Program
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Wednesday 1st February 2023 – Graduate Student Colloquium |
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Morning Session – Graduate Student Presentations Session Chair: Prof Simon Karume |
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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 |
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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 |
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Morning Session – Ethical and Data Protection Issues in ML Research Session Chair: Dr Andrew Kipkebut |
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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 |
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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 |
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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 |
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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 |
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Morning Session – Paper Presentations Session Chair: Dr Andrew Kipkebut |
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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 |
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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 |
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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 |
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1:00 pm – 1:30 pm |
Closing Remarks |
· Conference Chair · SSET Research Chair |