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About

IndabaX 2025

IndabaX Tunisia is a local chapter of the Deep Learning Indaba, bringing together professionals and AI enthusiasts to connect, share ideas, and explore the latest advancements in Artificial Intelligence.

This two-day event offers attendees an immersive experience with inspiring keynote talks, interactive workshops, and an intense hackathon.

For its 6th edition, the IEEE Sup'Com Student Branch is organizing this event to exceed expectations, providing valuable opportunities to grow your network and enhance your expertise in Artificial Intelligence.

Presented to you by

Poster Session

Dear PhD Students,

Join us at IndabaX Tunisia 2025 to share your AI research, connect with peers, and learn from industry leaders. This is your opportunity to showcase your innovative projects, gain valuable feedback, and engage with a vibrant community passionate about advancing AI.

Don’t miss the chance to be part of an event that fosters collaboration and drives the future of AI forward.

See you at IndabaX Tunisia 2025!

If you're a PHD student and want to present your AI related reseach,

reach out through this form

Meet Our Speakers

Mourad Telmini

Professor of Physics
at University of Tunis El Manar

Biography:

Mourad Telmini is a Professor of Physics at the University of Tunis El Manar and Director of the LSAMA lab. He specializes in quantum physics, ultrafast laser control, and quantum computing, and collaborates with international universities as a visiting researcher.

Mourad Telmini

Professor of Physics at University of Tunis El Manar

Mourad Telmini earned a PhD in Atomic Physics from the University of Paris-Sud (Paris-Saclay) in 1993. He has been President of the Tunisian Physical Society (2005–2007), member of the C13 commission of the International Union for Pure and Applied Physics (2006–2014), Director General of the National Center for Nuclear Science and Technology (2010–2012), and Vice-Chair of the African Commission on Nuclear Energy (2011–2014). Presently, he serves as Professor of Physics at the University of Tunis El Manar, Director of the Research Laboratory on Atomic and Molecular Spectroscopy & Applications (LSAMA), Coordinator of the Tunisian Quantum Network QUANTUN, and President of the Tunisian Metrology Association. He is a visiting professor and researcher in several universities (Paris-Saclay, Le Havre-Normandy, University of São Paulo, University of South Africa, and Purdue University). His main research topics include: Quantum Physics in atomic and molecular systems, especially Rydberg states; Coherent control of molecular processes with ultra-short laser pulses; Coherent transport of cold atoms and Bose-Einstein condensates in moving optical lattices; and Quantum computing for molecular systems.

Nesrine Chehata

Senior Lecturer in Geospatial & AI for Earth Observation

Biography:

Dr. Nesrine Chehata, Senior Lecturer at Bordeaux INP, specializes in geospatial AI for Earth Observation. She leads AGEOS and FNACC, advancing open geodata, climate resilience, and space tech for sustainable cities and development in Africa.

Nesrine Chehata

Senior Lecturer in Geospatial & AI for Earth Observation

HDR. Dr.-Ing. Nesrine Chehata, Senior Lecturer at Bordeaux INP, is an expert in geospatial technologies and artificial intelligence for Earth Observation and the environment. She has worked at CNES (the French Space Agency), IGN (the French National Mapping Agency), and IRD-Tunisia (French Research and Development Institute). She also serves as an expert for the European Space Agency’s Environment Group. Since 2016, she has co-founded and presided over AGEOS, the African Association for Geospatial Development, where she actively promotes geospatial technologies across Tunisia and Africa, building capacity through engagement with public institutions, local authorities, students, and children. A strong advocate for open geographic data, she has contributed to inclusive governance, innovation, and entrepreneurship by promoting the reuse of open geodata. She leads hackathons focused on open geodata, artificial intelligence, and climate change adaptation. She also supports startups and companies in the climate-oriented geospatial sector. Since 2021, she has served as President of the National Forum on Climate Change Adaptation (FNACC) and currently chairs the UNESCO Chair in Climate Change Adaptation at Bordeaux INP, France. Through these roles, she highlights the importance of space-based technologies in climate action and supports local initiatives to build sustainable and resilient African cities .

