World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
67
Citations
20006
World Ranking
2177
National Ranking
1093

Research.com Recognitions

  • 1998 - ACM Fellow For contributions to the design and analysis of parallel machine interconnection networks, reconfigurable parallel computers, parallel application mappings, and heterogeneous computing systems.
  • 1990 - IEEE Fellow For contributions to the analysis and design of interconnection networks for highly parallel processors.

Overview

Howard Jay Siegel is affiliated with Colorado State University in the United States. The research primarily spans the fields of Computer Science and Engineering, with a focus on several related subfields such as Computer Networks and Communications, Electrical and Electronic Engineering, and Information Systems. Their work also intersects with Computer Vision and Pattern Recognition and Industrial and Manufacturing Engineering.

The main topics of investigation include Cloud Computing and Resource Management, IoT and Edge/Fog Computing, Smart Grid Energy Management, Robotic Path Planning Algorithms, Vehicle Routing Optimization Methods, Blockchain Technology Applications and Security, and Integrated Energy Systems Optimization.

They have coauthored multiple publications with the following frequent collaborators:

  • Sudeep Pasricha
  • Anthony A. Maciejewski
  • Ninad Hogade
  • Siddharth Suryanarayanan
  • Dylan Machovec

Common venues for their publications include:

  • arXiv (Cornell University)
  • IEEE Transactions on Sustainable Computing
  • IEEE Transactions on Smart Grid
  • IEEE Transactions on Parallel and Distributed Systems
  • IET Smart Grid

Selected recent papers highlight the diversity of their research topics and venues:

  • Energy and Network Aware Workload Management for Geographically Distributed Data Centers, 2021, IEEE Transactions on Sustainable Computing
  • Combined Impact of Demand Response Aggregators and Carbon Taxation on Emissions Reduction in Electric Power Systems, 2020, IEEE Transactions on Smart Grid
  • A Value-Oriented Job Scheduling Approach for Power-Constrained and Oversubscribed HPC Systems, 2020, IEEE Transactions on Parallel and Distributed Systems
  • An aggregator-based resource allocation in the smart grid using an artificial neural network and sliding time window optimization, 2021, IET Smart Grid
  • Surveillance mission scheduling with unmanned aerial vehicles in dynamic heterogeneous environments, 2023, The Journal of Supercomputing

Howard Jay Siegel has received notable recognitions including:

  • ACM Fellow in 1998, for contributions to the design and analysis of parallel machine interconnection networks, reconfigurable parallel computers, parallel application mappings, and heterogeneous computing systems
  • IEEE Fellow in 1990, for contributions to the analysis and design of interconnection networks for highly parallel processors

Best Publications

  • A Comparison of Eleven Static Heuristics for Mapping a Class of Independent Tasks onto Heterogeneous Distributed Computing Systems

    Tracy D Braun;Howard Jay Siegel;Noah Beck;Ladislau L Bölöni

  • Dynamic Mapping of a Class of Independent Tasks onto Heterogeneous Computing Systems

    Muthucumaru Maheswaran;Shoukat Ali;Howard Jay Siegel;Debra Hensgen

  • Dynamic matching and scheduling of a class of independent tasks onto heterogeneous computing systems

    M. Maheswaran;S. Ali;H.J. Siegal;D. Hensgen

  • Interconnection networks for large-scale parallel processing: theory and case studies (2nd ed.)

    Howard Jay Siegel

  • Task Matching and Scheduling in Heterogeneous Computing Environments Using a Genetic-Algorithm-Based Approach

    Lee Wang;Howard Jay Siegel;Vwani P. Roychowdhury;Anthony A. Maciejewski

  • Scheduling resources in multi-user, heterogeneous, computing environments with SmartNet

    R.F. Freund;M. Gherrity;S. Ambrosius;M. Campbell

  • A survey and comparison of fault-tolerant multistage interconnection networks

    George B. Adams;Dharma P. Agrawal;Howard Jay Siegel

  • A comparison study of static mapping heuristics for a class of meta-tasks on heterogeneous computing systems

    T.D. Braun;H.J. Siegal;N. Beck;L.L. Boloni

  • Guest Editor's Introduction: Heterogeneous Processing

    Richard F. Freund;Howard Jay Siegel

  • Task execution time modeling for heterogeneous computing systems

    S. Ali;H.J. Siegel;M. Maheswaran;D. Hensgen

  • A dynamic matching and scheduling algorithm for heterogeneous computing systems

    M. Maheswaran;H.J. Siegel

  • Representing Task and Machine Heterogeneities for Heterogeneous Computing Systems

    Shoukat Ali;Howard Jay Siegel;Muthucumaru Maheswaran;Debra Hensgen

  • PASM: A Partitionable SIMD/MIMD System for Image Processing and Pattern Recognition

    Unknown

  • Measuring the robustness of a resource allocation

    S. Ali;A.A. Maciejewski;H.J. Siegel;Jong-Kook Kim

  • Efficient multicast packet authentication using signature amortization

    Jung Min Park;E.K.P. Chong;H.J. Siegel

  • Scheduling parallel applications on utility grids: time and cost trade-off management

    Saurabh Kumar Garg;Rajkumar Buyya;H. J. Siegel

  • Study of multistage SIMD interconnection networks

    Howard Jay Siegel;S. Diane Smith

  • The Multistage Cube: A Versatile Interconnection Network

    H.J. Siegel;R.J. McMillen

  • Time and cost trade-off management for scheduling parallel applications on Utility Grids

    Saurabh Kumar Garg;Rajkumar Buyya;Howard Jay Siegel

  • A taxonomy for describing matching and scheduling heuristics for mixed-machine heterogeneous computing systems

    T.D. Braun;H.J. Siegel;N. Beck;L. Boloni

  • Efficient multicast stream authentication using erasure codes

    Jung Min Park;Edwin K. P. Chong;Howard Jay Siegel

Frequent Co-Authors

Anthony A. Maciejewski
Anthony A. Maciejewski Colorado State University
Edwin K. P. Chong
Edwin K. P. Chong Colorado State University
Sudeep Pasricha
Sudeep Pasricha Colorado State University
Muthucumaru Maheswaran
Muthucumaru Maheswaran McGill University
Viktor K. Prasanna
Viktor K. Prasanna University of Southern California
Salim Hariri
Salim Hariri University of Arizona
Jung-Min Park
Jung-Min Park Virginia Tech
José A. B. Fortes
José A. B. Fortes University of Florida
Mikhail J. Atallah
Mikhail J. Atallah Purdue University West Lafayette
Edward J. Delp
Edward J. Delp Purdue University West Lafayette

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