How do we design for the large part of the population with varying physical and cognitive abilities? In this What's New podcast , Waleed Meleis, associate professor of electrical and computer...
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- Optimal scheduling and register allocation, with spill code, for multiple-issue processors
- Microprocessor-aware scheduling algorithms for modern compilers
- Algorithms for weighted-completion time scheduling
- Design and analysis of tight lower bounds on schedule length
- Backtracking acyclic schedulers
- Parallel and scalable processing systems and programming toolsets.
- Computational infrastructure for seamless, inter-site Grid computing
- Applications of combinatorial optimization to switching, testing, and reconfigurable computing
- Multiagent machine learning for distributed combinatorial optimization
- PhD, University of Michigan, 1996
- COE Fostering Engineering Innovation in Education Award
- Black Engineering Student Society Professor Appreciation Award
- National Academy of Engineering’s Frontiers of Engineering Education Symposium
- College of Engineering Outstanding Teacher Award
- Martin W. Essigmann Outstanding Teaching Award
- Eta Kappa Nu Professor of the Year Award
- W. Li, F. Zhou, K. Chowdhury, W. Meleis, QTCP: Adaptive Congestion Control with Reinforcement Learning, IEEE Transactions on Network Science and Engineering, 2018, 1
- W. Li, W. Meleis, Adaptive Adjacency Kanerva Coding for Memory-Constrained Reinforcement Learning, In International Conference on Machine Learning and Data Mining in Pattern Recognition (MLDM), Springer, New York, 2018
- W. Li, F. Zhou, W. Meleis, K. Chowdhury, Dynamic Generalization Kanerva Coding in Reinforcement Learning for TCP Congestion Control Design, Proceedings of the 16th International Conference on Autonomous Agents and Multiagent Systems, Sao Paolo, Brazil, 2017
- J. Radford, A. Pilny, A. Reichelmann, B. Keegan, B. Welles, J. Hoye, K. Ognyanova, W. Meleis, D. Lazer, Volunteer Science: An Online Laboratory for Experiments in Social Psychology, Social Psychology Quarterly, 79(4), 2016
- L. Hayward, S. Ventura, M. Mahanna, W. Meleis, Inter-Professional Collaboration between Physical Therapy, Speech Language Pathology and Engineering Faculty and Students to Address Global Pediatric Rehabilitation Needs: A Case Report, Journal of Physical Therapy Education, 30(4), 2016
- C. Wu, W. Li, W. Meleis, Rough Sets-Based Prototype Optimization in Kanerva-Based Function Approximation, IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 2015
- J. Radford, B. Keegan, J. Hoye, C. Karbeyaz, K. Ognyanova, B. Foucault Welles, W. Meleis, D. Lazer, Conducting Massively Open Online Social Experiments with Volunteer Science, International AAAII Conference on Web and Social Media, 2015
Waleed Meleis received his BSE degree in Electrical Engineering from Princeton University in 1990, and the MS and PhD degrees in Computer Science and Engineering from the University of Michigan in 1992 and 1996. In 1996 he joined the Computer Engineering Group of the Department of Electrical and Computer Engineering at Northeastern University.
Professor Meleis's research is on developing and evaluating algorithms and bounds for combinatorially difficult optimization problems. He has made contributions to the following areas:
Research & Scholarship Interests
Department Research Areas
College Research Initiatives
Honors & Awards
ECE Interim Chair Miriam Leeser, Associate Chair Waleed Meleis, and Associate Professor Purnima Ratilal-Makris met with undergraduate students in the ECE Student Advisory Board to discuss their...
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