Ruhul Amin

Awarded VEIV EngD

In partnership with Skanska, and under the supervision of Professor Michael Pitt and Peter McLennan, my research focuses on the investigation of fault detection, diagnosis and prognosis on mechanical and electrical building assets via numerous sensors and systems for efficient and innovative asset management in order toaddress the problem of asset failure and reduce costly reactive maintenance efforts.

My recent research projects include the application of condition based monitoring solutions and techniques as well as, visualisation of complex sensor data using augmented reality within Construction and Facilities Management.

Primary Supervisor: Michael Pitt

Industry Sponsor: Skanska

Life Cycle Assessment | Built Environment