston MA 02115-5000

Office: 320 Dana Research Center

617-373-8970 (fax)



Information for students

Research

Curriculum vita


Education


Funding


Publications

  1. J. Tai, J. Zhang, J. Li, W. Meleis, N. Mi, ArA: Adaptive Resource Allocation for Clouds under Burst Workloads , Proceedings of the IEEE International Performance Computing and Communications Conference (IPCCC), Orlando, Florida, 2011, pp. 1-8.
  2. K. Chowdhury, R. Doost-Mohammady, W. Meleis, M. Di Felice, L. Bononi, Cooperation and Communication in Cognitive Radio Networks based on TV Spectrum Experiments, Proceedings of IEEE International Symposium on a World of Wireless Mobile and Multimedia Networks (WoWMoM), Lucca, Italy, 2011, pp. 1-9.
  3. J. Zhang, N. Mi, J. Tai and W. Meleis, Decentralized Scheduling of Bursty Workload On Computing Grids, Proceedings of IEEE International Conference on Communications (ICC), Kyoto, Japan, 2011.
  4. M. Di Felice, K. Chowdhury, C. Wu, L. Bononi, and W. Meleis, Learning-based Spectrum Selection in Cognitive Radio Ad Hoc Networks, Proceedings of the Eight International Conference on Wired/Wireless Internet Communications (WWIC), Invited paper, Lulea, Sweden, 2010.
  5. C. Wu, K. Chowdhury, M. Di Felice, and W. Meleis, Spectrum Management of Cognitive Radio Using Multi-agent Reinforcement Learning, Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), Toronto, Canada, 2010.
  6. J. Zhang and W. Meleis, Adaptive Grid Computing for MPI Applications, Proceedings of the IASTED International Conference on Parallel and Distributed Computing and Systems, Cambridge, MA, 2009.
  7. C. Wu and W. Meleis, Adaptive Fuzzy Function Approximation for Multi-Agent Reinforcement Learning, Proceedings of IEEE/WIC/ACM International Conference on Intelligent Agent Technology(IAT), Milan, Italy, 2009.
  8. C. Wu and W. Meleis, Fuzzy Kanerva-based Function Approximation for Reinforcement Learning, Proceedings of the 8th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), Budapest, Hungary, 2009.
  9. C. Wu and W. Meleis, Optimized Kanerva-based Function Approximation for Multi-Agent Systems, Proceedings of the 7th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), Estoril, Portugal, 2008.
  10. M. Fayyazi, D. Kaeli and W. Meleis, An adjustable linear-time parallel algorithm for maximum weight bipartite matching, Information Processing Letters, Vol. 97, No. 5, March 2006, pp. 186-190.
  11. J. Zhang, W. Meleis, D. Kaeli and T. Wu, Acceleration of Maximum Likelihood Estimation for Tomosynthesis Mamography, The 12th International Conference on Parallel and Distributed Systems, pp. 291-299, Minneapolis, MN, 2006.
  12. F. Karimi, Z. Navabi, W. Meleis, and F. Lombardi, Using Data Compression in Automatic Test Equipment for System-on-Chip Testing, IEEE Transactions on Instrumentation and Measurement, Vol. 53, No. 2, April 2004, pp. 308-317.
  13. M. Fayyazi, D. Kaeli and W. Meleis, A Polylogarithmic Time Parallel Maximum Weight Bipartite Matching Algorithm for Scheduling in Input-Queued Switches, Proceedings of International Parallel and Distributed Processing Symposium (IPDPS), Santa Fe NM, 2004.
  14. T. Wu, R. Moore, J. Zhang, E. Rafferty, D. Kopans, W. Meleis and D. Kaeli, Digital tomosynthesis mammography using a parallel maximum likelihood reconstruction method, Proceedings of SPIE: Medical Imaging, pp. 1-4, San Diego CA, 2004.
  15. H. Quinn, L. A. S. King, M. Leeser, and W. Meleis, Runtime Assignment of Reconfigurable Hardware Components for Image Processing Pipelines, IEEE Symposium on FPGAs for Custom Computing Machines, Napa CA, 2003, p. 173.
  16. I. Baev, W. Meleis, S. Abraham, Backtracking-based Instruction Scheduling To Fill Branch Delay Slots, International Journal on Parallel Programming, Vol. 30, December 2002, pp. 397-418.
  17. I. Baev, W. Meleis, and A. Eichenberger, Lower Bounds on Precedence-Constrained Scheduling for Parallel Processors, Information Processing Letters, Vol. 83, No. 1, July 2002, pp. 27-32.
  18. I. Baev, W. Meleis, and A. Eichenberger, An Experimental Study of Algorithms for Total Weighted Completion Time Scheduling, Algorithmica, Vol. 33, No. 1, May 2002, pp. 34-51.
  19. M. Ashouei, D. Jiang, W. Meleis, D. Kaeli, M. El-Shenawee, E. Mizan, Y. Wang and C. Rappaport, Profile-based Characterization and Tuning for Subsurface Sensing and Imaging Applications, International Journal of SIMULATION: Systems, Science and Technology, Vol. 3, No. 1-2, June 2002, pp. 40-55.
  20. M. El-Shenawee, C. Rappaport, D. Jiang, and W. Meleis, Electromagnetics Computations Using the MPI Parallel Implementation of the Steepest Descent Fast Multipole Method (SDFMM), Applied Computational Electromagnetics Society Journal, Vol. 17, 2002, pp. 112-122.
  21. D. Jiang, W. Meleis, M. El-Shenawee, E. Mizan, M. Ashouei, and C. Rappaport, Parallel Implementation of the Steepest Descent Fast Multipole Method (SDFMM) On a Beowulf Cluster for Subsurface Sensing Applications, IEEE Microwave and Wireless Components Letters, Vol. 12, No. 1, January 2002, pp. 24-26.
  22. F. Karimi, W. Meleis, Z. Navabi, and F. Lombardi, Data Compression for System-On-Chip Testing using ATE, 17th IEEE Intl. Symposium on Defect and Fault Tolerance in VLSI Systems, Vancouver, Canada, 2002, pp. 166-174.
  23. W. Meleis, A. Eichenberger, and I. Baev, Scheduling Superblocks with Bound-based Branch Tradeoffs, IEEE Trans. on Computers, Vol. 50, No. 8, August 2001, pp. 784-797.
  24. W. Meleis, Dual-Issue Scheduling for Binary Trees with Spills and Pipelined Loads, SIAM Journal on Computing, Vol. 30, No. 6, 2001, pp. 1921-1941.
  25. A. Eichenberger, W. Meleis, and S. Maradani, An Integrated Approach to Accelerate Data and Predicate Computations in Hyperblocks, 33rd Annual Intl. Conf. on Microarchitecture (IEEE/ACM), Monterey CA, Dec. 2000, pp. 101-111.
  26. S. Abraham, W. Meleis, and I. Baev, Efficient backtracking instruction schedulers, Intl. Conf. on Parallel Architectures and Compilation Techniques (IEEE/ACM), Philadelphia, PA, 2000, pp. 301-308.
  27. I. Baev, W. Meleis and A. Eichenberger, Lower Bounds on Precedence-constrained Scheduling for Parallel Processors, Intl. Conf. on Parallel Processing, Toronto, Canada, 2000, 549-553.
  28. J. Kalamatianos, A. Khalafi, D. Kaeli, and W. Meleis, Temporal-based Cache Interaction for Improved Program Layout, IEEE Trans. on Computers, Special Issue on Cache Memory, 1999, pp. 168-175.
  29. J. Kalamatianos, A. Khalafi, D. Kaeli, B. Calder, and W. Meleis, Program Reordering Using Estimated Call Graphs, DEC Technical Journal, Special Issue on Programming Languages and Tools, accepted 1999.
  30. A. Eichenberger and W. Meleis, Balance Scheduling: Weighing Branch Tradeoffs in Superblocks, 32nd Annual Intl. Conf. on Microarchitecture (IEEE/ACM), 1999, pp. 272.
  31. I. Baev, W. Meleis, and A. Eichenberger, Algorithms for Total Weighted Completion Time Scheduling, ACM-SIAM Symp. on Discrete Algorithms, January 1999.
  32. W. Meleis and E. Davidson, Optimal Dual-Issue Instruction Scheduling With Spills for Binary Expression Trees, ACM-SIAM Symp. on Discrete Algorithms, January 1999.
  33. M. Leeser, W. Meleis, M. Vai, S. Chiricescu, W. Xu, and P. Zavracky, Rothko: A Three Dimensional FPGA, IEEE Design and Test Magazine, Spring 1998, pp. 16-23.
  34. J. Casmira, J. Fraser, D. Kaeli, and W. Meleis, Operating System Impact on Trace-Driven Simulation, 31st Annual Simulation Symp., April 1998.
  35. M. Leeser, W. Meleis, M. Vai, and P. Zavracky, Rothko: a Three Dimensional FPGA Architecture, its Fabrication, and Design Tools, IEEE Conf. on Advanced Research in VLSI (ARVLSI), 1997.
  36. W. Meleis and E. Davidson, Optimal Local Register Allocation for a Multiple-Issue Machine, ACM Intl. Conf. on Supercomputing, pp 107-116, July 1994.


