The 5th IndabaX Malawi Symposium “Trends in Machine Learning and Artificial Intelligence”

Aug 23, 2024

Time

Session + Activities

8 - 8:30 am 

Registration
Wellcome (Dr. Amelia Taylor)

9:00 - 9.30 am

Talk: Introduction to Machine Learning and its applications
Dr. Amelia Taylor (MUBAS and https://kailab.tech)

9.30 - 10.20 am

(Health)

Research presentations - (See list below)

Christina Chiziwa (MSc Student, Impala Project, MUBAS) (15 min)
Title: Forecasting For Threshold Alarms Around Critical Illness Events In Patient Monitoring: Auto-Regressive Integrated Moving Average Machine Learning Approach*

Amelia Taylor, Chimwemwe Chamangwana (https://kailab.tech, MUBAS) (15 min)
Title: Self-Directed Learning for Community Health Workers in Malawi Through Generative AI

Emmanuel Malunga (Student, Mzuzu University) (10 min)
Title: Addressing Diversity and Inclusion in AI-Driven Healthcare
 

Questions (10 min)

10.20 - 10.40 am

Health Break 

10.40 - 11:20 pm

(Applications of ML in Agriculture)

Research presentations - 2 sessions of 15 minutes each (See list below)

Chimwemwe C. Mvula (Mzuzu University, Undergraduate Student) Maize Seed Quality Detection Using Machine Learning 

Emmanuel Ngalande (UNIMA, PhD Student)
Comparative analysis of CNN for fall armyworm detection and segmentation using UAV imagery in smallholder farms in Malawi

Questions (10 min)

11:20 - 12:00

(Remote Sensing/ GIS) 

Research presentations - 2 sessions of 15 minutes each (See list below)

Lewis Msasa, Evelyn Chapuma, Grey Mengezi, Amelia Taylor (https://kailab.tech, MUBAS) 
Title: mwBD: A Dataset of Satellite Imagery for Assessing Building Damage caused by Cyclone Freddy in Blantyre, Malawi

Patrick Ken Kalonde (PhD Student, MLW)
Title: Geospatial Methods for Public Health Surveillance in Urban Environment

Questions (10 min)

12.00 - 1.00 pm

Lunch Break

1.00 - 1.55 pm

(Education and Society)

Research presentations - 3 sessions of 15 minutes each (See list below)

Dickson Thegha  (Mzuzu) 
Title: Primary Science Augmented Reality (AR) System (PSARS)

Peter Oseghale Ohue, Olusanya Elisa Olubusoye, Olaoluwa Simon Yaya (University of Ibadan Nigeria) - Online
Title: Voter Apathy in Nigeria: Leveraging Bayesian Networks and Deep Learning Models for Evidence-Based Solutions 

Amos Roberts, Amelia Taylor, Tamanda Phiri (https://kailab.tech, MUBAS) 
Title: Can ML be utilised to detect SMS Fraud in Malawi?

Questions (10 min)

2:00 - 2:30 pm

Talk: Colleen Farrelly: Introduction to graph neural network
Colleen M. Farrelly (Post Urban Ventures) is a lead data scientist and researcher with a broad industry background in machine learning algorithms and domains of application. While her focus has been industry, she also publishes academically in geometry, network science, and natural language processing.

2.30 - 3.00 pm

Workshop 1: Security & Privacy Considerations for AI & ML (Facilitated by Susie Haydon) After over 20 years in Unix & Linux systems engineering in Australia, Susie Haydon has moved into Cyber Security. She is looking forward to learning more about the intersection of Cyber Security and Artificial Intelligence at 2024 IndabaX Malawi.

3.00 - 4.00 pm

Panel DIscussion:  Security & Privacy Considerations for AI & ML

Members of the panel:

Dr. Anthony Ziba, Anthony Ziba, Head of ICT at MUBAS
Dr. Anthony Sinya Kampingo (ASK) ZIBA  is the Head of Information and Communication Technologies (ICT) at the Malawi University of Business and Applied Sciences (MUBAS) and has over 18 years cumulative experience in the ICT industry spanning both public and private sectors across the world. He obtained his Bachelor of Science degree in Computer Science from the University of Malawi, Chancellor College, in 2001. In 2004 he obtained the Master of Science degree in Information Technology and later in 2009 he obtained a PhD in Information Systems, both from the Edinburgh Napier University in Scotland, UK. He is EC Council Certified Ethical Hacker and Certified Computer Hacking Forensic Investigator. In addition to that, he is ISACA Certified Information Systems Auditor and PECB Certified ISO 27001 Lead Implementer.  He is a registered candidate for the Offensive Security’s PEN 200  Certification Program.

Exile Njoka(MBA,B.Sc,CISSP,DPO)
Exile Njoka is an information security specialist with over a decade of experience. He has a versatile background in information security across various sectors, including finance, telecommunications, and non-governmental organizations. His areas of specialization include business security development,Business Continuity, Data privacy, Cyber surveillance ethics, digital fraud investigations, cloud security, cybersecurity awareness, and incident response. Exile is currently the Group ICT Manager for Continental Holdings Limited. He also serves as a Director at Turtletech Limited, a cybersecurity company in Malawi, and is the founder of Cyber Flames, a non-profit organization specializing in information security capacity building. He holds an MBA, B.Sc., CISSP,  PECB Data Privacy Officer, and several other information security certifications.

Eva Mfutso-Bengo
Eva Mfutso Bengo is the Acting Head of Department of Economics and Law at MUBAS. She has been teaching Corporate Law, Environmental Law and Public Health Law. She is pursuing a dr. jur. in the area of financial crimes. She has a strong interest in the interlinkage of legal information systems, legal text and AI.

4 pm

Closing Remarks / Networking

Aug 24, 2024

8:00 - 8:10  am  

Welcome to day 2

8:10 - 9.20 am

Research presentations - 4 sessions of 15 minutes each (See list below)

Richard Chilipa (Lecturer MUST)
Evolving Fuzzy Systems for Real Time Applications

Alinafe Emmanuel Kaliwo (Lecturer MUBAS)
The State of Responsible AI in Malawi: Ensuring Ethical and Inclusive Development

Questions (10 minutes)

9:20 - 9:50 am

Workshop 2: Machine Learning tutorial

9.50 - 10.10 am

Health break

10.10 - 11.00 am

ML Competition launch (Zindi.Africa)

11.00 - 10.00apm

Closing Remarks and Networking Lunch