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Program

 

Meeting Registration Link: Click here...

 

Wednesday 1st February 2023 – Graduate Student Colloquium

Morning Session – Graduate Student Presentations

Session Chair: Prof Simon Karume

9:00 am - 9:10 am

Opening Remarks

Prof Simon Karume

Postgraduate Studies Coordinator,  SSET

9:10 am - 9:30 am

A text to speech machine translation model for children  using recurrent neural network from English to Kikuyu machine translation

Geoferry Muhia  

Kabarak University

9:30 am – 9:50 am 

An Artificially Intelligent Conversational Agent for Sharing Sexually Transmitted Infection (STI) Information among the Youth in Sub-Sahara, Africa

Kipngetich Ngeno Mathew

Kabarak University

9:50 am – 10:10 am

An Artificial Intelligence Text Based Conversational Agent for Antenatal Care Counseling

Wilbon Langat    

Kabarak University

10:10 am - 11:00 am

Feedback and Discussion Session

Session Chair

Afternoon Session – Graduate Student Presentations  & Opening Ceremony

Session Chair: Prof Simon Karume

2:00 pm - 2:20 pm

A Real-time Machine learning Bulk Resume classification and recommendation model for Human Resource Managers.

Kennedy Ngetich,

Kabarak University

2:20 pm - 2:40 pm

Local Texture Extraction Technique For Invasive Ductal Carcinoma Detection

Stephen Ngure Gitonga,

Kabarak University

2:40 pm - 3:00 pm

Real time yield estimation using Artificial Intelligence and machine learning

Collins Kirui,

Kabarak University

3:00 pm - 3:05 pm

Welcoming Remarks

Dean, School of Science, Engineering and Technology

3:05 pm - 3:10  pm

Welcoming Remarks

DVC, Academic and Research

3:10 pm - 3:30 pm

Official Opening

Vice Chancellor

3:30 pm  - 3:50 pm

A Framework for Auditing Intellectual Property Royalty Collection and  Disbursement by Collective Management Organizations in Kenya

Antonio Gorbachev,  Kabarak University

3:50 pm - 5:00 pm

Feedback and Discussion Session

Session Chair

Thursday 2nd February 2023 – Paper Presentations and Plenary

Morning Session – Ethical and Data Protection Issues in ML Research

Session Chair: Dr Andrew Kipkebut

9:00 am – 9:20 am

Ethical and Data Protection Gaps in the Development and Review of Artificial Intelligence Solutions in Healthcare

Pamela Kimeto & Moses M Thiga 

Kabarak University

9:20 am – 9:40 am

Machine Learning and Artificial Intelligence: Ethics & Fairness

Richard Wanjohi,

HR&Block

9:40 am – 10:20 am 

Curriculum Analysis: The State AI and Data Ethics Curricula in Kenyan Universities

Ken J Mbuki,

KCA University

10:20 am – 10:40 am

Panel Q&A

Session Chair

Mid Morning Session -  Plenary

Session Chair: Dr Moses M Thiga

11:00 am - 11:15 am

Welcoming Remarks

HOD Computer Science

11:15 am - 11:45 am

How to engage African communities in the AI development process in a manner that identifies and addresses pertinent ethical issues.

Dr John Oredo

Senior Lecturer Information Science, University of Nairobi

11:45 am - 12:15 pm

How to engage African communities in the AI development process in a manner that identifies and addresses pertinent data protection issues.

Dr Dina Machuve

Co-Founder and CTO of DevData Analytics, Tanzania.

12:15 pm - 12:45 pm

How to engage African communities in the AI development process in a manner that identifies and addresses pertinent Intellectual Property issues.

Prof Ciira Maina

Chair, Data Science Africa and Director, Centre for Data Science and Artificial Intelligence (DSAIL), Dedan Kimathi University of Science and Technology.

