Schedule

University of Douala

Day1: 19 juin

08:00-09:00 : Registration
09:00-09:15: Welcome speech
09:15-09:30: Opening remarks
09:30-10:30: Keynote 1: Neuronal Network and applications
- 09:30-10:00: Talk1 - Intégration de l’IA & des réseaux Ad hoc véhiculaires pour l’amélioration des systèmes de mobilité urbaine (Mme Pidy Léonce, Université de Douala) (In person)
- 10:00-10:30: Talk2 - Méta-apprentissage pour la gestion optimale de cycle de vie des réseaux de capteurs sans fil et des applications IoT (Dr. DJEDOUBOUM ASSIDÉ Christian,Université de Moundou) (In person)

10:30-10:45: Coffee break

10:45-11:15: Jérôme RIBEIRO: L'éthique aux service de l'intelligence artificielle (online)
11:15-12:00: DjimNeibaye Sidoine Smart Healthcare security: A peer to peer mutual authentication and key exchange protocol elliptic curves (Université de Abéché – Tchad) In person

12:00-13h: Break & poster presentation

13:00-14:00: Tutorial
- Room A: Les 4 étapes du ML avec Python (M. Tatang Kevin, Université de Douala) (In person)
- Room B: Object detections (Sparte Robotique) (In person)
14:00-16:30: Panel Discussion 1 - AI & applications
16:30- 17:30: Presentation of a Project in Machine Learning: Automating Land Use and Land Cover Mapping using Computer Vision and Satellite Imagery (YOUNKAP NINA DUPLEX) (online)
17:30-18:00: Posters presentation-Networking session

Day2: 20 juin

08:00-09:00: Registration
09:00-09:15: Recap of the first day
09:15-10:30: Keynote 2 - Statistical and Stochastic Machine Learning
- 09:15-09:50: Talk1 - Instrumental variable-based approach (DML IV, DR IV, ORTHO IV) for assessing heterogeneous causal effect of a Humanitarian intervention (Ngnie Fonkoua Christian - Code for Africa) (online)
- 09:50-10:30: Talk2 - Addresses, a pillar for our country digital transformation agenda (Gilbert Olpoc, PDG, Afrologic et Cofondateur Postpoint)

10:30-10:45: Coffee break

10:45-12:00: Tutorial
- Room A: Analysis and Prediction of Fuel Consumption of Power Generation plants using Machine Learning and Neural Networks (Gabin Maxime Nguegnang - RWTH Aachen University, Germany) (In person)
- Room B: Training a classifier with Pytorch (Irene Kameni - TESHO) (In Person)

12:00-13h: Break & poster presentation

13:00-14:15: keynote 3 - AI Fairness and Ethics
- 13:00-13:40: Talk1 - Leveraging Responsible, Explainable, and Local AI for Population Health & Health Systems (prof. Jude Kong - ACADIC)(online)
- 13:40-14:15: Talk2 - Unlocking the Power of under-resourced languages: Towards Inclusive and Ethical AI (Mikel K. Ngueajio - Howard University, USA.) (Online)
14:15-16:15: Panel Discussion 2 - Blockchain & AI
16:15-18:15: Hackathon (pitch)

Day3: 21 Juin

08:00-09:00: Registration
09:00-09:15: Recap of day two
09:15-10:30: keynote 4 - Convolutional Network and image processing
- 09:15-09:50: Talk1 - Data Justice and AI in Sub-Saharan Africa: understanding the stakes for developers. (Pr Jean Louis Fendji - Université de Ngaoundéré) (Online)
- 09:50-10:30: Talk2 - Prédiction des classes d’occupation de sol à partir d’images satellitaires et du Deep learning (Dr. Ing. Moskolaï Rose - Université de Bourgogne France) (In person)

10:30-10:45: Coffee break

10:45-12:00: keynote 5 - Application of ML in Finances and Games Theory
- 10:45-11:20: Talk1 - Competitive Agents under Reinforcement Learning: A Non-Cooperative Games Model (Dr. Mbama Bertrand - Université de Douala) (In person)
- 11:20-12:00: Talk2 - Understanding the training phase of Deep Neural Networks (Gabin Maxime Nguegnang - RWTH Aachen University, Germany) (in person)

12:00-13:00: Break & poster presentation