{"id":1224,"date":"2025-08-18T21:48:31","date_gmt":"2025-08-18T21:48:31","guid":{"rendered":"https:\/\/deeplearningindaba.com\/2025\/?page_id=1224"},"modified":"2025-08-20T05:22:48","modified_gmt":"2025-08-20T05:22:48","slug":"posters","status":"publish","type":"page","link":"https:\/\/deeplearningindaba.com\/2025\/posters\/","title":{"rendered":"Posters 2025"},"content":{"rendered":"

Poster session 1: African Datasets, IndabaX, Publications and General posters nos. 60 – 190 – (12:00 – 13:00 & 14:30 – 16:00)<\/p>\n

\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Poster no.<\/td>\nCategory<\/td>\nTitle of poster<\/td>\nFirst name<\/td>\nSurname<\/td>\nPoster link<\/td>\n<\/tr>\n
1<\/td>\nDataset<\/td>\nEnhancing Speech Instruction Understanding and Disambiguation in Robotics<\/td>\nBenedict<\/td>\nQuartey<\/td>\nhttps:\/\/drive.google.com\/file\/d\/1CPL-Ens_zyxov7D1Iq0o_93vIEwHbxJe\/view?usp=sharing<\/a><\/td>\n<\/tr>\n
2<\/td>\nDataset<\/td>\nmwBTFreddy: A Dataset for Flash Flood Damage Assessment in Urban Malawi<\/td>\nGrey<\/td>\nMengezi<\/td>\nhttps:\/\/drive.google.com\/file\/d\/1HtFl5fNCmtzHgsZ38YSGJvd7Uz8McHzv\/view?usp=drive_link<\/a><\/td>\n<\/tr>\n
3<\/td>\nDataset<\/td>\nSesame Plant Segmentation Dataset<\/td>\nIsmail Ismail<\/td>\nTijjani<\/td>\nhttps:\/\/drive.google.com\/file\/d\/19MaDZJ_v1-wp9XqxnBIk1WYFp_7VmY3X\/view?usp=sharing<\/a><\/td>\n<\/tr>\n
4<\/td>\nDataset<\/td>\nKenyan Swahili-English Code-Mixed SMS Scam Dataset<\/td>\nJapheth<\/td>\nMursi<\/td>\nhttps:\/\/drive.google.com\/file\/d\/1crbS6Li2gB5XA4LcKl35yGnpp9pv-EbV\/view?usp=sharing<\/a><\/td>\n<\/tr>\n
5<\/td>\nDataset<\/td>\nSheria Corpus: Unlocking Kenya’s Legal Judgements for AI and Open Research<\/td>\nBrian<\/td>\nOdhiambo<\/td>\n<\/a>https:\/\/drive.google.com\/file\/d\/1Gbt8LGrOKTQLD6PyS-9CPyeGApCgIq8e\/view?usp=sharing<\/a><\/td>\n<\/tr>\n
6<\/td>\nDataset<\/td>\nNollywood Movies IMDb Dataset<\/td>\nJoshua<\/td>\nSalako<\/td>\nhttps:\/\/drive.google.com\/file\/d\/1OGI5TUrtaNgOQt4EKCWUCEstLAYr41f8\/view?usp=drivesdk<\/a><\/td>\n<\/tr>\n
7<\/td>\nDataset<\/td>\nGraph Neural Networks for Automatic Speech Recognition in the Yemba Language<\/td>\nSherelle<\/td>\nKana Azeuko<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Sherelle_Kana%20Azeuko.pdf?generation=1755026574168905&alt=media<\/a><\/td>\n<\/tr>\n
8<\/td>\nDataset<\/td>\nAccent Classification Dataset (Ghanaian Dataset)<\/td>\nAmina<\/td>\nSalifu<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Amina_Salifu.pdf?generation=1755026575575642&alt=media<\/a><\/td>\n<\/tr>\n
9<\/td>\nDataset<\/td>\nCocoa Pod Maturity Stages Dataset for Crop Monitoring<\/td>\nBenjamin<\/td>\nAidoo<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Benjamin_Aidoo.pdf?generation=1755026546505024&alt=media<\/a><\/td>\n<\/tr>\n
10<\/td>\nDataset<\/td>\nIbadan Metropolis Flood Dataset<\/td>\nJacobs<\/td>\nOluwakemi Omowunmi<\/td>\nhttps:\/\/drive.google.com\/file\/d\/1yDLYcRN7mGwUVYUjxmwOaf3UoKbT5mWK\/view?usp=sharing<\/a><\/td>\n<\/tr>\n
11<\/td>\nPublications<\/td>\nA Fully Neural Tunisian Arabic TTS System<\/td>\nMoez<\/td>\nBen Hajhmida<\/td>\n<\/a>https:\/\/docs.google.com\/presentation\/d\/1gVc3gBf9H7Xw7FkR5xxlaNoOM2PWQgNp\/edit?usp=sharing&ouid=108068976998978435859&rtpof=true&sd=true<\/a><\/td>\n<\/tr>\n
12<\/td>\nPublications<\/td>\nSentiment Polarity Analysis of Amharic Climate Change Discourse Using Large Language Models<\/td>\nGebregziabihier<\/td>\nNigusie<\/td>\n<\/a>https:\/\/drive.google.com\/drive\/folders\/11Py3uVZgseJGY897XaisUMICZoaY3Arc?usp=drive_link<\/a><\/td>\n<\/tr>\n
13<\/td>\nPublications<\/td>\nCombatting Language Forgetting in Low-Resourced Settings<\/td>\nEmmanuel<\/td>\nRassou<\/td>\n<\/a>https:\/\/drive.google.com\/file\/d\/1zLy4rNvbm0nLX1JsLmcpA2lS3HU6AGbz\/view?usp=sharing<\/a><\/td>\n<\/tr>\n
14<\/td>\nPublications<\/td>\nTowards End-to-End Training of Automatic Speech Recognition for Nigerian Pidgin<\/td>\nDaniel<\/td>\nAjisafe<\/td>\n<\/a>https:\/\/drive.google.com\/file\/d\/1HN9HDqIJn9J9M9QS7sak6JpRu5hfY5Px\/view?usp=sharing<\/a><\/td>\n<\/tr>\n
15<\/td>\nPublications<\/td>\nEvaluating Deep Learning Models for African Wildlife Image Classification: From DenseNet to Vision Transformers<\/td>\nLukman Jibril<\/td>\nAliyu<\/td>\n<\/a>https:\/\/drive.google.com\/file\/d\/1YyZGYR4bMKBRR7L7-ZQRBJVRBJmnu0zR\/view?usp=sharing<\/a><\/td>\n<\/tr>\n
16<\/td>\nPublications<\/td>\nClosing the Gap in Low-Resource ASR: Leveraging Multilingual Models for Code-Switched Yoruba-English Speech<\/td>\nEmmanuel<\/td>\nBolarinwa<\/td>\n<\/a>https:\/\/drive.google.com\/file\/d\/1vjasVuSJF_O_FYomCjkm2pfLG7JWy6Kj\/view?usp=sharing<\/a><\/td>\n<\/tr>\n
17<\/td>\nPublications<\/td>\nZero-Shot LLM Generation of Energy Notifications for African Languages: A Benchmark Study<\/td>\nHatem<\/td>\nHaddad<\/td>\n<\/a>https:\/\/drive.google.com\/file\/d\/1-Bx8RtoEiI3ibKgl1-Cd1_q5LJ0DCClU\/view?usp=sharing<\/a><\/td>\n<\/tr>\n
18<\/td>\nPublications<\/td>\nAn AI Tomato Leaf Doctor Using MobileNetV2 and Streamlit<\/td>\nMakepeace Banele<\/td>\nZulu<\/td>\n<\/a>https:\/\/drive.google.com\/file\/d\/1OOByI2IQfYnuHTR8dRz83COyypT3WYX5\/view?usp=drivesdk<\/a><\/td>\n<\/tr>\n
19<\/td>\nPublications<\/td>\nTowards Culturally Attuned and Resource-Aware Foundation Models for East African Agriculture: A Theoretical Framework and Research Agenda<\/td>\nInnocent<\/td>\nNyalala<\/td>\n<\/a>https:\/\/drive.google.com\/drive\/folders\/1Y9eahLhAtdAEaL_ly9QyPpH9DKEH5iF_?usp=sharing<\/a><\/td>\n<\/tr>\n
21<\/td>\nPublications<\/td>\nLarge Vocabulary Read-Mode Speech Corpora for Low-Resourced Ometo Languages: Gamo, Gofa, Dawuro and Wolaita<\/td>\nNebiyu<\/td>\nSimon<\/td>\n<\/a>https:\/\/drive.google.com\/file\/d\/1bz5vnqYg7QCOBRNyGEuu1jEJTxWxvH8Y\/view?usp=sharing<\/a><\/td>\n<\/tr>\n
22<\/td>\nPublications<\/td>\nBenchmarking Automatic Speech Recognition Models for African Languages<\/td>\nSulaiman<\/td>\nKagumire<\/td>\n<\/a>https:\/\/docs.google.com\/presentation\/d\/1IXWl1rE2UeXTDTbU5ilQOXuL_iUaU3p7VXY0OMvECHI\/edit?usp=sharing<\/a><\/td>\n<\/tr>\n
23<\/td>\nPublications<\/td>\nA Fairness-Centered Comparison of Machine Learning Models for Student Retention<\/td>\nAbubakari<\/td>\nAlidu<\/td>\n<\/a>https:\/\/drive.google.com\/file\/d\/12uWdA91YlsQ7xXaufWpFz15tnbeci8Zq\/view?usp=sharing<\/a><\/td>\n<\/tr>\n
24<\/td>\nPublications<\/td>\nEhugbo Ka! Advancing Machine Translation for the Low-Resource Ehugbo Language through Parallel Corpus Development.<\/td>\nUkachi<\/td>\nEze-Mbey<\/td>\n<\/a>https:\/\/drive.google.com\/file\/d\/1wCN4RYq2t1yXEYGI2VzagZP6Oqnwh0v6\/view?usp=drive_link<\/a><\/td>\n<\/tr>\n
25<\/td>\nPublications<\/td>\nFairness-Aware Machine Learning for Social Bias Detection in Healthcare Research Datasets<\/td>\nIlerioluwakiiye<\/td>\nAbolade<\/td>\nhttps:\/\/drive.google.com\/file\/d\/1H2FJLdhIbC-CqsdtXp1H5R2d35ZRlnPq\/view?usp=sharing<\/a><\/td>\n<\/tr>\n
26<\/td>\nPublications<\/td>\nThe State of Large Language Models for African Languages: Progress and Challenges<\/td>\nKedir Yassin<\/td>\nHussen<\/td>\n<\/a>https:\/\/drive.google.com\/file\/d\/1KRsOxVxlf46uiqffAZOd9bROl-xdr-ek\/view?usp=drivesdk<\/a><\/td>\n<\/tr>\n
28<\/td>\nIndabaX<\/td>\nApplication of Machine Learning for Optimizing Rate of Penetration (ROP) Predictions in Hassi Messaoud Oilfield<\/td>\nElhadj<\/td>\nMelab<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Elhadj_Melab.pdf?generation=1755026555748462&alt=media<\/a><\/td>\n<\/tr>\n
29<\/td>\nIndabaX<\/td>\nDesigning Machine learning models for water resources management using earth observations satellite data in Namibia and Angola<\/td>\nSaudai Susso<\/td>\nSapi<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Saudai%20Susso%20_Sapi.pdf?generation=1755026555269259&alt=media<\/a><\/td>\n<\/tr>\n
30<\/td>\nIndabaX<\/td>\nTomato yield prediction in Benin using machine learning models.<\/td>\nAriane<\/td>\nHouetohoussou<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Ariane_HOUETOHOSSOU.pdf?generation=1755026549829755&alt=media<\/a><\/td>\n<\/tr>\n
31<\/td>\nIndabaX<\/td>\nMulti-Modal Deep Learning Architecture for Crop Disease Classification in Semi-Arid Environments<\/td>\nLyden<\/td>\nSebinyane<\/td>\n<\/a>https:\/\/drive.google.com\/file\/d\/1Xkc0JJfHcWrjaTe36EUh1_KMn473iBwb\/view?usp=drivesdk<\/a><\/td>\n<\/tr>\n
32<\/td>\nIndabaX<\/td>\nRevisiting the Non-Determinism of Code Generation by the GPT-3.5 Large Language Model<\/td>\nSAWADOGO<\/td>\nSalimata<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Salimata%20_SAWADOGO%20.pdf?generation=1755026554044328&alt=media<\/a><\/td>\n<\/tr>\n
33<\/td>\nIndabaX<\/td>\nEnhancingTellerDeskTransactionswith CNN-BasedFingerprintRecognition: TowardScalableBiometricBankingin DevelopingCountries<\/td>\nPacifique<\/td>\nNiyongabire<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Pacifique_Niyongabire.pdf?generation=1755026547975967&alt=media<\/a><\/td>\n<\/tr>\n
34<\/td>\nIndabaX<\/td>\nIntegration of machine learning and fuzzy multicriteria decision making for predicting mobility flow in developing countries<\/td>\nFONKOUA TATANG KEVIN<\/td>\nNO\u00cbL<\/td>\n<\/a>https:\/\/drive.google.com\/file\/d\/1ACn_luDFobWaJg2naOqJ3LORKDUxvFNV\/view?usp=drive_link<\/a><\/td>\n<\/tr>\n
35<\/td>\nIndabaX<\/td>\nDesigning Machine Learning Models for Water Resources Management Using Earth Observation Satellite Data in Namibia and Angola<\/td>\nAlbano dos<\/td>\nSantos<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Albano%20dos%20_Santos.pdf?generation=1755026615259865&alt=media<\/a><\/td>\n<\/tr>\n
36<\/td>\nIndabaX<\/td>\nProposed Framework for Smar Radiation Mapping Using Drone and Artificial Intelligence<\/td>\nDoaa Mohamed Elsayed<\/td>\nElafandy<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Doaa_Mohamed%20Elsayed%20Elafandy.pdf?generation=1755026558800878&alt=media<\/a><\/td>\n<\/tr>\n
