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IndabaX 2024
IndabaX Tunisia is a local Deep Learning Indaba that brings together professionals and AI enthusiasts to exchange ideas, network, and learn about the latest developments in the field of Artificial Intelligence. At this two-day event, attendees can expect to engage in keynote speeches, hands-on workshops, and a 20-hour hackathon. For its 5th edition, the IEEE Sup'Com Student Branch is hosting this event to meet your expectations and offer a variety of opportunities to expand your network and deepen your understanding of the AI field.

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In partnership with ZINDI

Zindi is the first data science competition platform in Africa. Zindi hosts an entire data science ecosystem of scientists, engineers, academics, companies, NGOs, governments and institutions focused on solving Africa’s most pressing problems.

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20-hour hackathon for you to test your abilities

Get ready for a 20-hour hackathon presented by Udini and hosted on Zindi! Join us in pushing the boundaries of innovation and making a tangible difference in the world of dentistry. Ready to bite into this opportunity?

Meet Our Speakers

Firas Ben Hassan

Lead Data Scientist
at Allianz

Biography:

Firas, Deputy Head of Data Science at Allianz Technology, leads innovative solutions and manages AllianzGPT's development. He lectures on AI at Technical University of Munich, connecting academia and industry. With a master's in AI from the University of Passau, he blends academic prowess with practical expertise gained from Sup'Com, Tunis.

Firas Ben Hassan

Lead Data Scientist at Allianz

Firas is the Deputy Head of Data Science Services at Allianz Technology, where he plays a pivotal role in steering his data science team towards innovative solutions. With a strategic mindset, Firas also holds the mantle of Program Manager for AllianzGPT, orchestrating the Large Language Models platform's development to ensure it meets the cutting-edge standards of AI assistance in the insurance and financial services sector.
A zealous advocate for knowledge sharing and AI education, Firas is a respected AI guest lecturer at the Technical University of Munich since December 2023.
His expertise in the field of artificial intelligence and data science has not only shaped the minds of aspiring professionals but has also been a bridge connecting academic theory with industry practice. As a sought-after speaker, Firas has graced international stages, including prestigious conferences such as those hosted by Reuters, where he has shared insights on the transformative power of AI and data analytics in modern business practices.
Firas's academic journey is as impressive as his professional endeavors. An alumnus of the Higher School of Communications of Tunis (Sup'Com). Furthering his specialization in the field of AI, Firas pursued and completed a master's degree at the University of Passau, Germany, where he honed skills that would later become pivotal in his role at Allianz.

Amal Rannen Triki

Research Scientist
at Google DeepMind

Biography:

Amal is a senior research scientist at Google DeepMind working on improving neural network learning efficiency, and a core organiser of the Deep Learning Indaba since 2019.

Amal Rannen Triki

Research Scientist at Google DeepMind

Amal is a research scientist in the field of machine learning and artificial intelligence. Her research is driven by increasing accessibility to modern technologies and has been focused on improving neural networks efficiency in the large sense.
Her works cover data efficiency through regularisation and specialised objectives, computational efficiency leveraging continual and online learning, and efficient deployment with model compression. Amal is currently a senior research scientist at Google DeepMind.
She joined DeepMind in 2019. Since then, she has additionally been a member of the executive committee of the Deep Learning Indaba, joining forces with this amazing community to Strengthen African Machine Learning and Artificial Intelligence. She has also been an organiser of the Conference on Lifelong Learning Agents (CoLLAs) for the last two years.
Amal holds a PhD from the department of Electrical Engineering (ESAT) of KU Leuven (Belgium). Her PhD work was supervised by Prof. dr. Matthew B. Blaschko and partly conducted in Yonsei University (South Korea).
Before starting her research journey, she pursued engineering studies in CentraleSupelec (France) supported by a Tunisian state scholarship.

