{"id":1160,"date":"2026-07-24T15:46:44","date_gmt":"2026-07-24T15:46:44","guid":{"rendered":"https:\/\/deeplearningindaba.com\/2026\/?page_id=1160"},"modified":"2026-07-24T15:47:11","modified_gmt":"2026-07-24T15:47:11","slug":"posters-2026","status":"publish","type":"page","link":"https:\/\/deeplearningindaba.com\/2026\/posters-2026\/","title":{"rendered":"Posters 2026"},"content":{"rendered":"<div class=\"et_pb_section_0 et_pb_section et_pb_fullwidth_section et_section_regular et_block_section\"><span class=\"et_pb_background_pattern\"><\/span>\n<section class=\"et_pb_fullwidth_header_0 et_pb_fullwidth_header et_pb_bg_layout_dark et_pb_text_align_left et_pb_module et_flex_module\"><div class=\"et_pb_fullwidth_header_container left\"><div class=\"header-content-container center\"><div class=\"header-content et_flex_module\"><h1 class=\"et_pb_module_header\"> 2026 Posters<\/h1><div class=\"et_pb_header_button_wrapper\"><\/div><\/div><\/div><\/div><div class=\"et_pb_fullwidth_header_overlay\"><\/div><div class=\"et_pb_fullwidth_header_scroll\"><\/div><\/section>\n<\/div>\n\n<div class=\"et_pb_section_1 et_pb_section et_section_regular et_flex_section preset--module--divi-section--default\">\n<div class=\"et_pb_row_0 et_pb_row et_flex_row\">\n<div class=\"et_pb_column_0 et_pb_column et-last-child et_flex_column et_pb_css_mix_blend_mode_passthrough et_flex_column_24_24 et_flex_column_24_24_tablet et_flex_column_24_24_phone\">\n<div class=\"et_pb_text_0 et_pb_text et_pb_bg_layout_light et_pb_module et_flex_module\"><div class=\"et_pb_text_inner\"><p>Here is the list of the 4 categories for the 2026 posters.<\/p>\n<\/div><\/div>\n<\/div>\n<\/div>\n<\/div>\n\n<div class=\"et_pb_section_2 et_pb_section et_section_regular et_flex_section preset--module--divi-section--default\">\n<div class=\"et_pb_row_1 et_pb_row et_flex_row\">\n<div class=\"et_pb_column_1 et_pb_column et-last-child et_flex_column et_pb_css_mix_blend_mode_passthrough et_flex_column_24_24 et_flex_column_24_24_tablet et_flex_column_24_24_phone\">\n<div class=\"et_pb_tabs_0 et_pb_tabs et_pb_module\"><ul class=\"et_pb_tabs_controls clearfix\"><li class=\"et_pb_tab_nav_item_0 et_pb_tab_nav_item et_pb_tab_0 et_pb_tab_active\"><a class=\"et_pb_tab_nav_item_link\" href=\"#\">IndabaX<\/a><\/li><li class=\"et_pb_tab_nav_item_1 et_pb_tab_nav_item et_pb_tab_1\"><a class=\"et_pb_tab_nav_item_link\" href=\"#\">General<\/a><\/li><li class=\"et_pb_tab_nav_item_2 et_pb_tab_nav_item et_pb_tab_2\"><a class=\"et_pb_tab_nav_item_link\" href=\"#\">Publications<\/a><\/li><li class=\"et_pb_tab_nav_item_3 et_pb_tab_nav_item et_pb_tab_3\"><a class=\"et_pb_tab_nav_item_link\" href=\"#\">Datasets<\/a><\/li><\/ul><div class=\"et_pb_all_tabs\">\n<div class=\"et_pb_tab_0 et_pb_tab clearfix et_pb_active_content et_pb_module et_flex_module\"><div class=\"et_pb_tab_content et_flex_module\"><p><google-sheets-html-origin><\/p>\n<style type=\"text\/css\"><!--td {border: 1px solid #cccccc;}br {mso-data-placement:same-cell;}--><\/style>\n<table xmlns=\"http:\/\/www.w3.org\/1999\/xhtml\" cellspacing=\"0\" cellpadding=\"0\" dir=\"ltr\" border=\"1\" data-sheets-root=\"1\" data-sheets-baot=\"1\">\n<colgroup>\n<col width=\"83\" \/>\n<col width=\"296\" \/>\n<col width=\"1431\" \/><\/colgroup>\n<tbody>\n<tr>\n<td>Poster IDs<\/td>\n<td>Poster presenter<\/td>\n<td>Poster title<\/td>\n<\/tr>\n<tr>\n<td>IX-01<\/td>\n<td>Tinevimbo Musingadi<\/td>\n<td>Ground-Based Precipitation Nowcasting for Flood Warning in Developing Countries: A Multimodal Deep Learning Approach<\/td>\n<\/tr>\n<tr>\n<td>IX-02<\/td>\n<td>ASMAA MOHAMED IBRAHIM KHALIL MOAWAD<\/td>\n<td>A Linguistic Evaluation of NLP Models on Pragmatic Ambiguity.<\/td>\n<\/tr>\n<tr>\n<td>IX-03<\/td>\n<td>Adama Boubacar Oumarou<\/td>\n<td>Powered Computer vision and LLM Advisory Mobile APP For Rural Farming<\/td>\n<\/tr>\n<tr>\n<td>IX-04<\/td>\n<td>Amina Salifu<\/td>\n<td>CNN-Based Accent Similarity Detection Using Masked Spectrogram Reconstruction<\/td>\n<\/tr>\n<tr>\n<td>IX-05<\/td>\n<td>Kondwani Nyirenda<\/td>\n<td>Building Multilingual AI Systems for African Businesses: GraphRAG and GNN-Based Fine-Tuning for English-Local Language Entity Mapping and Context Understanding<\/td>\n<\/tr>\n<tr>\n<td>IX-06<\/td>\n<td>Ibrahima Sissoko<\/td>\n<td>Where Are We At? First Standardized Benchmark for Bambara Automatic Speech Recognition\" POSTER ID: IX-06 | MaLIBA-AI<\/td>\n<\/tr>\n<tr>\n<td>IX-07<\/td>\n<td>Filipe Jone<\/td>\n<td>AI-Powered Smart Irrigation and Climate Control for Greenhouse Tomato Production<\/td>\n<\/tr>\n<tr>\n<td>IX-08<\/td>\n<td>Thandokuhle Msane<\/td>\n<td>Leveraging Machine Learning Algorithms for Machine Learning Forecasting in Eswatini<\/td>\n<\/tr>\n<tr>\n<td>IX-09<\/td>\n<td>Ahlam Brahim Mahamat Defa<\/td>\n<td>HYBRID OFFLINE-FIRST AGRICULTURAL DECISION SUPPORT SYSTEM FOR CLIMATE RESILIENCE OF SMALLHOLDER FARMERS : A CASE STUDY IN CHAD<\/td>\n<\/tr>\n<tr>\n<td>IX-10<\/td>\n<td>Paule Marcelle ELANGA<\/td>\n<td>Reclaiming National Languages through AI: Scientific Contributions of a Kituba\u2013French ASR System<\/td>\n<\/tr>\n<tr>\n<td>IX-11<\/td>\n<td>Abdulrauf Mubarak<\/td>\n<td>Interpretability Challenges in Deep Learning for Lung Cancer