Intelligent Computing Research Group
A collaborative research community advancing Artificial Intelligence, Machine Learning, Data Science and intelligent computing — carrying promising ideas beyond the dissertation, into publications, software, datasets and real-world innovation.
Overview
The Intelligent Computing Research Group (ICResG) is a collaborative research community that brings together students, graduates, academics, researchers and industry professionals to advance Artificial Intelligence, Machine Learning, Data Science and intelligent computing and to carry promising ideas beyond the dissertation, into publications, software, datasets and real-world innovation.
Open membership irrespective of institution or location. Contribution-based authorship — recognition is earned, never automatic.
Spotlight
Senior academics and established researchers who have joined ICResG.
Founder & Research Lead
Global Banking School Limited · United Kingdom
Founder of the Intelligent Computing Research Group (ICResG). Leads the group's research direction, membership development and collaborations, with interests spanning Artificial Intelligence, Machine Learning and intelligent systems for real-world impact.
Disciplines
The themes our work is organised around. Every project and publication belongs to one.
Active research
This research explores the convergence of Federated Learning, Edge Intelligence, Situational Awareness, and IoT security as a pathway towards privacy-preserving and context-aware security for distributed Internet of Things environments. The study examines how collaborative machine learning at the edge can support security monitoring and threat detection without requiring sensitive IoT data to be centrally collected. It will develop a research agenda identifying key architectural, methodological, privacy, security, and evaluation challenges, while establishing opportunities for future experimental research and interdisciplinary collaboration.
Progress0%
Chijiuka Akuma
3
Active
Natural Language Processing
This research proposes developing and evaluating a multilingual Large Language Model (LLM) for under-resourced Ethiopian languages. It focuses on building quality multilingual datasets, improving model training through techniques such as transfer learning and fine-tuning, and evaluating performance across tasks including translation, question answering, summarization, text generation, and sentiment analysis. The study also addresses fairness, hallucination, cultural accuracy, code-switching, dialect variation, and limited data. The expected result is an open, reproducible framework with datasets, benchmarks, methodologies, and a prototype Ethiopian-language LLM that can support inclusive AI, education, digital language preservation, and public services.
Progress0%
Esubalew Asmare
1
Open for collaboration
These ICResG research projects are currently accepting new collaborators. Membership is free and open worldwide — join the group, then apply to any project that matches your skills.
Development and Evaluation of Large Language Models for Under-resourced Ethiopian Languages
RecruitingThis research proposes developing and evaluating a multilingual Large Language Model (LLM) for under-resourced Ethiopian languages. It focuses on building quality multilingual datasets, imp…
You need to be an ICResG member to apply to a project. Create an account — it is free — or sign in if you already have an account.
Updates
Collaboration
The Intelligent Computing Research Group (ICResG) is inviting universities, research institutes, academic departments, professional organisations…
Announcement
The Intelligent Computing Research Group (ICResG) has been established as a research community dedicated to connecting researchers, academics, post…
Our people
The researchers and advisors who guide the group, drawn from universities and institutes worldwide.
Calendar
Watch & Learn
Explore talks, tutorials and research highlights from the Intelligent Computing Research Group. Subscribe to follow our latest work in AI, machine learning and data science.
Collaboration
Join ICResG
Open membership irrespective of institution or location. Collaborate on real research, earn authorship through genuine contribution, and help transform promising ideas into publications, software and datasets.
Free, and no application to wait on.
Our Partners & Affiliations
Aurora Data Science Lab
Cape Delta University
Global Society for Intelligent Systems
Helix AI Research Institute
Institute of Applied Computing
Kwarabridge University
Meridian Institute of Technology
National Digital Innovation Agency
Northbridge University
Savanna Intelligence Institute
Vantatech Systems
