About Deep Learning IndabaX Uganda

Our mission is to Strengthen Ugandan Machine Learning and AI by building communities, creating leadership, and recognising excellence in research and applications by Ugandan innovators.

Your support funds the Deep Learning IndabaX Uganda’s mission to Strengthen Ugandan Machine Learning and AI, by enabling us to build communities, create leadership and recognise excellence. The Deep Learning IndabaX Uganda is a nonprofit organisation registered in Uganda as a company limited by guarantee

Organising Committee

speaker
Bruno Ssekiwere

Director|Team Lead

speaker
Claire Babirye

COO|Programme Chair

speaker
Jean Amukwatse

Sponsorship Chair

speaker
Gloria Namanya

Applications and Selections Chair

speaker
Jovia Nakazibwe

Accounting and Welfare

speaker
Samiiha Nalwooga

Marketing & Communications

speaker
Timothy Kivumbi

Marketing & Communications

speaker
Yudaya Nansukusa

Programme

speaker
Hewitt Tusiime

Posters and Hackathon

speaker
Nsubuga Denise

Sponsorship

Event Schedule

The Conference will be a Multi Day Event featuring Tutorials, Hackathons, Keynote, Invited Talks, Poster Presentations, Spotlight Talks. 26th and 27th will be virtual while 28th will be Physical.

  • Time
    Activity
  • 10:00 - 10:10AM
    Welcome remarks

    - Indaba X Uganda

  • 10:10 - 10:40AM
    Machine Translation for low resourced languages

    - Eric Peter Wairagala, Makerere AI Lab

  • 10:40 - 1:10PM
    Language API integration

    -Jonathan Mukiibi, Makerere AI Lab

  • 1:10 - 2:00PM
    Lunch break
  • 2:00 - 3:00PM
    Idea pitching

    -Professor Hugh Cameron, Visiting Professor, Makerere University

  • 3:00 - 4:00PM
    Scaling and Building a sustainable AI project

    -Jonan Katende, Business Manager - JusticeBot

  • 4:00 - 4:30PM
    Launching of the Hackathon
    • Registration on Fruit Punch platform
    • Participation in the Hackathon
    • Submission details

    -IndabaX Uganda

  • DAY 1 | Time
    Activity
  • 9:00 - 10:00 AM
    Python and Data Science Fundamentals

    - Jean Amukwatse, Software Engineer Living Goods

  • 10:00 - 11:00 AM
    Machine Learning: Supervised and Unsupervised

    - Isaac Mukonyezi, Lecturer UTAMU

  • 11:00 - 11:30 AM
    Coffee Break

  • 11:30 - 1:00 PM
    Data Visualization

    -Richard Sserunjogi, Data Scientist, AirQo

  • 1:00 - 2:00 PM
    Lunch Break

  • 2:00 - 3:00 PM
    Deep Learning /Neural Networks

    -Samiiha Nalwooga, AI Researcher, Makerere Artificial Intelligence Lab

  • 3:00 - 4:00 PM
    NLP (Real life applications and implementation)

    -Assoc Prof. Vukosi Marivate, ABSA Chair of Data Science, University of Pretoria

  • DAY 2 | Time
    Activity
  • 9:00 - 10:00 AM
    Linear Algebra

    - Claire Babirye, AI Researcher, Makerere Artificial Intelligence Lab

  • 10:00 - 11:00 AM
    Computer Vision

    - Jeremy Francis Tusubira, Software Engineer | AI Researcher - Makerere AI Lab

  • 11:00 - 11:30 AM
    Coffee Break

  • 11:30 - 1:00 PM
    Vertex AI (ML on Google Cloud)

    -Marvin Ngesa, Device Manager Cloud Data & AI , Safaricom PL

  • 1:00 - 2:00 PM
    Lunch Break

  • 2:00 - 4:00 PM
    Hackathon - Pitching of Ideas

  • Time
    Activity
  • 8:00 – 8:30AM
    Arrival and Registration

  • 8:30– 8:40AM
    Welcome note and Opening Remarks:

    - Organising Committee

  • 8:30– 8:40AM
    Keynote: Establishing strong foundations for multidisciplinary research to promote AI in Uganda.

    - Dr. Kitoogo Fredrick - Principal UICT, former Director Planning NITA-U

  • 9:20 - 10:00AM
    Invited talk: Artificial Intelligence for UN Sustainable Development Goals

    - Dr. Martin Mubangizi , Head UN Global Pulse Lab Kampala

  • 10:00 - 10:30AM
    Group photo, Tea Break and Exhibitions

  • 10:30 - 11:20AM
    Spotlight talks - Group 1:

    - Presentations from 5 selected students

  • 10:30- 11:20AM
    Invited talk: Emerging trends in Artificial Intelligence

    - Dr. Ernest Mwebaze, Executive Director, Sunbird AI

  • 12:00 - 1:00PM
    Panel session 1: The application and impact of AI in various domains
    1. -Dr. Andrew Katumba, Head - Marconi Research and Innovations Lab, Makerere University
    2. -Mr. Ojara Richard, Country Office Director- NIRAS
    3. -Dr. Godliver Owomugisha, Head- Busitema AI and Interdisciplinary Research Group Busitema University
    4. -Mr. Mwanja Joel, CTO - Tubayo
    5. -Ms. Grace Aikomo, Data Scientist - Mara Scientific

    - Moderator: Barbara Apilli

  • 1:00– 2:00PM
    Lunch and Project Exhibitions

  • 2:00- 2:40PM
    Invited talk: Responsible and Ethical AI

    - Dr. Joyce Nakatumba- Nabende, Head Makerere AI Lab

  • 2:40 - 3:10PM
    Spotlight talks - Group 2: Language Hackathon: Kickstarting translation apps in UG

    - Presentations from the top 3 teams

  • 3:10- 4:10PM
    Panel session 2: Harnessing the power of AI: Building stronger communities through interdisciplinary collaboration
    1. -Mr. Mbaka Paul , Ass. Commissioner, Health Services - Division of Health Information Management, Ministry of Health
    2. -Assoc Prof. Engineer Bainomugisha, Engineer Bainomugisha, Head, Department of Computer Science Makerere University
    3. -Mr. Mugagga Pius, Co-founder and Team Lead, LavingtonData
    4. -Dr. Rose Nakasi, Lecturer, Busitema University
    5. -Mr. Nsumba Solomon, Software Engineer, Sunbird AI | PhD Student - Makerere University

    - Moderator: Hewitt Tusiime

  • 4:10- 4: 20PM
    Deep Learning Indaba

    Dr. Ulrich Paquet - co-founder Deep Learning Indaba

  • 4:10- 4: 20PM
    Deep Learning Indaba

    Dr. Ulrich Paquet - co-founder Deep Learning Indaba

  • 4:20 - 4:25PM
    Hackathon: Announcing and Awarding the winning solution

    Organizing committee

  • 4:25- 4:30PM
    Closing Remarks

    Organizing committee

  • 4:30- 4:50PM
    Tea Break and Departure

25 Speakers
300 + Seats
150 tickets
3 Days Event

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