Diagnosis<\/td>\n<\/tr>\n<tr>\n<td>IX-12<\/td>\n<td>Chelsie Dongmo<\/td>\n<td>Non-Invasive Weight Estimation of Marine Invertebrates Using a Modular Deep Learning Pipeline with Mobile Deployment<\/td>\n<\/tr>\n<tr>\n<td>IX-13<\/td>\n<td>Unathi Lenkoe<\/td>\n<td>A machine learning model for food crop disease detection in Lesotho<\/td>\n<\/tr>\n<tr>\n<td>IX-14<\/td>\n<td>Kelly Chandelle Irumva<\/td>\n<td>Development and Validation of Predictive Models for Forecasting Mpox Cases in Burundi<\/td>\n<\/tr>\n<tr>\n<td>IX-15<\/td>\n<td>Elysa Marie Alfredine RAZAFINDRAFARA EP RAZAFINIRINA<\/td>\n<td>Markovian analysis and optimization of learning time in reading and mathematics using Machine Learning techniques : An illustration via the TaRL approach in Madagascar<\/td>\n<\/tr>\n<tr>\n<td>IX-16<\/td>\n<td>Tinotenda Mapara<\/td>\n<td>Hybrid Feature-Based Deep Learning Model for Micro-Drone Detection in Anti-Drone Systems<\/td>\n<\/tr>\n<tr>\n<td>IX-17<\/td>\n<td>ABENI Kokou Bernard<\/td>\n<td>AI-Powered Inventory Management for Small Businesses<\/td>\n<\/tr>\n<tr>\n<td>IX-18<\/td>\n<td>Foromo Pierre Guilavogui<\/td>\n<td>Toum\u00f6la: Towards an AI-based Medicinal Plant Leveraging Solution to Cure Diseases using Retrieval-Augmented Generation and Computer Vision<\/td>\n<\/tr>\n<tr>\n<td>IX-19<\/td>\n<td>Mum Mayiik Kiir Deng<\/td>\n<td>CropGuard: Real-Time Bird Detection and Adaptive Deterrence System for Crop Protection<\/td>\n<\/tr>\n<tr>\n<td>IX-20<\/td>\n<td>Seani Rananga<\/td>\n<td>Translation Evaluation for Multilingual Misinformation Detection: Comparing Gemini2.0 Flash and NLLB-200 for English\u2192isiZulu\/Sepedi<\/td>\n<\/tr>\n<tr>\n<td>IX-21<\/td>\n<td>TWITE NDEZE<\/td>\n<td>AI-Powered Tuberculosis Screening: Non-Invasive Diagnosis from Cough Audio<\/td>\n<\/tr>\n<tr>\n<td>IX-22<\/td>\n<td>Safia Gibril Nouman<\/td>\n<td>Finding Memo: The Hidden Influence of Memorization in Large Language Models\u2019 Performance \u2013 A Critical Analysis of Benchmark Evaluation<\/td>\n<\/tr>\n<tr>\n<td>IX-23<\/td>\n<td>Karim Konate<\/td>\n<td>Mod\u00e8les d\u2019apprentissage supervis\u00e9 pour l\u2019estimation de la densit\u00e9 du trafic routier \u00e0 partir de donn\u00e9es de trajectoires<\/td>\n<\/tr>\n<tr>\n<td>IX-24<\/td>\n<td>Robert Karienye Njeri<\/td>\n<td>AI-Driven estimation of carbon sequestration using environmental and sensor data<\/td>\n<\/tr>\n<tr>\n<td>IX-25<\/td>\n<td>Yusupha Sinjanka<\/td>\n<td>From Climate Data to Maternal and Child Health: Heatwave-Attributable Preterm Birth Risk in Northern Togo<\/td>\n<\/tr>\n<tr>\n<td>IX-26<\/td>\n<td>Ayuob Adan Abdi<\/td>\n<td>CaawiyeAI: Text-to-Speech Platform for Somali Dialects<\/td>\n<\/tr>\n<tr>\n<td>IX-27<\/td>\n<td>Hiwot Habtamu Aderaw<\/td>\n<td>Multimodal Deep Learning for Pulmonary Disease Diagnosis Using Respiratory Sounds and Clinical History<\/td>\n<\/tr>\n<tr>\n<td>IX-28<\/td>\n<td>AFFOSSOGBE M\u00e8tolidji Moquilas Raymond<\/td>\n<td>Predictive Maintenance of Rural Water Pumps : From Sequential Bayesian Modeling to MLOps Architecture Deployment<\/td>\n<\/tr>\n<tr>\n<td>IX-29<\/td>\n<td>Soutongnoma Alex Fay\u00e7al OUEDRAOGO<\/td>\n<td>Contributing to Speech-to-Speech Translation for African Low-Resource Languages : Study of French-Moor\u00e9 Pair<\/td>\n<\/tr>\n<tr>\n<td>IX-30<\/td>\n<td>Ipyana Mwaisekwa<\/td>\n<td>GRAINSENTINEL: An Integrated IoT-TinyML System for Real-Time Monitoring of Post-Harvest Maize Weevil Infestations: Design, Implementation, and Field Deployment<\/td>\n<\/tr>\n<tr>\n<td>IX-31<\/td>\n<td>Aggrey Moyo<\/td>\n<td>Machine Learning-Driven Water Quality Detection For Irrigation Use In African Rivers: A Case Study For Botswana's Notwane River<\/td>\n<\/tr>\n<tr>\n<td>IX-32<\/td>\n<td>Jos\u00e9 Cristian Kutala Vale<\/td>\n<td>BioLingo: Multimodal Machine Learning for Automated Species Identification and Behavior Analysis in Angolan Biodiversity<\/td>\n<\/tr>\n<tr>\n<td>IX-33<\/td>\n<td>Lucilene Gomes<\/td>\n<td>Optimizing Education through AI in Cabo Verde: Insights from Secondary Education in Cabo Verde<\/td>\n<\/tr>\n<tr>\n<td>IX-34<\/td>\n<td>Al housseynou NIANG<\/td>\n<td>Application of RGB drone imagery and Artificial Intelligence (AI) to count millet plants and estimate their coverage rate at the plot scale in an agroforestry system dominated by Faidherbia albida in Senegal.<\/td>\n<\/tr>\n<tr>\n<td>IX-35<\/td>\n<td>Mtende Kuyokwa<\/td>\n<td>Development of an Explainable AI model for AI-assisted TB-detection from X-ray images<\/td>\n<\/tr>\n<tr>\n<td>IX-36<\/td>\n<td>Mohamed-Saiaf ALIAMINI<\/td>\n<td>Towards an early detection and improved management of schistosomiasis in Africa through AI and the One Health approach<\/td>\n<\/tr>\n<tr>\n<td>IX-37<\/td>\n<td>MVONE AYORATOU Arthur<\/td>\n<td>Humanizing AI for African SMEs: Addressing the \u201cRobotic Gap\u201d in WhatsApp Automation via Prompt Engineering<\/td>\n<\/tr>\n<tr>\n<td>IX-38<\/td>\n<td>Idris Nguema Obama Muhamed<\/td>\n<td>SABIA: AFRICAN BIOMETRIC INTELLIGENT ADMISSIONS SYSTEM Intelligent enrolment management system for African universities and educational centres with biometric verification and AI-powered documentation.