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@sajjadtaghvaeifr
Drapeau de Japan Sendai, Japan
Membre depuis le 8 septembre 2018
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sajjadtaghvaeifr

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I have got my PhD from department of bioengineering and robotics, Tohoku University, Japan. I have experience in teaching Mechanical engineering courses such as dynamics, Engineering drawing, control, etc. I have done many research projects and published 28 journal and conference papers in robotics, mechanism design, nonlinear dynamics, and control.
$15 USD/hr
5 commentaires
3.0
  • 100%Travaux complétés
  • 100%Selon le budget
  • 100%Dans les temps
  • 11%Taux de Réembauche

Portfolio

Avis récents

  • image de Gul W. differential equation in Matlab $35.00 USD

    “[login to view URL] is intelligent and hard working. Quickly grasp the problem and sort out its solution”

  • image de Gul W. matlab code $20.00 USD

    “Dr. Sajjad, is a professional with profound knowledge of engineering and numerical analysis. In addition to that he has good work ethics and very good human being. I highly recommend him for projects related to engineering and numerical analysis etc. and wish him good luck for his career.”

  • image de Geok G. control system design (m. file code fix), PSO algorithm with simulink. €30.00 EUR

    “He is a very kind and excellent person not only that, the trust is the thing that I like and really I appreciate him so much. The work was grateful and professional. Thanks”

  • image de Usman Bashir T. MATLAB code of a Algorithm $200.00 USD

    “Very Professional and will hire him again and again in future.”

  • image de Ahmed A. Design a Simulink model for formation flying control $25.00 USD

    “Good work”

Éducation

Ph. D.

2009 - 2012 (3 years)

Publications

HMM-based state classification of a user with a walking support system using visual PCA features

In this study, we propose a method for real-time visual state classification of a user with a walking support system. The visual features are extracted using principal component analysis and classification is performed by hidden Markov models, both for real-time fall detection (one-class classification) and real-time state recognition (multi-class classification).

OPTIMAL MOTION PLANNING OF A PLANAR PARALLEL MANIPULATOR WITH KINEMATICALLY REDUNDANT DOF

In this paper, an optimal motion planning algorithm and dynamic modeling of a planar kinematically redundant manipulator are considered.

Detection of Unstable Periodic Orbits and Chaos Control in a Passive Biped Model

In this investigation, two chaos control algorithms based on linearization of Poincare´ map (OGY method) and artificial neural networks (ANNs) are utilized to control the motion of a passive biped model.

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