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Research Symposium

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RESEARCH INVESTIGATORS
Prof Karen Rafferty
QUB Principal Investigator / Head of School
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Prof Chris Nugent
UU Principal Investigator / Head of School
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Prof Hui Wang
QUB Co-Investigator
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Dr Vishal Sharma
QUB Co-Investigator
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Dr Barry Devereux
QUB Co-Investigator
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RESEARCH PROJECTS + PRESENTERS
AI DRIVEN DIGITAL WORKERS (QUB)
PHILIP NEILL

Analysis and Evaluation of Model features for Digital Workers and their correlation with adoptability.

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BLOCKCHAIN (QUB)
GYAN WICKREMASINGHE

Distributed ledger technology for applications beyond cryptocurrency (e.g. supply chain management, auditing management).

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DECISION SUPPORT SYSTEM (UU)
DR SAMUEL MOORE

An AI powered DSS used to simplify and speed up beneficial ownership decision making with human in the loop involvement.

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DEEP LEARNING FOR ANOMALY DETECTION (UU)
MUHAMMAD IMAD

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DIGITAL TWIN (QUB)
DR VIMAL DWIVEDI

Development of a digital twin to enhance supply chain resilience, ensuring that operations can withstand and quickly recover from disruptions.

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DOCUMENT UNDERSTANDING AND NLP (QUB)
ANDREW BROWN
Leveraging deep learning and NLP advancements to automate processing for business documents.

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EXPLAINABLE & TRANSPARENT IMBALANCE LEARNING (UU)
MUHAMMAD ASIM ALI

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FEW SHOT ANOMALY DETECTION (QUB)
YONGSHENG DAI

Accurate and intelligent financial market anomalies detection based on financial time series data and few-shot learning.

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GENERATING PRIVACY PRESERVING SYNTHETIC DATA (UU)
MAJID LIAQUAT, DR IAN CLELAND & DR MIN JING

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IDEA GENERATION (QUB)
DR OLAIDE OYELADE

This project is focused on automatic idea generation using large language models (LLMs) and knowledge graph reasoning. 

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INTELLIGENT PROCESS ANALYTICS (UU)
DR ZEESHAN TARIQ & DR IAN MCCHESNEY

Optimisation of processes within the client onboarding.

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PREDICTING CHAOS WITH MACHINE LEARNING (UU)
KEVIN NOLAN

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PRIVACY ENHANCEMENT TECHNOLOGIES (UU)
DR FEDERICO CRUCIANI

Creation of PET asset will enable safe use of confidential data to generate new insights and enhance business services.

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QUESTION ANSWERING FOR TESTING (QUB)
TIANYU REN

A language model-based question answering system to assess the user's understanding of the provided compliance report and generate a score and feedback.

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RETRIEVAL AUGMENTED GENERATION (QUB)
DR MUHAMMAD ROMAN

Generating up-to-date knowledge from company documents using retrieval augmented generation (RAG).

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RISK ASSESSMENT (QUB)
DR AYESHA ABDUL MAJEED

This project aims to develop a risk modelling toolchain for complex financial systems, incorporating link prediction, automated rule generation, risk calculation and confidence level analysis.

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RISK LANGUAGE MODELS (UU)
DR FEDERICO CRUCIANI

Identification of the relevant detail within risk and control descriptions in an automated manner.

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SECURE MULTIMODAL VR FOR CORPORATE SYSTEMS (QUB)
CALLUM SMITH

Developing an effective mixed reality environment for visualisation of complex audit data.

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SEMI AUTOMATIC DATA LABELLING (UU)
DR FEDERICO CRUCIANI

Automation of generating labelled data for training NLP models.

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SYNTHETIC DATA GENERATION (UU)
DR IAN CLELAND, MAJID LIAQUAT & DR MIN JING

Generation of synthetic data will enable training of models for specific business domains with limited use of client data.

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TABLE EXTRACTION (QUB)
ETHAN BRADLEY

Using synthetic data and deep learning methods to improve the extraction of information from table images in the financial domain.

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ARC at Ulster University
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ARC at Queen's University
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