CMU-Africa Day

April 10, 2024

10:00 a.m. - 5:00 p.m. ET

Simmons Auditorium, Tepper Quad

Description

Join faculty, staff, and students from Carnegie Mellon University Africa to explore collaborative research and learn about life at the Kigali, Rwanda CMU location. The day will be divided into two parts:

10:00 a.m. - 3:30 p.m.: Research talks and poster session open to the CyLab and College of Engineering community

3:30 p.m. - 5:00 p.m.: Cultural event open to the entire CMU community

Snacks will be served at both the poster session and cultural event.

Agenda

  • 10:00 -10:10 AM:  Lorrie Cranor - Mobile app privacy nutrition labels missing key ingredients for success
  • 10:10 -10:20 AM:  Carlee Joe-Wong - Federated learning systems for healthcare, sensing, and other applications
  • 10:20 -10:30 AM:  Moise Busogi - Mapping Rwanda's harvest: integrating open geospatial data for precision agriculture
  • 10:30 -10:40 AM:  Giulia Fanti - Privacy requirements and realities of digital public goods
  • 10:40 -10:50 AM:  Yorie Nakahira - Assuring safety in intelligent control systems
  • 10:50 -11:00 AM:  BREAK
  • 11:00 -11:10 AM:  Arsene Muhire - HOVA AI: Building the largest retail analytics platform for African SMEs
  • 11:10 -11:20 AM:  Eman Alashwali - Privacy perceptions and behaviors of Google personal account holders in Saudi Arabia
  • 11:20 -11:30 AM:  Swarun Kumar - Communication and computing for all
  • 11:30 -11:40 AM:  Pulkit Grover - Navigating systemic biases: a personal reflection
  • 11:40 -11:50 AM:  Lujo Bauer - Attacking and defending real-world uses of machine learning
  • 11:50 -12:00 PM: Rachid Elazouzi - Energy footprint of federated learning
  • 12:00 - 12:10 PM: George Okeyo - Collaboration with CMU-Africa faculty
  • 12:10 -1:30 PM:  BREAK
  • 1:30 - 3:30 PM: CMU-Africa poster session
    • Xiyu Deng - A learning and control perspective of microfinance
    • Muhammed Danso - Semantically modulated joint episodic-procedural memory
    • Rahman Mabano - Predictive modeling, cycling & techno-economic analysis of repurposed lithium-ion battery packs
    • Temitope Oguntade - Multi-channel, AI-driven energy solutions for sub-Saharan Africa
    • Diane Tuyizere - AI-driven precision farming: a holistic approach to enhance food and nutrition security in Rwanda
    • Kevin Sebineza - Livestock identification using deep learning
    • Ines Ineza - Towards responsible innovation for digital public goods: responsible innovation by design
    • Ariane Shimirwa - AI-based mobile platform for predicting the risk of having NCDs
    • Gabrial Zencha Ashungafac - Advancing socio-economic development in Africa through Edge AI: challenges, innovations, and applications in healthcare and beyond
    • Rehema Mpinganzima - Cyber heroes: The effectiveness of an African themed comic book in educating pre-teens on online safety
    • Jacqueline MUKAMISHA - Empirical analysis of deep Learning based models for server-side request forgery (SRRF) mitigation in traditional and cloud networks
    • Arsene Muhire - HOVA AI: building the largest retail analytics platform for African SMEs
    • Akpene Diata Hoggar - The remote future of talent
    • Blessed Guda - HumekaFL: automated detection of neonatal asphyxia using federated learning
    • Shidhartho Roy - Towards elimination of hair-type and skin color biases in near-infrared spectroscopy
    • Dereje Shenkut - CVIPS: connected vision for improved pedestrian safety
    • Veronica Muriga - Towards opportunistic emergency communications using LEO satellites
    • Tim McNamara - Model order reduction for power system simulations
    • Shimiao Li - TBA
    • Karen Sowon - TBA

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