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Project for Sajjad T. -- 2
“Great work! Sajjad is proficient in academic writing. He is also a friendly person and very timely.”Gjergj C. há 3 semanas
solving second order differential equation in matlab
“He is intelligent, dedicated and most importantly very honest person.”Gul W. há 4 semanas
differential equation in Matlab
“[login to view URL] is intelligent and hard working. Quickly grasp the problem and sort out its solution”Gul W. 1 mês atrás
“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.”Gul W. há 2 meses
control system design (m. file code fix), PSO algorithm with simulink.
“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”Geok G. há 2 meses
MATLAB code of a Algorithm
“Very Professional and will hire him again and again in future.”Usman Bashir T. há 2 meses
Ph. D.2009 - 2012 (3 years)
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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