<\/td>\n<\/tr>\n<tr>\n<td>IX-39<\/td>\n<td>Stephen Fashoto<\/td>\n<td>Exploring the use of ensemble models on Backdoor and label-flipping attacks in credit card fraud detection<\/td>\n<\/tr>\n<tr>\n<td>IX-40<\/td>\n<td>Rahma Boghale<\/td>\n<td>MauriCorpus: Bridging the Gap Between Arabic and Mauritanian African Languages<\/td>\n<\/tr>\n<tr>\n<td>IX-41<\/td>\n<td>Folasewa Abdulsalam<\/td>\n<td>Is Your Brain Overloaded? Detecting Mental Workload from EEG Signals<\/td>\n<\/tr>\n<tr>\n<td>IX-42<\/td>\n<td>Dimeth Nouicer<\/td>\n<td>RL4EVRP: A Declarative Modeling Framework for Deep Reinforcement Learning on Vehicle and Electric Vehicle Routing Problems<\/td>\n<\/tr>\n<tr>\n<td>IX-43<\/td>\n<td>Irene Phoebe Akitwi<\/td>\n<td>Food Insecurity: PhaseZero Agent Based Model for Effective Aid Distribution Strategies<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><\/google-sheets-html-origin><\/p>\n<\/div><\/div>\n\n<div class=\"et_pb_tab_1 et_pb_tab clearfix et_pb_module et_flex_module\"><div class=\"et_pb_tab_content et_flex_module\"><p><google-sheets-html-origin><\/p>\n<style type=\"text\/css\"><!--td {border: 1px solid #cccccc;}br {mso-data-placement:same-cell;}--><\/style>\n<table xmlns=\"http:\/\/www.w3.org\/1999\/xhtml\" cellspacing=\"0\" cellpadding=\"0\" dir=\"ltr\" border=\"1\" data-sheets-root=\"1\" data-sheets-baot=\"1\">\n<colgroup>\n<col width=\"83\" \/>\n<col width=\"212\" \/>\n<col width=\"1488\" \/><\/colgroup>\n<tbody>\n<tr>\n<td>Poster IDs<\/td>\n<td>Poster presenter<\/td>\n<td>Poster title<\/td>\n<\/tr>\n<tr>\n<td>GP-01<\/td>\n<td>Nyakallo Kotsi<\/td>\n<td>Dual-Model Approach in Machine Learning for Cancer Risk and Type Prediction<\/td>\n<\/tr>\n<tr>\n<td>GP-02<\/td>\n<td>Peter Mulindwa<\/td>\n<td>ACRES Data Extractor: An LLM-Powered Multi-Stage Pipeline for Automated Data Extraction in Systematic Reviews<\/td>\n<\/tr>\n<tr>\n<td>GP-03<\/td>\n<td>Tevin Omondi<\/td>\n<td>TaiEye: Leveraging Explainable AI for Trustworthy Misinformation Detection<\/td>\n<\/tr>\n<tr>\n<td>GP-04<\/td>\n<td>Jos\u00e9 Afonso<\/td>\n<td>Tella Turismo<\/td>\n<\/tr>\n<tr>\n<td>GP-05<\/td>\n<td>Tendai Jack<\/td>\n<td>WetLens: AI-Powered Wetland Intelligence for Africa \u2014 Real-Time Water Quality Monitoring, Prediction, and Anomaly Detection for Smarter Conservation Decisions<\/td>\n<\/tr>\n<tr>\n<td>GP-06<\/td>\n<td>Samuel Babalola<\/td>\n<td>An AI Powered IoT System for Real-Time, Non-Invasive Monitoring of Soil Biodiversity Using Bioacoustics<\/td>\n<\/tr>\n<tr>\n<td>GP-07<\/td>\n<td>Tiphaine Roxane Oluwaf\u00e8mi<\/td>\n<td>VoxBenin: Voice translation system Between Bariba, French, and English<\/td>\n<\/tr>\n<tr>\n<td>GP-08<\/td>\n<td>Albert Ankomah Dodoo<\/td>\n<td>Adaptive Memory-Based Cuckoo Search for High-Dimensional Feature Optimization in Non-Stationary Fraud Detection Systems<\/td>\n<\/tr>\n<tr>\n<td>GP-09<\/td>\n<td>Leslie Erika KOUAMOUO NDANGANG<\/td>\n<td>Next-Generation Urban Mobility for Developing Countries: AI-Supported Digital Twin Framework<\/td>\n<\/tr>\n<tr>\n<td>GP-10<\/td>\n<td>TSHIUNZA TSHIBUABUA PAULIN<\/td>\n<td>SPATIO-TEMPORAL COMPUTER VISION FOR URBAN CRIME ANALYSIS AND POLICE STATION ALLOCATION IN KINSHASA<\/td>\n<\/tr>\n<tr>\n<td>GP-11<\/td>\n<td>Enoch Toomey<\/td>\n<td>Architecting an Intelligent, Trust-Minimized Freelance Marketplace for Data-Scarce African Digital Economies<\/td>\n<\/tr>\n<tr>\n<td>GP-12<\/td>\n<td>Chinonyelum Igwe<\/td>\n<td>Clinical Resource\u2010Adapted Benchmark<\/td>\n<\/tr>\n<tr>\n<td>GP-13<\/td>\n<td>Chinenye Anikwenze<\/td>\n<td>An Automated, Regulation-Aware PII Cleansing Workflow for Nigerian Financial Documents Using n8n and Google Gemini<\/td>\n<\/tr>\n<tr>\n<td>GP-14<\/td>\n<td>Seid Muhie Yimam<\/td>\n<td>Build African language data, the right way<\/td>\n<\/tr>\n<tr>\n<td>GP-15<\/td>\n<td>Flora Oladipupo<\/td>\n<td>Eng-PidginEdu: A Large-Scale Educational Translation Dataset for Nigerian Pidgin through Glossary-Augumentation<\/td>\n<\/tr>\n<tr>\n<td>GP-16<\/td>\n<td>Delchere DON-TSA<\/td>\n<td>PREDICTIVE MODELS FOR INORGANIC MATERIALS THERMOELECTRIC PROPERTIES WITH MACHINE LEARNING<\/td>\n<\/tr>\n<tr>\n<td>GP-17<\/td>\n<td>Obed Honour Eje<\/td>\n<td>Adaptive Low-Light Enhancement for Road Anomaly Detection: A Multi-Architecture Benchmark and Edge Deployment Study<\/td>\n<\/tr>\n<tr>\n<td>GP-18<\/td>\n<td>Isingizwe Uwase Vicky<\/td>\n<td>Evaluating the Influence of AI-Generated Explanations on Vulnerability Assessment Decisions in Cybersecurity<\/td>\n<\/tr>\n<tr>\n<td>GP-19<\/td>\n<td>Freedmore Sidume<\/td>\n<td>Clean AUC Is Not Enough: Architecture-Specific Failure Modes of TB Classifiers under Digitisation Artifacts<\/td>\n<\/tr>\n<tr>\n<td>GP-20<\/td>\n<td>Manuel Bobie Amankwatia<\/td>\n<td>The Golden Draw Effect: Instability of Peak Performance under Hyperparameter Optimization<\/td>\n<\/tr>\n<tr>\n<td>GP-21<\/td>\n<td>Abdelkader TAJTIT<\/td>\n<td>Detection of Malicious Images Generated by Large Language Models Using Graph Neural Networks and Feature-Based Representations<\/td>\n<\/tr>\n<tr>\n<td>GP-22<\/td>\n<td>jide Ebenezer Taiwo Akinsola<\/td>\n<td>Artificial Intelligence - Enabled Deep Learning Model for Phishing Attacks Mitigation Using Neural Networks<\/td>\n<\/tr>\n<tr>\n<td>GP-23<\/td>\n<td>Thandolwethu Nhlabatsi<\/td>\n<td>SiSwati Corpus:A Proposed Solution For