37<\/td>\nIndabaX<\/td>\nAdvanced AI Health Management: Combining Predictive Analytics, Large Language Models (Llama 3.3), and RAG-Driven Support for Diabetes and Heart Disease in Eswatini<\/td>\nBandile<\/td>\nMalaza<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Bandile_Malaza.pdf?generation=1755026574431509&alt=media<\/a><\/td>\n<\/tr>\n
38<\/td>\nIndabaX<\/td>\nDeveloping a Smart Web-Based Framework Harnessing AI and IoT for Accessible and Actionable Agricultural Knowledge.<\/td>\nTagel Aboneh<\/td>\nWeldu<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Tagel_Aboneh.pdf?generation=1755026552835974&alt=media<\/a><\/td>\n<\/tr>\n
39<\/td>\nIndabaX<\/td>\nEmerging Class Discovery In Large Language Models Using Sematic Co-ocuurence patterns<\/td>\nMalik Kolawole<\/td>\nLanlokun<\/td>\n<\/a>https:\/\/drive.google.com\/file\/d\/1sM-4csRTjMVO2HY0B8cKxNMcglg935k9\/view?usp=sharing<\/a><\/td>\n<\/tr>\n
40<\/td>\nIndabaX<\/td>\nTowards Trustworthy Breast Tumor Segmentation in Ultrasound using Monte Carlo Dropout and Deep Ensembles for Epistemic Uncertainty Estimation<\/td>\nToufiq<\/td>\nMusah<\/td>\n<\/a>https:\/\/drive.google.com\/drive\/folders\/1sv1Uf_Wk4A5aNB72mZ9fQsr_chMxbtzm?usp=sharing<\/a><\/td>\n<\/tr>\n
41<\/td>\nIndabaX<\/td>\nUsing physics-informed neural networks (PINNs) to model the drying of wood.<\/td>\nMamadou<\/td>\nDiallo<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Mamadou_Diallo.pdf?generation=1755026560983129&alt=media<\/a><\/td>\n<\/tr>\n
42<\/td>\nIndabaX<\/td>\nAn Object-Based Machine Learning Approach to Convective Storm Nowcasting<\/td>\nRABEASY Tojoniaina<\/td>\nAngelo<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/RABEASY_Tojoniaina%20Angelo.pdf?generation=1755026545312021&alt=media<\/a><\/td>\n<\/tr>\n
43<\/td>\nIndabaX<\/td>\nReinforcement Learning from Nouhoum Feedback: An RLHF approach to ASR training<\/td>\nYacouba<\/td>\nDiarra<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Yacouba_Diarra.pdf?generation=1755026552081566&alt=media<\/a><\/td>\n<\/tr>\n
44<\/td>\nIndabaX<\/td>\nAnalyse de la sant\u00e9 des sols pour am\u00e9liorer les pratiques agricoles gr\u00e2ce \u00e0 l\u2019intelligence artificielle et l\u2019imagerie mobile<\/td>\nMahaman<\/td>\n<\/td>\nhttps:\/\/drive.google.com\/file\/d\/1HFsiRSyWVq_mntOCIRYnp-IBBNriNzDV\/view?usp=sharing<\/a><\/td>\n<\/tr>\n
45<\/td>\nIndabaX<\/td>\nMachine learning for African languages<\/td>\nIsmail<\/td>\nDIOP<\/td>\n<\/a>https:\/\/drive.google.com\/file\/d\/1qu-uIr3lDqblxArGKvrAxXQgr0XYcUEz\/view?usp=sharing<\/a><\/td>\n<\/tr>\n
46<\/td>\nIndabaX<\/td>\nLinkoma<\/td>\nAquilivio Maria<\/td>\nCumbe<\/td>\n<\/a>https:\/\/drive.google.com\/file\/d\/1k3RrOmwVxuhiRw7doaMNG5CMxOavT_pi\/view?usp=drive_link<\/a><\/td>\n<\/tr>\n
47<\/td>\nIndabaX<\/td>\nA PREDICTIVE MOBILITY MODEL BASED ON CROCODILE
MOBILITY DATA FOR HUMAN-CROCODILE CONFLICT
MANAGEMENT IN NAMIBIA<\/td>\n		Ndeshihafela<\/td>\nKakwambi<\/td>\nhttps:\/\/drive.google.com\/file\/d\/1wqgsSe4Pq2ekjNrjbIfPWwvM3eqw1Kla\/view?usp=sharing<\/a><\/td>\n<\/tr>\n
48<\/td>\nIndabaX<\/td>\nSafeScreen: Detecting Early Signs of Domestic Abuse on Social Media Using NLP and Psychological Features<\/td>\nPaule Marcelle<\/td>\nELANGA<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Paule%20Marcelle_ELANGA.pdf?generation=1755026551532871&alt=media<\/a><\/td>\n<\/tr>\n
49<\/td>\nIndabaX<\/td>\nAI-Augmented Simulation Framework for Optimizing Ultrasound-Mediated Blood-Brain Barrier Disruption<\/td>\nFolasewa<\/td>\nAbdusalam<\/td>\n<\/a>https:\/\/drive.google.com\/drive\/folders\/1SLYU5eUjN0a_8ool5WPpmwyhXlOQHo8c?usp=sharing<\/a><\/td>\n<\/tr>\n
50<\/td>\nIndabaX<\/td>\nLawBot SS: WhatsApp-Based Legal<\/p>\n

Guidance for South Sudan<\/td>\n

Yasir<\/td>\nLogwuru<\/td>\nhttps:\/\/drive.google.com\/file\/d\/1w2qkyKq1ciO6Zvi8S_GBdaH2NRsb4cuB\/view?usp=sharing<\/a><\/td>\n<\/tr>\n
51<\/td>\nIndabaX<\/td>\nFramework for Biometric IDentification: Contrastive Learning for Multimodal Search<\/td>\nADOGLI Caleb<\/td>\nYao<\/td>\nhttps:\/\/drive.google.com\/file\/d\/14FfK3ZKg1zCc-LNGDDHOxsgs_leTdXlI\/view?usp=drive_link<\/a><\/td>\n<\/tr>\n
52<\/td>\nIndabaX<\/td>\nExplainable Deep Reinforcement Learning with Graph Neural Networks for the Electric Vehicle Routing Problem with Time Windows<\/td>\nDimeth<\/td>\nNOUICER<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Dimeth_NOUICER.pdf?generation=1755026550442515&alt=media<\/a><\/td>\n<\/tr>\n
53<\/td>\nIndabaX<\/td>\nNeural Controlled Differential Equations for Modeling Irregular
Agricultural Time\u2010Series: A Maize\u2010Price Forecasting Case Study in
Zambia<\/td>\n		Lighton<\/td>\nKalumba<\/td>\nhttps:\/\/drive.google.com\/file\/d\/1d8TCQSGWB9FTRXoThchUeoQvycm2z0Jr\/view?usp=sharing<\/a><\/td>\n<\/tr>\n
54<\/td>\nIndabaX<\/td>\nTwitter (X) Sentiment Analysis of Monkeypox.<\/td>\nHazel<\/td>\nChamboko<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Hazel_Chamboko.pdf?generation=1755026550084561&alt=media<\/a><\/td>\n<\/tr>\n
55<\/td>\nIndabaX<\/td>\nAI Tomato Farming Assistant for Eswatini<\/td>\nMakepeace<\/td>\nBanele Zulu<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Makepeace_%20Banele%20Zulu%20.pdf?generation=1755026557707735&alt=media<\/a><\/td>\n<\/tr>\n
56<\/td>\nIndabaX<\/td>\nEstimating and Validating PM2.5 Levels Using Satellite and Ground Observations in Selected African Cities for Environmental Justice<\/td>\nAhmed<\/td>\nAlghali<\/td>\n<\/a>https:\/\/drive.google.com\/file\/d\/1m7bwsnmi9i1j6cfkWyOB8u1O9UBodUkY\/view?usp=sharing<\/a><\/td>\n<\/tr>\n
273<\/td>\nIndabaX<\/td>\nEMPOWERING AFRICAN WOMEN THROUGH AI-ASSISTED STORYTELLING SOLUTIONS FOR INCLUSIVE INNOVATION IN THE CREATIVE INDUSTRY<\/td>\nPHILOMENE STEPHANIE<\/td>\nTATAPONG BEYALA<\/td>\n<\/a>https:\/\/docs.google.com\/document\/d\/1uvYa2hflApz1I4rVtYf1hddXlOp6RcT_w9qoImav1eg\/edit?usp=sharing<\/a><\/td>\n<\/tr>\n
57<\/td>\nGeneral<\/td>\nHS3F: Heterogeneous Sequential Feature Forest Flow Framework for Tabular Data Generation<\/td>\nAnge-Cl\u00e9ment<\/td>\nAkazan<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Ange-Cl%C3%A9ment_Akazan.pdf?generation=1755026565640366&alt=media<\/a><\/td>\n<\/tr>\n
58<\/td>\nIndabaX<\/td>\nKALAM-NA: Multi-Dialectal Corpus for 16 variants of the Sara linguistic family of Chad<\/td>\nAbdel-aziz Harane<\/td>\nAbounounou<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Abdel-aziz%20Harane_Abounounou.pdf?generation=1755026553480163&alt=media<\/a><\/td>\n<\/tr>\n
59<\/td>\nIndabaX<\/td>\nDevelopment of Artificial Intelligence (AI) System for Herbal Plants Identification (AI4HM): Leveraging AI for Affordable and Quality Health<\/td>\nAbdulRahman<\/td>\nTosho Abdulahi<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/AbdulRahman_Tosho%20Abdulahi.pdf?generation=1755026602062542&alt=media<\/a><\/td>\n<\/tr>\n
60<\/td>\nGeneral<\/td>\nAn efficient diagnosis of diabetes mellitus using an improved ensemble method<\/td>\nAbidemi<\/td>\nAdeniyi<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Abidemi_Adeniyi.pdf?generation=1755026580311983&alt=media<\/a><\/td>\n<\/tr>\n
61<\/td>\nGeneral<\/td>\nThe Evolution of Generative Adversarial Networks (GANs): From Inception to Modern Innovations<\/td>\nYANNICK<\/td>\nABIGUIME<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/YANNICK_ABIGUIME.pdf?generation=1755026595572160&alt=media<\/a><\/td>\n<\/tr>\n
62<\/td>\nGeneral<\/td>\nAI-Based Listeria Detection In Fomites, Fruits, and Vegetables in Nigeria<\/td>\nAbayomi<\/td>\nAbiodun<\/td>\n<\/a>https:\/\/drive.google.com\/file\/d\/1tg0e0cIoxoopcAike68G4jabjK9iXlrR\/view?usp=sharing<\/a><\/td>\n<\/tr>\n
63<\/td>\nGeneral<\/td>\nDual AI Architectures for Accessible Medication Management: A Comparative Study of OCR-LLM and VLMs<\/td>\nAramide<\/td>\nAdebesin<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Aramide%20_Adebesin%20.pdf?generation=1755026579672635&alt=media<\/a><\/td>\n<\/tr>\n
64<\/td>\nGeneral<\/td>\nEnsembled-Based Model for Predicting Maternal Health Risk in Southwest, Nigeria.<\/td>\nAgbelusi<\/td>\nOlutola<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Agbelusi%20_Olutola?generation=1755026587428077&alt=media<\/a><\/td>\n<\/tr>\n
65<\/td>\nGeneral<\/td>\nSparsification of CLIP using conceptual decomposition of images<\/td>\nAhmed<\/td>\nAlhassan<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Ahmed_Alhassan.pdf?generation=1755026562406561&alt=media<\/a><\/td>\n<\/tr>\n
66<\/td>\nGeneral<\/td>\nGrokking in Neural Networks.<\/td>\nAhmed<\/td>\nMohammed Ahmed<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Ahmed_Mohammed%20Ahmed.pdf?generation=1755026593312082&alt=media<\/a><\/td>\n<\/tr>\n
67<\/td>\nGeneral<\/td>\nCan AI Agents Propose Their Own Goals?<\/td>\nAhmed<\/td>\nTurkman<\/td>\n<\/a>https:\/\/drive.google.com\/drive\/folders\/1u2s8N–KfEZ_EAwX1QSDn1vgyXtsJ_Jv?usp=drive_link<\/a><\/td>\n<\/tr>\n
68<\/td>\nGeneral<\/td>\nParticulate Matter Source Apportionment in a Dense Low-Cost Sensor Network Using Bayesian Inference<\/td>\nIan<\/td>\nAine<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Ian_Aine.pdf?generation=1755026610506418&alt=media<\/a><\/td>\n<\/tr>\n
69<\/td>\nGeneral<\/td>\nMACHINE LEARNING-BASED SCREENING AND IDENTIFICATION OF ANTIMALARIAL COMPOUNDS<\/td>\nMarvellous<\/td>\nAjala<\/td>\n<\/a>https:\/\/drive.google.com\/file\/d\/1o-mKQ_ICsGwpOOSgfMQsJRYCDgdJgm_G\/view?usp=sharing<\/a><\/td>\n<\/tr>\n
70<\/td>\nGeneral<\/td>\nUnlocking the Power of Visual Intelligence<\/td>\nAkena<\/td>\nElijah<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Akena_Elijah.pdf?generation=1755026571933091&alt=media<\/a><\/td>\n<\/tr>\n
71<\/td>\nGeneral<\/td>\nA Comparative Analysis of Machine Learning and Ensemble Techniques for Intrusion Detection in Edge Computing Environments<\/td>\nAdeyemo<\/td>\nAdetoye<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Adeyemo_Adetoye.pdf?generation=1755026582705632&alt=media<\/a><\/td>\n<\/tr>\n
