Our Research Areas

• Engagement with the North-East AI Growth Zone, including collaboration with universities, industry, and public partners to support research, skills development, and applied AI use cases.
• IT audit, Continuous auditing, Audit data analytics, Audit planning using data analytics, Internal control analytics, Forensic analytics, Textual analytics, Fraud detection analytics, Management accounting decision support systems.
• Areas of AI adoption: Revenue management & contextual optimization, experimental design, Reinforcement learning, Generative AI paradyms (including Autoregressive, Variational, Adversarial, Normalizing Flow, and Diffusion models), Neural Network paradyms.
• AI workflows: Data collection gathers large, diverse text datasets. Data preprocessing tokenizes and cleans text for model input. Model architecture design defines the network structure and parameters. Pretraining trains the model using self-supervised learning. Evaluation and checkpointing monitor training and save progress. Fine-tuning adapts the model for specific tasks. Alignment and safety training aligns outputs with human intent. Evaluation and testing assess reasoning and factual accuracy. Deployment and monitoring optimize efficiency and track performance.
• Enterprise Resources Planning (ERP), Intelligence systems, Management decision making, ESG assurance analytics, Internet of Things (IoT), XBRL, Accounting and audit digitalisation, Cybersecurity, IT governance, IT control, information visualisation, Internet reporting.
• Social media analytics, social networks analytics, information system design, Smart contracts analytics, Cybersecurity reporting, Blockchain applications, Robotic Process Automation (RPA) and AIS intelligence.