Curating SiSwati Textual Data<\/td>\n<\/tr>\n<tr>\n<td>GP-24<\/td>\n<td>Chinyere Chioma Isiekwene<\/td>\n<td>Blocking and Rate-Limiting for Detection and Mitigation of DDoS Attacks Using a Hybrid-Ensemble Deep Learning Model (HEDDS-Net)<\/td>\n<\/tr>\n<tr>\n<td>GP-25<\/td>\n<td>Aquilivio Cumbe<\/td>\n<td>Ziba: A Data-Driven Platform for Real-Time Informal Transit Information in Mozambique<\/td>\n<\/tr>\n<tr>\n<td>GP-26<\/td>\n<td>Michelle Wanjiku Thuo<\/td>\n<td>Safety Drift in Offline First AI Systems: Rethinking AI Safety for Low Connectivity Environments<\/td>\n<\/tr>\n<tr>\n<td>GP-27<\/td>\n<td>Julie Allarabaye<\/td>\n<td>LSTM-Based Next-Day Flood Prediction in N'Djamena Using Multivariate Climate Time Series<\/td>\n<\/tr>\n<tr>\n<td>GP-28<\/td>\n<td>Kossivi Josu\u00e9 HUNNAKEY<\/td>\n<td>Flood Risk Modelling in Togo<\/td>\n<\/tr>\n<tr>\n<td>GP-29<\/td>\n<td>Oluwaseun A. Ajayi<\/td>\n<td>What Do Prompts Reveal About Model Capabilities in Low-Resource Languages?<\/td>\n<\/tr>\n<tr>\n<td>GP-30<\/td>\n<td>Bandile Malaza<\/td>\n<td>A Multimodal, Geospatial, and Retrieval-Augmented Machine Learning Framework for Maternal and Child Health Decision Support in Eswatini<\/td>\n<\/tr>\n<tr>\n<td>GP-31<\/td>\n<td>Isang Cosmos Obodom<\/td>\n<td>NLP-Driven Cross-Generational Tacit Knowledge Synthesis: The Knowledge Confluence Framework for African Organizations<\/td>\n<\/tr>\n<tr>\n<td>GP-32<\/td>\n<td>Olaolu Adeniyi<\/td>\n<td>Authenticating the Agent: Applying Evidentiary Gatekeeping Standards to Causal Attribution in LLM Agent Security Incidents<\/td>\n<\/tr>\n<tr>\n<td>GP-33<\/td>\n<td>Moses Daudu<\/td>\n<td>Tone on a Budget: A Reference-Free Metric for Lexical Tone in Massively-Multilingual TTS<\/td>\n<\/tr>\n<tr>\n<td>GP-34<\/td>\n<td>Marie Rose Mwiseneza<\/td>\n<td>A Cross-Cultural Analysis of Extremism Labels in African Contexts<\/td>\n<\/tr>\n<tr>\n<td>GP-35<\/td>\n<td>NYEMB NDJEM EONE ANDR\u00c9 K\u00c9VIN<\/td>\n<td>WEAK TONE SUPERVISION FOR STREAMING ASR IN LOW-RESOURCE TONALLANGUAGES<\/td>\n<\/tr>\n<tr>\n<td>GP-36<\/td>\n<td>Hatem Haddad<\/td>\n<td>SEDR-Seq2P: A Lightweight Dilated Residual Sequence-to-Point Network for Multi-Task Industrial NILM<\/td>\n<\/tr>\n<tr>\n<td>GP-37<\/td>\n<td>Ismail Abdulhakin Mohamud<\/td>\n<td>Compact Autoencoder Representations for Historical Retrieval of African Rainfall Anomalies<\/td>\n<\/tr>\n<tr>\n<td>GP-38<\/td>\n<td>Nnamdi Augustus Isichei<\/td>\n<td>Characterising the Nigerian Stock Exchange for Machine Learning-Based Portfolio Research<\/td>\n<\/tr>\n<tr>\n<td>GP-39<\/td>\n<td>Grace Wanja<\/td>\n<td>Tunda: AI-Powered Financial Assistant for Ugandan Micro and Small Enterprises<\/td>\n<\/tr>\n<tr>\n<td>GP-40<\/td>\n<td>Martin Koome Karimi<\/td>\n<td>Contactless Neonatal Monitoring using Wi-Fi Channel State Information and Deep Learning for Low-resource Settings in Sub-Saharan Africa<\/td>\n<\/tr>\n<tr>\n<td>GP-41<\/td>\n<td>Richard Omoefe Oveh<\/td>\n<td>Artificial Intelligence Applications in Healthcare in Sub-Saharan Africa: A Scoping Review<\/td>\n<\/tr>\n<tr>\n<td>GP-42<\/td>\n<td>William Obino Kengere<\/td>\n<td>Bringing Modern GPU Compute to Underrepresented Hardware: A Mojo\/Level Zero Implementation for Intel Arc (Battlemage Xe2)<\/td>\n<\/tr>\n<tr>\n<td>GP-43<\/td>\n<td>Oloruntobi Madamori<\/td>\n<td>Low-Cost, Vendor-Agnostic Time-Series Forecasting for Energy Telemetry in Resource-Constrained African Deployments<\/td>\n<\/tr>\n<tr>\n<td>GP-44<\/td>\n<td>Winny Chelangat Sigilai<\/td>\n<td>The State of AI Ready Data in Africa<\/td>\n<\/tr>\n<tr>\n<td>GP-45<\/td>\n<td>Boniface Chukwuemeka Godwin<\/td>\n<td>Attention-Guided Structural Pruning for Cross-Modal Alignment Preservation in Vision-Language Models<\/td>\n<\/tr>\n<tr>\n<td>GP-46<\/td>\n<td>Mjuni Masota<\/td>\n<td>Tanzania Legal Guide AI<\/td>\n<\/tr>\n<tr>\n<td>GP-47<\/td>\n<td>Shiloh Adebisi Oni<\/td>\n<td>AfriVTON-Bench: Evaluating the Robustness of Virtual Try-On Models to African Textile Patterns and Garment Structures<\/td>\n<\/tr>\n<tr>\n<td>GP-48<\/td>\n<td>Mireille Gloria Founmilayo ODOUNFA<\/td>\n<td>Multimodal Multitask Deep Learning for Chili Pepper Disease Diagnosis and Severity Estimation Using Images and Agrometeorological Data.<\/td>\n<\/tr>\n<tr>\n<td>GP-49<\/td>\n<td>Reem Osama Omer Ahmed<\/td>\n<td>Where you're born in Somalia predicts whether you survive childhood.<\/td>\n<\/tr>\n<tr>\n<td>GP-50<\/td>\n<td>Joshua Salako<\/td>\n<td>Toads, Tunnels, and Transformers: Deep Learning for Detection and Identification of Western Leopard Toads<\/td>\n<\/tr>\n<tr>\n<td>GP-51<\/td>\n<td>Simreteab Mekbib<\/td>\n<td>AI-Driven Digital Transformation for Public Service Delivery:Lessons from Large-Scale Government Systems in Ethiopia<\/td>\n<\/tr>\n<tr>\n<td>GP-52<\/td>\n<td>Ameni Selmi<\/td>\n<td>Deployment of a Secure AI-Based Solution on an Energy Management Platform<\/td>\n<\/tr>\n<tr>\n<td>GP-53<\/td>\n<td>Momo Kell<\/td>\n<td>AI-Assisted Chest X-Ray Screening for Rural Cameroonian Clinics: Transfer Learning from NIH ChestX-ray14 with External Validation on Local Clinical Data<\/td>\n<\/tr>\n<tr>\n<td>GP-54<\/td>\n<td>Med Aymen Alimi<\/td>\n<td>Semantic Prior Art Retrieval for Utility Patents &amp; Industrial