World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
36
Citations
11573
World Ranking
8544
National Ranking
2354

Research.com Recognitions

  • 2003 - IEEE Fellow For contributions to stochastic algorithms in control and optimization.

Overview

James C. Spall is affiliated with the Johns Hopkins University Applied Physics Laboratory in the United States. Their research primarily spans the fields of mathematics and engineering, with publications covering topics in statistics and probability, control and systems engineering, computer networks and communications, modeling and simulation, and electrical and electronic engineering.

The main subjects of their work include distributed sensor networks and detection algorithms, COVID-19 epidemiological studies, advanced causal inference techniques, stochastic processes and financial applications, statistical methods and inference, target tracking and data fusion in sensor networks, and control systems and identification.

Recent publications by Spall feature the following papers:

  • Stochastic approximation with nondecaying gain: Error bound and data-driven gain-tuning, 2020, International Journal of Robust and Nonlinear Control
  • Uncertainty Quantification for the Extended and the Deterministic-Gain Kalman Filters, 2022, 2022 American Control Conference (ACC)
  • Switch Updating in SPSA Algorithm for Stochastic Optimization with Inequality Constraints, 2023, arXiv (Cornell University)
  • Discrete Stochastic Optimization for Public Health Interventions with Constraints, 2022, Operations Research Forum
  • Discrete Stochastic Optimization for Public Health Interventions with Constraints, 2022, arXiv (Cornell University)

Frequent coauthors working with Spall include Zewei Li, Jingyi Zhu, Shihong Wei, Zhichao Jia, and Ziyi Wei.

Their work has appeared repeatedly in venues such as arXiv (Cornell University), the International Journal of Robust and Nonlinear Control, the 2022 American Control Conference (ACC), and Operations Research Forum.

In 2003, Spall received the IEEE Fellow award for contributions to stochastic algorithms in control and optimization.

Best Publications

  • Multivariate stochastic approximation using a simultaneous perturbation gradient approximation

    J.C. Spall

  • Introduction to Stochastic Search and Optimization

    James C. Spall

  • Implementation of the simultaneous perturbation algorithm for stochastic optimization

    J.C. Spall

  • AN OVERVIEW OF THE SIMULTANEOUS PERTURBATION METHOD FOR EFFICIENT OPTIMIZATION

    J. C. Spall

  • Adaptive stochastic approximation by the simultaneous perturbation method

    J.C. Spall

  • A one-measurement form of simultaneous perturbation stochastic approximation

    James C. Spall

  • Model-free control of nonlinear stochastic systems with discrete-time measurements

    J.C. Spall;J.A. Cristion

  • Traffic-responsive signal timing for system-wide traffic control

    James C. Spall;Daniel C. Chin

  • A Stochastic Approximation Technique for Generating Maximum Likelihood Parameter Estimates

    James C. Spall

  • Estimation via Markov chain Monte Carlo

    J.C. Spall

  • Optimal random perturbations for stochastic approximation using a simultaneous perturbation gradient approximation

    P. Sadegh;J.C. Spall

  • Simulation-Based Optimization with Stochastic Approximation Using Common Random Numbers

    Nathan L. Kleinman;James C. Spall;Daniel Q. Naiman

  • Nonlinear adaptive control using neural networks: estimation with a smoothed form of simultaneous perturbation gradient approximation

    J.C. Spall;J.A. Cristion

  • Monte Carlo Computation of the Fisher Information Matrix in Nonstandard Settings

    Unknown

  • A stochastic approximation algorithm for large-dimensional systems in the Kiefer-Wolfowitz setting

    J.C. Spall

  • A neural network controller for systems with unmodeled dynamics with applications to wastewater treatment

    J.C. Spall;J.A. Cristion

  • Feedback and Weighting Mechanisms for Improving Jacobian Estimates in the Adaptive Simultaneous Perturbation Algorithm

    J.C. Spall

  • Asymptotic Sampling Distribution for Polynomial Chaos Representation from Data: A Maximum Entropy and Fisher Information Approach

    Sonjoy Das;Roger Ghanem;James C. Spall

  • Use of the Kalman filter for inference in state-space models with unknown noise distributions

    J.L. Maryak;J.C. Spall;B.D. Heydon

  • Method and apparatus for model-free optimal signal timing for system-wide traffic control

    James C. Spall

  • Stochastic Optimization, Stochastic Approximation and Simulated Annealing

    James C. Spall

Frequent Co-Authors

Roger Ghanem
Roger Ghanem University of Southern California
Panos J. Antsaklis
Panos J. Antsaklis University of Notre Dame
Alessandro Astolfi
Alessandro Astolfi King Abdullah University of Science and Technology
Miroslav Krstic
Miroslav Krstic University of California, San Diego
Antonio Loria
Antonio Loria Centre national de la recherche scientifique, CNRS
Luca Schenato
Luca Schenato University of Padua
Lorenzo Marconi
Lorenzo Marconi University of Bologna
Antonella Ferrara
Antonella Ferrara University of Pavia
Matthew R. James
Matthew R. James Australian National University
Hideaki Ishii
Hideaki Ishii Tokyo Institute of Technology

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Engineering and technology students interested in broadening their career horizons can benefit from exploring other online degree programs. For example, those looking to complement their technical skills with legal expertise may consider aba-approved online paralegal programs. This pathway offers insight into legal processes that often intersect with technology fields, such as intellectual property or patent law.

Professionals aiming to move into leadership or specialized business roles might pursue a cheap online hr masters degree or an mba in entrepreneurship online. These business-focused credentials can help engineers manage teams, launch startups, or move into executive positions.

Effective communication skills are also essential in the technology sector. An online masters in communication can help graduates present complex ideas clearly and lead cross-functional teams, opening new doors in research, product management, or consulting.

By pairing an engineering or technology background with one of these online degrees, students can enhance their expertise and stand out in a competitive job market.

Best Scientists Citing James C. Spall

Trending Scientists

Recently Published Articles