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Waleed Meleis
Researcher at Northeastern University
Publications - 52
Citations - 959
Waleed Meleis is an academic researcher from Northeastern University. The author has contributed to research in topics: Scheduling (computing) & Reinforcement learning. The author has an hindex of 17, co-authored 52 publications receiving 881 citations. Previous affiliations of Waleed Meleis include University of Michigan.
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QTCP: Adaptive Congestion Control with Reinforcement Learning
TL;DR: QTCP enables senders to gradually learn the optimal congestion control policy in an on-line manner, and does not need hard-coded rules, and can therefore generalize to a variety of different networking scenarios, and is outperforms the traditional rule-based TCP.
Proceedings ArticleDOI
Spectrum management of cognitive radio using multi-agent reinforcement learning
TL;DR: This paper introduces a multi-agent reinforcement learning approach based spectrum management that uses value functions to evaluate the desirability of choosing different transmission parameters, and enables efficient assignment of spectrums and transmit powers by maximizing long-term reward.
Proceedings ArticleDOI
ArA: Adaptive resource allocation for cloud computing environments under bursty workloads
TL;DR: A smart load balancer is presented, which leverages the knowledge of burstiness to predict the changes in user demands and on-the-fly shifts between the schemes that are “greedy” and “random” based on the predicted information, to improve overall system performance.
Proceedings ArticleDOI
Digital tomosynthesis mammography using a parallel maximum-likelihood reconstruction method
Tao Wu,Juemin Zhang,Richard D. Moore,Elizabeth A. Rafferty,Daniel B. Kopans,Waleed Meleis,David Kaeli +6 more
TL;DR: A parallel reconstruction method, based on an iterative maximum likelihood (ML) algorithm, is developed to provide fast reconstruction for digital tomosynthesis mammography, and no significant differences were observed between the reconstructions produced by the serial and parallel implementations.
Journal ArticleDOI
Rothko: a three-dimensional FPGA
TL;DR: Using transferred circuits and metal interconnections placed between layers of active devices anywhere on the chip, Rothko aims at solving utilization, routing, and delay problems of existing FPGA architectures.