72<\/td>\nGeneral<\/td>\nPredictive Modeling for Maternal Risk Detection Using Real-Time Physiological Data (Safe mom)<\/td>\nAkram<\/td>\nSsemwanga<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Akram_Ssemwanga.pdf?generation=1755026595997021&alt=media<\/a><\/td>\n<\/tr>\n
73<\/td>\nGeneral<\/td>\nA Cloud Computing Security Assessment Framework for FINTECHs in Kenya<\/td>\nAlex<\/td>\nOmondi<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Alex_Omondi.pdf?generation=1755026608184581&alt=media<\/a><\/td>\n<\/tr>\n
74<\/td>\nGeneral<\/td>\nData Collection for Carbon dynamics studies in Papyrus (Cyperus papyrus L. ) dominated wetlands in the Lake Victoria region (Kenya)<\/td>\nALFRED OMONDI<\/td>\nOTOM<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/ALFRED%20OMONDI_OTOM.pdf?generation=1755026601678194&alt=media<\/a><\/td>\n<\/tr>\n
75<\/td>\nGeneral<\/td>\nNeuroFocusEd: Real-time detection of learner engagement via Brain Signals<\/td>\nAliho<\/td>\nGilbert<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Aliho_Gilbert.pdf?generation=1755026572656913&alt=media<\/a><\/td>\n<\/tr>\n
76<\/td>\nGeneral<\/td>\nInvestigating Morphology-Aware Policies for Robotic Manipulation<\/td>\nAli<\/td>\nMidhat<\/td>\n<\/a>https:\/\/drive.google.com\/drive\/folders\/1QErUBezBOmkn8kashuc9g2HxcI7XkppW?usp=sharing<\/a><\/td>\n<\/tr>\n
77<\/td>\nGeneral<\/td>\nAdapDISCOM: An Adaptive Sparse Regression Method for High-Dimensional Multimodal Data With Block-Wise Missingness and Measurement Errors<\/td>\nAmadou<\/td>\nBarry<\/td>\n<\/a>https:\/\/drive.google.com\/file\/d\/1bKZagsnxNS-XgXBDE9STbOVn5yHvDuP1\/view?usp=sharing<\/a><\/td>\n<\/tr>\n
78<\/td>\nGeneral<\/td>\nEnhancing Credit Scoring Accuracy through Ensemble Risk Models in Emerging African Markets<\/td>\nPraise<\/td>\nAMONYE<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Praise_AMONYE.pdf?generation=1755026554926746&alt=media<\/a><\/td>\n<\/tr>\n
79<\/td>\nGeneral<\/td>\nSEGMENTING FOR SURVIVAL AI-POWERED BRAIN TUMOR SEGMENTATION USING U-NET<\/td>\nFatima<\/td>\nAngamia<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Fatima_Angamia.pdf?generation=1755026617170189&alt=media<\/a><\/td>\n<\/tr>\n
80<\/td>\nGeneral<\/td>\nAdult weight estimation in a tertiary hospital in Ghana<\/td>\nEric Komla<\/td>\nAnku<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Eric%20Komla_Anku.pdf?generation=1755026557361670&alt=media<\/a><\/td>\n<\/tr>\n
81<\/td>\nGeneral<\/td>\nUnderstanding Sickle Cell Anaemia in Western Kenya: A Survey-Based Analysis of Prevalence, Risk Factors, and Healthcare Access<\/td>\nApondi<\/td>\nOtieno<\/td>\n<\/a>https:\/\/drive.google.com\/file\/d\/1LzT1WXVO2442qLIpBH5xWbLPxMUiemRy\/view?usp=sharing<\/a><\/td>\n<\/tr>\n
82<\/td>\nGeneral<\/td>\nBic Rouge: Revolutionizing Theoretical Exam Grading with GPT-3.5 Turbo and Llama-3 for Enhanced Educational Accessibility<\/td>\nMuhigiri<\/td>\nAshuza<\/td>\n<\/a>https:\/\/drive.google.com\/file\/d\/1dEdPdRz7SghpFAX4skS9A5WSPN3GV7Q6\/view?usp=sharing<\/a><\/td>\n<\/tr>\n
83<\/td>\nGeneral<\/td>\nGrammaMT: Improving Machine Translation with Grammar-Informed In-Context Learning<\/td>\nEverlyn Asiko<\/td>\nChimoto<\/td>\n<\/a>https:\/\/drive.google.com\/file\/d\/1JGXi3xDxOqq1qEsnBIlcrq9ZpUMFiPMv\/view?usp=sharing<\/a><\/td>\n<\/tr>\n
84<\/td>\nGeneral<\/td>\nScalable Continual Learning Pipeline for Real-Time ML Deployment on Edge Hardware<\/td>\nAsma<\/td>\nBasly<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Asma_Basly.pdf?generation=1755026548336009&alt=media<\/a><\/td>\n<\/tr>\n
85<\/td>\nGeneral<\/td>\nTowards High-Resolution Methane Waste Detection in African Oil & Gas Fields Using Open Satellite Data<\/td>\nassala<\/td>\nbenmalek<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/assala_benmalek.pdf?generation=1755026599739570&alt=media<\/a><\/td>\n<\/tr>\n
86<\/td>\nGeneral<\/td>\nA deep learning model for detecting FMD and Lumpy skin diseases in dairy farms<\/td>\nAtwebembere<\/td>\nBoniface<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Atwebembere%20_Boniface%20.pdf?generation=1755026594774700&alt=media<\/a><\/td>\n<\/tr>\n
87<\/td>\nGeneral<\/td>\nLOLA – A Massively Multilingual Large Language Model for 160+ Languages<\/td>\nAxel<\/td>\nNgonga<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Axel_Ngonga.pdf?generation=1755026591803768&alt=media<\/a><\/td>\n<\/tr>\n
88<\/td>\nGeneral<\/td>\nMachine Translation Model for Yoruba Dialects<\/td>\nAyodele<\/td>\nAwokoya<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Ayodele_Awokoya.pdf?generation=1755026603921777&alt=media<\/a><\/td>\n<\/tr>\n
89<\/td>\nGeneral<\/td>\nHow much does it cost to train an aerage African graduate in basic AI?<\/td>\nOluwafemi<\/td>\nAzeez<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Oluwafemi_Azeez.pdf?generation=1755026561407761&alt=media<\/a><\/td>\n<\/tr>\n
90<\/td>\nGeneral<\/td>\nA Physics-informed Approach for Estimating Biophysical and Biochemical Crop Traits from Mutispectral and Hyperspectral Data<\/td>\nBrenda<\/td>\nAnague<\/td>\n<\/a>https:\/\/drive.google.com\/file\/d\/1SHEhXw0fYmD1xZlXNrY9xgoq3MiVH14D\/view?usp=drive_link<\/a><\/td>\n<\/tr>\n
91<\/td>\nGeneral<\/td>\nExtrinsic Reward Design: Model-Free Reinforcement Learning (RL) Navigation for Drone Waste Detection Tasks<\/td>\nBunmi<\/td>\nAkinremi<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Bunmi_Akinremi.pdf?generation=1755026556006710&alt=media<\/a><\/td>\n<\/tr>\n
92<\/td>\nGeneral<\/td>\nBridging Language Barriers for Hausa-speaking Students in WAEC CBT: An ASR\u2013TTS Platform for Improved Comprehension and Performance<\/td>\nHONOUR -JESUS<\/td>\nBEZALEEL<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/HONOUR%20-JESUS%20_BEZALEEL%20.pdf?generation=1755026571369187&alt=media<\/a><\/td>\n<\/tr>\n
93<\/td>\nGeneral<\/td>\nAI-Driven Prescription Validation for Combating Antimicrobial Resistance<\/td>\nBilly Peter<\/td>\nMunyenyembe<\/td>\n<\/a>https:\/\/drive.google.com\/file\/d\/1_c5moygI-K24PoaefqxaVxYugBsPgv_A\/view?usp=drive_link<\/a><\/td>\n<\/tr>\n
94<\/td>\nGeneral<\/td>\nA Caoti-based Optimised Recurrent Neural Network for Pandemic Detection<\/td>\nSunday<\/td>\nAjagbe<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Sunday_Ajagbe.pdf?generation=1755026575895360&alt=media<\/a><\/td>\n<\/tr>\n
95<\/td>\nGeneral<\/td>\nThe Artificial Intelligence (AI)-based models potentials in One Health research for infectious diseases control in Africa<\/td>\nBruno E.<\/td>\nLokonon<\/td>\n<\/a>https:\/\/docs.google.com\/presentation\/d\/18ZoDY0yjyjn-xOb6UTq0CH-L-rMAp4LZ\/edit?usp=drive_link&ouid=101178758478558215950&rtpof=true&sd=true<\/a><\/td>\n<\/tr>\n
96<\/td>\nGeneral<\/td>\nA Multilingual Climate Messaging Dataset: English, Hausa, Yoruba and Igbo<\/td>\nOlubusolami<\/td>\nSogunle<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Olubusolami%20_Sogunle.pdf?generation=1755026545966877&alt=media<\/a><\/td>\n<\/tr>\n
97<\/td>\nGeneral<\/td>\nIntelSurv: An Intelligent Disease Surveillance Training Tool<\/td>\nChimwemwe<\/td>\nChamangwana<\/td>\n<\/a>https:\/\/drive.google.com\/file\/d\/16_I4RMGQ723ipNEQ2tlt6ksSnY2D8fZj\/view?usp=sharing<\/a><\/td>\n<\/tr>\n
98<\/td>\nGeneral<\/td>\nData-Driven Federated Explainable AI for Privacy-Preserving LUNG Cancer Medical Image Diagnosis<\/td>\nCecilia<\/td>\nAdenusi<\/td>\n<\/a>https:\/\/www.canva.com\/design\/DAGuBxq8dq0\/4Hq_nO44hpFlFfyKRJBJtg\/edit?utm_content=DAGuBxq8dq0&utm_campaign=designshare&utm_medium=link2&utm_source=sharebutton<\/a><\/td>\n<\/tr>\n
99<\/td>\nGeneral<\/td>\nFED-SHAP MODEL ON BRAIN CANCER CLASSIFICATION AND PREDICTION<\/td>\nADENUSI<\/td>\nCecilia<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/ADENUSI_Cecilia%20.pdf?generation=1755026577450048&alt=media<\/a><\/td>\n<\/tr>\n
100<\/td>\nGeneral<\/td>\nText Analysis and Geospatial Extraction for Food Crisis Monitoring in West Africa<\/td>\nCharles Abdoulaye<\/td>\nNGOM<\/td>\nhttps:\/\/drive.google.com\/file\/d\/11mEGuQwyEC9EXjHFB7uPbf2CPx06oqSv\/view?usp=drive_link<\/a><\/td>\n<\/tr>\n
101<\/td>\nGeneral<\/td>\nDeep learning model for animals weight prediction using image<\/td>\nDONGMO WANDJI<\/td>\nCHELSIE CAREL<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/DONGMO%20WANDJI_CHELSIE%20CAREL.pdf?generation=1755026582986275&alt=media<\/a><\/td>\n<\/tr>\n
102<\/td>\nGeneral<\/td>\nDeveloping Climate-Aware Deep Learning models for Sustainable Fertilizer Recommendations in Dynamic Agroecological Environments<\/td>\nChikodili<\/td>\nUgwuishiwu<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Chikodili_Ugwuishiwu.pdf?generation=1755026588365493&alt=media<\/a><\/td>\n<\/tr>\n
103<\/td>\nGeneral<\/td>\nTowards a Zero Malaria Africa: Leveraging Deep Learning Methods for Accurate Malaria Prediction and Regional Strategies<\/td>\nChipo<\/td>\nZidana<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Chipo_Zidana.pdf?generation=1755026575026429&alt=media<\/a><\/td>\n<\/tr>\n
104<\/td>\nGeneral<\/td>\nPredictive ModelS for HIV Drug Fosamprenavir(fpv) Resistance Detection Using Genetic Sequences<\/td>\nEsther<\/td>\nNamutebi<\/td>\n<\/a>https:\/\/drive.google.com\/file\/d\/1dtd13j5IWUDGAMpIR9rG1FSlFibEgvr1\/view?usp=sharing<\/a><\/td>\n<\/tr>\n
105<\/td>\nGeneral<\/td>\nLightweight Human Pose Estimation via Knowledge Distillation for Lower Limb Assessment in Rural Clinics<\/td>\nClinton<\/td>\nKuya<\/td>\n<\/a>https:\/\/drive.google.com\/drive\/folders\/1L-LoloGMnqlX_A1vMVbLxim5-1JsOT0T?usp=sharing<\/a><\/td>\n<\/tr>\n
106<\/td>\nGeneral<\/td>\nEnglish_Amharic Medical Image Caption and Speech Generation for Visually Impaired Patients using Vision Transformer fused with Generative AI<\/td>\nDawit<\/td>\nShibabaw<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Dawit_Shibabaw.pdf?generation=1755026576755653&alt=media<\/a><\/td>\n<\/tr>\n
107<\/td>\nGeneral<\/td>\nShocklab: An AI Research Group at UCT<\/td>\nSt John<\/td>\nGrimbly<\/td>\n<\/a>https:\/\/drive.google.com\/file\/d\/1TIo-mrFgrYvL4-rIwDSKcRHFHDiE0EKl\/view?usp=sharing<\/a><\/td>\n<\/tr>\n