Yasmine Ben Ayed

Research Engineer
at InstaDeep

Biography:

Yasmine Ben Ayed Yasmine Ben Ayed is a Research Engineer at InstaDeep with a background in Mathematical Modelling. She is quite passionate about joining both worlds of biology and Machine Learning. Yasmine worked on protein generation with LLMs. Her recent project involved around the world of Genomics using AgroNT to resolve intricate DNA task.

Yessine Khanfir

AI Research Engineer
at InstaDeep

Biography:

Yessine Khanfir got his Master’s Degree in computer science, He graduated and joined InstaDeep in 2022 as an AI Research Engineer. He's been working on cutting edge NLP and BioAI research, to solve some of the most complex challenges in artificial intelligence and biology.

Omar Abou Saada

Computational Geneticist
at InstaDeep

Biography:

Computational Geneticist at the Instadeep Paris office, with a background in population genetics and bioinformatics software development, his PhD was in the development of a polyploid phasing tool and its application to populations of polyploid organisms. He's now part of the GenomicsAI team where he uses the Nucleotide Transformer to develop solutions to complex problems in genomics.

Maša Roller

Computational Geneticist
at InstaDeep

Biography:

Maša, a Senior Computational Geneticist at InstaDeep, transitioned from experimental molecular biology to computational genomics. After earning her PhD in Zagreb, she worked at EMBL-EBI in Cambridge, UK. Since 2023, she's been at InstaDeep, applying large language models to genomics, bridging biology and AI.

Maša Roller

Senior Computational Geneticist at InstaDeep

Maša is a Senior Computational Geneticist at InstaDeep, working to bridge the gap between genomics and AI. She first received a Masters Degree at the University of Zagreb (Croatia) in experimental molecular biology, but soon discovered a passion for leveraging computational approaches to analyse large genomics datasets.
After receiving a PhD in computational genomics in Zagreb, she worked at the European Bioinformatics Institute (EMBL-EBI) in Cambridge, UK.
Having already bridged the gap between biology and computation, she set upon a new challenge to further bridge the gap to AI. She has worked at InstaDeep since 2023 helping to apply large language models to genomics.

Achraf Ben Hamadou

R&D Director & Co-founder
at Udini

Biography:

Achraf Ben-Hamadou received his Ph.D. from the Institut National Polytechnique de Lorraine in 2011. Currently, he is a senior researcher in computer science at the Digital Research Center of Sfax, Achraf is also the co-founder of Udini

Achraf Ben Hamadou

R&D Director & Co-founder at Udini

Achraf Ben-Hamadou received his Ph.D. from the Institut National Polytechnique de Lorraine in 2011.
From 2013 to 2017, he was a computer vision researcher at Valeo's Driving Assistance Research Center in France, where he worked on autonomous driving and AI projects.
Currently, he is a senior researcher in computer science at the Digital Research Center of Sfax, focusing on machine learning for visual and numerical data.
Achraf is also the co-founder of Udini, a startup offering AI solutions for dentistry, where he leads AI development.

Oussama Smaoui

AI Engineer
at Udini.ai

Biography:

Oussama Smaoui, an AI Engineer at Udini.ai, specializes in 2D/3D computer vision, boasting 3+ years of experience. Notably, during an internship at Ecole Centrale de Lyon, he concentrated on crafting 3D object models for robotic simulations.

Oussama Smaoui

AI Engineer at Udini.ai

Oussama Smaoui is an AI Engineer at Udini.ai, specializing in 2D/3D computer vision, with over 3 years of experience in artificial intelligence.
He graduated from the Higher School of Communication of Tunis and is skilled in the entire AI development process, from ideation to deployment, focusing on creating innovative solutions.
During his career, Oussama completed a significant internship at Ecole Centrale de Lyon, where he focused on creating 3D models of objects for robotic simulations.
He is passionate about research and development and has contributed to creating important datasets and challenges, such as Teeth3DS and the 3DTeethSeg'22 challenge, which involve analyzing 3D scans of teeth.

