Manal Helal

Lecturer at University of Hertfordshire

United Kingdom
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Summary

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Senior
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Top School
Manal Helal is a lecturer and computational scientist with 14 years of experience applying numerical analysis, high-dimensional tensor modeling and AI to real-world problems across academia and industry. She combines parallel and cloud computing expertise with signal processing, graph-based modeling and stream processing to accelerate data reshaping, sparse-array analytics and machine learning workflows. Her research spans computational biology, source separation for audio, and clinical data linkage—work that has moved from HPC clusters to AWS GPU instances. With a PhD from UNSW and teaching roles at multiple UK universities, she blends hands-on implementation (including migrating 3D reconstruction to cloud GPUs) with curriculum delivery in networking and mobile computing. Colleagues know her for bridging deep mathematical methods and practical engineering to make large-scale, multidisciplinary data projects reproducible and deployable.
code14 years of coding experience
job14 years of employment as a software developer
bookMsc, Computer Science, Msc, Computer Science at The American University in Cairo
bookUNSW Sydney
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Stackoverflow

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Github Skills (52)

directed-acyclic-graph9
graph9
neo4j-database9
neo4j9
cypher9
database8
graphdb8
graph-database8
graph-drawing8
graph-algorithms8
nosql8
decomposition7
graphql6
driver6
wordnet5

Programming languages (6)

C#JavaC++Jupyter NotebookCythonPython

Github contributions (5)

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Contributions:3 commits, 3 pushes in 11 days
mhelal/COMM054

Oct 2019 - May 2023

Contributions:3 pushes, 1 branch in 3 years 7 months
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