Amine Kerkeni

Head of Engineering
at InstaDeep

Biography:

Amine leads Applied AI at InstaDeep, using AI to solve real-world problems. A former software engineer, he holds master's degrees in Engineering and Business.

Amine Kerkeni

Head of Engineering at InstaDeep

Amine is leading the Applied AI department at InstaDeep. He joined the company eight years ago after a career in software development where he lead engineering teams in various industries (semiconductor, consumer electronics, investment banking). Initially, Amine started deep learning and AI as a hobby, but ended up dropping everything to pursue his goal of deploying artificial intelligence to solve real life problems. He is driven by the ambition of replacing classic operational research techniques with AI. He has a Master of Engineering in software and a Master in Business Administration. .

Aymen Khouja

Machine Learning Engineer
at InstaDeep

Biography:

Aymen, a Machine Learning Engineer at InstaDeep Ltd. and ESSAI graduate, builds scalable AI solutions in computer vision, reinforcement learning, and genomics. He also promotes innovation as a former Chairman of the ESSAI Machine Learning Club.

Aymen Khouja

Machine Learning Engineer at InstaDeep

Aymen is a Machine Learning Engineer at InstaDeep Ltd., with a focus on solving real-world problems through cutting-edge AI solutions. He holds an engineering degree from the National School of Statistics and Information Analysis (ESSAI). Aymen brings a versatile skill set rooted in computer vision, reinforcement learning, and genomics, applying advanced techniques to build robust, scalable systems. Beyond his technical work, Aymen is an active voice in the AI community—previously serving as Chairman of the ESSAI Machine Learning Club, where he led initiatives to foster collaboration, innovation, and education in the field.

Wiem Khlifi

AI Research Engineer
at InstaDeep Ltd

Biography:

Wiem Khlifi, AI Research Engineer at InstaDeep Ltd. and ENSI graduate, specializes in reinforcement learning, federated learning, and NLP. She has contributed to libraries like Jumanji and MAVA, published in top conferences, and actively supports the AI community.

Wiem Khlifi

AI Research Engineer at InstaDeep Ltd

Wiem Khlifi is an AI Research Engineer at InstaDeep Ltd., specializing in multi-agent reinforcement learning. She holds an M.Sc. in Computer Science from the National School of Computer Sciences (ENSI). A versatile and research-driven professional, Wiem's expertise spans RL, federated learning, and NLP, where she has contributed to several open-source libraries such as Jumanji and MAVA and co-authored multiple papers accepted at top-tier conferences. Beyond her technical work, she’s an active member of the AI community—engaging in lecturing, judging, and previously serving as Vice Chairwoman of the IEEE ENSI CIS Chapter.

Imen Jendoubi

AI Research Engineer
at InstaDeep

Biography:

Dr. Imen Jendoubi, AI Research Engineer at InstaDeep and McGill Ph.D. graduate, specializes in reinforcement learning for complex systems and actively fosters future AI talent through university lectures.

Imen Jendoubi

AI Research Engineer at InstaDeep

Dr. Imen Jendoubi is an AI Research Engineer in InstaDeep, where she is dedicated to developing innovative algorithms and advancing research in artificial intelligence. She obtained her Ph.D. in Electrical and Computer engineering from McGill university, focusing on integrating reinforcement learning into energy management and planning. Dr. Imen’s research particularly emphasizes the applications of multi-agent reinforcement learning for automating complex systems across various industries. In addition to her research, Dr. Imen has lectured at various universities, fostering the development of future AI professionals

Jawher Jabri

AI Research Engineer
at InstaDeep

Biography:

Jawher, an AI Research Engineer at InstaDeep and Paris Dauphine graduate, works on the DeepPCB project, focusing on reinforcement learning and large language models.

