WALEED MELEIS. Phone: (617) Fax: (617) ECE Department Northeastern Univ. Boston, MA 02115

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1 WALEED MELEIS Phone: (617) Fax: (617) ECE Department Northeastern Univ. Boston, MA Education: University of Michigan Department of Electrical Engineering and Computer Science Ph.D., Computer Science and Engineering, Advisor: Edward S. Davidson. Dissertation: Optimal Instruction Scheduling and Register Allocation for Multiple-Issue Processors. University of Michigan, Department of Electrical Engineering and Computer Science M.S., Computer Science and Engineering, Princeton University B.S.E., Electrical Engineering, Experience Northeastern University, Department of Electrical and Computer Engineering Associate Professor, 2002 present. Assistant Professor, University of Michigan, Advanced Computer Architecture Laboratory Research Assistant, IBM T.J. Watson Research Center Research Intern, summers 1987, Archival Journal Publications (in Print or Accepted) 1. An adjustable linear-time parallel algorithm for maximum weight bipartite matching, M. Fayyazi, D. Kaeli and W. Meleis, Information Processing Letters, Vol. 97, No. 5, March 2006, pp Using Data Compression in Automatic Test Equipment for System-on-Chip Testing, F. Karimi, Z. Navabi, W. Meleis, and F. Lombardi, IEEE Transactions on Instrumentation and Measurement, Vol. 53, No. 2, April 2004, pp Backtracking-based Instruction Scheduling W. Meleis, I. Baev, and S. Abraham, International Journal of Parallel Programming, Vol. 30, December 2002, pp Graduate student author.

2 4. Electromagnetics Computations Using the MPI Parallel Implementation of the Steepest Descent Fast Multipole Method (SDFMM), M. El-Shenawee, C. Rappaport, D. Jiang, and W. Meleis, Applied Computational Electromagnetics Society Journal, Vol. 17, 2002, pp Lower Bounds on Precedence-Constrained Scheduling for Parallel Processors, I. Baev, W. Meleis, and A. Eichenberger, Information Processing Letters, Vol. 83, No. 1, July 2002, pp Profile-based Characterization and Tuning for Subsurface Sensing and Imaging Applications, M. Ashouei, D. Jiang, W. Meleis, D. Kaeli, M. El-Shenawee, E. Mizan, Y. Wang and C. Rappaport, International Journal of SIMULA- TION: Systems, Science and Technology, Vol. 3, No. 1-2, June 2002, pp An Experimental Study of Algorithms for Weighted Completion Time Scheduling, I. Baev, W. Meleis, and A. Eichenberger, Algorithmica, Vol. 33, No. 1, May 2002, pp Parallel Implementation of the Steepest Descent Fast Multipole Method (SDFMM) On a Beowulf Cluster for Subsurface Sensing Applications, D. Jiang, W. Meleis, M. El-Shenawee, E. Mizan, M. Ashouei, and C. Rappaport, IEEE Microwave and Guided Wave Letters, Vol. 12, No. 1, January 2002, pp Scheduling Superblocks with Bound-based Branch Tradeoffs, W. Meleis, A. Eichenberger, and I. Baev. IEEE Transactions on Computers, Vol. 50, No. 8, August 2001, pp Dual-Issue Scheduling for Binary Trees with Spills and Pipelined Loads, W. Meleis. SIAM Journal on Computing, Vol. 30, No. 6, 2001, pp Analysis of Temporal-Based Program Behavior for Improved Instruction Cache Performance, J. Kalamatianos, A. Khalafi, D. Kaeli, and W. Meleis. IEEE Transactions on Computers, Vol. 48, No. 2, February 1999, pp Program Mapping Using Estimated Program Behavior, A. Hooshang Hashemi, J. Kalamatianos, D. Kaeli, A. Khalafi, W. Meleis, and B. Calder. DEC Technical Journal, Special Issue on Programming Languages and Tools, 1999 (accepted). 13. Rothko: A Three Dimensional FPGA, M. Leeser, W. Meleis, M. Vai, S. Chiricescu, W. Xu, and P. Zavracky. IEEE Design and Test of Computers, Vol. 15, No. 1, January March, 1998, pp Critically Reviewed Conference Papers 14. Optimized Kanerva-based Function Approximation for Multi-Agent Systems, W. Cheng and W. Meleis, Proceedings of the 7th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), Estoril, Portugal, 2008.