108<\/td>\nGeneral<\/td>\nActing and Planning in Uncertain Environments<\/td>\nSt John<\/td>\nGrimbly<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/St%20John_Grimbly.pdf?generation=1755026590891492&alt=media<\/a><\/td>\n<\/tr>\n
109<\/td>\nGeneral<\/td>\nDelineation of flood risk terrains and rainfall visualisation in the Northwestern part of Ghana<\/td>\nBenjamin Wullobayi<\/td>\nDekongmen<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Benjamin%20Wullobayi_Dekongmen.pdf?generation=1755026615822605&alt=media<\/a><\/td>\n<\/tr>\n
110<\/td>\nGeneral<\/td>\nIntegrating Physics Informed Neural Network(PINNs) with Non Equilibrium Green\u2019s Function(NEGF) for Quantum Transport Simulations<\/td>\nDelchere<\/td>\nDON-TSA<\/td>\n<\/a>https:\/\/drive.google.com\/file\/d\/1Z_Wb96QFk3ZC60XWl-_UdTg4zhUtWv1e\/view?usp=sharing<\/a><\/td>\n<\/tr>\n
111<\/td>\nGeneral<\/td>\nPhysics-Informed Neural Networks(PINNs): Applications to Quantum Transport<\/td>\nDelchere<\/td>\nDON-TSA<\/td>\n<\/a>https:\/\/drive.google.com\/file\/d\/1hTTzGV4L_Oukhx1hsEUMhyDWw6H8BKAY\/view?usp=sharing<\/a><\/td>\n<\/tr>\n
112<\/td>\nGeneral<\/td>\nShifting Left: An AI-Powered Framework for an Accessible-by-Default SDLC<\/td>\nDorothy<\/td>\nEwuah<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Dorothy_Ewuah.pdf?generation=1755026561786300&alt=media<\/a><\/td>\n<\/tr>\n
113<\/td>\nGeneral<\/td>\nCausally-Mediated Counterfactual Simulation with Coverage Validation for CATE Estimation<\/td>\nDylan<\/td>\nGeldenhuys<\/td>\n<\/a>https:\/\/drive.google.com\/file\/d\/1g8mb3NnABK3cn5i4wlDCOsjbDMM_Jr8O\/view?usp=drive_link<\/a><\/td>\n<\/tr>\n
114<\/td>\nGeneral<\/td>\nBuilding a Digital Twin for Telco Optimization with Causal ML – Simulating interventions, predicting customer impact, and guiding network decisions at scale<\/td>\nDylan<\/td>\nGeldenhuys<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Dylan_Geldenhuys.pdf?generation=1755026589264139&alt=media<\/a><\/td>\n<\/tr>\n
115<\/td>\nGeneral<\/td>\nA cross lingual language model for Swahili Short Text Topic Classification<\/td>\nEdwin<\/td>\nOnkoba<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Edwin_Onkoba.pdf?generation=1755026610196699&alt=media<\/a><\/td>\n<\/tr>\n
116<\/td>\nGeneral<\/td>\nPrecision Forecasting of Dairy Greenhouse Gas
Emissions with a Hybrid DART GRU Model<\/td>\n		Erica<\/td>\nKimei<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Erica%20_Kimei.pdf?generation=1755026569768035&alt=media<\/a><\/td>\n<\/tr>\n
117<\/td>\nGeneral<\/td>\nAI-Powered Cervical Cancer Detection in Africa<\/td>\nEmerald<\/td>\nAkhaumere<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Emerald%20_Akhaumere%20.pdf?generation=1755026586497760&alt=media<\/a><\/td>\n<\/tr>\n
118<\/td>\nGeneral<\/td>\nStacking Calibrated Odds Against Floods<\/td>\nEmmanuel<\/td>\nRassou<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Emmanuel_Rassou.pdf?generation=1755026558348846&alt=media<\/a><\/td>\n<\/tr>\n
119<\/td>\nGeneral<\/td>\nAI-Powered Classification and Early Detection of Dengue Virus Lineages for Timely Public Health Response<\/td>\nEmmanuel<\/td>\nNyandu Kagarabi<\/td>\n<\/a>https:\/\/drive.google.com\/file\/d\/1mWGMh4IoGsnvlkxiVcAtHQGg-32AnIqi\/view?usp=sharing<\/a><\/td>\n<\/tr>\n
120<\/td>\nGeneral<\/td>\nSmart Agriculture: Soil Testing for Crop Suitability
in Southwestern Uganda<\/td>\n		Nasasira<\/td>\nEpaphras<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Nasasira_Epaphras.pdf?generation=1755026613707332&alt=media<\/a><\/td>\n<\/tr>\n
121<\/td>\nGeneral<\/td>\nImpact of AI on the Workforce<\/td>\n\u00c9der<\/td>\nSousa<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/%C3%89der_Sousa.pdf?generation=1755026566281643&alt=media<\/a><\/td>\n<\/tr>\n
122<\/td>\nGeneral<\/td>\nSeeds, Contexts, and Tongues: Decoding the Drivers of Hallucination in Language Models<\/td>\nEwezu<\/td>\nNgim<\/td>\n<\/a>https:\/\/drive.google.com\/file\/d\/1imP7WzElfeSGk5xDLveNa3tNXHL-0kf2\/view?usp=sharing<\/a><\/td>\n<\/tr>\n
123<\/td>\nGeneral<\/td>\nBRIDGING COMMUNICATION BARRIER WITH AI (AI4KSL)<\/td>\nEzekiel<\/td>\nMaina<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Ezekiel_Maina.pdf?generation=1755026612890816&alt=media<\/a><\/td>\n<\/tr>\n
124<\/td>\nGeneral<\/td>\nPREDICTION OF CAESAREAN SECTION DELIVERY USING ENSEMBLE HYBRID MACHINE LEARNING MODELS<\/td>\nFatima<\/td>\nAuwal Aliyu<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Fatima_Auwal%20Aliyu.pdf?generation=1755026571024987&alt=media<\/a><\/td>\n<\/tr>\n
125<\/td>\nGeneral<\/td>\nFraming Gender-Based Violence Against Women in Politics: Leveraging LLMs to Explore Media Discourses<\/td>\nFatima<\/td>\nAvila Acosta<\/td>\n<\/a>https:\/\/drive.google.com\/file\/d\/19BUvAhWIcKo5Su05VdUcSVr6BKd9kPqB\/view?usp=sharing<\/a><\/td>\n<\/tr>\n
126<\/td>\nGeneral<\/td>\nAutomating Antimicrobial Susceptibility Testing (AST) in Extreme Environments Prototypical Federated Learning for One-Round, Zero-Shot Learning \/\/\/ Zoom In, Fight Back: Segmentation-Driven Characterization of Antimicrobial Response<\/td>\nFay Majid<\/td>\nElhassan<\/td>\n<\/a>https:\/\/drive.google.com\/drive\/folders\/17FdDoD99WbsJLoPZbLAmFh-2IO-PfwST?usp=sharing<\/a><\/td>\n<\/tr>\n
127<\/td>\nGeneral<\/td>\nChallenging Multimodal LLMs with African Standardized Exams: A Document VQA Evaluation<\/td>\nVictor<\/td>\nOlufemi<\/td>\n<\/a>https:\/\/drive.google.com\/file\/d\/1_TzlyvIOgMJ1S45hAHzTgdba6fwxSaNu\/view?usp=sharing<\/a><\/td>\n<\/tr>\n
128<\/td>\nGeneral<\/td>\nIn-House AI-Imaging Biomarker Solution in a Limited Setting Country<\/td>\nFerdaous<\/td>\nIdlahcen<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Ferdaous_Idlahcen.pdf?generation=1755026577092518&alt=media<\/a><\/td>\n<\/tr>\n
129<\/td>\nGeneral<\/td>\nPidgin Science Voices: A Community-Driven Speech Corpus for Low-Resource Language and Inclusive STEM Education<\/td>\nFlora<\/td>\nOladipupo<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Flora_Oladipupo.pdf?generation=1755026559411436&alt=media<\/a><\/td>\n<\/tr>\n
130<\/td>\nGeneral<\/td>\nTeaching Tiny Models to Fight Tuberculosis, A Knowledge Distillation Approach.<\/td>\nFreedmore<\/td>\nSidume<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Freedmore_Sidume.pdf?generation=1755026591169637&alt=media<\/a><\/td>\n<\/tr>\n
131<\/td>\nGeneral<\/td>\nMapping Thirst: GeoNLP Hotspot Detection from Citizen and Media Signals for Equitable Water Distribution in Nigeria<\/td>\nGideon<\/td>\nGeorge<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Gideon_George.pdf?generation=1755026548804604&alt=media<\/a><\/td>\n<\/tr>\n
132<\/td>\nGeneral<\/td>\nQuantum Acoustic Feature Extraction and Deep Quantum Learning for Speech-based Dementia Screening<\/td>\nYIGA<\/td>\nGILBERT<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/YIGA_GILBERT.pdf?generation=1755026596674648&alt=media<\/a><\/td>\n<\/tr>\n
133<\/td>\nGeneral<\/td>\nDetecting & Predicting Paddy Rice Flooding and Planting Areas Using Remote Sensing and the Gompertz Model<\/td>\nGlorie<\/td>\nMetsa WOWO<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Glorie_Metsa%20WOWO.pdf?generation=1755026553787639&alt=media<\/a><\/td>\n<\/tr>\n
134<\/td>\nGeneral<\/td>\nMachine learning for climate-induced migration<\/td>\nNy Haingo Miantsatiana<\/td>\nAndry<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Ny%20Haingo%20Miantsatiana_Andry.pdf?generation=1755026617627054&alt=media<\/a><\/td>\n<\/tr>\n
135<\/td>\nGeneral<\/td>\nFrom Literature to Maps: AI-Powered Curation of Updated Aedes Datasets<\/td>\nLahatra Fitiavana<\/td>\nHarinasandratra<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Lahatra%20Fitiavana_Harinasandratra.pdf?generation=1755026592864789&alt=media<\/a><\/td>\n<\/tr>\n
136<\/td>\nGeneral<\/td>\nExplainable AI for Predicting COVID-19 Outcomes in Older Adults with Cardiovascular Disease<\/td>\nHarlette<\/td>\nDENEBEYE<\/td>\n<\/a>https:\/\/drive.google.com\/file\/d\/1pJW_VIRwF7mYtjPzRbPEQ_EXa-giSSC0\/view?usp=sharing<\/a><\/td>\n<\/tr>\n
137<\/td>\nGeneral<\/td>\nLEVERAGING COMPUTER VISION TECHNIQUES TO MEASURE THE TOTAL BURN SURFACE AREA OF PEDIATRIC PATIENTS<\/td>\nHannah Emefa<\/td>\nAzinogo<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Hannah%20Emefa_Azinogo.pdf?generation=1755026603555086&alt=media<\/a><\/td>\n<\/tr>\n
138<\/td>\nGeneral<\/td>\nSmart AI Chatbot for Chadian Dialects Translation<\/td>\nHisseine<\/td>\nHassane Abakar<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Hisseine%20_Hassane%20Abakar%20.pdf?generation=1755026578016473&alt=media<\/a><\/td>\n<\/tr>\n
139<\/td>\nGeneral<\/td>\nS2P<\/td>\nHasan<\/td>\nKharbai<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Hasan_Kharbai.pdf?generation=1755026604336788&alt=media<\/a><\/td>\n<\/tr>\n
140<\/td>\nGeneral<\/td>\nReal-World Federated Learning on Edge Devices with NVFLARE<\/td>\nGeorge<\/td>\nIgwegbe<\/td>\nhttps:\/\/drive.google.com\/drive\/folders\/1iqSnyJ4ytD4TalNtwCVHrUnu4j3VyuGX?usp=sharing<\/a><\/td>\n<\/tr>\n
141<\/td>\nGeneral<\/td>\nTowards Global City-Level Air Quality Monitoring<\/td>\nIffanice<\/td>\nHoundayi<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Iffanice_Houndayi.pdf?generation=1755026559678947&alt=media<\/a><\/td>\n<\/tr>\n
142<\/td>\nGeneral<\/td>\nEnhancing Plasticity for First Session Adaptation Continual Learning<\/td>\nImad Eddine<\/td>\nMAROUF<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Imad%20Eddine_MAROUF.pdf?generation=1755026587166678&alt=media<\/a><\/td>\n<\/tr>\n
143<\/td>\nGeneral<\/td>\nAsk and Remember: A Questions-Only Replay Strategy for Continual Visual Question Answering<\/td>\nImad Eddine<\/td>\nMAROUF<\/td>\n<\/a>https:\/\/drive.google.com\/file\/d\/13BUw4fsjeevj6fRmiVnShzRBygt0Yb3y\/view?usp=sharing<\/a><\/td>\n<\/tr>\n
144<\/td>\nGeneral<\/td>\nIschemic Stroke Lesion Segmentation Using T1-MR Scans<\/td>\nIsrael<\/td>\nOdeajo<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Israel_Odeajo.pdf?generation=1755026572937103&alt=media<\/a><\/td>\n<\/tr>\n
