University partners with HAELO to develop groundbreaking anomaly-detection solution

Researchers are developing an app that aims to offer cutting-edge solutions in anomaly detection and regulatory compliance, addressing critical challenges faced by businesses across various sectors.

The research team from the School of Computing, Engineering and Built Environment has partnered tech company HAELO for the project.

Anomalies, defined as patterns or behaviours in data that deviate from the norm, can pose significant risks to businesses, especially in meeting regulatory requirements. Led by a team of researchers including Dr Yan Zhang, Dr Sajid Nazir and Dr Laura Pruszko, the project focuses on leveraging advanced data analysis techniques to uncover hidden anomalies that may threaten business operations and compliance efforts.

The primary objective of this collaboration is to create a user-friendly application that empowers companies, particularly those operating in highly regulated industries such as finance, to detect and mitigate anomalies effectively. By providing a holistic view of critical risk factors, the HAELO app aims to streamline regulatory compliance processes and enhance organisational resilience.

This research initiative is made possible through funding from the Scottish Funding Council (SFC), underscoring the importance of academic-industry partnerships in driving innovation and addressing real-world challenges. The project is set to span a duration of three months, during which the research team will work to develop and refine the anomaly detection and regulatory compliance solution.

Dr Yan Zhang said: “Through this collaboration, Glasgow Caledonian University reaffirms its commitment to fostering impactful research that translates into tangible benefits for industry and society. We will provide updates on the progress of this groundbreaking project as we continue to push the boundaries of knowledge and innovation in anomaly detection and regulatory compliance.”