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eskilstuna, sweden
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Se unió el diciembre 28, 2015
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Hamidur R.

@life2jib

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$20 USD / hora
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eskilstuna, sweden
$20 USD / hora
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Electrical Eng.

I am a new new member of this site..! Therefore I don't have any ratings yet. My major working areas are Computer Vision, Image Processing and Signal Processing. I have more that 13 years experience in MATLAB programing and many real time work experience. I believe in punctuality, responsibility, hard working and enthusiasm. I would like to deliver the output before dead line with maximum efficiency. Besides my major working areas I have also about 15 years experience on creative writing, data entry , excel working and other related works.

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Experiencia

Ph.D student

Mälardalens University
dic 2015 - Presente
PhD student

Research Engineer

Mälardalens University
feb 2015 - nov 2015 (9 meses, 1 día)
I was working as a research engineer in the department of computer science in the areas of Artificial Intelligence, Computer Vision, Image processing.

Educación

Doctoral Student

Mälardalens högskola, Sweden 2015 - 2016
(1 año)

Masters in Electrical Engineering (Signal Processing)

Blekinge Tekniska Högskola, Sweden 2010 - 2012
(2 años)

Bachelor of Science in Electronics and Telecommunication Engineering

North South University, Bangladesh 2004 - 2008
(4 años)

Publicaciones

Object Duplication in an Image using Texture Synthesis Technique

International Journal of Engineering and Technology
Texture synthesis is one of the most attractive and modern image processing techniques in the area of computer vision. Now a day Texture Synthesis is used in many applications especially to show more number of objects in an image itself. Sometimes we see more objects in an image than the actual number of objects in many Hollywood films or in a public gathering place where Texture Synthesis technique is used.

Finding the Epipoles of a Sequence of Images for Forward Moving Camera

International Journal of Engineering and Technology
Finding epipoles of a sequence of images has been an important topic of considerable research in the field of computer vision. Epipole is the main feature in epipolar geometry which has enormous demand in computer vision. In most of the cases epipole is estimated from two images and the images are taken by two stationary cameras or by one stationary camera from two different locations.

Performance Comparison of Modified LMS and RLS Algorithms in De-noising of ECG Signals

International Journal of Engineering and Technology
The electrocardiogram (ECG) is generally used for the diagnosis of cardiovascular diseases. In many of the biomedical applications it is necessary to remove the noise from ECG recordings. Several adaptive filter structures are proposed for noise cancellation. The main objective of our work is to develop an adaptive algorithm to remove the contaminating signal and to obtain original ECG data.

A Study in 3D Structure Detection Implementing Forward Camera Motion

Blekinge Institute Of Technology-Sweden
In this thesis we have studied detection of 3D structures having a forward camera movement which has strong influence of translation along the optical axis of the camera. During the forward movement the camera might undergoes rotation and translation. We have used “Plane plus Parallax” algorithm to cancel out this unwanted rotation.

Intelligent Driver Monitoring Based on Physiological Sensor Signals: Application Using Camera

IEEE 18th International Conference on Intelligent Transportation Systems
In this paper, we review the latest developments in using camera images for non-contact physiological parameters that provides a resource for researchers and developers working in the area.

Driver Monitoring in the Context of Autonomous Vehicle

The 13th Scandinavian Conference on Artificial Intelligence
This papers provides a overview on autonomous vehicles and un-obstructive driver monitoring approaches that can be implemented in future autonomous vehicles to monitor driver e.g., to diagnose and predict stress, fatigue etc. in semi-automated vehicles.

Non-Contact Physiological Parameters Extraction Using Camera

1st Workshop on Embedded Sensor Systems for Health through Internet of Things (ESS-H IoT)
This papers provides an overview on autonomous vehicles and un-obstructive driver monitoring approaches that can be implemented in future autonomous vehicles to monitor driver e.g., to diagnose and predict stress, fatigue etc. in semi-automated vehicles.

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