معرفی
Raza Hasan is a Senior Lecturer in Computing (AI & Data Science) at Solent University, part of the Science and Engineering Research Group. He has been actively involved in research since 2011, with a focus on AI-driven solutions for environmental monitoring, healthcare informatics, robotics, and cybersecurity. His recent work includes the SEAGUARD project (2024–2027), funded by the European Commission and UKRI, which develops unmanned AI robotics for marine environmental awareness.
His research interests span machine learning applications in medical diagnostics, swarm robotics optimization, cybersecurity, and data-driven decision-making systems. He has published 91+ peer-reviewed articles across journals like IEEE Access and Information (Switzerland), with a strong emphasis on practical implementations such as UAV flock coordination, fraud detection systems, and explainable AI in healthcare.
Key themes in his work include:
- Developing intelligent systems for environmental and health monitoring
- Optimizing multi-agent robotic coordination through transfer learning
- Enhancing data interpretability in medical prediction models
- Addressing cybersecurity challenges in cloud and IoT environments
His publications demonstrate a trend toward interdisciplinary applications, combining AI with domain-specific problems in healthcare, agriculture, and transportation. While no formal awards are listed, his prolific output and collaborative projects reflect significant contributions to applied AI research.