Designs<\/td>\n<\/tr>\n<tr>\n<td>GP-55<\/td>\n<td>Mohamed Elmi Ahmed<\/td>\n<td>Interpretable Modeling of Sub-National Rainfall Variability in Somalia Using Satellite-Derived Climate Data<\/td>\n<\/tr>\n<tr>\n<td>GP-56<\/td>\n<td>Lauriane Mbagdje Dorenan<\/td>\n<td>MEDBOT: Resource-Efficient Adaptation of a Multilingual Large Language Model for Preliminary Healthcare Guidance<\/td>\n<\/tr>\n<tr>\n<td>GP-57<\/td>\n<td>Samuel Izuchukwu Chukwuma<\/td>\n<td>From Awareness to Action: An Agentic AI-Driven Personalized Climate Education System for Behavioral Change in Low-Resource Nigerian Communities<\/td>\n<\/tr>\n<tr>\n<td>GP-58<\/td>\n<td>Mar\u00e8me DIOP<\/td>\n<td>WORI: Constructing and Linguistically Validating a Wolof Reverse Instruction Dataset for Low-Resource NLP<\/td>\n<\/tr>\n<tr>\n<td>GP-59<\/td>\n<td>Yawogan Jean Eudes Gbodjo<\/td>\n<td>Assessing the Generalization of Geospatial Embeddings for Temporal Transfer in Land Cover Classification<\/td>\n<\/tr>\n<tr>\n<td>GP-60<\/td>\n<td>Josu\u00e9 JITIMAY<\/td>\n<td>Regulus: AI-Assisted Policy Simulation for African Governance<\/td>\n<\/tr>\n<tr>\n<td>GP-61<\/td>\n<td>Dimeth Nouicer<\/td>\n<td>Beyond LP and MILP: Open-Source frameworks for advanced optimization models in energy system planning review<\/td>\n<\/tr>\n<tr>\n<td>GP-62<\/td>\n<td>Delight Abioye<\/td>\n<td>Closing the Lineage Gap: A Machine Learning Pipeline for Multidrug-Resistant Tuberculosis Prediction in Nigerian Clinical Isolates<\/td>\n<\/tr>\n<tr>\n<td>GP-63<\/td>\n<td>Gb\u00e8gninougbo Aurel Davy TCHOKPONHOUE<\/td>\n<td>Uncertainty Estimation in Pathology Foundation Models via Deep Mutual Learning<\/td>\n<\/tr>\n<tr>\n<td>GP-64<\/td>\n<td>Jeremiah Fadugba<\/td>\n<td>AI for Low cost PET Image Reconstruction<\/td>\n<\/tr>\n<tr>\n<td>GP-65<\/td>\n<td>Abiy Wondimu Hailemariam<\/td>\n<td>Base Encoder Choice Dominates: Continued Pre-training and Tokenizer Adaptation for Low-Resource Amharic Legal NLP<\/td>\n<\/tr>\n<tr>\n<td>GP-66<\/td>\n<td>Refuoe Mokhosi<\/td>\n<td>Entity-Level Sentiment Analysis for Lesotho's Sesotho Using African Multilingual Language Models<\/td>\n<\/tr>\n<tr>\n<td>GP-67<\/td>\n<td>Nada Salah<\/td>\n<td>Effect of Brain Parcellation Choice on Resting-State Functional Connectivity Maps<\/td>\n<\/tr>\n<tr>\n<td>GP-68<\/td>\n<td>Samuel Ibiyemi<\/td>\n<td>Learning to Walk with a Laptop: CPU-Only Quadrupedal Locomotion for African Terrain<\/td>\n<\/tr>\n<tr>\n<td>GP-69<\/td>\n<td>Emanda Hailu<\/td>\n<td>Amharic legal-AI system for detecting contradictions in Ethiopian Federal Supreme Court Cassation decisions<\/td>\n<\/tr>\n<tr>\n<td>GP-70<\/td>\n<td>Kelvin Ndambuki<\/td>\n<td>Triaging Maternal Health LLMs With Hierarchical Intent Models<\/td>\n<\/tr>\n<tr>\n<td>GP-71<\/td>\n<td>Kasim Chambulilo<\/td>\n<td>Geospatial AI for Malaria Early Warning in Tanzania: A machine-learning model benchmark for 2025\u20132030<\/td>\n<\/tr>\n<tr>\n<td>GP-72<\/td>\n<td>Tumo Kgabeng<\/td>\n<td>Self-Supervised Learning with Domain-Adaptive Augmentations for Low-Data ECG Classification<\/td>\n<\/tr>\n<tr>\n<td>GP-73<\/td>\n<td>Letso Jessica Manyanda<\/td>\n<td>Embedding Architecture as a Novel Data Model: Contrastive Retrieval vs. Generative Bridging in Multi-Modal RAG Systems<\/td>\n<\/tr>\n<tr>\n<td>GP-74<\/td>\n<td>Abdel Kader Younoussi Saley<\/td>\n<td>Efficient Quantized Low-Rank Adaptation of Large Language Models for Financial NLP on the FLARE Benchmark<\/td>\n<\/tr>\n<tr>\n<td>GP-75<\/td>\n<td>Monso\u00ef Consolas N\u00e9vinas HODONOU<\/td>\n<td>Spatiotemporal Predictability of Tropical Rainfall via Deep Learning: Implications for Adaptive Cropping Calendars in West Africa<\/td>\n<\/tr>\n<tr>\n<td>GP-76<\/td>\n<td>Vuyo Ngcamphalala<\/td>\n<td>ADVANCING ECONOMIC POLICY THROUGH PREDICTIVE AI AND EXPLAINABLE AI: OPTIMIZING NATIONAL BUDGETS AND FORECASTING GDP<\/td>\n<\/tr>\n<tr>\n<td>GP-77<\/td>\n<td>Muhammed Yahia Gaffar Saeed<\/td>\n<td>LLMpedia: A Transparent Framework to Materialize an LLM\u2019s Encyclopedic Knowledge at Scale<\/td>\n<\/tr>\n<tr>\n<td>GP-78<\/td>\n<td>hana Mekonen Tamiru<\/td>\n<td>Evaluating and Enhancing Large Language Models for Amharic Maternal and Child Health Question Answering: A Work in Progress<\/td>\n<\/tr>\n<tr>\n<td>GP-79<\/td>\n<td>Charlotte Abraham<\/td>\n<td>AdinkraMath: A Computational Framework for the Mathematical Representation, Symmetry Analysis, and Reconstruction of Ghanaian Adinkra Symbols<\/td>\n<\/tr>\n<tr>\n<td>GP-80<\/td>\n<td>Daniel Akhabue<\/td>\n<td>Does Federated Learning Need a Crowd? Client Count, Not Heterogeneity, Explains FedAvg\u2019s Failure on Real Edge Hardware<\/td>\n<\/tr>\n<tr>\n<td>GP-81<\/td>\n<td>Imen Habibi<\/td>\n<td>Multi-Agent LLM System for EMS Decision Support<\/td>\n<\/tr>\n<tr>\n<td>GP-82<\/td>\n<td>Elie Mulamba<\/td>\n<td>Benchmarking Multilingual Information Retrieval for Low-Resource Languages<\/td>\n<\/tr>\n<tr>\n<td>GP-83<\/td>\n<td>Obongofon Udombat<\/td>\n<td><a class=\"in-cell-link\" href=\"http:\/\/iBok.AI\" target=\"_blank\" rel=\"noopener\">iBok.AI<\/a><\/td>\n<\/tr>\n<tr>\n<td>GP-84<\/td>\n<td>Calvin Mac Phillips<\/td>\n<td>YOLO vs. Transformer Detectors for Waste Sorting on Edge Devices<\/td>\n<\/tr>\n<tr>\n<td>GP-85<\/td>\n<td>GUEDEZOUME BEHANZIN