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Dr Mahdi Seify is a Senior Lecturer in Project Management and Business Analytics at the University of Northampton, where he leads the MSc Business Analytics programme and directs the FASTER Lab (Future Analytics, Systems, Technology & Emerging Research).

He holds a PhD in AI-Driven Business Analytics from the University of Liverpool, an MBA in Information Systems, and a BEng in Industrial Engineering (Systems Analysis) from Sharif University of Technology. His doctoral research, conducted within the NHS clinical laboratory at the Royal Hospital Liverpool, pioneered the Deep Business Analytics (DBA) framework — enhancing the Management Control Systems with LSTM-based predictive analytics and AI agents to transform strategic control from reactive to proactive.

Dr Seify’s career spans over 15 years across academia, healthcare, public sector, and enterprise. He is an IoA Fellow, PMP®, PMI-ACP®, PMI-PBA®, CQRM®, and ISO/IEC 27001 Lead Auditor and Implementer, with expertise in AI readiness and governance, workflow orchestration, and human-in-the-loop (HITL) automation.

He has successfully managed or contributed to more than 100 projects ranging from £12 000 to £200 million, including initiatives with the World Bank, Unilever’s Materials Innovation Factory, and health-audit agencies in Germany. His practical leadership and research combine AI, data analytics, Business and project management to build explainable, ethical, and value-driven AI systems.

Engage with Dr. Seify on LinkedIn to discover how AI, data, and leadership are shaping the next generation of sustainable and intelligent enterprises.

At Northampton, Dr Seify teaches and leads modules at both undergraduate and postgraduate levels focused on analytics, systems thinking, and digital transformation. His teaching integrates live projects, AI/IoT applications, and industry collaboration to ensure learning is applied and future-ready.

Modules include:

  • Technology in Supply Chains
  • Data Analytics for Business Decision Making
  • Project and Operations Management
  • Digital Twins and the Internet of Things
  • Emerging Technologies
  • Fundamentals of Project Management

Dr Seify’s research focuses on AI-enhanced Management Control Systems, and responsible AI integration in decision-making. His contributions lie in:

  • Developing predictive and causal models within MCS frameworks
  • Designing AI readiness and governance toolkits for SMEs and healthcare organisations
  • Advancing AI Agents and Workflow Orchestration for Human-in-the-Loop automation
  • Promoting ethical and regulatory alignment with GDPR, ESG and EU AI Act
  • Leading FASTER Lab projects in smart cities, net-zero energy, and AR/VR learning

He collaborates with Queen’s University Belfast (RiSC+), Newcastle and local industry partners to translate academic research into real-world solutions.

  • Seify, M. (2025). et al. “AI in Brain Tumour Detection” In *Cognitive and Meta-Learning Strategies in Biomedical Research and Healthcare.* Elsevier. ( Book Chapter)
  • Pandey, A. R., Seify, M. et al. (2023). “Advanced Sentiment Analysis for Managing and Improving Patient Experience.” *IJERPH.*
  • Seify, M. et al. (2022). “Utilising Modern Analytical Approaches to Detect Fraud and Anomalies.” *ICMABEBR.*
  • Seify, M. et al. (2022). “Fraud Detection in Supply Chain with Machine Learning.” *IFAC MIM Conference.*
  • Seify, M. et al. (2010). *Computer Emergency Response Team (CERT).* ISBN 978-964-10-0078-5. ( Book)
  • Seify, M. et al. (2007). *Auditing and Management of Information Security Systems (ISMS).* ISBN 978-9-6480-6890-0. ( Book)

He has presented his work internationally — including MIT, Leeds, Las Vegas, Seville, Hawaii, and Cracow — and continues to contribute to peer-reviewed journals and global conferences in AI, project management, and information security.

Ask Me About

AI Readiness and Governance | Balanced Scorecard Innovation | Predictive Analytics | Human-in-the-Loop Automation | Workflow Orchestration | Data Analytics | Project Management | Information Security | Digital Transformation | Smart Cities | IoT and Digital Twins | Sustainable AI and Ethics