Wiem Khlifi

AI Research Engineer at InstaDeep Ltd

Jawher holds a Master's degree in Big Data and Artificial Intelligence from Paris Dauphine University. He is currently an AI Research Engineer at InstaDeep, working on the DeepPCB project, where he tackles challenges at the intersection of Reinforcement Learning (RL) and Large Language Models (LLMs).

Mohamed Mejri

Machine Learning Engineer
at InstaDeep

Biography:

Mohamed Mejri is a Machine Learning Engineer at InstaDeep, specializing in LLM projects. With a background in Computer Science from ENICarthage, he works on reinforcement learning, NLP, and efficient LLM adaptation.

Mohamed Mejri

Machine Learning Engineer at InstaDeep Ltd

Mohamed Mejri is a Machine Learning Engineer at InstaDeep, where he works on cutting-edge large language model (LLM) projects. He holds a degree in Computer Science and Engineering from ENICarthage and has experience across reinforcement learning (RL), natural language processing (NLP), and scalable LLM adaptation. His current focus is on efficient finetuning strategies and practical post-training techniques to make LLMs more adaptable and impactful.

Nizar Ben Hmida

AI Research Engineer
at InstaDeep

Biography:

Nizar Ben Hmida is an AI Research Engineer at InstaDeep, where he focuses on developing practical and scalable large language model (LLM) solutions. He holds a Master’s degree in Computer Science from ESPRIT.

Nizar Ben Hmida

AI Research Engineer at InstaDeep Ltd

Nizar Ben Hmida is an AI Research Engineer at InstaDeep who specializes in building practical Large Language Model solutions for real-world business problems. Holding an M.Sc in Computer Science from ESPRIT, he combines technical knowledge with a client-focused approach to create effective AI applications.

Program Outline
The 3rd & 4th May, 2025

DAY 1

8h
Check-in
Check-in icon
8h30
Opening Ceremony
Opening ceremony icon
9h
Keynote 1
Keynote icon
From Chips to Pills: How Generative AI Is Re‑engineering Life‑Sciences R&D by Amine Kerkeni.
9h30
Keynote 2
Coffee break icon
Empowering Sustainable Development with Deep Learning and Earth Observation by Nesrine Chehata.
10h
Coffee Break & Poster Session Kickoff
Coffee break icon
10h.45
Parralel Workshops
Coffee break icon

Parallel Workshops

  • Beyond the Noise: A Deep-Dive into Denoising Diffusion Models
  • Refining LLMs Beyond Pretraining: State-of-the-Art Adaptation Techniques
  • Generative ai with diffusion models
12h45
Lunch Break & Networking
Coffee break icon
13h45
Keynote 3
Coffee break icon
AI and Quantum Computing by Mourad Telmini.
14h10
Poster Session Wrap-up
Coffee break icon
Announcement of Poster Session Winner
14h45
Coffee break
Lunch icon
15h15
Hackathon Workshop
Keynote icon
17h00
Hackathon Start
Coffee break icon
20h30
Dinner & Networking
Coffee break icon

Our Partners

Sup'com

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.

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Deep Learning Indaba

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

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InstaDeep

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.

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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.

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GIZ

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

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IEEE CIS

IEEE CIS advances cutting-edge, nature-inspired computational paradigms to tackle real-world challenges. 🌍💡 Their support empowers us to unite AI enthusiasts, researchers, and professionals for a high-impact event centered on learning, innovation, and collaboration.

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ODC

ODC is a dynamic ecosystem that empowers youth and startups with free digital education, coding schools, startup acceleration, and mentorship. Committed to bridging the digital divide, ODC is shaping Tunisia’s tech and entrepreneurial landscape.

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Last Year's Edition

Last Year's After Movie

Location

Phone:

+216 55614415

Email:

indabaxtunisia
@gmail.com

Location:

Sup'Com