Host Institution

Botho University

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Schedule

  • 03 Nov 2025
    • 0830-0900: Arrival & registration
    • 0900-0905: Opening prayer
    • 0905-0915: Welcome Remarks- Country Head, Botho University
    • 0915-0925: Overview of Deep Learning IndabaX – Dr Batani, Lead Organizer
    • 0925-0945: Keynote address – Director, Department of Science, Technology & Innovation (Ministry of Information, Communications, Science, Technology & Innovation)
    • 0945-1005: A word from the winners – Nyakallo Kotsi & Khotso Moholobela
    • 1005-1105: Lecture – Generative artificial intelligence – Prof Vusi Marivate, University of Pretoria, South Africa
    • 1105-1130: Tea/Coffee Break
    • 1130-1200: How big data poisoning attacks can trick AI models and how to stop them – Prof Stephen G. Fashoto, Namibia University of Science & Technology
    • 1200-1220: A word from our sponsors - Naledi Outdoor Advertising
    • 1220-1235: Safety-Gated Online Adaptation for Tabular Intrusion Detection Under Strict Zero-Day Evaluation – Khotso Moholobela
    • 1235-1250: A machine learning model for food crop disease detection in Lesotho – Unathi Lenkoe, Botho University
    • 1250-1310: Transfer Learning-Based Method with Extreme Gradient Boost Classifier for Surface Defect Classification of Hot-Rolled Steel Strips - Alaa Aldein Mohamed Suliman Ibrahim (Virtual)
    • 1310-1400: Lunch Break
    • 1400-1445: Lecture - Spatial-Temporal Graph Neural Networks, Mr Lekuba Ntoane, NUL
    • 1445 - 1500: Fundamentals of Quantum Machine Learning – Dr Makhamisa Senekane, University of Johannesburg
    • 1500-1520: Lecture – Explainable artificial intelligence (XAI) – Prof Elliot Mbunge, University of Johannesburg
    • 1520-1525: Sponsor segment – Tichere Pule
    • 1525-1625: Panel discussion – Lesotho’s AI Policy: Implementation Plan, Implications for Teaching, Research & Development – Moderator: Mukai Turugare (Panellists: Dr Lerato Mohapo, Reitumetse Ramaima, Maoeng M)
  • 04 Nov 2025
    • 0830-0900: Arrival & registration
    • 0900-0905: Opening prayer
    • 0905-0930: Advancing Healthcare with Artificial Intelligence: From Data to Deployment - Prof Dr Wim Delva (MD, PhD), Wimmy, South Africa
    • 0930-0945: AI-Assisted Diagnosis of Chest X-Rays Using Deep Learning - Kananelo Joel
    • 0945-1020: Applications of AI & Blockchain in Lesotho - Palesa Gwele, Lesotho AI & Blockchain Association
    • 1020-1050: Tea/Coffee Break
    • 1050-1120: Parallel Sesotho to English dataset - Mandla Motaung
    • 1120-1140: Integration of AI Smart Instructor in Physical Classroom Settings for Automated Teaching and Learning – Wesi Mosiuoa, Postgrad student (India)
    • 1140-1200: Precision Farming - Lekoro Leonard Nkholise, Phytely
    • 1200-1220: Applied Deep Learning Engineering: MLOps for Designing Robust Systems in Resource-Constrained Environments - Thabiso Lekena, Ministry of Agriculture, Lesotho
    • 1220-1240: A Web-based TB Detector Using Machine Learning - Palesa Emily Thetele
    • 1240-1300: Dual-Model Approach in Machine Learning for Cancer Risk and Type Prediction – Nyakallo Kotsi
    • 1300-1345: Lunch Break
    • 1345-1500: Poster presentations
    • 1500-1510: Lesotho SoilEDS - Tsoloane Tsosane
    • 1510-1520: Using Graph Neural Network to improve channel decoding – Kimberley Nkiwane
    • 1520-1525: American Corner Maseru
    • 1525-1535: Awards ceremony
    • 1535-1540: Closing speech – Deep Learning IndabaX Representative
    • 1540-1545: National anthem