145<\/td>\nGeneral<\/td>\nArtificial Intelligence for Reforestation and Land Use Surveillance in Rwanda.<\/td>\nMoise<\/td>\nIRADUKUNDA<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Moise_IRADUKUNDA.pdf?generation=1755026564705892&alt=media<\/a><\/td>\n<\/tr>\n
146<\/td>\nGeneral<\/td>\nEvaluating VLMs as a Zero-Shot Learning Alternative to YOLO+OCR for Nigerian License Plate Recognition<\/td>\nIsmail Ismail<\/td>\nTijjani<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Ismail%20Ismail_Tijjani.pdf?generation=1755026545619123&alt=media<\/a><\/td>\n<\/tr>\n
147<\/td>\nGeneral<\/td>\nCognitiva Journal<\/td>\nIvy<\/td>\nLagat<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Ivy_Lagat.png?generation=1755026598156921&alt=media<\/a><\/td>\n<\/tr>\n
148<\/td>\nGeneral<\/td>\nToward Early Warning of Lassa Fever Outbreak: A Weather-Enhanced Ensemble Forecasting Model<\/td>\nIyanu<\/td>\nAdegun<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Iyanu_Adegun.pdf?generation=1755026582034324&alt=media<\/a><\/td>\n<\/tr>\n
149<\/td>\nGeneral<\/td>\nAgroTrack: A Cloud-Native IoT Solution for Real-Time Soil Monitoring and Climate-Smart Farming in Africa<\/td>\nJepngetich<\/td>\nSharon<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Jepngetich_Sharon.pdf?generation=1755026602868712&alt=media<\/a><\/td>\n<\/tr>\n
150<\/td>\nGeneral<\/td>\nTopological Data Analysis of Astronomical Data<\/td>\nJessica<\/td>\nRandall<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Jessica_Randall.pdf?generation=1755026616164337&alt=media<\/a><\/td>\n<\/tr>\n
151<\/td>\nGeneral<\/td>\nA Dynamic Testing Harness: Making Sure LLMs Actually Know Their Medicine<\/td>\nJessica<\/td>\nLundin<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Jessica_Lundin.pdf?generation=1755026566850609&alt=media<\/a><\/td>\n<\/tr>\n
152<\/td>\nGeneral<\/td>\nAfroBench: How good are Large Language Models on African Languages.<\/td>\nJessica<\/td>\nOjo<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Jessica_Ojo.pdf?generation=1755026547152078&alt=media<\/a><\/td>\n<\/tr>\n
153<\/td>\nGeneral<\/td>\nBias correction of satellite and reanalysis products for rainfall occurrence and intensity using statistical and machine learning methods<\/td>\nJohn<\/td>\nBagiliko<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/John_Bagiliko.pdf?generation=1755026559979762&alt=media<\/a><\/td>\n<\/tr>\n
154<\/td>\nGeneral<\/td>\nPiggyCast: IMPROVING WEATHER PREDICTION ACCURACY THROUGH A STACKING-BASED ENSEMBLE AI APPROACH<\/td>\nJosiah<\/td>\nKimani<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Josiah_Kimani.pdf?generation=1755026592453057&alt=media<\/a><\/td>\n<\/tr>\n
155<\/td>\nGeneral<\/td>\nOWE-YOR: LEVERAGING TRANSFORMER BASED MODELS FOR YORUBA PROVERB CLASSIFICATION<\/td>\nJoy<\/td>\nOlusanya<\/td>\n<\/a>https:\/\/drive.google.com\/file\/d\/1N5WmK0yogb75RemhE3FykTN22VSAIVMQ\/view?usp=sharing<\/a><\/td>\n<\/tr>\n
156<\/td>\nGeneral<\/td>\nAccelerating Medical Image annotation: A Model-assisted Labeling pipeline leveraging Yolov8 and SAM<\/td>\nAndrew<\/td>\nKatumba<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Andrew_Katumba.pdf?generation=1755026560347314&alt=media<\/a><\/td>\n<\/tr>\n
157<\/td>\nGeneral<\/td>\nTowards Fair In-Context Learning with Tabular Foundation Models<\/td>\nPatrik<\/td>\nKenfack<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Patrik_Kenfack.pdf?generation=1755026597057814&alt=media<\/a><\/td>\n<\/tr>\n
158<\/td>\nGeneral<\/td>\nSureFood: Technology That Knows Your Market<\/td>\nHope<\/td>\nOmbaba<\/td>\n<\/a>https:\/\/drive.google.com\/drive\/folders\/1RZPj2Lk0UY4k3OIMY5dAzeiHrdG05aBP<\/a><\/td>\n<\/tr>\n
159<\/td>\nGeneral<\/td>\nTwo methods one goal: Exploring topic classification for Kuria and Ekegusii<\/td>\nHope<\/td>\nKerubo Ombaba<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Hope_Kerubo%20Ombaba.pdf?generation=1755026606258332&alt=media<\/a><\/td>\n<\/tr>\n
160<\/td>\nGeneral<\/td>\nEliminating the Translation Bottleneck: Improving QA for African Languages with Task – Specific Fine – Tuning<\/td>\nKevin<\/td>\nOmondi<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Kevin_Omondi.pdf?generation=1755026571667249&alt=media<\/a><\/td>\n<\/tr>\n
161<\/td>\nGeneral<\/td>\nFrom Diagnosis to Advice: A Deep Learning (AI) System for Sugarcane Leaf Health in Eswatini \u2013 A Case Study of the Eswatini Sugar Association<\/td>\nKhanyisile Tapiwa<\/td>\nMagagula<\/td>\n<\/a>https:\/\/docs.google.com\/presentation\/d\/10-QSS-j8zA8_9Jjn__CrpkwlDD6HGiTe\/edit?usp=sharing&ouid=101231663903090482140&rtpof=true&sd=true<\/a><\/td>\n<\/tr>\n
162<\/td>\nGeneral<\/td>\nDeveloping a Deep Learning Model to Educate Parents on Protecting Their Children Online.<\/td>\nJennyphar<\/td>\nKahimise Kavikairiua<\/td>\n<\/a>https:\/\/drive.google.com\/file\/d\/1i6fvOUwOTdhQVtncG9iqtIXevAZsSgv_\/view?usp=sharing<\/a><\/td>\n<\/tr>\n
163<\/td>\nGeneral<\/td>\nGenerative Feature Training of sparse network<\/td>\nKoffi Benjamin<\/td>\nAGBEGNAGLO<\/td>\nhttps:\/\/drive.google.com\/file\/d\/13dT3Mp_xAAI2GrN-AKgH2Z6c3HUFHvz3\/view?usp=drive_link<\/a><\/td>\n<\/tr>\n
164<\/td>\nGeneral<\/td>\nTowards Affordable Weather Forecasting in South Africa: Parameter-Efficient Fine-Tuning of an AI Weather Foundation Model<\/td>\nKoomi Toussaint<\/td>\nAMOUSSOUVI<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Koomi%20Toussaint_AMOUSSOUVI.pdf?generation=1755026606629325&alt=media<\/a><\/td>\n<\/tr>\n
165<\/td>\nGeneral<\/td>\nLIVER ULTRASOUND IMAGE SEGMENTATION<\/td>\nAdiza<\/td>\nAlhassan<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Adiza_Alhassan.pdf?generation=1755026573196723&alt=media<\/a><\/td>\n<\/tr>\n
166<\/td>\nGeneral<\/td>\nPIPELINE DE R\u00c9SOLUTION DE PROBL\u00c8ME: CAS DE LA D\u00c9TECTION DES MALADIES DU MA\u00cfS<\/td>\nMureille Laure<\/td>\nObaya<\/td>\n<\/a>https:\/\/drive.google.com\/file\/d\/1tU8j4GLfxdxw6T5S5P4EiAOnNdS7Yokc\/view?usp=sharing<\/a><\/td>\n<\/tr>\n
167<\/td>\nGeneral<\/td>\nHuman-AI Collaboration in Yoruba STEM Education: Challenges of Trust, Usability, and Translation in Low-Resource Learning Contexts<\/td>\nOlanrewaju<\/td>\nLawal<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Olanrewaju_Lawal.pdf?generation=1755026579110989&alt=media<\/a><\/td>\n<\/tr>\n
168<\/td>\nGeneral<\/td>\nComputational Design of a Multi-Epitope Malaria Vaccine Candidate for Enhanced T Cell-Mediated Immunity in African Children Under 5<\/td>\nLinda<\/td>\nFrempong-Manso<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Linda_Frempong-Manso.pdf?generation=1755026605061470&alt=media<\/a><\/td>\n<\/tr>\n
169<\/td>\nGeneral<\/td>\nSelf-Supervised Multi-Task Learning for the Detection and Classification of RHD-Induced Valvular Pathology<\/td>\nLorna<\/td>\nMugambi<\/td>\n<\/a>https:\/\/drive.google.com\/file\/d\/1oSMkZDvu1ywhG_rwZsS38C7TvK79QCNl\/view?usp=sharing<\/a><\/td>\n<\/tr>\n
170<\/td>\nGeneral<\/td>\nBridging Models and Mobility: Agent-Based Modeling and Simulation Meets Mobile Application Technology for Enhanced Dengue Surveillance<\/td>\nLuba<\/td>\nPascoe<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Luba_Pascoe.pdf?generation=1755026570308746&alt=media<\/a><\/td>\n<\/tr>\n
171<\/td>\nGeneral<\/td>\nIoT and Artificial Intelligence for secure remote healthcare monitoring<\/td>\nLukman<\/td>\nKunveng<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Lukman_Kunveng.pdf?generation=1755026581315085&alt=media<\/a><\/td>\n<\/tr>\n
172<\/td>\nGeneral<\/td>\nUlizaMama : Framework to Design and Serve Low-Resource Language Maternal Health LLMs<\/td>\nLyvia<\/td>\nLusiji<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Lyvia_Lusiji.pdf?generation=1755026585348907&alt=media<\/a><\/td>\n<\/tr>\n
173<\/td>\nGeneral<\/td>\nEmpowering Africa’s Health: AI-Driven Solutions for Universal Access<\/td>\nNjogu<\/td>\nGrace<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Njogu_Grace.pdf?generation=1755026546227930&alt=media<\/a><\/td>\n<\/tr>\n
174<\/td>\nGeneral<\/td>\nEnhancing XSS Detection with LLM-Generated Obfuscation and Graph Neural Networks<\/td>\nmohamed<\/td>\nserrhini<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/mohamed_serrhini.pdf?generation=1755026580657340&alt=media<\/a><\/td>\n<\/tr>\n
175<\/td>\nGeneral<\/td>\nTowards Robust Generalization in African AI: Causal Inference and Domain Shift Mitigation<\/td>\nMahi Aminu<\/td>\nAliyu<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Mahi%20Aminu_Aliyu.pdf?generation=1755026595157904&alt=media<\/a><\/td>\n<\/tr>\n
176<\/td>\nGeneral<\/td>\nMulti-Objective Route Optimization Using Graph Neural Networks<\/td>\nMahmoud<\/td>\nAbdelkader<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Mahmoud_Abdelkader.pdf?generation=1755026547629289&alt=media<\/a><\/td>\n<\/tr>\n
177<\/td>\nGeneral<\/td>\nEfikNLP: Parallel Corpora and Machine Translation System for Digital Inclusion<\/td>\nMbuotidem<\/td>\nAwak<\/td>\n<\/a>https:\/\/drive.google.com\/file\/d\/1npGCtIW9dINzvH9vKoPMkUUzWc2zrdgh\/view?usp=sharing<\/a><\/td>\n<\/tr>\n
178<\/td>\nGeneral<\/td>\nGenerative AI for Urban Sustainability: Enhanced Basemaps from High-Resolution Satellite Imagery<\/td>\nBenayad<\/td>\nMohamed<\/td>\n<\/a>https:\/\/docs.google.com\/presentation\/d\/182r9Ch2G9f9dwHIn3nKV8hhkQYKMAy48\/edit?usp=drive_link&ouid=112038764170136351774&rtpof=true&sd=true<\/a><\/td>\n<\/tr>\n
179<\/td>\nGeneral<\/td>\nBuilding African Stereotypes Datasets For Responsible AI Evaluation<\/td>\nMelissah<\/td>\nWeya<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Melissah_Weya.pdf?generation=1755026589852217&alt=media<\/a><\/td>\n<\/tr>\n
180<\/td>\nGeneral<\/td>\nFederated Learning for Respiratory Disease Forecasting in Africa<\/td>\nAstride Melvin<\/td>\nFOKAM NINYIM<\/td>\n<\/a>https:\/\/drive.google.com\/drive\/folders\/1udB7WMF5Te6Rn36vaX3Sj3fjjwVTvqnY?usp=drive_link<\/a><\/td>\n<\/tr>\n
