Faiga Alawad
Assistant Professor at Western Norway University of Applied Sciences
Haugesund, Norway
Summary
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Senior🎓
Top SchoolFaiga Alawad is an Assistant Professor and researcher with nine years of experience spanning academia and industry, combining a PhD-level focus on IoT and machine learning with hands-on roles in software engineering, testing, and network operations. With an MSc in Computer Science from the University of Milan (110 e Lode) and a BSc in Communication Engineering from the University of Khartoum, she bridges signal processing, probabilistic AI, and practical system delivery using Python, C++, C#, and JavaScript. Her career includes research positions at NTNU and Simula Metropolitan, plus practical R&D and test engineering roles that inform her pragmatic approach to applied research and teaching. She has tutored digital sound processing and supervised communication labs, reflecting an ability to translate complex theory into classroom and product-ready solutions. Based in Haugesund, Norway, she is comfortable moving between low-level network and audio engineering details and higher-level statistical modeling—an unusual mix that strengthens her work on IoT systems.
9 years of coding experience
8 years of employment as a software developer
University of MilanBachelor of Science (BSc), Communication engineering, GPA 7.83, Bachelor of Science (BSc), Communication engineering, GPA 7.83 at University of KhartoumNorwegian University of Science and Technology
English, Arabic, Italian, Norwegian
Stackoverflow
1reputation
0reached
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Github Skills (28)
ui-components9
artificial-neural-networks9
python9
machine-learning9
gradio-interface9
data-visualization9
generative-model8
data-analysis8
deep-learning8
gradio8
visualization8
architecture8
data-science8
feature-extraction7
artificial-intelligence7
Programming languages (2)
Github contributions (5)
Faiga91/room-occup
Feb 2023 - Jul 2023
Contributions:33 PRs, 143 pushes, 21 branches in 5 months
simulamet-host/video_analytics
Jan 2023 - Sep 2024
Video and images preprocessing and feature extraction.
Contributions:24 PRs, 252 pushes, 29 branches in 1 year 7 months
feature-extractionpreprocessingaction-recognitioncomputer-visiondeep-learning
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