View Proposal

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Proposer

Chengjia Wang

Title

Heterogeneous Multi-agent Intelligent system for fraud detection and early prediction

Goal

Develop and create an agentic playground to enable communication and collaboration of multiple-heterogenous

Description

This is a project targeting at top-tier conference or journal papers, in collaboration with an industrial partner (one of UK's top banking company).

Resources

Background

Url

Difficulty Level

High

Ethical Approval

None

Number Of Students

2

Supervisor

Chengjia Wang

Keywords

machine learning, multi-agent system, banking, large language models, fraud detection, industrial collaboration

Degrees

Bachelor of Science in Computer Science
Bachelor of Science in Computer Systems
Bachelor of Science in Information Systems
Bachelor of Science in Software Development for Business (GA)
Master of Engineering in Software Engineering
Master of Design in Games Design and Development
Master of Science in Artificial Intelligence
Master of Science in Artificial Intelligence with SMI
Master of Science in Business Information Management
Master of Science in Computer Science for Cyber Security
Master of Science in Computer Systems Management
Master of Science in Computing (2 Years)
Master of Science in Data Science
Master of Science in Human Robot Interaction
Master of Science in Information Technology (Business)
Master of Science in Information Technology (Software Systems)
Master of Science in Network Security
Master of Science in Robotics
Master of Science in Software Engineering
Bachelor of Science in Computing Science
Bachelor of Engineering in Robotics
Bachelor of Science in Computer Science (Cyber Security)
Master of Science in Robotics with Industrial Application
Bachelor of Science in Statistical Data Science
BSc Data Sciences