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Mrs. Mojgan Sami | Heat Detection | Best Researcher Awardย 

Mrs. Mojgan Sam, University of the West of England, United Kingdom

Mojgan Sami is a Ph.D. student in Big Data and Energy Consumption at the University of the West of England (UWE), Bristol, UK. Her doctoral research focuses on the data-driven estimation of Heat Transfer Coefficients (HTC) in buildings by leveraging IoT sensor and smart meter data, contributing actively to the International Energy Agencyโ€™s Annex 94 on building energy performance data validation. She holds an MSc in Data Science from UWE, where she graduated with distinction, and a BSc in Computer Software Engineering from Isfahan University of Technology, Iran. Mojgan has a strong background in both academia and industry, with over a decade of software development experience, including a leadership role at Digikala. She has published in peer-reviewed journals, including a comprehensive systematic review on machine learning for HTC estimation. Her technical expertise spans Python, C#, .NET Core, Kafka, SQL, and modern DevOps tools, and she is passionate about sustainable technologies, data science, and smart energy solutions.

Professional Profile:

ORCID

Summary of Suitability โ€“ Mojgan Sami for Best Researcher Award

Mojgan Sami is an emerging research talent whose interdisciplinary expertise in data science, software engineering, and energy consumption modeling positions her as a highly deserving candidate for the Best Researcher Award. Currently pursuing a PhD at the University of the West of England (UWE), Bristol, she is contributing to cutting-edge research in smart building energy efficiency using IoT and big data.

๐ŸŽ“ Education

  • ๐Ÿ“˜ PhD in Big Data and Energy Consumption
    University of the West of England (UWE), Bristol, UK
    (Jan 2023 โ€“ Present)

    • Focus: Data-driven estimation of Heat Transfer Coefficient (HTC) using IoT sensors and smart meters.

    • Active in Annex 94 (IEA-EBC) for energy data validation.

  • ๐Ÿ“Š MSc in Data Science
    UWE, Bristol, UK
    (Sep 2021 โ€“ Sep 2022)

    • Graduated with Distinction ๐Ÿ…

    • Thesis: Energy Consumption Analysis in Student Accommodations.

  • ๐Ÿ’ป BSc in Computer Software Engineering
    Isfahan University of Technology, Iran
    (Sep 2006 โ€“ Sep 2010)

    • Final Project: Affine model comparison using RANSAC algorithms.

๐Ÿ’ผ Work Experience

  • ๐Ÿ‘ฉโ€๐Ÿซ Teaching Assistant โ€“ Python Programming
    UWE, Bristol, UK (2023โ€“2024)

    • Supported MSc students in labs on Python and data analytics.

  • ๐Ÿง‘โ€๐Ÿ’ป Lead Software Developer
    Digikala, Tehran, Iran (2018โ€“2021)

    • Led development of scalable affiliate marketing modules.

    • Tech stack: .NET Core, Redis, Kafka, SQL Server.

  • ๐Ÿ’ผ Software Developer
    Payam-e-Mashregh, Isfahan, Iran (2010โ€“2018)

    • Created enterprise software: biometric systems, food ordering, and gateways.

๐Ÿ† Achievements & Honors

  • ๐Ÿ“š First-Author Publication
    Sami, M., & Sierra, F. (2025) โ€“ Systematic Review on ML-based HTC Estimation
    ๐Ÿ”— DOI:10.1016/j.buildenv.2025.113220

    • PRISMA-compliant review of 63 studies on machine learning and sensors for HTC.

  • ๐ŸŽ–๏ธ Graduated MSc with Distinction
    Recognized for academic excellence in Data Science.

  • ๐ŸŒ Contributor to International Research Effort

    • Part of Annex 94 (IEA-EBC): advancing global standards in building energy performance data.

Publicationย Top Notes:

Using Machine Learning (ML) for Heat Transfer Coefficient (HTC) measurement in buildings: A systematic review

Mrs. Mojgan Sami | Heat Detection | Best Researcher Award

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