Jamal Toutouh
Tenured Professor (Profesor Titular De Universidad) at Universidad de Málaga
Malaga, Andalusia, Spain
Summary
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Senior🎓
Top SchoolJamal Toutouh is a tenured professor and MSCA Global fellow split between Universidad de Málaga and MIT, with a decade of experience advancing nature-inspired algorithms for training and optimizing deep neural networks. His research pioneers deep neuroevolution methods applied to generative models (GANs) and recurrent nets, aiming to make state-of-the-art deep learning tractable for challenging real-world problems in cybersecurity and smart cities. He blends rigorous academic credentials (PhD, European Cum Laude) with hands-on innovation from industry-linked roles and a CSAIL affiliation, delivering both theoretical contributions and applied solutions. Notably, his work focuses on co-evolutionary strategies and ensemble approaches to mitigate GAN pathologies—an uncommon intersection of evolutionary computing and modern deep learning.
10 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy (PhD) in Computer Science, European Cum Laude, Doctor of Philosophy (PhD) in Computer Science, European Cum Laude at Universidad de MálagaPostgraduate Master in Information and Computer Sciences, Intelligent Systems, Inteligencia Artifical, Postgraduate Master in Information and Computer Sciences, Intelligent Systems, Inteligencia Artifical at University of Luxembourg
English, French, lenguas bereberes, Spanish
Github Skills (12)
evolutionary-algorithms10
distributed-computing10
machine-learning9
deep-learning8
image-data7
data-augmentation5
generative4
generative-ai4
pytorch3
computer-vision3
artificial-intelligence2
jekyll1
Programming languages (2)
Github contributions (5)
jamaltoutouh/jamaltoutouh.github.io
Apr 2019 - Mar 2021
NeCol Website
Contributions:124 pushes, 1 branch, 1 comment in 1 year 11 months
ALFA-group/lipizzaner-gan
Sep 2019 - Oct 2022
[AAAI 2018] "Towards distributed coevolutionary GANs" by Abdullah Al-Dujaili, Tom Schmiedlechner, Erik Hemberg, Una-May O'Reilly
Contributions:2 reviews, 82 commits, 21 PRs in 3 years 2 months
min-maxevolutionary-algorithmsdeep-learningcoevolutionarymachine-learning
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