12:45 pm - 1:00 pm

Panel Q&A

Session Chair

Afternoon Session – Paper Presentations

Session Chair: Ms Daisy Ondwari 

2:00 pm - 2:20 pm

A Novel Automated Biodiversity Monitoring and Conservation Information System with Google Earth Engine

Nicholas Musau

Jomo Kenyatta University of Science and Technology

2:20 pm - 2:40 pm

Saving the Indian Ocean: Plastic Pollution Assessment and Monitoring Along the Tana River

Kennedy Kamande Wangari

United Nations Environment Programme

2:40 pm - 3:00 pm

A Data-driven Model for Sustainable Deployment of Climate Smart Agriculture Practices Among Smallholder Farmers

Simon Ndungu, Philip Wandahwa & Vitalis Ogema

Masinde Muliro University of Science and Technology

Moses M Thiga, Kabarak University

3:00 pm - 3:20 pm

East Coast Fever Early Detection in Kenya using Machine Learning

Walter Kiptanui,

Kenyatta University

3:20 pm  - 3:40 pm

Panel Q&A

Session Chair

Session Chair: Mr Simon Ruoro

3:40  pm - 4:00 pm

Autonomous Surveillance of Infants’ Needs Using CNN-Deep Learning Model For Audio Cry Classification: Artificial Parenting

Geoffrey Owino, Anthony Gichuhi Waititu, Anthony Wanjoya & John Mitch Okwiri

Jomo Kenyatta University of Agriculture and Technology,

4:00 pm - 4:20 pm

A Gradient Boosting Regression Model for The Prediction of an Individual's Short Term Blood Pressure

Daisy Kiptoo, Moses M Thiga, Pamela Kimeto & Peter Rugiri

Kabarak University

4:20 pm - 4:40 pm

An Artificial Intelligence Nutritional Education Chatbot

Joel Samoita,

Kabarak University

4:40 pm - 5:00 pm

Panel Q&A

Session Chair

Friday 3rd February 2023 – Paper Presentations and Closing Plenary

Morning Session  – Paper Presentations

Session Chair: Dr  Andrew Kipkebut

9:00 am - 9:20 am

Application of Gradient Boost Regressor in Birth Time Prediction: Predicting Specific Birth Time to Reduce Risks of Maternal Mortality

Theophilus L. Owiti

Kabarak University

9:20 am - 9:40 am

Leaving No Kenyan Language Behind: Building a Neural Machine Translation System in a Low-Resource Scenario, using Kamba, Dholuo, Luhya and Kikuyu Languages.

Kennedy Kamande Wangari

United Nations Environment Programme

9:40 am - 10:20 am 

Fraud Detection in Automobile Insurance Claims using Improved Majority Voting Isolation Forest

Daisy Ondwari

Kabarak University

10:20 am - 10:40 am

Panel Q&A

Session Chair

Mid-Morning Session – Breakout Session 1  – Paper Presentations

Session Chair: Dr Laura Cheptegei

11:00 am - 11:20 am

A Stroke Prediction System Using Machine Learning.

Thalma Thandie Simiyu

Kabarak University

11:20 am - 11:40 am

Generative Artificial Intelligence for COVID-19 Drug Discovery

Joy Mutheu Musyoka

11:40 am - 12:00 pm

AI For Freelance Workers - Ensuring Employee and Client Satisfaction

Berclay Ayora

IEEE

12:00 pm - 12:20 pm

IOT based Machine Learning Model for Monitoring, Predicting and Forecasting of Demand-side Water Consumption in Nakuru County by comparing Online and Offline Machine learning Algorithms

Dalmas Wakhusama

Kabarak University

12:20 pm – 1:00  pm

Panel Q&A

Session Chair

Mid-Morning Session – Breakout Session 2  – Paper Presentations

Session Chair: Prof Simon Karume

11:00 am – 11:20 am

Effective Web Scraping for Data Science

Victor Ashioya, Kabarak University

11:20 am – 11:40 am

Sentiment Analysis Using Opinion Mining

Rebecca Cheptoek Kibet & Mercy Mburu,

Kabarak University

11:40 am – 12:00 pm

Secure Messaging Application

Cherotich Velorine. Wambugu Martin Muruthi & Jemutai Cynthia Kiprop.  

Kabarak University

12:00 pm – 12:30 pm

Panel Q&A

Session Chair

Closing Ceremony

1:00 pm – 1:30 pm

Closing Remarks

·   Conference Chair

·   SSET  Research Chair

Our Moral Code

As members of Kabarak University family, we purpose at all times and in all places, to set apart in one’s heart, Jesus as Lord. (1 Peter 3:15)

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Located 20 Kilometres (12mi) from Nakuru City CBD, along the Nakuru – Eldama Ravine road.

P.o private bag 20157, Kabarak.

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