181<\/td>\nGeneral<\/td>\nVideo Understanding Using LLMs for Intelligent CCTV Surveillance<\/td>\nMgasa<\/td>\nLucas<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Mgasa_Lucas.pdf?generation=1755026609502337&alt=media<\/a><\/td>\n<\/tr>\n
182<\/td>\nGeneral<\/td>\nRule-Based Reward Modeling for Large Reasoning Models Post-Training<\/td>\nMuhammad Abdulghaffar<\/td>\nMuhammad Omer<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Muhammad%20Abdulghaffar%20_Muhammad%20Omer%20.pdf?generation=1755026567278976&alt=media<\/a><\/td>\n<\/tr>\n
183<\/td>\nGeneral<\/td>\nMultilingual Natural Language Processing Conversational Platform for Promoting Blood Donation in Tanzania<\/td>\nHAPPINESS<\/td>\nMKUMBO<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/HAPPINESS_MKUMBO.pdf?generation=1755026597782770&alt=media<\/a><\/td>\n<\/tr>\n
184<\/td>\nGeneral<\/td>\nAI for Universal Literacy in the Languages People Speak<\/td>\nMichael<\/td>\nLeventhal<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Michael_Leventhal.pdf?generation=1755026549545263&alt=media<\/a><\/td>\n<\/tr>\n
185<\/td>\nGeneral<\/td>\nPredicting Electoral Violence Using Integrated Conflict Data<\/td>\nMarlyn<\/td>\nMayienga<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Marlyn_Mayienga.pdf?generation=1755026564366368&alt=media<\/a><\/td>\n<\/tr>\n
186<\/td>\nGeneral<\/td>\nPredictive System for Characterizing Student Dropout using K-Nearest Oracle with Automated Machine Learning (KNORA-AutoML) Model<\/td>\nYuda<\/td>\nMnyawami<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Yuda_Mnyawami.pdf?generation=1755026602458589&alt=media<\/a><\/td>\n<\/tr>\n
187<\/td>\nGeneral<\/td>\nBenchmarking LLMs: From Standard NLP Tasks to Real-World Multilingual Challenges<\/td>\nMillicent<\/td>\nOchieng<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Millicent_Ochieng.pdf?generation=1755026562060332&alt=media<\/a><\/td>\n<\/tr>\n
188<\/td>\nGeneral<\/td>\nSupervised Machine Learning and Deep Learning Techchniques for Legal Text Classification<\/td>\nMoyahabo<\/td>\nRabothata<\/td>\n<\/a>https:\/\/drive.google.com\/file\/d\/10jWrjh9iuF_5R0zznwy6gPMGFsHLRhdm\/view?usp=drivesdk<\/a><\/td>\n<\/tr>\n
189<\/td>\nGeneral<\/td>\nNetwork Analysis and Topic Modelling to Identify Influential Authors<\/td>\nMoyahabo Muriel<\/td>\nRabothata<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Moyahabo%20Muriel_Rabothata.pdf?generation=1755026588075740&alt=media<\/a><\/td>\n<\/tr>\n
190<\/td>\nGeneral<\/td>\nPaliGemma-CXR: Multitask Multimodal for Chest X-ray Interpretation<\/td>\nDenis<\/td>\nMusinguzi<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Denis_Musinguzi.pdf?generation=1755026591481830&alt=media<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/figure>\n

Poster session 2: General posters nos. 191 – 273 – (16:30 – 18:00)<\/p>\n

\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Poster no.<\/td>\nCategory<\/td>\nTitle of poster<\/td>\nFirst name<\/td>\nSurname<\/td>\nPoster link<\/td>\n<\/tr>\n
191<\/td>\nGeneral<\/td>\nMSense: Dynamic Route Planning and Adaptive Incentive Mechanisms for Mobile Sensors<\/td>\nDaniel<\/td>\nMutembesa<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Daniel_Mutembesa.pdf?generation=1755026600833055&alt=media<\/a><\/td>\n<\/tr>\n
192<\/td>\nGeneral<\/td>\nEnhancing Detection of Common Bean Diseases Via Fast Gradient Sign Method – Trained Vision Transformers<\/td>\nUpendo<\/td>\nMwaibale<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Upendo_Mwaibale.pdf?generation=1755026605432672&alt=media<\/a><\/td>\n<\/tr>\n
193<\/td>\nGeneral<\/td>\nA Multilingual and Multidialect Deep Learning Approach for Hate and Abusive Speech Classification<\/td>\nNabil<\/td>\nBADRI<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Nabil_BADRI.pdf?generation=1755026576229896&alt=media<\/a><\/td>\n<\/tr>\n
194<\/td>\nGeneral<\/td>\nDVoice: Open-Source Voice AI for Africa and Beyond<\/td>\nAbdou Mohamed<\/td>\nNaira<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Abdou%20Mohamed_Naira.pdf?generation=1755026553163966&alt=media<\/a><\/td>\n<\/tr>\n
195<\/td>\nGeneral<\/td>\nDetection of Stationary Pollution Sources and Profiling Using Satellite Imagery and Machine Learning<\/td>\nProscovia<\/td>\nNakiranda<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Proscovia_Nakiranda.pdf?generation=1755026572247295&alt=media<\/a><\/td>\n<\/tr>\n
196<\/td>\nGeneral<\/td>\nEmpowering communities in Zambia through innovation<\/td>\nNatasha<\/td>\nMwaba<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Natasha_Mwaba.pdf?generation=1755026616510062&alt=media<\/a><\/td>\n<\/tr>\n
197<\/td>\nGeneral<\/td>\nLarge Vocabulary Read-Mode Speech Corpora for Low-Resourced Ometo Languages: Gamo, Gofa, Dawuro and Wolaita<\/td>\nNebiyu<\/td>\nSimon<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Nebiyu_Simon.pdf?generation=1755026557089972&alt=media<\/a><\/td>\n<\/tr>\n
198<\/td>\nGeneral<\/td>\nVirtual reality and anatomy learning with voice recognition<\/td>\nNematou<\/td>\nKABORE<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Nematou_KABORE.pdf?generation=1755026576451325&alt=media<\/a><\/td>\n<\/tr>\n
199<\/td>\nGeneral<\/td>\nReal time cardiac monitoring system based on Artificial Intelligence<\/td>\nNadine<\/td>\nNIBIGIRA<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Nadine_NIBIGIRA.pdf?generation=1755026568915876&alt=media<\/a><\/td>\n<\/tr>\n
200<\/td>\nGeneral<\/td>\nTargeting the Right Farmer: Predictive Analytics for Agricultural Input Subsidy Allocation in Sub-Saharan Africa<\/td>\nNasiru<\/td>\nIliya<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Nasiru_Iliya.pdf?generation=1755026565083581&alt=media<\/a><\/td>\n<\/tr>\n
201<\/td>\nGeneral<\/td>\nAfrica Health Check: Probing Cultural Bias in Medical LLMs<\/td>\nCharles<\/td>\nNimo<\/td>\n<\/a>https:\/\/drive.google.com\/drive\/folders\/12qOi6ZJI8ePvTMs9D5zYrB3wDbt245Wr?usp=sharing<\/a><\/td>\n<\/tr>\n
202<\/td>\nGeneral<\/td>\nA BI-DIRECTIONAL LONG SHORT-TERM MEMORY BASED DEEP LEARNING MODEL FOR POLITICAL HATE SPEECH DETECTION IN SWAHILI AND CODE-SWITCHED ENGLISH-SWAHILI TEXTUAL DATA<\/td>\nNelson<\/td>\nOnyango<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Nelson%20_Onyango.pdf?generation=1755026544679430&alt=media<\/a><\/td>\n<\/tr>\n
203<\/td>\nGeneral<\/td>\nINTELLIGENT DIGITAL STETHOSCOPE FOR AUTOMATED LUNG SOUND ANALYSIS AND RESPIRATORY DISEASE CLASSIFICATION<\/td>\nRonnie<\/td>\nOchieng<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Ronnie_Ochieng.pdf?generation=1755026603209913&alt=media<\/a><\/td>\n<\/tr>\n
204<\/td>\nGeneral<\/td>\nEvaluating Robustness of LLMs to Typographical Noise in Yor\u00f9b\u00e1 QA<\/td>\nPaul<\/td>\nOkewunmi<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Paul_Okewunmi%20.pdf?generation=1755026564101424&alt=media<\/a><\/td>\n<\/tr>\n
205<\/td>\nGeneral<\/td>\nIntegrating Network Curvature into Epidemic Dynamics: A Curvature-Aware SIR Model Framework<\/td>\nOladimeji Samuel Sowole<\/td>\nSowole<\/td>\n<\/a>https:\/\/drive.google.com\/file\/d\/1fA2dCCbbdgCNUjVSSphTlCH5d3_7ag3d\/view?usp=sharing<\/a><\/td>\n<\/tr>\n
206<\/td>\nGeneral<\/td>\nConstraining the Hubble Tension with Fast Radio Bursts using Machine Learning<\/td>\nOnintsoa<\/td>\nAnjara Rakotondranisa<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Onintsoa_Anjara%20Rakotondranisa.pdf?generation=1755026592117036&alt=media<\/a><\/td>\n<\/tr>\n
207<\/td>\nGeneral<\/td>\nTinyML-Based Acoustic Bird Detection for Crop Protection in African Farms<\/td>\nSamson<\/td>\nOoko<\/td>\n<\/a>https:\/\/drive.google.com\/file\/d\/1dPdlA3xJ0PswwMp9_2DhygJgZ1-xiiYS\/view?usp=sharing<\/a><\/td>\n<\/tr>\n
208<\/td>\nGeneral<\/td>\nSECURE AND SCALABLE HORIZONTAL FEDERATED LEARNING FOR BANK FRAUD DETECTION<\/td>\nIremide<\/td>\nOyelaja<\/td>\n<\/a>https:\/\/drive.google.com\/file\/d\/1AgEXywzgjijyIwFTglqqxiDeaFyepTBb\/view?usp=sharing<\/a><\/td>\n<\/tr>\n
209<\/td>\nGeneral<\/td>\nAI-BASED EARLY DETECTION OF DEVELOPMENTAL DELAYS IN CHILDREN WITH SICKLE CELL DISEASE (AGES 0\u20135)<\/td>\nComfort<\/td>\nAkanni<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Comfort_Akanni.pdf?generation=1755026596315997&alt=media<\/a><\/td>\n<\/tr>\n
210<\/td>\nGeneral<\/td>\nEstimation of physico-chemical properties of soil using machine learning<\/td>\nPatience<\/td>\nMba<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Patience_Mba.pdf?generation=1755026584622161&alt=media<\/a><\/td>\n<\/tr>\n
211<\/td>\nGeneral<\/td>\nA stacking Ensemble Machine Learning Model for Emergency Call Forecasting<\/td>\nGaelle Patricia<\/td>\nTalotsing<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Gaelle%20Patricia_Talotsing.pdf?generation=1755026579961972&alt=media<\/a><\/td>\n<\/tr>\n
212<\/td>\nGeneral<\/td>\nFrom Play to Preservation: K\u1ecd\u00c8d\u00e8\u2013 Where Tech Meets Language Learning<\/td>\nPeace<\/td>\nFalola<\/td>\n<\/a>https:\/\/drive.google.com\/file\/d\/1JQQtxSgl_lUyJrHdHD1XzusaGDWYpIje\/view?usp=drive_link<\/a><\/td>\n<\/tr>\n
213<\/td>\nGeneral<\/td>\nA Multi-Domain Annotated Yoruba NER Dataset: Expanding NLP Resources for Low-Resource African Languages<\/td>\nPeace<\/td>\nFalola<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Peace%20_Falola.pdf?generation=1755026581717566&alt=media<\/a><\/td>\n<\/tr>\n
214<\/td>\nGeneral<\/td>\nMachine Learning Approaches to Study Star Formation and Black Hole Accretion in the MeerKAT\/MIGHTEE survey<\/td>\nWalter<\/td>\nSilima<\/td>\n<\/a>https:\/\/docs.google.com\/presentation\/d\/1uHVLsoGUuRCFyOT1W5qXfNJHsSgBUIHkoz3iYdfkMn8\/edit?usp=sharing<\/a><\/td>\n<\/tr>\n
215<\/td>\nGeneral<\/td>\nHierarchical CXR-Net: A Two-Stage Framework for Efficient and Interpretable Chest X-Ray Diagnosis<\/td>\nPhillip<\/td>\nSsempeebwa<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Phillip%20_Ssempeebwa%20.pdf?generation=1755026612009720&alt=media<\/a><\/td>\n<\/tr>\n