3 15. Acceleration of Maximum Likelihood Estimation for Tomosynthesis Mamography, J. Zhang, W. Meleis, D. Kaeli and T. Wu, The 12th International Conference on Parallel and Distributed Systems, pp , Minneapolis, MN, Digital tomosynthesis mammography using a parallel maximum likelihood reconstruction method, T. Wu, R. Moore, J. Zhang, E. Rafferty, D. Kopans, W. Meleis and D. Kaeli, Proceedings of SPIE: Medical Imaging, pp. 1-4, San Diego CA, A Polylogarithmic Time Parallel Maximum Weight Bipartite Matching Algorithm for Scheduling in Input-Queued Switches, M. Fayyazi, D. Kaeli and W. Meleis, Proceedings of International Parallel and Distributed Processing Symposium (IPDPS), (IPDPS), Santa Fe NM, Runtime Assignment of Reconfigurable Hardware Components for Image Processing Pipelines, H. Quinn, L. King, M. Leeser, and W. Meleis, Proceedings of the IEEE Symposium on FPGAs for Custom Computing Machines, Napa CA, 2003, p Data Compression for System-On-Chip Testing using ATE, F. Karimi, W. Meleis, Z. Navabi, and F. Lombardi, Proceedings of the 17th IEEE Intl. Symposium on Defect and Fault Tolerance in VLSI Systems, Vancouver, Canada, 2002, pp An Integrated Approach to Accelerate Data and Predicate Computations in Hyperblocks, A. Eichenberger, W. Meleis, and S. Maradani. Proceedings of the 33rd Annual IEEE/ACM International Conference on Microarchitecture, Monterey CA, Dec. 2000, pp , Acceptance rate: 28%. 21. Efficient backtracking instruction schedulers, S. Abraham, W. Meleis, and I. Baev. Proceedings of the IEEE/ACM International Conference on Parallel Architectures and Compilation Techniques, Philadelphia, PA, 2000, pp , Acceptance rate: 21% (full papers). 22. Lower Bounds on Precedence-constrained Scheduling for Parallel Processors, I. Baev, W. Meleis and A. Eichenberger. Proceedings of the IEEE International Conference on Parallel Processing, Toronto, Canada, 2000, pp , Acceptance rate: 39%. 23. Balance Scheduling: Weighing Branch Tradeoffs in Superblocks, A. Eichenberger and W. Meleis. Proceedings of the 32nd Annual IEEE/ACM International Conference on Microarchitecture, Haifa, Israel, November 1999, pp , Acceptance rate: 21%. 24. Dual-Issue Scheduling With Spills for Binary Trees, W. Meleis and E. Davidson. Proceedings of the ACM/SIAM Symposium on Discrete Algorithms, Baltimore, Maryland, January 1999, pp , Acceptance rate: 28% (full papers). 25. Algorithms for Total Weighted Completion Time Scheduling, I. Baev, W. Meleis, and A. Eichenberger. Proceedings of the ACM/SIAM Symposium on Discrete Algorithms, Baltimore, Maryland, pp , January 1999, 74 short papers accepted, 337 papers submitted.

4 26. Optimal Local Register Allocation for a Multiple-Issue Machine, W. Meleis and E. Davidson. Proceedings of the ACM International Conference on Supercomputing, pp , July Acceptance rate: 39%. Reviewed Conference Papers 27. Digital tomosynthesis mammography using a parallel maximum likelihood reconstruction method, T. Wu, R. Moore, E. Rafferty, D. Kopans, J. Zhang, W. Meleis and D. Kaeli, Medical Imaging, pp. 1-4, San Diego CA, Memory Performance Tuning Using Graph-based Analysis, J. Kalamatianos, A. Khalafi, D. Kaeli, and W. Meleis. Proceedings of the Workshop on Pre- Hardware Performance Analysis Techniques, June Operating System Impact on Trace-Driven Simulation, J. Casmira, J. Fraser, D. Kaeli, and W. Meleis. Proceedings of the 31st Annual Simulation Symposium, April 1998, pp A Study of Loop Unrolling for VLIW-Based DSP Processors, S. Sair, D. Kaeli, and W. Meleis. Proceedings of the IEEE Workshop on Signal Processing Systems, 1998, pp Architectural Design of a Three Dimensional FPGA, W. Meleis, M. Leeser, P. Zavracky and M. Vai. Proceedings of the 17th Conference on Advanced Research in VLSI, 1997, pp Book Chapters (in Print or to Appear) 32. Rothko: A Three Dimensional FPGA Architecture, its Fabrication, and Design Tools, M. Leeser, W. Meleis, M. Vai, and P. Zavracky. In P. Cheung, W. Luk,and M. Glessner, editors, Field Programmable Logic and Applications. Springer-Verlag Lecture Notes in Computer Science No pp , Design of Algorithms, W. Meleis and R. Rajaraman. In Encyclopedia of Life Support Systems, Eolss Publishers Co. Ltd., to appear. 34. Analysis of Algorithms, W. Meleis and R Rajaraman. In Encyclopedia of Life Support Systems, Eolss Publishers Co. Ltd., to appear.

5 Awards 1. Martin W. Essigmann Outstanding Teaching Award, College of Engineering, Center for Innovative Course Design Teaching Award, Educational Technology Center, Nominated for Center for Innovative Course Design Teaching Award, Educational Technology Center, Nominated for Martin W. Essigmann Outstanding Teaching Award, College of Engineering, Nominated for University Teaching Award, 2008.

6 Graduate Students Supervised as Committee Chair C. Wu, Function approximation for multiagent machine learning, Ph.D. expected R. Rifaat, Multiagent machine learning, Ph.D. expected J. Zhang, Performance evaluation and improvement of the Globus Parallel Programming Standard, Ph.D. expected E. Mizan, Bounds-based Instruction Scheduling, M.S (now at University of Texas, Austin). M. Ashouei, Performance Evaluation-Based Approaches to Parallelizing Electromagnetics Modeling Applications, M.S (now at Georgia Tech). I. Baev, Resource-Aware Instruction Scheduling, Ph.D (now at Hewlett- Packard). D. Jiang, Performance Modeling and Parallelization of an Electromagnetics Subsurface Imaging Application, M.S (now at Openwave Systems Inc). J. Goldstein, An Architecture and Task-Allocation Scheme for a Homogeneous, Synchronous Data Flow System, M.S Undergraduate Students Supervised Professional Service R. Cabral, K. Guilbert, E. Okafor, A. Kanan, E. Anderson, G. Krapf. Program Committee Member: Workshop on Solving the Memory Wall Problem, held in conjunction with the 27th Annual IEEE/ACM International Symposium on Computer Architecture, Panel Member: National Science Foundation Information Technology Research Panel, National Science Foundation Major Research Infrastructure Panel, Referee: IEEE Transactions on Computers IEEE Transactions on VLSI Systems IEEE Transactions on Parallel and Distributed Systems IEEE/ACM International Conference on Microarchitecture Journal of VLSI Signal Processing International Conference on Computer-Aided Design Intl. Conference on Parallel Architectures and Compilation Techniques Intl. Conference on Application-specific Systems, Architectures and Processors.

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