Amal Boukhdhir
Consultant at TrojAI Inc.- Claim this Profile
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English Professional working proficiency
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French Professional working proficiency
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Bio
Sana Ahmadi
I had the pleasure of working with Amal since September 2018 at the centre de recherche de l'IUGM. I was particularly impressed by Amal's motivation and hardworking personality to meet her goals. She has great skills in several programming languages including Python and Java. She is a great developer in unsupervised learning research areas and analysis of neuroimaging data. She is an absolutely brilliant researcher with a wonderful and kind character. As a colleague, I strongly recommend Amal.
Désirée L.
I worked as a postdoc in the same lab as Amal while she was a PhD candidate on separate projects that had some crossover. Amal is an absolutely brilliant researcher and great to work with. Her communication skills are excellent. She always makes sure her ideas and code are conveyed clearly. Amal also a very self-driven and motivated individual who works extremely hard.
Sana Ahmadi
I had the pleasure of working with Amal since September 2018 at the centre de recherche de l'IUGM. I was particularly impressed by Amal's motivation and hardworking personality to meet her goals. She has great skills in several programming languages including Python and Java. She is a great developer in unsupervised learning research areas and analysis of neuroimaging data. She is an absolutely brilliant researcher with a wonderful and kind character. As a colleague, I strongly recommend Amal.
Désirée L.
I worked as a postdoc in the same lab as Amal while she was a PhD candidate on separate projects that had some crossover. Amal is an absolutely brilliant researcher and great to work with. Her communication skills are excellent. She always makes sure her ideas and code are conveyed clearly. Amal also a very self-driven and motivated individual who works extremely hard.
Sana Ahmadi
I had the pleasure of working with Amal since September 2018 at the centre de recherche de l'IUGM. I was particularly impressed by Amal's motivation and hardworking personality to meet her goals. She has great skills in several programming languages including Python and Java. She is a great developer in unsupervised learning research areas and analysis of neuroimaging data. She is an absolutely brilliant researcher with a wonderful and kind character. As a colleague, I strongly recommend Amal.
Désirée L.
I worked as a postdoc in the same lab as Amal while she was a PhD candidate on separate projects that had some crossover. Amal is an absolutely brilliant researcher and great to work with. Her communication skills are excellent. She always makes sure her ideas and code are conveyed clearly. Amal also a very self-driven and motivated individual who works extremely hard.
Sana Ahmadi
I had the pleasure of working with Amal since September 2018 at the centre de recherche de l'IUGM. I was particularly impressed by Amal's motivation and hardworking personality to meet her goals. She has great skills in several programming languages including Python and Java. She is a great developer in unsupervised learning research areas and analysis of neuroimaging data. She is an absolutely brilliant researcher with a wonderful and kind character. As a colleague, I strongly recommend Amal.
Désirée L.
I worked as a postdoc in the same lab as Amal while she was a PhD candidate on separate projects that had some crossover. Amal is an absolutely brilliant researcher and great to work with. Her communication skills are excellent. She always makes sure her ideas and code are conveyed clearly. Amal also a very self-driven and motivated individual who works extremely hard.
Credentials
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Angular certification
Angular AcademyMay, 2018- Oct, 2024
Experience
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TrojAI Inc.
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United States
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Consultant
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Jan 2022 - Present
TrojAI improves AI robustness, model performance and security against adversarial data poisoning and model evasion attacks. A Techstars Montreal AI company. ► Raised $4M funded runway. ► Leading the development of industry's first AI robustness assessment tool (T2R™) ► Building high-performance team of deep learning specialists We protect your AI in several ways: - Tracking model robustness for a more complete picture of model performance. - Improving both accuracy and robustness metrics for better, more secure AI through. - Protecting deployed models from model evasion attacks both in batch and real-time. - Identifying failure bias in AI models - Auditing your training data with our second-generation approach to identify embedded Trojan attacks, both known and unknown. - Deploying models with confidence, protecting your brand and the global pace of AI innovation.
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Centre de recherche de l'IUGM
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Canada
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Hospitals and Health Care
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1 - 100 Employee
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PhD candidate
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Sep 2015 - May 2021
● Conception and development of scalable fMRI parcellation approaches, working at the voxel resolution for large datasets of 4D fMRI data. ● Exploring how the brain dynamically reorganizes its modular structure over time, rather than extracting a singe individual parcellation for each subject.● Developing unsupervised machine learning pipelines in the context of distributed computing and Linux systems.● Deploying the developed solutions to run in parallel on the high performance clusters of compute canada. ● Python programming (familiarity with mathematics/statistic libraries, e.g. numpy, scikit-learn, scipy and visualization libraries; e.g. matplotlib, plotly), large data manipulation (e.g., pandas).● Experience with Python parallel programming (familiarity with libraries; e.g. joblib and Dask).● Little experience with deep learning models.● Experience with communicating research solutions by attending many international conferences (Queensland, Montreal, Toronto, Oxford, Roma).
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Research Assistant
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May 2019 - Aug 2019
Assisting in the acquisition of functional magnetic resonance imaging data for 6 participants in the UNF ( Unité de neuroimagerie fonctionnelle) team of 6 people.
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Masters internship
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Sep 2012 - Jul 2014
● Development of a new approach called “on the use of machine learning and search-based software engineering for ill-defined fitness function based on artificial neural networks. ● Experience with theoretical and empirical research in the field of software engineering and machine learning in the context of software refactoring. ● Development, testing and running experiments of an algorithm using the java programming language. ● Development of a new approach called “on the use of machine learning and search-based software engineering for ill-defined fitness function based on artificial neural networks. ● Experience with theoretical and empirical research in the field of software engineering and machine learning in the context of software refactoring. ● Development, testing and running experiments of an algorithm using the java programming language.
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Manarate R&D
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Events Services
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1 - 100 Employee
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R&D Intern
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May 2013 - Jun 2013
● Application of the Hidden Marcov Models for the recognition of the American Sign Language. ● Programming languages: C# and C++ ● Application of the Hidden Marcov Models for the recognition of the American Sign Language. ● Programming languages: C# and C++
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LaTICE
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Design Services
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R&D intern
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Jan 2012 - Apr 2012
● Development of an accessible e-learning application which is adaptable and customizable to needs and preferences of blind and partially sighted people. ● Programming languages: Javascript and php ● Development of an accessible e-learning application which is adaptable and customizable to needs and preferences of blind and partially sighted people. ● Programming languages: Javascript and php
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Education
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2015 - 2020
Université de Montréal
Phd in computer sciences, Computational neuroscience -
2012 - 2014
Institut Supérieur de Gestion de Tunis
Master's degree, Computer Science -
2009 - 2012
Ecole nationale supérieure des ingénieurs de Tunis
Licentiate degree, Computer Science
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