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Sajjad T.
@sajjadtaghvaeifr
4,8
185
8,0
8,0
90%
PhD in Mechanical Engineering
AI/simulink
$50 USD / jam
・
United Arab Emirates (6:17 PM)
・
Bergabung September 8, 2018
$50 USD / jam
・
I have phd in mechanical engineering from department of bioengineering and robotics from Tohoku university and I lead a team of expert engineering with the following skills:
***** Mechanical engineeing *****
Solidworks
Ansys
Mechanical design
Inventor
Autocad
Machine design
Matlab
Simulink
Vibration
Control
Stress analysis
***** Electrical Engineering *****
Signal processing
Image processing
Power electronic
Power transmission lines
Kalman filters
Electronics
Conrol systems
Identification
***** Computer engineering *****
Programming with python, Java, cpp, etc.
Neural networks
deep learning
convolutional neural network
artificial intelligence
object detection
web design and development
iOS and Android apps
He understood my project requirements and delivered those in time. He has excellent technical skills and I will definitely hire him again for my next project.
I’m happy with the project, he’s an easy communicator and understands he’s work, I’d definitely recommend working with him, and I’d work with him if I had any other project regarding Reinforcement Learning/Machine Learning.
Sajjad is disciplined, meticulous and is a power house when it comes to math, linear algebra, calculus, geometry, mechanical applications, statistical methods, deep learning and Ai. These can be considered his stregnths and I continue to work with him on an ongoing basis.
AVIDMech will provide a bridge between Robotic, AI, and Mechanic.
Jan, 2021 - Menyajikan
•
3 tahun, 10 bulan
Edukasi
Toho University
2009 - 2012
•
3 tahun
Ph. D.
Japan
2009 - 2012
•
3 tahun
Publikasi
Detection of Unstable Periodic Orbits and Chaos Control in a Passive Biped Model
Springer
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.
OPTIMAL MOTION PLANNING OF A PLANAR PARALLEL MANIPULATOR WITH KINEMATICALLY REDUNDANT DOF
Transactions of the Canadian Society for Mechanical Engineering
In this paper, an optimal motion planning algorithm and dynamic modeling of a planar kinematically redundant
manipulator are considered.
HMM-based state classification of a user with a walking support system using visual PCA features
Taylor and Francis
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).
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