4 citations · 11 across the 23 of their papers we have counts for
6 papers · 1 filter
TriSAR: Task Coordination and Collision Avoidance for Aerial Robot Teams in Disaster Response
Aditya Anil Kapile, Pedro Machado, Isibor Kennedy Ihianle
Multi-Unmanned Aerial Vehicle (UAV) disaster-response systems require coordinated task assignment and local trajectory control, yet the individual and combined contributions of the…
From Thermal Preference Prediction to Adaptive Thermal Intervention: A Reinforcement Learning Approach Using Physiological and Environmental Sensing
Isibor Kennedy Ihianle, Emmanuel Manu, Ehsan Asnaashari +4
Personalised thermal comfort is essential for occupant wellbeing and for the development of more responsive building-control strategies, yet conventional Heating, Ventilation, and…
An AI-Based Adaptive Learning Platform for Multilingual and Low-Resource Educational Contexts: A Case Study on Nigeria
Everistus Ugochukwu Nwogo, Isibor Kennedy Ihianle, Pedro Machado +5
Educational platforms in under-resourced and multilingual contexts, such as Nigeria, often struggle with limited personalisation, inadequate language support, and weak curriculum i…
EmotionAI: A Privacy-Preserving Computational Intelligence Pipeline for Speech-Emotion-Grounded Conversational Analysis
Wai Laam Mak, Isibor Kennedy Ihianle, Pedro Machado
Reviewing recorded interviews for affective cues such as composure and agitation is slow and subjective, and cloud services that could automate the task require sensitive audio to…
LessonBench-V1: A Benchmark Dataset for Evaluating AI Lesson Generation Agents
Ravidu Suien Rammuni Silva, Ahmad Lotfi, Isibor Kennedy Ihianle +2
Large Language Model (LLM) based AI educational content generation systems are increasingly being developed, yet no standardised benchmark exists to systematically evaluate them. T…
Training and Agentic Inference Strategies for LLM-based Manim Animation Generation
Ravidu Suien Rammuni Silva, Ahmad Lotfi, Isibor Kennedy Ihianle +2
Generating programmatic animation using libraries such as Manim presents unique challenges for Large Language Models (LLMs), requiring spatial reasoning, temporal sequencing, and f…