216<\/td>\nGeneral<\/td>\nEnhancing Urban Mobility in Developing Countries: A VANET Architecture with Secure mRSU Routing and Machine Learning<\/td>\nleonce therese<\/td>\nPidy Pidy<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/leonce%20therese_Pidy%20Pidy.pdf?generation=1755026586816721&alt=media<\/a><\/td>\n<\/tr>\n
217<\/td>\nGeneral<\/td>\nMusic Information Retrieval: Teaching Machines to Listen<\/td>\nNgeta<\/td>\nJohn<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Ngeta_John.pdf?generation=1755026598516963&alt=media<\/a><\/td>\n<\/tr>\n
218<\/td>\nGeneral<\/td>\nRoad Traffic Crash Severity Prediction in Low-Resource Contexts: Ensemble Machine Learning and Deep Learning Approaches<\/td>\nPatricia Ojonoka<\/td>\nIdakwo<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Patricia%20Ojonoka%20_Idakwo.pdf?generation=1755026551811226&alt=media<\/a><\/td>\n<\/tr>\n
219<\/td>\nGeneral<\/td>\nEnhancing Bean Crop Disease Diagnosis with Vision-Language Models: A Multitask Approach using PaliGemma<\/td>\nPeter<\/td>\nOketta<\/td>\n<\/a>https:\/\/drive.google.com\/file\/d\/1U5QvziNXzJTqB2zoPoIcTI759S5jYxxt\/view?usp=sharing<\/a><\/td>\n<\/tr>\n
220<\/td>\nGeneral<\/td>\n<\/td>\nRameeze<\/td>\nBaker<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Rameeze_Baker.pdf?generation=1755026593751224&alt=media<\/a><\/td>\n<\/tr>\n
221<\/td>\nGeneral<\/td>\nLeveraging AI for Visual impairment: A Linguistically Inclusive Model for Zambian Learners<\/td>\nREBECCA<\/td>\nLUPYANI<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/REBECCA%20_LUPYANI%20.pdf?generation=1755026574730734&alt=media<\/a><\/td>\n<\/tr>\n
222<\/td>\nGeneral<\/td>\nThe Reflexive Integrated Information Unit: A Differentiable Primitive for Artificial Consciousness<\/td>\nRegis<\/td>\nN’guessan<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Regis%20_N’guessan%20.pdf?generation=1755026590101730&alt=media<\/a><\/td>\n<\/tr>\n
223<\/td>\nGeneral<\/td>\nRobust Full Body Human Pose Estimation<\/td>\nRodeo<\/td>\nTOHA<\/td>\n<\/a>https:\/\/drive.google.com\/drive\/folders\/1lbYGNy34aruczvl4UEHTWDLl8xnkm8lW?usp=drive_link<\/a><\/td>\n<\/tr>\n
224<\/td>\nGeneral<\/td>\nSMART AQUACULTURE ASSISTANT SYSTEM INTEGRATED IOT AND BIG DATA ANALYSIS<\/td>\nRonald<\/td>\nTombe<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Ronald_Tombe.pdf?generation=1755026588935699&alt=media<\/a><\/td>\n<\/tr>\n
225<\/td>\nGeneral<\/td>\nExplainable Spatial-Temporal and Ensemble Modeling for Predicting Food Security<\/td>\nRonnie<\/td>\nAtuhaire<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Ronnie_Atuhaire.pdf?generation=1755026613339045&alt=media<\/a><\/td>\n<\/tr>\n
226<\/td>\nGeneral<\/td>\nBioExplainNet: A Biologically-Inspired Lightweight Attention Framework for Transparent Lung Lesion Diagnosis on Edge IoMT Devices<\/td>\nRoseline Oluwaseun<\/td>\nOgundokun<\/td>\nhttps:\/\/drive.google.com\/file\/d\/12iRrk_hlskZjEh869T6siLGmZJKz7VQJ\/view?usp=sharing<\/a><\/td>\n<\/tr>\n
227<\/td>\nGeneral<\/td>\nInhibition Mediated Layer Normalization<\/td>\nRoy<\/td>\nEyono<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Roy_Eyono.pdf?generation=1755026588691534&alt=media<\/a><\/td>\n<\/tr>\n
228<\/td>\nGeneral<\/td>\nMedRAG: A Retrieval-Augmented Generation System for Clinical Decision Support Using a Vidal Knowledge Base<\/td>\nAFOLA<\/td>\nKossi Mawouena Samuel<\/td>\n<\/a>https:\/\/drive.google.com\/file\/d\/1MGUd13vLJIToKyJf7OQ7lNRHC9496ths\/view?usp=sharing<\/a><\/td>\n<\/tr>\n
229<\/td>\nGeneral<\/td>\nVidalBERT-MultiLang: A Medical Language Model for French, English, and Ew\u00e9 Text Understanding<\/td>\nKossi Mawouena Samuel<\/td>\nAFOLA<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Kossi%20Mawouena%20Samuel_AFOLA.pdf?generation=1755026577713542&alt=media<\/a><\/td>\n<\/tr>\n
230<\/td>\nGeneral<\/td>\nEnhanced CNN Model for Brain Tumor Detection and Classification<\/td>\nWilson<\/td>\nSakpere<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Wilson_Sakpere.pdf?generation=1755026607014613&alt=media<\/a><\/td>\n<\/tr>\n
231<\/td>\nGeneral<\/td>\nUnderstanding LLM Reasoning Capabilities through Rebus Puzzles<\/td>\nSamuel<\/td>\nOyeneye<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Samuel_Oyeneye.pdf?generation=1755026573843591&alt=media<\/a><\/td>\n<\/tr>\n
232<\/td>\nGeneral<\/td>\nTranslation Evaluation for Multilingual Misinformation Detection: Comparing Gemini and NLLB for English\u2192isiZulu\/Sepedi<\/td>\nSeani<\/td>\nRananga<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Seani_Rananga.pdf?generation=1755026601106276&alt=media<\/a><\/td>\n<\/tr>\n
233<\/td>\nGeneral<\/td>\nAvailability of loans for refugees in africa<\/td>\nSept<\/td>\nHABINSHUTI<\/td>\n<\/a>https:\/\/drive.google.com\/file\/d\/1gEeFL2tzJndQ4__T2_b9we__bv2S_dFh\/view?usp=sharing<\/a><\/td>\n<\/tr>\n
234<\/td>\nGeneral<\/td>\nHow Well Do Vision Language Models Understand Nigerian Cultural Attire?<\/td>\nSerah<\/td>\nAkojenu<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Sept_HABINSHUTI.pdf?generation=1755026549056435&alt=media<\/a><\/td>\n<\/tr>\n
235<\/td>\nGeneral<\/td>\nCultural Heritage: Classification of Moroccan Zellige Using Deep Learning<\/td>\nMohamed<\/td>\nSerrhini<\/td>\n<\/a>https:\/\/drive.google.com\/file\/d\/12r9KgyHVdpkIqEiSTY0s7gIB9HqFNOfn\/view?usp=sharing<\/a><\/td>\n<\/tr>\n
236<\/td>\nGeneral<\/td>\nMemeory-Enhanced Neural Solvers for Routing Problems<\/td>\nRefiloe<\/td>\nShabe<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Refiloe_Shabe.pdf?generation=1755026556467640&alt=media<\/a><\/td>\n<\/tr>\n
237<\/td>\nGeneral<\/td>\nImproving BGE-M3 Multilingual Dense Embeddings for Nigerian Low Resource Languages<\/td>\nShiloh<\/td>\nOni<\/td>\n<\/a>https:\/\/drive.google.com\/file\/d\/1SBpb2uFhmHrnPxj_K3KID19M-9Kt13Ks\/view?usp=sharing<\/a><\/td>\n<\/tr>\n
238<\/td>\nGeneral<\/td>\nLearning from Less: Few-Shot Learning for Multi-Disease Blood Smear Diagnosis<\/td>\nShiloh<\/td>\nOni<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Shiloh_Oni.pdf?generation=1755026605816240&alt=media<\/a><\/td>\n<\/tr>\n
239<\/td>\nGeneral<\/td>\nChatEbola: A RAG-Based Chatbot For Ebola<\/td>\nSimeon<\/td>\nKrah<\/td>\n<\/a>https:\/\/docs.google.com\/presentation\/d\/1GSXVB7wuRESNWAYr6WvOoQthbDYDaMbS\/edit?usp=sharing&ouid=114984398911787054582&rtpof=true&sd=true<\/a><\/td>\n<\/tr>\n
240<\/td>\nGeneral<\/td>\nInjecting Explicit Cross-lingual Embeddings into Pre-trained Mulilingual Models for Code-Switching Detection<\/td>\nThapelo Andrew<\/td>\nSindane<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Thapelo%20Andrew_Sindane.pdf?generation=1755026546818812&alt=media<\/a><\/td>\n<\/tr>\n
241<\/td>\nGeneral<\/td>\nDevelopment and Validation of an Early Warning System for Air Pollution in Rwanda<\/td>\nSamson<\/td>\nNIYIZURUGERO<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Samson_NIYIZURUGERO.pdf?generation=1755026567884023&alt=media<\/a><\/td>\n<\/tr>\n
242<\/td>\nGeneral<\/td>\nIntelligent Wearable Systems for Detecting Medication Errors<\/td>\nSolomon<\/td>\nNsumba<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Solomon%20_Nsumba.pdf?generation=1755026609101680&alt=media<\/a><\/td>\n<\/tr>\n
243<\/td>\nGeneral<\/td>\nMulti-omic Causal Discovery using Genotypes and Gene Expression<\/td>\nStephen<\/td>\nAsiedu<\/td>\n<\/a>https:\/\/drive.google.com\/file\/d\/19Wd-gRqLTlUDqGLf82eBoV2Nq2a5Nc7g\/view?usp=sharing<\/a><\/td>\n<\/tr>\n
244<\/td>\nGeneral<\/td>\nHarnessing AI Platforms to Accelerate Adoption of Value Addition Technologies Among Women and Youth Seaweed Farmers in Coastal Tanzania<\/td>\nSwaumu HASSAN<\/td>\nMOHAMED<\/td>\n<\/a>https:\/\/drive.google.com\/file\/d\/1sg8FI3haIikOJCwMfWC7UpQgArbiT7Cm\/view?usp=drive_link<\/a><\/td>\n<\/tr>\n
245<\/td>\nGeneral<\/td>\nAI at the Frontlines: Advancing Reproductive Health in Southern Africa\u2019s Slum Communities<\/td>\nTafadzwa<\/td>\nMunzwa<\/td>\n<\/a>https:\/\/drive.google.com\/file\/d\/1ybzIz6jj72SRSBha44gNsmjcZxlViO0q\/view?usp=sharing<\/a><\/td>\n<\/tr>\n
246<\/td>\nGeneral<\/td>\nHot & Sustainable? AI-Guided Design of Thermostable Lipases for Targeted Industrial Applications<\/td>\nZainab<\/td>\nTairu<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Zainab_Tairu.pdf?generation=1755026579365447&alt=media<\/a><\/td>\n<\/tr>\n
247<\/td>\nGeneral<\/td>\nToward Human-Centric Financial Intelligence: A Reinforcement Learning with Human Feedback (RLHF) approach to modern Asset Liability Management<\/td>\nTakura<\/td>\nWekwete<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Takura_Wekwete.pdf?generation=1755026582388632&alt=media<\/a><\/td>\n<\/tr>\n
248<\/td>\nGeneral<\/td>\nFrom Passive to Participatory: Healthcare Workshop Design for Continued Community Engagement<\/td>\nTaliya<\/td>\nWeinstein<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Taliya_Weinstein.pdf?generation=1755026563708075&alt=media<\/a><\/td>\n<\/tr>\n
249<\/td>\nGeneral<\/td>\nClean Water Monitoring System: Using AI + sensor data to Prevent Waterborne Outbreaks in Underserved Communities<\/td>\nTapiwa Norah<\/td>\nKandiado<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Tapiwa%20Norah_Kandiado.pdf?generation=1755026573577682&alt=media<\/a><\/td>\n<\/tr>\n
250<\/td>\nGeneral<\/td>\nDP-2Stage: Adapting Language Models as Differentially Private Tabular Data Generators<\/td>\nTejumade<\/td>\nAfonja<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Tejumade_Afonja.pdf?generation=1755026559064229&alt=media<\/a><\/td>\n<\/tr>\n
251<\/td>\nGeneral<\/td>\nDevelopment of a Classification Model for Early Tuberculosis Screening Using Machine Learning<\/td>\nElizabeth<\/td>\nOgunseye<\/td>\n<\/a>https:\/\/www.canva.com\/design\/DAGuMVlWHM0\/2yAlZmno9yj3kjfS4UAlmg\/edit?utm_content=DAGuMVlWHM0&utm_campaign=designshare&utm_medium=link2&utm_source=sharebutton<\/a><\/td>\n<\/tr>\n
