World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
60
Citations
20356
World Ranking
3185
National Ranking
1543

Electronics and Electrical Engineering

D-Index
58
Citations
19374
World Ranking
1814
National Ranking
720

Overview

Michael J. Neely is affiliated with the University of Southern California in the United States. Their research spans various fields primarily within computer science, decision sciences, and engineering, focusing on computational methods and optimization problems.

The scientist's work is documented across multiple publication venues. Frequent venues include:

  • arXiv (Cornell University)
  • Proceedings of the ACM on Measurement and Analysis of Computing Systems
  • ACM SIGMETRICS Performance Evaluation Review
  • IEEE/ACM Transactions on Networking
  • Antimicrobial Agents and Chemotherapy

Among the main fields of study, Michael J. Neely has contributed to:

  • Computer Science
  • Decision Sciences
  • Engineering

Within these broader fields, the subfields of study include:

  • Management Science and Operations Research
  • Computer Networks and Communications
  • Artificial Intelligence
  • Electrical and Electronic Engineering
  • Computational Mechanics

The scientist's research topics cover several specialized areas:

  • Advanced Bandit Algorithms Research
  • Stochastic Gradient Optimization Techniques
  • Optimization and Search Problems
  • Sparse and Compressive Sensing Techniques
  • Age of Information Optimization
  • Advanced Wireless Network Optimization
  • Game Theory and Applications

Michael J. Neely has authored several papers published primarily between 2020 and 2022, detailing advancements in optimization and online learning methods. Selected recent publications include:

  • Online Primal-Dual Mirror Descent under Stochastic Constraints, 2020, Proceedings of the ACM on Measurement and Analysis of Computing Systems
  • Online Primal-Dual Mirror Descent under Stochastic Constraints, 2020, ACM SIGMETRICS Performance Evaluation Review
  • Fast Learning for Renewal Optimization in Online Task Scheduling, 2020, arXiv (Cornell University)
  • Efficient Distributed MAC for Dynamic Demands: Congestion and Age Based Designs, 2022, IEEE/ACM Transactions on Networking
  • Bregman-style Online Convex Optimization with Energy-Harvesting Constraints, 2020, Proceedings of the ACM on Measurement and Analysis of Computing Systems

Collaboration is a notable aspect of their work, with frequent co-authors including:

  • Kamiar Asgari
  • Mevan Wijewardena
  • Xiaohan Wei
  • Hao Yu
  • Stefan F. Schouten

Best Publications

  • Stochastic Network Optimization with Application to Communication and Queueing Systems

    Michael J. Neely

  • Dynamic power allocation and routing for time-varying wireless networks

    M.J. Neely;E. Modiano;C.E. Rohrs

  • Resource Allocation and Cross Layer Control in Wireless Networks

    Leonidas Georgiadis;Michael J. Neely;Leandros Tassiulas

  • Fairness and optimal stochastic control for heterogeneous networks

    Michael J. Neely;Eytan Modiano;Chih-Ping Li

  • Energy optimal control for time-varying wireless networks

    M.J. Neely

  • Dynamic Storage Allocation: A Survey and Critical Review

    Unknown

  • Capacity and delay tradeoffs for ad hoc mobile networks

    M.J. Neely;E. Modiano

  • Opportunistic Scheduling with Reliability Guarantees in Cognitive Radio Networks

    R. Urgaonkar;M.J. Neely

  • Optimal power cost management using stored energy in data centers

    Rahul Urgaonkar;Bhuvan Urgaonkar;Michael J. Neely;Anand Sivasubramaniam

  • Energy-delay tradeoffs in smartphone applications

    Moo-Ryong Ra;Jeongyeup Paek;Abhishek B. Sharma;Ramesh Govindan

  • Power allocation and routing in multibeam satellites with time-varying channels

    Michael J. Neely;Eytan Modiano;Charles E. Rohrs

  • Dynamic resource allocation and power management in virtualized data centers

    Rahul Urgaonkar;Ulas C. Kozat;Ken Igarashi;Michael J. Neely

  • Dynamic power allocation and routing for satellite and wireless networks with time varying channels

    Michael J. Neely;Eytan Modiano

  • Utility optimal scheduling in energy-harvesting networks

    Longbo Huang;Michael J. Neely

  • Rethinking information theory for mobile ad hoc networks

    J. Andrews;S. Shakkottai;R. Heath;N. Jindal

  • Data centers power reduction: A two time scale approach for delay tolerant workloads

    Yuan Yao;Longbo Huang;Abhihshek Sharma;Leana Golubchik

  • Optimal backpressure routing for wireless networks with multi-receiver diversity

    Michael J. Neely;Rahul Urgaonkar

  • Efficient Algorithms for Renewable Energy Allocation to Delay Tolerant Consumers

    Michael J. Neely;Arash Saber Tehrani;Alexandros G. Dimakis

  • Delay-based network utility maximization

    Michael J. Neely

  • LIFO-backpressure achieves near-optimal utility-delay tradeoff

    Longbo Huang;Scott Moeller;Michael J. Neely;Bhaskar Krishnamachari

  • Optimal Energy and Delay Tradeoffs for Multiuser Wireless Downlinks

    M.J. Neely

  • Dynamic power allocation and routing for time-varying wireless networks

    Unknown

Frequent Co-Authors

Giuseppe Caire
Giuseppe Caire Technical University of Berlin
Ramesh Govindan
Ramesh Govindan University of Southern California
Bhaskar Krishnamachari
Bhaskar Krishnamachari University of Southern California
Urbashi Mitra
Urbashi Mitra University of Southern California
Alexandros G. Dimakis
Alexandros G. Dimakis The University of Texas at Austin
Leana Golubchik
Leana Golubchik University of Southern California
Aylin Yener
Aylin Yener The Ohio State University
Amotz Bar-Noy
Amotz Bar-Noy City University of New York
Jeongyeup Paek
Jeongyeup Paek Chung-Ang University

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