Other papers and presentations

  1. M. Di Felice, K. Chowdhury, W. Meleis, and L. Bononi, To Sense or To Transmit: A Learning-based Spectrum Management Scheme for Cognitive RadioMesh Networks, Fifth IEEE Workshop on Wireless Mesh Networks (WiMesh), held in conjunction with IEEE SECON, Boston, Massachusetts, 2010
  2. C. Wu and W. Meleis, Function Approximation Using Tile and Kanerva Coding For Multi-Agent Systems, Workshop on Adaptive Learning Agents (ALA), held in conjunction with the 8th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), Budapest, Hungary, 2009.
  3. I. Baev and W. Meleis, Total Weighted Completion Time Scheduling for Superblocks, SIAM Conference on Discrete Mathematics, January 1998.
  4. J. Kalamatanos, A. Khalafi, D. Kaeli, and W. Meleis, Memory Performance Tuning Using Graph-based Analysis, Workshop on Pre-Hardware Performance Analysis Techniques, June 1998.
  5. K. Bowers, D. Kaeli, and W. Meleis, Performance Optimization of the Forth Interpreter, Northeastern University Technical Report ECE-CEG-98-022, 1998.
  6. S. Sair, D. Kaeli, and W. Meleis, A Study of Loop Unrolling for VLIW-Based DSP Processors, IEEE Workshop on Signal Processing Systems, 1998, pp. 519 -527.
  7. W. Meleis, M. Leeser, P. Zavracky, and M. Vai, Architectural Design of a Three-Dimensional FPGA, Workshop on Field-Programmable Logic and Applications (FPL), 1997.


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