I am Amira Ghezal, an Artificial Intelligence Engineer specializing in hyperspectral imaging, machine learning, and advanced image and signal processing. I collect real-world data and work on automated detection systems and non-destructive sensing, supported by doctoral-level research focused on Varroa destructor detection and viscosity analysis of liquid foods. I thrive at turning complex sensor data into practical, data-driven solutions through rigorous analysis and collaboration across disciplines. I design robust models and deployable tools by combining data science, ML/DL techniques, and domain knowledge, always aiming to bridge the gap between lab research and real-world applications.

Amira Ghezal

I am Amira Ghezal, an Artificial Intelligence Engineer specializing in hyperspectral imaging, machine learning, and advanced image and signal processing. I collect real-world data and work on automated detection systems and non-destructive sensing, supported by doctoral-level research focused on Varroa destructor detection and viscosity analysis of liquid foods. I thrive at turning complex sensor data into practical, data-driven solutions through rigorous analysis and collaboration across disciplines. I design robust models and deployable tools by combining data science, ML/DL techniques, and domain knowledge, always aiming to bridge the gap between lab research and real-world applications.

Available to hire

I am Amira Ghezal, an Artificial Intelligence Engineer specializing in hyperspectral imaging, machine learning, and advanced image and signal processing. I collect real-world data and work on automated detection systems and non-destructive sensing, supported by doctoral-level research focused on Varroa destructor detection and viscosity analysis of liquid foods. I thrive at turning complex sensor data into practical, data-driven solutions through rigorous analysis and collaboration across disciplines.

I design robust models and deployable tools by combining data science, ML/DL techniques, and domain knowledge, always aiming to bridge the gap between lab research and real-world applications.

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Experience Level

Expert
Intermediate
Intermediate
Intermediate
Intermediate

Language

Arabic
Fluent
English
Advanced
French
Intermediate
German
Beginner

Work Experience

Doctoral Researcher at Technische Universität Kaiserslautern
July 1, 2021 - Present
Doctoral research focused on hyperspectral imaging, machine learning, and non-destructive sensing for automated Varroa destructor detection and liquid food viscosity analysis.
Research Assistant at Technische Universität Chemnitz
June 1, 2018 - November 1, 2018
Electrochemical nitrite sensing using ION/rGO-modified electrodes, contributing to peer-reviewed publications: Electrochemical Detection of Nitrite Using Screen-Printed Graphite Electrodes Modified by ION/rGO (2019); Electrochemical Detection of Nitrite Based on Iron Oxide – Reduced Graphene Oxide Nanocomposite Modified Electrode in Real Water (2025).

Education

PhD in Electrical Engineering and Information Technology at Technische Universität Kaiserslautern
January 1, 2021 - December 27, 2025
Master of Research in Electronics Microsystems and Embedded Systems at Higher Institute of Applied Science and Technologies of Sousse / TU Chemnitz
January 1, 2016 - January 1, 2018
Bachelor of Science in Electronics, Electrical Engineering and Automatism at Higher Institute of Applied Science and Technologies of Sousse
January 1, 2013 - January 1, 2016

Qualifications

Add your qualifications or awards here.

Industry Experience

Software & Internet, Life Sciences, Media & Entertainment, Professional Services