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Arailym Serikbay | power engineering | Best Researcher Award

Research assistant at nazarbayev university, Kazakhstan.

Arailym Serikbay Talaskyzy is a Ph.D. candidate in Electrical Engineering at Nazarbayev University, specializing in deep learning, IoT, and smart systems, with a strong academic and leadership background.

Summary:

Arailym Serikbay Talaskyzy is a dedicated Ph.D. candidate in Electrical Engineering at Nazarbayev University, where she has pursued a strong academic trajectory, holding both an M.Sc. in Electrical and Computer Engineering and a B.Sc. in Radio Engineering, Electronics, and Telecommunications. With a passion for technological innovation, Arailym’s research focuses on deep learning, IoT, and smart systems, with an emphasis on their applications in real-world scenarios.

 

Professional Profiles:

Scopus

šŸŽ“ Education :

Arailymā€™s academic journey includes a Masterā€™s in Electrical and Computer Engineering (2019ā€“2021) and a Bachelorā€™s degree in Radio Engineering, Electronics, and Telecommunications (2015ā€“2019) from Nazarbayev University and L.N. Gumilyov Eurasian National University, respectively. Her solid educational foundation is complemented by rigorous training in specialized areas of engineering.

šŸ¢Ā Experience:

Arailym has gained valuable experience as a Teaching Assistant and Research Assistant at Nazarbayev University, where she supports undergraduate and graduate students and conducts cutting-edge research. She has also led projects as a Project Manager at Jauap.kz, where she honed her organizational and leadership skills.

šŸ› ļøSkills:

With expertise in deep learning (TensorFlow), CCNA Switching and Routing, AWS, IoE, and IoT, Arailym is proficient in a range of technical tools and programming languages, including Python, Java, and Matlab. Her multilingual fluency in Kazakh, Russian, and English further enhances her communication abilities in diverse academic and professional environments.

Research Focus :

Ā Arailymā€™s research focuses on the intersection of deep learning, Internet of Things (IoT), and electrical engineering. She explores innovative solutions for improving communication systems, utilizing machine learning models for data analysis, and enhancing automation in various technological applications.

šŸ”¬Awards:

Arailym has been recognized for her academic excellence with several awards, including third place in the Republic Radio Engineering Olympiad (2018) and the Polyglot Olympiad (2013). She also received a Certificate of Merit from the Deputy of the Nur-Sultan city for her contributions to the development of the Nur Otan Party.

Conclusion:

Arailym Serikbay Talaskyzy is a strong candidate for the Best Researcher Award due to her exceptional academic and professional track record, technical expertise, and active contributions to the research community. Her ability to balance leadership roles, technical innovation, and academic excellence, combined with her vision for advancing technology, makes her an excellent fit for this prestigious recognition. With further focus on expanding her publication and collaboration network, Arailym is poised to become a leading researcher in her field.

Ā Publications:

  • Title: High-Voltage Outdoor Insulators’ Performance Analysis: Bridging Real-world and Simulation Studies for Machine Learning Model Training
    Authors: Serikbay, A., Shafiei, S., Nurmanova, V., Bagheri, M.
    Year: 2024
    Citation: 12th International Conference on Smart Grid, icSmartGrid 2024, 2024, pp. 66ā€“71
  • Title: Predictive Analysis of Transformer Faults Through Vibration Signatures and One-Dimensional Convolutional Neural Networks
    Authors: Kural, A., Serikbay, A., Zollanvari, A., Bagheri, M.
    Year: 2024
    Citation: 2024 International Workshop on Artificial Intelligence and Machine Learning for Energy Transformation, AIE 2024, 2024
  • Title: Stacked Ensemble Deep Learning for Outdoor Insulator Surface Condition Classification: A Profound Study on Water Droplets
    Authors: Serikbay, A., Bagheri, M., Zollanvari, A.
    Year: 2023
    Citation: IEEE Access, 2023, 11, pp. 102279ā€“102289
  • Title: CNN-based Classification of Contaminated High Voltage Insulator Surface
    Authors: Serikbay, A., Bagheri, M., Zollanvari, A., Saukhimov, A.A.
    Year: 2022
    Citation: 2022 IEEE International Conference on Environment and Electrical Engineering and 2022 IEEE Industrial and Commercial Power Systems Europe, EEEIC / I and CPS Europe 2022
  • Title: Accurate Surface Condition Classification of High Voltage Insulators based on Deep Convolutional Neural Networks
    Authors: Serikbay, A., Bagheri, M., Zollanvari, A., Phung, B.T.
    Year: 2021
    Citation: IEEE Transactions on Dielectrics and Electrical Insulation, 2021, 28(6), pp. 2126ā€“2133
  • Title: Remote Monitoring of Outdoor High Voltage Insulator using Deep Learning-based Image Processing
    Authors: Baktiyar, A., Baizhan, D., Bagheri, M., Murzabulatov, A., Serikbay, A.
    Year: 2021
    Citation: 21st IEEE International Conference on Environment and Electrical Engineering and 2021 5th IEEE Industrial and Commercial Power System Europe, EEEIC / I and CPS Europe 2021 – Proceedings
  • Title: High Voltage Insulators Condition Analysis using Convolutional Neural Network
    Authors: Serikbay, A., Bagheri, M., Zollanvari, A.
    Year: 2021
    Citation: 21st IEEE International Conference on Environment and Electrical Engineering and 2021 5th IEEE Industrial and Commercial Power System Europe, EEEIC / I and CPS Europe 2021 – Proceeding
Arailym Serikbay | power engineering | Best Researcher Award

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