MARTHE PAULETTE<\/td>\n<td>Robustness of Machine Learning Algorithms to Skewness, Spatial Dependence, and Sample Size Compared to BME in Soil Fertility Prediction<\/td>\n<\/tr>\n<tr>\n<td>GP-86<\/td>\n<td>Jacob Agyekum<\/td>\n<td>Predicting Malaria Transmission in Ghana\u2019s Upper West Region: A Machine Learning Tournament with Explainable AI<\/td>\n<\/tr>\n<tr>\n<td>GP-87<\/td>\n<td>Oluwafemi Azeez<\/td>\n<td>Africa AI Maturity Matrix<\/td>\n<\/tr>\n<tr>\n<td>GP-88<\/td>\n<td>oleya kgomotso<\/td>\n<td>Pneumonia Detection Using Explainable Convolutional Neural Networks<\/td>\n<\/tr>\n<tr>\n<td>GP-89<\/td>\n<td>Samkelo Msibi<\/td>\n<td>Algorithmic Adaptations: Evaluating FedAvg, FedProx, FedNova, and SCAFFOLD for Robustness Against Drift and Leakage<\/td>\n<\/tr>\n<tr>\n<td>GP-90<\/td>\n<td>Maqsudhat Bisiriyu<\/td>\n<td>SicklePrenatal: Biometric-Guided Deep Learning for Early Sickle Cell Risk Detection from Fetal Ultrasound<\/td>\n<\/tr>\n<tr>\n<td>GP-91<\/td>\n<td>Seipone Talama Sebina<\/td>\n<td>A Laptop with No GPU Can Flag Brain Tumours on MRI at 93% Accuracy<\/td>\n<\/tr>\n<tr>\n<td>GP-92<\/td>\n<td>Alvareze Ntafatiro<\/td>\n<td>Towards an African-Context Behavioral Screening Framework for Early Detection of ASD and ADHD : A Computer Vision Approach<\/td>\n<\/tr>\n<tr>\n<td>GP-93<\/td>\n<td>DAHOUE Labi Alexandre<\/td>\n<td>Hybrid AquaTwin-Drip Digital Twin for Drip Irrigation Management<\/td>\n<\/tr>\n<tr>\n<td>GP-94<\/td>\n<td>Muhammad Abdullahi Said<\/td>\n<td>Understanding and Steering African Language Representations in Large Language Models<\/td>\n<\/tr>\n<tr>\n<td>GP-95<\/td>\n<td>Abass Oguntade<\/td>\n<td>Subliminal Learning in Large Language Models<\/td>\n<\/tr>\n<tr>\n<td>GP-96<\/td>\n<td>Fitahiana RAZAFIMAHENINA<\/td>\n<td>A Deep Learning approach to cluster African countries\u2019 development Structures<\/td>\n<\/tr>\n<tr>\n<td>GP-97<\/td>\n<td>Tejumade Afonja<\/td>\n<td>From Noisy Oracles to Useful Constraints: LLM-Guided Constraint Selection for Synthetic Tabular Data<\/td>\n<\/tr>\n<tr>\n<td>GP-98<\/td>\n<td>Abdel, Mfougouon Njupoun<\/td>\n<td>GATED TARGET PROPAGATION FOR COMPOSITIONAL GENERALIZATION IN CONTINUAL LEARNING<\/td>\n<\/tr>\n<tr>\n<td>GP-99<\/td>\n<td>Fatima Ez-Zahraa Bazay<\/td>\n<td>Few-Shot Cross-Site Domain Generalization for Multi-Site Autism Brain Network Classificati<\/td>\n<\/tr>\n<tr>\n<td>GP-100<\/td>\n<td>Favour Falade<\/td>\n<td>MACHINE LEARNING-BASED PREDICTION OF CARBAPENEM RESISTANCE IN KLEBSIELLA PNEUMONIAE FROM WHOLE-GENOME SEQUENCING DATA: BRIDGING THE GAP IN AFRICAN GENOMIC SURVEILLANCE<\/td>\n<\/tr>\n<tr>\n<td>GP-101<\/td>\n<td>Peter Ugege<\/td>\n<td>Interpretable Multi-Source Machine Learning for Urban Classification in Data-Scarce Regions<\/td>\n<\/tr>\n<tr>\n<td>GP-102<\/td>\n<td>Terefe Feyisa<\/td>\n<td>DCMA: Quantifying Data\u2010Centric AI Readiness in Public Sector Systems<\/td>\n<\/tr>\n<tr>\n<td>GP-103<\/td>\n<td>Innocent Chikwanda<\/td>\n<td>Sustainable Data Generation for Accelerating African AI (SDG4A3): A Systems Thinking Analysis<\/td>\n<\/tr>\n<tr>\n<td>GP-104<\/td>\n<td>Mgasa Robert<\/td>\n<td>Edge-Deployable Multimodal Video Understanding for Real-Time CCTV Event Interpretation<\/td>\n<\/tr>\n<tr>\n<td>GP-105<\/td>\n<td>Jesse-Paul Osemeke<\/td>\n<td>Mothertongue: Towards a Language-Agnostic Conversational AI Framework for Assessing and Teaching Underrepresented African Languages<\/td>\n<\/tr>\n<tr>\n<td>GP-106<\/td>\n<td>Nana Sam Yeboah<\/td>\n<td>N-grams vs.Neural Models for Low-Resource African Languages: When to Switch?<\/td>\n<\/tr>\n<tr>\n<td>GP-107<\/td>\n<td>Praise Amonye<\/td>\n<td>From Value-at-Risk to Health-at-Risk: A Conformal AI Framework for Epidemic Shock Prediction in Sub-Saharan Africa<\/td>\n<\/tr>\n<tr>\n<td>GP-108<\/td>\n<td>Edward Ajayi<\/td>\n<td>Language Diversity: Evaluating Language Usage and AI Performance on African Languages in Digital Spaces<\/td>\n<\/tr>\n<tr>\n<td>GP-109<\/td>\n<td>Gertrude Hattoh<\/td>\n<td>Moremi Bio Agent: Using Neisseria meningitidis Reference Data For The Double Blinded Validation of A General Purpose Biology-Trained Reasoning Model for Pathogen and Antigen Discovery<\/td>\n<\/tr>\n<tr>\n<td>GP-110<\/td>\n<td>Ayman Tarig<\/td>\n<td>Generative Unitary Synthesis via the Generative Quantum Eigensolver<\/td>\n<\/tr>\n<tr>\n<td>GP-111<\/td>\n<td>Khadija Edarzi<\/td>\n<td>Out-of-Distribution Generalisation in Multimodal Neuroimaging<\/td>\n<\/tr>\n<tr>\n<td>GP-112<\/td>\n<td>Mohammed Esameldin Adam Nagi<\/td>\n<td>Interpretability of InstaNovo: A De Novo Sequencing Model<\/td>\n<\/tr>\n<tr>\n<td>GP-113<\/td>\n<td>Alamin Musa Magaga<\/td>\n<td>Machine Learning for Predicting Child Stunting in Nigeria: Inequality, Geography, and Policy Targeting<\/td>\n<\/tr>\n<tr>\n<td>GP-114<\/td>\n<td>St. Mark Adebayo<\/td>\n<td>Privacy-Aware Hybrid Local-Cloud RAG Routing for Resource-Constrained Settings<\/td>\n<\/tr>\n<tr>\n<td>GP-115<\/td>\n<td>Olamide Lawal<\/td>\n<td>Mamba or Attention? A Systematic Encoder-Decoder Study of Token Mixing for Brain Tumour Segmentation on BraTS-Africa<\/td>\n<\/tr>\n<tr>\n<td>GP-116<\/td>\n<td>Oluwadarasimi Olowookere-ajayi<\/td>\n<td>Towards Understanding Cross-Lingual Representation Transfer in