Firas Bouzguenda

AI Engineer
at Udini.ai

Biography:

Firas Bouzguenda is an AI Engineer specializing in 2D and 3D computer vision at Udini.ai, bringing over 4 years of expertise to the table.
He showcases proficiency in the management of AI web services using cutting-edge technologies like AWS, RabbitMQ, and Kubernetes.

Firas Bouzguenda

AI Engineer at Udini.ai

Firas Bouzguenda is an AI Engineer specializing in 2D and 3D computer vision at Udini.ai, bringing over 4 years of expertise to the table.
He holds a degree from the National School of Electronics and Telecommunications of Sfax and possesses a thorough understanding of AI development, from inception to deployment. Throughout his career, Firas demonstrates exceptional skills in the analysis and processing of both 2D images and 3D scans.
Additionally, he showcases proficiency in the management of AI web services using cutting-edge technologies like AWS, RabbitMQ, and Kubernetes to ensure the smooth scalability of deployments.
Firas has made significant contributions in implementing deep learning for lip-reading during his graduation internship at the Digital Research Center of Sfax.

Amal Tarifa

Assistant Professor
at ENSI

Biography:

Dr. Amal Tarifa is an esteemed Assistant Professor at ENSI (National School of Computer Science), where she currently excels as a dedicated educator and researcher specializing in AI, Machine Learning, Deep Learning, and Natural Language Processing (NLP).

Amal Tarifa

Assistant Professor at ENSI

Dr. Amal Tarifa is an esteemed Assistant Professor at ENSI (National School of Computer Science), where she currently excels as a dedicated educator and researcher specializing in AI, Machine Learning, Deep Learning, and Natural Language Processing (NLP). With over 6 years of experience in IT instruction and over 9 years in the AI field, Dr. Amal Tarifa is recognized for her expertise and leadership in the realm of AI and data sciences. During her PhD, she played a pivotal role in developing an Agent-based application to evaluate personalization within web applications using various innovative algorithms. Before joining ENSI, Dr. Amal Tarifa was a Professor and Researcher at ESPRIT from 2018 to 2023. She pioneered active learning pedagogy and developed course materials covering SQL, data mining, BERT, GANs, and supervised engineering thesis projects on deep learning algorithms. She also collaborated internationally to develop tools for finance and healthcare sectors. Besides, she actively participated in prestigious events such as the NVIDIA GTC conference 2022-2024 as a member of the instructor team. Dr.Amal Tarifa is an NVIDIA ambassador. She is a member of the scientific community for many renowned journals and conferences. Dr. Amal Tarifa has also made significant industry contributions, having previously served as a Research Intern at HEUDIASYC-UTC-COMPIEGNE, where she developed machine learning algorithms for educational assessment, and as a Freelance researcher at TUNPIXEL, where she designed algorithms for recruitment processes. Her professional journey also includes a tenure as a Computer Programmer at DALEELTEQ, during which she designed and developed Spring based applications for the national export promotion centers. Her dedication to advancing the frontiers of AI through education, research, and industry collaboration underscores her status as a leading figure in the field of data science and artificial intelligence.

Mohamed Mongi Benyaiche

CTO and co-founder
of Curves and Smile

Biography:

An Energy Engineer with over 12 years of experience at the Ministry of Energy, transitioned into software development, particularly Python, through self-learning. In 2022, he founded his consulting firm focusing on energy and digitalization. He's also the CTO and co-founder of Curves and Smile, an AI startup revolutionizing dental treatments.

