Azeez Abdul Azeez

Azeez Abdul Azeez is a researcher at Tampere University, specializing in AI-driven condition monitoring systems for mechanical and hydraulic components. His work focuses on integrating artificial intelligence with fluid power systems to enhance fault detection and predictive maintenance. He holds a Doctoral Degree in Mechanical Engineering from Tampere University (2025). Key research areas include gear pump simulation, hydraulic valve diagnostics, and electric drive structures.

Research Interests

His research interests revolve around the application of AI in mechanical systems, including:

• Condition Monitoring of Electro-Hydraulic Systems
• Simulation of Gear Pump Performance under Varying Complexity
• Sensorless Fault Classification in Hydraulic Valves
• Energy Efficiency in Off-Road Mobile Machines

Main Findings

His recent work highlights the importance of model complexity in gear pump simulations (2023), the impact of electric drive structures on hydraulic valve diagnostics (2023), and the potential of AI in non-road machine applications (2025). Collaborations include studies on multi-physics co-simulations of electric vehicles (2023) and offshore renewable energy feasibility in UAE (2021).

Labs and Teams

His research is conducted within Tampere University's Automation Technology and Mechanical Engineering department, often in collaboration with industry partners focusing on fluid power systems and sustainable energy.