activity
20242026
collaborators

7 papers

cs.CY2026

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…

cs.CV2026

FM-G-CAM: A Holistic Approach for Explainable AI in Computer Vision

Ravidu Suien Rammuni Silva, Jordan J. Bird

Explainability is a vital aspect of modern AI for real-world impact and usability. The main objective of this paper is to emphasise the need to understand the predictions of Comput…

cs.AI2026

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…

cs.CV2026

Cognitive Edge Device (CED) for Real-Time Environmental Monitoring in Aquatic Ecosystems

Dennis Monari, Farhad Fassihi Tash, Jordan J. Bird +6

Invasive signal crayfish have a detrimental impact on ecosystems. They spread the fungal-type crayfish plague disease (Aphanomyces astaci) that is lethal to the native white clawed…

cs.CV2025

Bearded Dragon Activity Recognition Pipeline: An AI-Based Approach to Behavioural Monitoring

Arsen Yermukan, Pedro Machado, Feliciano Domingos +4

Traditional monitoring of bearded dragon (Pogona Viticeps) behaviour is time-consuming and prone to errors. This project introduces an automated system for real-time video analysis…

cs.AI2024

ArtBrain: An Explainable end-to-end Toolkit for Classification and Attribution of AI-Generated Art and Style

Ravidu Suien Rammuni Silva, Ahmad Lotfi, Isibor Kennedy Ihianle +2

Recently, the quality of artworks generated using Artificial Intelligence (AI) has increased significantly, resulting in growing difficulties in detecting synthetic artworks. Howev…