African AI Research Symposium 🌍

Wednesday, 28 August 2019 is the African AI Research Symposium. The day is structured as follows:
1. Conference. Morning sessions with invited talks and spotlight presentations from IndabaX representatives.
2. Poster sessions. Afternoon filled with two poster sessions to see research from across our continent and beyond.
Conference Session and Spotlight Speakers
Opening and Keynote: 8:30am - 9:30am
  • Welcome: The IndabaX and Creating Leadership in AI
  • Keynote: Dr Ciira wa Maina, Seeking Research Impact at the Grassroots - The Role of AI
​Session 1: 9:30 - 10:30am
  • Jecinta Mulongo, Anomaly Detection in Power Generating Plant using Machine Learning Techniques
  • Fauste NDIKUMANA, Monitoring System to Strive against Fall Armyworm in Crops Case Study: Maize in Rwanda
  • JEAN AMUKWATSE, Soil Mobile Tester Laboratory (SoMiT Lab)
  • Djaloul Youcef MOUALEK, Modified U-net for Semantic Segmentation
  • Olaniyan Oluwasegun Emmanuel, Development of a Multi-Target Regression Models to Predict the Physical and Chemical Properties of Soil
  • Mohamed Tarek Shaaban Dawoud, Sim-to-real Conditional End-to-End Self-Driving Vehicle Through Visual Perception"
  • Deborah Dormah Kanubala, Risk scoring algorithms for farmers in the smallholder setting.
  • Honoré Mbaya, Prototype of a semantic technology for the Congo-Africa review
  • Kale-ab Tessera, Learning compact, general-purpose neural network architectures.
  • Allan Ocholla, Algorithmic Governance: The New Normal
  • Pius Nyanumba, Gaussian Process Modelling in Rotation Measure Synthesis

Session 2: 11am - 12:30pm.
  • Invited talk: Dr  Dr Maina Elizaphan Muuro, Enhancing e-learning using Artificial Intelligence Techniques
  • AYADI Alaeddine, Classification of product pose view using a unified Embedding with Hard Triplet Loss and Gradient Boosted Tree models
  • Arnaud Nzegha, Data augmentation and 3D Reconstruction
  • Mouad Riyad, Deep convolutional-recurrent neural network for SMR classification
  • Ali Bosir, Automation using IOT and NLP
  • Sam Masikini, Challenges in The Automatic Recognising and Counting Malawi Banknotes
  • Francis Chikweto, Patient Vital signs monitoring with deep Learning integration
  • Getenesh Teshome    Bidirectional Attentive Matching Based Textual Entailment Recognition using Deep Learning
  • Samantha Van Der Merwe, Predicting Social Unrest in South Africa
  • Eunice Mbasuva, Designing Ensemble Deep Learning Intrusion Detection System for DDoS attacks in Software Defined Networks
  • Elizabeth Benson, Urban Highway Traffic Routing And Prediction Model with HMMs
  • Rihab Gorsane, Hybrid approach for order-based optimization using Evolutionary Algorithms: Case of Capacitated Vehicle Routing Problem.
Poster Details and Allocations
We encourage everyone to bring a poster and present their use and interest in machine learning and AI.
  • There are two poster sessions on the research day, Wednesday 28 August, from 2-4pm and 4-6pm. 
  • Please log into your account in Baobab and give us a title (even if tentative) for your poster. We will allocate you one of the sessions.

Instructions
  • Posters should be in A1/A0 size, portrait mode (i.e, long format)
  • Print your posters before coming. It will not be easy to do once you are on campus. We cannot support the cost of poster printing unfortunately. If cost is an issue, be creative in how you can create a poster (e.g., drawing one on a large sheet of paper by hand, using individually printed A4 paper using a standard printer, or other creative ways).
  • We have several prizes to give away to the students who demonstrate effort and excellence during the poster sessions.
Picture
Poster session at the 2018 Deep Learning Indaba
Poster Allocations
Session 1 is 2pm-4pm. Session 2 is 4:30-6:30pm