Mohamed Mongi Benyaiche

CTO and co-founder of Curves and Smile

Mr. Mohamed Mongi Benyaiche is an energy engineer with over 12 years of experience working in the Ministry of Energy. Throughout his career, he has developed a keen interest and expertise in software development, particularly in Python, through self-learning and dedication.
In 2022, he founded his consulting firm specializing in energy and digitalization. As a consultant, he assists startups in crafting and implementing their digital strategies.
He is also the CTO and co-founder of Curves and Smile, a startup specializing in computer vision, machine learning, and deep learning.
Their web application automates dental treatments, providing dentists with dedicated AI tools. This innovative approach revolutionizes the dental industry, offering efficient and precise solutions for dental practitioners.
In addition to his professional career, he has been engaged in civil society.
Since 2010, he has been actively contributing to numerous projects and eventually assumed the role of president of the local chapter of JCI Rades in 2018. Furthermore, he has leveraged his expertise to become a JCI trainer specializing in soft skills, further enriching his contributions to personal and professional development initiatives.

David Drakard

Senior Research Engineer
at InstaDeep

Biography:

David Drakard currently leads the RNA and Auto Lab teams. A team dedicated to integrating BioNTech's wet labs with AI to accelerate discoveries. He has a Master's degree in theoretical physics from the University of Durham. He is also a member of the Machine Learning Collective.

David Drakard

Senior Research Engineer at InstaDeep

David is a Senior Research Engineer at InstaDeep. He currently leads the RNA and Auto Lab teams. The RNA team's objective is to use deep learning to uncover new fundamental science in molecular biology, with a focus on RNA immunotherapy, in partnership with BioNTech.
The Auto Lab team integrates BioNTech's wet labs with AI to accelerate discoveries. Before joining InstaDeep David held leadership positions at a range of software technology companies.
He has a Master's degree in theoretical physics from the University of Durham. He is also a member of the Machine Learning Collective.

Program Outline
18 & 19 May, 2024



Saturday 18th

08:00 - 9:00

09:00 - 9:30

09:30 - 10:00

    10:00

10:00 - 10:30

10:30 - 11:00

11:00 - 11:30

11:30 - 12:00

12:00 - 13:30

Parallel Workshops

  • “Computer Vision Algorithms” - By Mohamed Mongi Benyaiche

  • “From NLP to NLU (Generative Ai with LLMS)” - By Amal Tarifa

  • “AgroNT: Foundational LLMs for Edible Plant Genomes” - By Yasmine Ben Ayed, Yessine Khanfir & Omar Abou Saada

13:30 - 15:00

15:00 - 15:30

15:30 - 17:00

    17:00

20:00 - 21:00





Sunday 19th


02:00 - 03:00

09:00 - 09:30

    13:00

13:00 - 14:00

14:00 - 15:00

15:00 - 15:30

15:30 - 16:00

poster 1 poster 2 poster 3 poster 4 poster 5

Poster Session

Dear PhD Students,

For the first time in IndabaX Tunisia we offer you the opportunity to share your AI research, connect with peers, and learn from industry leaders. Your insights are crucial in shaping the future of AI.
Don't miss out on this chance to be part of a vibrant community dedicated to advancing AI research and fostering meaningful connections.

See you at IndabaX Tunisia 2024!

If you're a PhD student and want to present your AI related research,
reach out through this form

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Frequently Asked Questions

IndabaX

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Our Partners

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The Tunis Higher School of Communications is the main training school for telecommunications engineers in Tunisia, occupying the top places for the national competition for access to engineering schools in Tunisia.

SUP'COM

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InstaDeep is a pioneer in decision-making AI, driven by human values & the belief that AI can help everyone. It specialises in applying RL to tackle complex challenges & empower businesses to realise the benefits of AI.

InstaDeep

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Zindi is the first data science competition platform in Africa. Zindi hosts an entire data science ecosystem of scientists, engineers, academics, companies, NGOs, governments and institutions.

ZINDI

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The Deep Learning Indaba is an annual conference that gathers the African machine learning and artificial intelligence community to foster collaboration, education, and innovation.

INDABA

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Udini is a deep tech startup specializing in AI applications within dentistry. With expertise spanning AI, dental clinics, and cloud computing, Udini is the ideal partner for companies aiming for automated, innovative solutions in dental medical software.

Udini

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The Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ) or German Agency for International Cooperation is a German federal enterprise that provides services in the field of international development cooperation.

GIZ

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