ICResG Platform Restored – We Are Back!

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From Ideas to Impact
ICResG From Ideas to Impact
Join ICResG

Unlocking the future with collaborative research.

ICResG is an open research platform for AI and intelligent computing. Join a live project, work with researchers worldwide, and earn authorship on the papers you help write.

500+ Members
Researchers working on a computing project
Active projects Open to collaborators

Free tool

Reference generator

Accurate APA, Harvard, MLA and IEEE citations — paste a DOI, URL or ISBN. No account needed.

Open the full generator for a running list you can copy or download.

Research areas

The themes our work is organised around. Every project and publication belongs to one.

View all areas
Artificial Intelligence 01 Foundations Artificial Intelligence Theory, methods and applications of artificial intelligence, from knowledge representation and reasoning to intelligent agents and decision-making systems. Chijiuka Fortune Akuma Founder & Research Lead Explore now
Machine Learning 02 Foundations Machine Learning Supervised, unsupervised and reinforcement learning methods, model evaluation and the development of robust learning systems. Victor Bassey Technical Director Explore now Deep Learning 03 Foundations Deep Learning Neural architectures, representation learning, generative models and large-scale training for perception and language tasks. Explore now

Solutions

Our Initiatives

All initiatives

At ICResG, our initiatives translate research, innovation and collaboration into meaningful impact. Through interdisciplinary programmes addressing societal challenges, technological advancement and sustainable development, we connect researchers and partners to generate knowledge, develop solutions and contribute to a better future.

Computiva

Computiva: Journal of Computing and Intelligent Systems

Computiva is ICResG's scholarly journal advancing research and innovation in computing, artificial intelligence, data science and intelligent systems through responsible academic publishing. Launching soon.

Smart Cities

Smart Cities and Intelligent Transport Systems

Exploring AI, data science and intelligent technologies to advance sustainable urban development, smarter mobility, safer transportation and resilient infrastructure.

Gender equality

Gender Equality, Women and the Girl Child

Promoting research that advances gender equality, girls' education, women's empowerment, leadership, safety and equitable opportunities through evidence-informed approaches.

Poverty Alleviation and inclusion

Poverty Alleviation and Inclusive Development

Advancing research on poverty reduction, economic empowerment, social inclusion and sustainable livelihoods through evidence-based solutions, innovation and inclusive development strategies.

Current projects

Live studies underway across the group. Three are featured here; the full list is on the projects page.

All projects
30% Internet of Things Converging Federated Learning, Edge Intelligence and Situational Awareness for Privacy-Preserving IoT Security: A Vision and Research Agenda 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. Chijiuka Akuma Project lead View project
100% Active Development and Evaluation of Large Language Models for Under-resourced Ethiopian Languages 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. Esubalew Asmare Project lead View project

Projects recruiting members

Open studies looking for collaborators. Membership is free — join the group, then apply. More openings are listed on the projects page.

All projects
5 open Human Computer Interaction Music, Affect, Attention and Personality: A Responsible Multimodal AI Study Investigate how music-related audio features, self-reported affect, attention measures and personality traits interact, using transparent multimodal AI and non-clinical, consent-based research methods. Mohmad Azhar Teli Project lead Join now
5 open Recruiting Human-Centred AI for Research Management in Agricultural Higher Education Study and prototype responsible decision-support methods that improve research planning, data quality and institutional learning across academia, research and extension in agricultural higher education. Mohmad Azhar Teli Project lead Join now 7 open Recruiting Multilingual Personality Computing for Low-Resource South Asian Languages Develop ethical, interpretable and culturally aware personality-computing resources and models for low-resource South Asian languages, beginning with Urdu and Kashmiri where feasible and extending only through qualified language collaborators. Mohmad Azhar Teli Project lead Join now
Researchers collaborating around a shared computing project
1 Partner Institutions

About us

We open research so people can build with AI together.

The Intelligent Computing Research Grid (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.

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2
Active Projects
457+
Publications

Why join us

Turn your ideas into impact.

Open membership, live collaboration, and authorship you earn by contributing — from anywhere, at no cost.

Join now
517+ researchers already in

Open worldwide

Join from any country or institution.

Live collaboration

Work on real projects with researchers worldwide.

Earned authorship

Recognition for genuine contribution, never automatic.

Free to start

No fees, and no application to wait on.

Spotlight

In the Spotlight

Senior academics and established researchers who have joined ICResG.

Meet the group
Paul Agu Igwe
01 / 04

Paul Agu Igwe

Fellow

University of Roehampton · United Kingdom

I am Dr Paul Agu Igwe, Senior Lecturer in Strategy and Management at the University of Roehampton Business School, London. Previously I served as Associate Professor of Entrepreneurship and Innovation and Programme Lead for BA Business with Entrepreneurship at the University of Lincoln. I hold a PhD and MSc from the University of Plymouth and…

Technology and Digital Transformation
Full profile

Our people

Our People

The researchers and advisors who guide the group, drawn from universities and institutes worldwide.

All researchers

Calendar

Upcoming Events

Talks, workshops and seminars, open to members and to anyone who wants to come.

All events

Updates

News & Announcements

All news
Announcement

2 min read

ICResG Launches Its Research Management Platform

The Intelligent Computing Research Group (ICResG) has been established as a research community dedicated to connecting researchers, academics, postgr…

Watch & Learn

From Our YouTube Channel

Explore talks, tutorials and research highlights from the Intelligent Computing Research Grid. Subscribe to follow our latest work in AI, machine learning and data science.

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Collaboration

Affiliations & Partners

All partners →
African Skills And Innovation Network United Kingdom

Have questions?

Frequently asked questions

The things people ask before joining. If yours is not here, the group answers email within a working day.

Write to us contact@icresg.org
Who can join ICResG?
Anyone doing or learning computing research. Registration is open and free, and you choose which projects to ask to join.
Does it cost anything?
No. The reference generator is free and needs no account, and membership of the group costs nothing.
Can I use the reference generator without signing up?
Yes. Paste a DOI, PubMed ID, arXiv number, ISBN or web address on the homepage and you get the reference in eighteen styles.
Do I need to be at a university?
No. Independent researchers and practitioners are welcome, and several current projects are led from outside a university.
How do I propose a project?
Sign in, open Projects, and submit a proposal. A coordinator reviews it and comes back to you.
Can I write my paper here?
Yes. Members write manuscripts in the portal, cite while writing, and export to Word, LaTeX or Overleaf with the reference list built for them.

Newsletter

Keep up with the group.

Calls for collaborators, papers and events — a short note when there is something worth saying.

The address is not shared, and one click leaves the list.