252<\/td>\nGeneral<\/td>\nDeep Generative Surrogates for Agent-Based Modelling<\/td>\nTimothy<\/td>\nHitge<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Timothy_Hitge.pdf?generation=1755026568553423&alt=media<\/a><\/td>\n<\/tr>\n
253<\/td>\nGeneral<\/td>\nA Digital Predictive Healthcare Management System for Sickle Cell Disease Using Machine Learning and Data Visualization Techniques: A Case Study of Uganda<\/td>\nTirzah<\/td>\nAtwiine<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Tirzah_Atwiine.png?generation=1755026565385916&alt=media<\/a><\/td>\n<\/tr>\n
254<\/td>\nGeneral<\/td>\nIntelligent NLP-driven Decision-Support System for Clinical Tumor Board<\/td>\nToheeb<\/td>\nJumah<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Toheeb_Jumah.pdf?generation=1755026600217924&alt=media<\/a><\/td>\n<\/tr>\n
255<\/td>\nGeneral<\/td>\nTranscribe, translate, or transliterate: An investigation of intermediate representations in spoken language models<\/td>\nTolulope<\/td>\nOgunremi<\/td>\n<\/a>https:\/\/drive.google.com\/file\/d\/1x0NO8p4lAx1mb0h94aULSePDb4GxTPmr\/view?usp=sharing<\/a><\/td>\n<\/tr>\n
256<\/td>\nGeneral<\/td>\nTeaching AI to Read Between the Lines: Interpreting isiZulu Idiomatic expressions through Retrieval Augmented Fine-Tuning<\/td>\nNontokozo<\/td>\nManukuza<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Nontokozo_Manukuza.pdf?generation=1755026612371398&alt=media<\/a><\/td>\n<\/tr>\n
257<\/td>\nGeneral<\/td>\nNeuroMouth++: Giving Voice to the Voiceless through EMG-Based Assistive Technology<\/td>\nAhmed<\/td>\nUmar<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Ahmed%20_Umar%20.pdf?generation=1755026608591386&alt=media<\/a><\/td>\n<\/tr>\n
258<\/td>\nGeneral<\/td>\nCan Large Language Models Design Biological Weapons?<\/td>\nOsman<\/td>\nTanko<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Osman_Tanko.pdf?generation=1755026604726348&alt=media<\/a><\/td>\n<\/tr>\n
259<\/td>\nGeneral<\/td>\nLow Resource AI for Financial Inclusion<\/td>\nVictor<\/td>\nAshioya<\/td>\n<\/a>https:\/\/drive.google.com\/file\/d\/1-S-S4LF6Dg5At6b-zV8T8m4jmdxe287D\/view?usp=sharing<\/a><\/td>\n<\/tr>\n
260<\/td>\nGeneral<\/td>\nA Multimodal Convolutional Neural Network Based Approach for DICOM Files Classification<\/td>\nVicent<\/td>\nMabirizi<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Vicent_Mabirizi.pdf?generation=1755026569207717&alt=media<\/a><\/td>\n<\/tr>\n
261<\/td>\nGeneral<\/td>\nLocalized Weather Prediction Using Kolmogorov-Arnold Network-Based Models and Deep RNNs<\/td>\nVerlon Roel<\/td>\nMbingui<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Verlon%20Roel_Mbingui.pdf?generation=1755026563060280&alt=media<\/a><\/td>\n<\/tr>\n
262<\/td>\nGeneral<\/td>\nPotato Disease Classification<\/td>\nWalter<\/td>\nNyamutamba<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Walter_Nyamutamba.pdf?generation=1755026587783359&alt=media<\/a><\/td>\n<\/tr>\n
263<\/td>\nGeneral<\/td>\nFine-Tuning Automatic Speech Recognition Models for Wolof and Hausa in the Domain of Maternal and Reproductive Health<\/td>\nYann<\/td>\nLE BEUX<\/td>\n<\/a>https:\/\/drive.google.com\/file\/d\/1Qv8Y7SV0oSJoWjktggdDOoHaXBGAFSAt\/view?usp=sharing<\/a><\/td>\n<\/tr>\n
265<\/td>\nGeneral<\/td>\nMultimodal Deep Learning for Anomaly Detection and Urban Expansion Forecasting in the Sahel<\/td>\nYAYA<\/td>\nTOURE<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/YAYA_TOURE.pdf?generation=1755026578639803&alt=media<\/a><\/td>\n<\/tr>\n
266<\/td>\nGeneral<\/td>\nBias: Endangering species and performance. An evaluation of SpeciesNet on leopard classification<\/td>\nAustin<\/td>\nKaburia<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Austin_Kaburia.pdf?generation=1755026583967069&alt=media<\/a><\/td>\n<\/tr>\n
267<\/td>\nGeneral<\/td>\nML-Based Disease Prediction in Tomato and Bean Crops in Sub-Saharan<\/p>\n

Africa: A Systematic Review<\/td>\n

Barbara<\/td>\nKunda<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Barbara_Kunda.pdf?generation=1755026607383801&alt=media<\/a><\/td>\n<\/tr>\n
268<\/td>\nGeneral<\/td>\nFairSimCLR: A Fairness-Aware Contrastive Learning Framework for Demographic Bias Mitigation in Dermatology Imaging<\/td>\nComfort<\/td>\nAdesina<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Comfort_Adesina.pdf?generation=1755026585848777&alt=media<\/a><\/td>\n<\/tr>\n
269<\/td>\nGeneral<\/td>\nExploring the Potential of Machine Learning for<\/p>\n

Improved Livestock Disease Classification<\/td>\n

Genet Shanko<\/td>\nDekebo<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Genet%20Shanko_Dekebo.pdf?generation=1755026614551270&alt=media<\/a><\/td>\n<\/tr>\n
270<\/td>\nGeneral<\/td>\nReal-World Federated Learning on Edge Devices with NVFLARE<\/td>\nIFEANYI<\/td>\nIGWEGBE<\/td>\n<\/td>\n<\/tr>\n
272<\/td>\nGeneral<\/td>\nRethinking the Markov Property in Multi-Agent RL<\/td>\nKale-eb<\/td>\nTassera<\/td>\nhttps:\/\/kaleabtessera.com\/assets\/posters\/rlc_2025_remembering_markov.pdf<\/td>\n<\/tr>\n
274<\/td>\nPublication<\/td>\nAdaptive UAV Inspection of PV Panels Using Goal-Conditioned Reinforcement Learning and Zigzag Coverage Planning<\/td>\nIMEN<\/td>\nHABIBI<\/td>\nhttps:\/\/drive.google.com\/drive\/folders\/1hc_e29iX2ZuNnXg7Y-wM4dJLa8fa1ak0?usp=sharing<\/td>\n<\/tr>\n
275<\/td>\nIndabaX<\/td>\nGeo-Parsing and Geo-Visualization of Road Traffic Crash Incident Locations from Print Media for Emergency Response and Planning<\/td>\nPatricia Ojonoka<\/td>\nIdakwo<\/td>\n<\/a>https:\/\/drive.google.com\/file\/d\/1VRJU7FHOEAauxxUT-VI_Pe-QCCsg9ltL\/view?usp=sharing<\/a><\/td>\n<\/tr>\n
276<\/td>\nIndabaX<\/td>\nElectroencephalogram Interpretable Signal Processing for Anesthesia Predictive Monitoring<\/td>\nSandra<\/td>\nNakacwa<\/td>\nhttps:\/\/storage.googleapis.com\/download\/storage\/v1\/b\/indaba-2025-posters\/o\/Sandra_Nakacwa.pdf?generation=1755026570043797&alt=media<\/td>\n<\/tr>\n
277<\/td>\nIndabaX<\/td>\nThe impact of environmental macro-plastice litter on vector-borne diseases, with a specific focus on dengue fever<\/td>\nOrph\u00e9e<\/td>\nHOUNKPONOU<\/td>\nhttps:\/\/drive.google.com\/file\/d\/1XTY5ia5gGyRw5-TAuBAU9im_e8NzQqaE\/view?usp=sharing<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/figure>\n","protected":false},"excerpt":{"rendered":"

Poster session 1: African Datasets, IndabaX, Publications and General posters nos. 60 – 190 – (12:00 – 13:00 & 14:30 – 16:00) Poster no. Category Title of poster First name Surname Poster link 1 Dataset Enhancing Speech Instruction Understanding and Disambiguation in Robotics Benedict Quartey https:\/\/drive.google.com\/file\/d\/1CPL-Ens_zyxov7D1Iq0o_93vIEwHbxJe\/view?usp=sharing 2 Dataset mwBTFreddy: A Dataset for Flash Flood Damage […]<\/p>\n","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-1224","page","type-page","status-publish","hentry"],"acf":[],"yoast_head":"\nPosters 2025 - Deep Learning Indaba 2025<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/deeplearningindaba.com\/2025\/posters\/\" \/>\n<meta property=\"og:locale\" content=\"en_GB\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Posters 2025 - Deep Learning Indaba 2025\" \/>\n<meta property=\"og:description\" content=\"Poster session 1: African Datasets, IndabaX, Publications and General posters nos. 60 – 190 – (12:00 – 13:00 & 14:30 – 16:00) Poster no. 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Category Title of poster First name Surname Poster link 1 Dataset Enhancing Speech Instruction Understanding and Disambiguation in Robotics Benedict Quartey https:\/\/drive.google.com\/file\/d\/1CPL-Ens_zyxov7D1Iq0o_93vIEwHbxJe\/view?usp=sharing 2 Dataset mwBTFreddy: A Dataset for Flash Flood Damage […]","og_url":"https:\/\/deeplearningindaba.com\/2025\/posters\/","og_site_name":"Deep Learning Indaba 2025","article_modified_time":"2025-08-20T05:22:48+00:00","twitter_card":"summary_large_image","twitter_misc":{"Est. reading time":"20 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"https:\/\/deeplearningindaba.com\/2025\/posters\/","url":"https:\/\/deeplearningindaba.com\/2025\/posters\/","name":"Posters 2025 - Deep Learning Indaba 2025","isPartOf":{"@id":"https:\/\/deeplearningindaba.com\/2025\/#website"},"datePublished":"2025-08-18T21:48:31+00:00","dateModified":"2025-08-20T05:22:48+00:00","breadcrumb":{"@id":"https:\/\/deeplearningindaba.com\/2025\/posters\/#breadcrumb"},"inLanguage":"en-GB","potentialAction":[{"@type":"ReadAction","target":["https:\/\/deeplearningindaba.com\/2025\/posters\/"]}]},{"@type":"BreadcrumbList","@id":"https:\/\/deeplearningindaba.com\/2025\/posters\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/deeplearningindaba.com\/2025\/"},{"@type":"ListItem","position":2,"name":"Posters 2025"}]},{"@type":"WebSite","@id":"https:\/\/deeplearningindaba.com\/2025\/#website","url":"https:\/\/deeplearningindaba.com\/2025\/","name":"Deep Learning Indaba 2025","description":"","potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/deeplearningindaba.com\/2025\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"en-GB"}]}},"_links":{"self":[{"href":"https:\/\/deeplearningindaba.com\/2025\/wp-json\/wp\/v2\/pages\/1224","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/deeplearningindaba.com\/2025\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/deeplearningindaba.com\/2025\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/deeplearningindaba.com\/2025\/wp-json\/wp\/v2\/users\/32"}],"replies":[{"embeddable":true,"href":"https:\/\/deeplearningindaba.com\/2025\/wp-json\/wp\/v2\/comments?post=1224"}],"version-history":[{"count":4,"href":"https:\/\/deeplearningindaba.com\/2025\/wp-json\/wp\/v2\/pages\/1224\/revisions"}],"predecessor-version":[{"id":1247,"href":"https:\/\/deeplearningindaba.com\/2025\/wp-json\/wp\/v2\/pages\/1224\/revisions\/1247"}],"wp:attachment":[{"href":"https:\/\/deeplearningindaba.com\/2025\/wp-json\/wp\/v2\/media?parent=1224"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}