World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
52
Citations
25854
World Ranking
3520
National Ranking
1027

Overview

Dan Simon is affiliated with Cleveland State University in the United States. Their research spans multiple disciplines within engineering and computer science, with a strong emphasis on biomedical applications and computational methodologies.

The main fields of study for Dan Simon include:

  • Engineering
  • Computer Science

Within these broad domains, their work focuses on several specialized subfields:

  • Biomedical Engineering
  • Artificial Intelligence
  • Computational Theory and Mathematics
  • Computer Vision and Pattern Recognition
  • Control and Systems Engineering

Dan Simon's research topics cover a range of advanced areas with particular attention to optimization algorithms and robotics related to healthcare technologies. The key research topics include:

  • Prosthetics and Rehabilitation Robotics
  • Muscle activation and electromyography studies
  • Metaheuristic Optimization Algorithms Research
  • Advanced Multi-Objective Optimization Algorithms
  • Robotic Path Planning Algorithms
  • Target Tracking and Data Fusion in Sensor Networks
  • Advanced Control Systems Optimization

Among their recent publications, several papers highlight the intersection of biomedical engineering and control systems:

  • "Toward Minimal-Sensing Locomotion Mode Recognition for a Powered Knee-Ankle Prosthesis," 2020, published in IEEE Transactions on Biomedical Engineering
  • "A Generalized Unscented Transformation for Probability Distributions," 2021, published on arXiv (Cornell University)
  • "An Extensive Set of Kinematic and Kinetic Data for Individuals with Intact Limbs and Transfemoral Prosthesis Users," 2020, published in Applied Bionics and Biomechanics
  • "Early evaluation of a powered transfemoral prosthesis with force-modulated impedance control and energy regeneration," 2021, published in Medical Engineering & Physics
  • "Evolutionary Algorithms for Multi-Objective optimization of Drone Controller Parameters," 2021, published in the 2021 IEEE Conference on Control Technology and Applications (CCTA)

Dan Simon has coauthored work with several collaborators, with whom they have frequently published:

  • Hamed Javidi
  • Azin Shamshirgaran
  • Donald Ebeigbe
  • Gholamreza Khademi
  • Arash Roshanineshat

Their publications are distributed among established venues spanning biomedical engineering, computational theory, and engineering conferences, such as:

  • arXiv (Cornell University)
  • IEEE Transactions on Biomedical Engineering
  • Applied Bionics and Biomechanics
  • Medical Engineering & Physics
  • 2021 IEEE Conference on Control Technology and Applications (CCTA)

Best Publications

  • Optimal State Estimation: Kalman, H Infinity, and Nonlinear Approaches

    Dan Simon

  • Biogeography-Based Optimization

    D. Simon

  • Evolutionary Optimization Algorithms

    Dan Simon

  • Kalman filtering with state constraints: a survey of linear and nonlinear algorithms

    Daniel J. Simon

  • Kalman filtering with state equality constraints

    D. Simon;Tien Li Chia

  • Oppositional biogeography-based optimization

    Mehmet Ergezer;Dan Simon;Dawei Du

  • Blended biogeography-based optimization for constrained optimization

    Haiping Ma;Dan Simon

  • Aircraft Turbofan Engine Health Estimation Using Constrained Kalman Filtering

    Daniel J. Simon;Donald L. Simon

  • Kalman filtering with inequality constraints for turbofan engine health estimation

    Daniel J. Simon;Donald L. Simon

  • Constrained Kalman filtering via density function truncation for turbofan engine health estimation

    Dan Simon;Donald L. Simon

  • Training radial basis neural networks with the extended Kalman filter

    Daniel J. Simon

  • Evolutionary optimization algorithms : biologically-Inspired and population-based approaches to computer intelligence

    Dan Simon

  • Training fuzzy systems with the extended Kalman filter

    Dan Simon

  • Biogeography-based optimization combined with evolutionary strategy and immigration refusal

    Dawei Du;Dan Simon;Mehmet Ergezer

  • A new particle swarm optimization technique

    Chunming Yang;D. Simon

  • Biogeography-based optimization and the solution of the power flow problem

    Rick Rarick;Dan Simon;F. Eugenio Villaseca;Bharat Vyakaranam

  • Biogeography-Based Optimization: A 10-Year Review

    Haiping Ma;Dan Simon;Patrick Siarry;Zhile Yang

  • A probabilistic analysis of a simplified biogeography-based optimization algorithm

    Dan Simon

  • A comparison of filtering approaches for aircraft engine health estimation

    Daniel J. Simon

  • Markov Models for Biogeography-Based Optimization

    D Simon;M Ergezer;Dawei Du;R Rarick

  • Optimal State Estimation : Errata

    Dan Simon;Juan Luque;Ibrahim Abdel Hameed;Rick Rarick

  • On the equivalences and differences of evolutionary algorithms

    Haiping Ma;Haiping Ma;Dan Simon;Minrui Fei;Zixiang Chen

  • Fuzzy Sets and Fuzzy Logic: Theory and Applications

    Dan Simon

  • Introduction to Fuzzy Control

    Daniel J. Simon

Frequent Co-Authors

Haiping Ma
Haiping Ma Shaoxing University
Antonie J. van den Bogert
Antonie J. van den Bogert Cleveland State University
Minrui Fei
Minrui Fei Shanghai University
Alexandre Seuret
Alexandre Seuret Centre national de la recherche scientifique, CNRS
Yuriy S. Shmaliy
Yuriy S. Shmaliy Universidad de Guanajuato
Aaron D. Ames
Aaron D. Ames California Institute of Technology
Daniel I. Sessler
Daniel I. Sessler The University of Texas Health Science Center at Houston
Howard Jay Chizeck
Howard Jay Chizeck University of Washington
Zhiqiang Gao
Zhiqiang Gao Cleveland State University
Saleh Mobayen
Saleh Mobayen National Yunlin University of Science and Technology

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