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Who am I?
As a dedicated full-time remote employee at DoubleRo's "Elephant Stock" wall art company, I specialize in automating repetitive
data entry tasks like web scraping using Python programming language and Google Apps Script. Additionally, I play an active role
in supporting various departments within DoubleRo, including ART, SEO, and Development, by assisting with their data flow needs.
And, as an academically-driven postgraduate student in Informatics Engineering, I am highly motivated to engage in the
research and development of intelligent systems, encompassing machine learning, reinforcement learning algorithms, data mining,
computer vision, human-machine interaction, and parallel computing. Possessing strong research and communication abilities, I am
a self-starter who is always eager to learn new concepts and consistently strives to excel in any task assigned, aiming to be
recognized for my exceptional performance.
Research interests
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Analysis of machine learning models
Is the process of understanding, diagnosing, and refining machine learning models with the help of interactive visualization, that leads users to improve the performance of their built models and thus to efficiently solve real-world artificial intelligence and data mining problems.
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Parallel genetic algorithms
The parallel genetic algorithms (PGAs) is a prototype of a new kind of a distributed algorithms which are used to solve complex optimization problems, where multiple genetic algorithms are used to solve a single task. All these algorithms try to solve the same task and after they’ve completed their job, the best individual of every algorithm is selected, then the best of them is selected, which is the solution to a problem. These genetic algorithms do not depend on each other, as a result, they can run in parallel, taking advantage of a multicore CPU. Parallel genetic algorithms are useful especially when a task is difficult to solve or an individual is a complex entity.
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Computer vision-based object detection
Computer vision is regarded with the theory behind artificial systems that elicit information from images. The image data can take many forms, such as views from multiple cameras, video sequences, multi-dimensional data from a 3D scanner device, or medical scanning device. Examples of computer vision include scene reconstruction, Image restoration , object detection, video tracking, 3D pose estimation, motion estimation, and 3D scene modeling.
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Parallelsim of deep learning models
This area focuses on scaling up machine learning, data mining, especially for massive datasets. In this area, several programming environments and frameworks have been built for dealing with multithreading (e.g., OpenMP), multiprocessing (e.g mpi), many-cores(e.g., OpenCL, CUDA, OpenACC). Parallel techniques are used to scale up AI algorithms, using one of these frameworks, and run them on clusters, many-cores, or specialized accelerators.
Publications
Published in: 2020 9th Mediterranean Conference on Embedded Computing (MECO) - (IEEE)
Get the articlePublished in: 2020 14th International Symposium "Intelligent Systems - (Elsiever)
Get the articlePublished in: 2020 XXIII International Conference on Soft Computing and Measurements (SCM) - (IEEE)
Get the articlePublished in: 2021 II International Conference on Neural Networks and Neurotechnologies (NeuroNT) - (IEEE)
Get the articlePublished in: 2022 II International Conference on Neural Networks and Neurotechnologies (NeuroNT) - (IEEE)
Get the articleConferences
Budva, Montenegro June 8-12, 2020
MECO
The 9th Mediterranean Conference on Embedded Computing MECO'2020 8th International Conference on Cyber-Physical Systems and Internet-of-Things CPS&IoT'2020
December 10th - 11th, 2020
MICSECS
At the Anniversary 11th Majorov International Conference on Software Engineering and Computer Systems
July 6-9 2020
Hydra
Concurrent and distributed computing conference
July 6-9 2020
SPTDC
concurrent and distributed computing conference
June 28 2020
SCM
scientific-practical conference
December 23 2020
ISC
International Scientific Conference of Students, Postgraduates and Young Scientists
June 16 2021
NeuroNT
International Conference on Neural Networks and Neurotechnologies
June 16 2022
NeuroNT
International Conference on Neural Networks and Neurotechnologies
Lectures
Education
2011
Bachelor
computer Science
2021
Master of Science
computer science and knowledge discovery
Work experience
2010-2011
Database specialist
Majeed Desiel Truck company
2012-2013
Information officer
Duhok water and swererage directorate
2013-2014
Database Designer
Duhok national meusum
2014-2017
Monitoring and evaluation officer
International Rescue Committee
2018-2020
Freelancer
Virtual assistant
2020-2021
Research and Development
Computer science department at electrotechni- cal university of Saint-Petersburg(LETI)
2021- Now
Data specialist
Development department at DoubleRo 'Elephant Stock" company
Awards
2020
Honor of best international student in computer science and Knowledge discovery(Outstanding performance)
Electrotechnical University of Saint-Petersburg(LETI)
2020
Computer Program Registration (Optimization program for performing arithmatic operations with large numbers based on pretrained neural network)
Federal Service for Intelectual Property (RosPatent) of Russian Federation