Hình đại diện của sajjadtaghvaeifr
Cờ của Japan Sendai, Japan
Làm thành viên từ 8 tháng 9, 2018
1 Đề xuất


Trực tuyến Ngoại tuyến
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
14 nhận xét
  • 100%Công việc đã Hoàn thành
  • 81%Đúng ngân sách
  • 100%Đúng hạn
  • 18%Tỉ lệ thuê lại


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  • hình của Khalid M. Project for Sajjad T. -- 2 $30.00 USD

    “This is my second time working with Sajjad. He delivered a high quality work ahead of time, and he explained what he did very clearly. Thank you!”

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  • hình của Preeti S. Project for matlab - Long term ₹11500.00 INR

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  • hình của Rakesh K. Project 22757724 has been deleted ₹2000.00 INR

    “Good work delivered on time”

  • hình của Khalid M. Project for Sajjad T. $40.00 USD

    “Sajjad did a great job. He was easy communicate with, understood the problem very well, and delivered a high quality work on time. I will not hesitate working with him again.”

  • hình của Alaa H. Develop a generic optimization code $60.00 USD

    “very smart and knows what he is doing”

Giáo dục

Ph. D.

2009 - 2012 (3 years)

Các xuất bản

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).


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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