Low-Resource African Languages<\/td>\n<\/tr>\n<tr>\n<td>GP-117<\/td>\n<td>Dagmawi Misker Gedamu<\/td>\n<td>Confidently Wrong: Measuring and Mitigating Calibration Risks in LLMs for African Languages<\/td>\n<\/tr>\n<tr>\n<td>GP-118<\/td>\n<td>Aishat Adebanjo<\/td>\n<td>PiezoBot++: Development of a Hybrid Solar-Piezoelectric Autonomous Robot for Sustainable Off-Grid Energy in Field Robotics and Smart Systems<\/td>\n<\/tr>\n<tr>\n<td>GP-119<\/td>\n<td>Kolade Afolabi<\/td>\n<td>HEALTH INSURANCE CLAIMS VERIFICATION THROUGH CRYPTOGRAPHY &amp; ANOMALY DETECTION<\/td>\n<\/tr>\n<tr>\n<td>GP-120<\/td>\n<td>Adedamola Adams<\/td>\n<td>Minimum Viable Triage: Maternal Health Risk Prediction in Low-Resource Contexts<\/td>\n<\/tr>\n<tr>\n<td>GP-121<\/td>\n<td>Ferdaous Idlahcen<\/td>\n<td>From Whole Slide Images to Ovarian Cancer Biomarker Prediction: A Spatial Attention Framework<\/td>\n<\/tr>\n<tr>\n<td>GP-122<\/td>\n<td>Mamadou sa\u00efdou Diallo<\/td>\n<td>EduConnect: A Multilingual AI Recommendation System for Academic Guidance and Opportunity Matching in Africa<\/td>\n<\/tr>\n<tr>\n<td>GP-123<\/td>\n<td>SIMILOLUWA OKUNOWO<\/td>\n<td>On the Reliability of Audio Language Models for African Languages<\/td>\n<\/tr>\n<tr>\n<td>GP-124<\/td>\n<td>Josue Edou<\/td>\n<td>Model-Free Open-Vocabulary 6D Object Pose Estimation<\/td>\n<\/tr>\n<tr>\n<td>GP-125<\/td>\n<td>Esso-Manam MANGANMANA<\/td>\n<td>Satellite-Based Shoreline Mapping and Forecasting of Togolese Coastal Dynamics: A State-Space Approach with Profile Maximum Likelihood and Rauch\u2013Tung\u2013Striebel Smoothing<\/td>\n<\/tr>\n<tr>\n<td>GP-126<\/td>\n<td>Abid\u00e9 Jacqueline ANADI<\/td>\n<td>Study and Design of an Intelligent Chatbot for Preventive Breast Cancer Risk Assessment : Application to the Togolese Context<\/td>\n<\/tr>\n<tr>\n<td>GP-127<\/td>\n<td>Simon Chirambira<\/td>\n<td>Adaptive Edge Vision For Distributed Eye Care - A Frugal AI Framework for Glaucoma Diagnosis in Low Resource Settings<\/td>\n<\/tr>\n<tr>\n<td>GP-128<\/td>\n<td>Muhigiri Ashuza<\/td>\n<td>Bootstrapping TTS for Mashi: A First Speech Dataset and XTTS-v2 Fine-Tuning for a Zero-Resource Bantu Language of DR Congo<\/td>\n<\/tr>\n<tr>\n<td>GP-129<\/td>\n<td>Jovita Mateus<\/td>\n<td>FedHybrid: Building Trustworthy Federated Intrusion Detection for SDN-IoT Networks<\/td>\n<\/tr>\n<tr>\n<td>GP-130<\/td>\n<td>Eunice Adewusi<\/td>\n<td>Do Single-Seed RL Architecture Claims Replicate? A Multi-Seed Audit of Actor\u2013Critic Asymmetry in Sparse-Reward Navigation<\/td>\n<\/tr>\n<tr>\n<td>GP-131<\/td>\n<td>Bernice Akudbilla<\/td>\n<td>Vision-Language Transformers for Chest X-Ray Report Generation with Longitudinal Comparison.<\/td>\n<\/tr>\n<tr>\n<td>GP-132<\/td>\n<td>Simperegui Kora B. Desire<\/td>\n<td>Digital Soil Mapping for Sustainable Land Management in Ghana<\/td>\n<\/tr>\n<tr>\n<td>GP-133<\/td>\n<td>mavuna sebapalo<\/td>\n<td>HYBRID PHYSICS-AWARE SPARSE NEURALNETWORKS (HY-PAS): A UNIFIED FRAMEWORK FOR LEARNING AND SOLVING PDES<\/td>\n<\/tr>\n<tr>\n<td>GP-134<\/td>\n<td>Jean Gabriel Mpuhwezimana<\/td>\n<td>Predicting Child Stunting Risk Across Sub-Saharan Africa: A Multi-Country XGBoost System for Community Health Workers<\/td>\n<\/tr>\n<tr>\n<td>GP-135<\/td>\n<td>Opegbemi Matthias Busoye<\/td>\n<td>Deep Microcompression: Structured Pruning and Bit-packed Quantization for Microcontrollers<\/td>\n<\/tr>\n<tr>\n<td>GP-136<\/td>\n<td>Elhadj melab<\/td>\n<td>Lithology-Integrated Machine Learning Model for Rate of Penetration Prediction in Drilling Operations<\/td>\n<\/tr>\n<tr>\n<td>GP-137<\/td>\n<td>Oluwadamilola Abioye<\/td>\n<td>Benchmarking Lightweight Vision Models for Edge AI in Africa: Nigeria-Inspired Constraints as a Case Study<\/td>\n<\/tr>\n<tr>\n<td>GP-138<\/td>\n<td>Israel Odeajo<\/td>\n<td>NaijaAgroChat: A Multilingual, Retrieval-Augmented Conversational Assistant for Nigerian Smallholder Farmers<\/td>\n<\/tr>\n<tr>\n<td>GP-139<\/td>\n<td>Marc Ayi Agbolo<\/td>\n<td>MOSAIKS: Task-Agnostic Satellite Image Embeddings for Crop Yield Prediction in Togo<\/td>\n<\/tr>\n<tr>\n<td>GP-140<\/td>\n<td>Prudence Kalunga<\/td>\n<td>Development and Evaluation of an Intelligent Deep Learning Framework for Real-Time Detection and Classification of Maize Leaf Diseases Under field conditions in Zambia<\/td>\n<\/tr>\n<tr>\n<td>GP-141<\/td>\n<td>Rosas Behoundja<\/td>\n<td>A MILP Framework for Multi-Product Vehicle Routing Problem with Changeover Costs<\/td>\n<\/tr>\n<tr>\n<td>GP-142<\/td>\n<td>Joa\u00efda Pr\u00e9cieuse Jessouwegb\u00e8 AKOTENOU<\/td>\n<td>Syst\u00e8me de pointage bas\u00e9 sur la reconnaissance faciale<\/td>\n<\/tr>\n<tr>\n<td>GP-143<\/td>\n<td>Castro Gb\u00eam\u00eamali Hounmenou<\/td>\n<td>Hybrid Machine Learning and Bayesian Spatial Modeling for High-Resolution Malaria Risk Mapping in Guinea: A One Health Approach<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><\/google-sheets-html-origin><\/p>\n<\/div><\/div>\n\n<div class=\"et_pb_tab_2 et_pb_tab clearfix et_pb_module et_flex_module\"><div class=\"et_pb_tab_content et_flex_module\"><p><google-sheets-html-origin><\/p>\n<style type=\"text\/css\"><!--td {border: 1px solid #cccccc;}br {mso-data-placement:same-cell;}--><\/style>\n<table xmlns=\"http:\/\/www.w3.org\/1999\/xhtml\" cellspacing=\"0\" cellpadding=\"0\" dir=\"ltr\" border=\"1\" data-sheets-root=\"1\" data-sheets-baot=\"1\">\n<colgroup>\n<col width=\"76\" \/>\n<col width=\"193\" \/>\n<col width=\"864\" \/><\/colgroup>\n<tbody>\n<tr>\n<td>Poster IDs<\/td>\n<td>Poster presenter<\/td>\n<td>Poster title<\/td>\n<\/tr>\n<tr>\n<td>PP-01<\/td>\n<td>Innocent Nyalala<\/td>\n<td>DGS-Bench: Measuring the Deployment Gap in African Agricultural AI<\/td>\n<\/tr>\n<tr>\n<td>PP-02<\/td>\n<td>Yacouba Diarra<\/td>\n<td>Listen, Attend, Understand: Regularizing E2E Speech Translation on High-Variance Labels<\/td>\n<\/tr>\n<tr>\n<td>PP-03<\/td>\n<td>Rumbidzai Michelle GWINJI<\/td>\n<td>Neural Density Estimation for Presence-Only Modelling of Aedes Mosquito Distributions under Data Sparsity<\/td>\n<\/tr>\n<tr>\n<td>PP-04<\/td>\n<td>Sintayehu Adefires Abebe<\/td>\n<td>RibbAlert: An Integrated Framework for Community-Centered Flood Early Warning in Data-Scarce Regions<\/td>\n<\/tr>\n<tr>\n<td>PP-05<\/td>\n<td>Temidayo Akanmu<\/td>\n<td>EA-MINIGRID-BENCH: A High-Resolution Spatial Benchmark Dataset for Machine Learning in East African Energy Planning<\/td>\n<\/tr>\n<tr>\n<td>PP-06<\/td>\n<td>Hatem Haddad<\/td>\n<td>Zero-Shot and Fine-Tuned TimesFM for Energy Consumption Forecasting Across Heterogeneous Load Dynamics<\/td>\n<\/tr>\n<tr>\n<td>PP-07<\/td>\n<td>Lionel Cedric Gohouede<\/td>\n<td>FloodTriage: A Decision-Theoretic Tri-Fold Deferral Policy Towards Human-in-the-Loop Streamflow Forecasting<\/td>\n<\/tr>\n<tr>\n<td>PP-08<\/td>\n<td>Eliasse Tiao<\/td>\n<td>Data-Driven Lifelines: An AI and Econometric Early-Warning System for SME Survival in Cameroon<\/td>\n<\/tr>\n<tr>\n<td>PP-09<\/td>\n<td>George Okello Ouma<\/td>\n<td>DC-AFL: Drift-Corrected Asynchronous Federated Learning for Infrastructure-Constrained Healthcare Networks<\/td>\n<\/tr>\n<tr>\n<td>PP-10<\/td>\n<td>Lucia Yen Wanchi<\/td>\n<td>TransSLR: A Lightweight Transformer for Sign Language Recognition<\/td>\n<\/tr>\n<tr>\n<td>PP-11<\/td>\n<td>Edna Mugoh<\/td>\n<td>End-to-End Voice Stack for Low-Resource Maternal Health<\/td>\n<\/tr>\n<tr>\n<td>PP-12<\/td>\n<td>Chikezie Amalagu<\/td>\n<td>Directional Hallucinations in African Neural Machine Translation<\/td>\n<\/tr>\n<tr>\n<td>PP-13<\/td>\n<td>Larissa GUENDEHOU<\/td>\n<td>Survival Analysis of Breast Cancer Using Machine Learning: Implications for West African Clinical Contexts<\/td>\n<\/tr>\n<tr>\n<td>PP-14<\/td>\n<td>Kenza KHENISSI<\/td>\n<td>Smart EV Charging Coordination via Agentic AI and Multi-Objective Optimization: A Hybrid LLM-MOPSO Framework<\/td>\n<\/tr>\n<tr>\n<td>PP-15<\/td>\n<td>Ovide KUICHUA<\/td>\n<td>Adaptive Sequential Sampling for Low-Resource Automated Grading in Resource-Constrained Educational Settings<\/td>\n<\/tr>\n<tr>\n<td>PP-16<\/td>\n<td>Chioma Kamalu<\/td>\n<td>Auditing Cross-Domain Stability of SHAP Explanations for Sentiment Classification: English Benchmarks and a Nigerian Case Study<\/td>\n<\/tr>\n<tr>\n<td>PP-17<\/td>\n<td>Bernardin LIGAN<\/td>\n<td>Parameter-Efficient Fine-Tuning of Multispectral Foundation Models for Hyperspectral Image Classification<\/td>\n<\/tr>\n<tr>\n<td>PP-18<\/td>\n<td>Mercy Muchai<\/td>\n<td>PazaBench: Large-Scale ASR Benchmark for Low-Resource Languages in Africa<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><\/google-sheets-html-origin><\/p>\n<\/div><\/div>\n\n<div class=\"et_pb_tab_3 et_pb_tab 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Okolo<\/td>\n<td>AI Startups in Africa<\/td>\n<\/tr>\n<tr>\n<td>DP-03<\/td>\n<td>Adel BENALI<\/td>\n<td>Cactus Disease Dataset V2: A Benchmark for Robust and Uncertainty-Aware Computer Vision in Precision Agriculture<\/td>\n<\/tr>\n<tr>\n<td>DP-04<\/td>\n<td>Mar\u00e8me DIOP<\/td>\n<td>A Renal Histopathology Annotation Dataset from a Sub-Saharan Clinical Setting<\/td>\n<\/tr>\n<tr>\n<td>DP-05<\/td>\n<td>Foutse Yuehgoh<\/td>\n<td>OHADA-CCJA Court Decisions Corpus: A Dataset for African Legal NLP<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><\/google-sheets-html-origin><\/p>\n<\/div><\/div>\n<\/div><\/div>\n<\/div>\n<\/div>\n<\/div>","protected":false},"excerpt":{"rendered":"","protected":false},"author":32,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":"","_links_to":"","_links_to_target":""},"class_list":["post-1160","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/deeplearningindaba.com\/2026\/wp-json\/wp\/v2\/pages\/1160","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/deeplearningindaba.com\/2026\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/deeplearningindaba.com\/2026\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/deeplearningindaba.com\/2026\/wp-json\/wp\/v2\/users\/32"}],"replies":[{"embeddable":true,"href":"https:\/\/deeplearningindaba.com\/2026\/wp-json\/wp\/v2\/comments?post=1160"}],"version-history":[{"count":3,"href":"https:\/\/deeplearningindaba.com\/2026\/wp-json\/wp\/v2\/pages\/1160\/revisions"}],"predecessor-version":[{"id":1189,"href":"https:\/\/deeplearningindaba.com\/2026\/wp-json\/wp\/v2\/pages\/1160\/revisions\/1189"}],"wp:attachment":[{"href":"https:\/\/deeplearningindaba.com\/2026\/wp-json\/wp\/v2\/media?parent=1160"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}