Darius Roman is currently a PhD Researcher as part of CDT in Embedded Intelligence based at Heriot Watt University majoring in Prognostics and Health Management from Big Data.
Prior to joining the Smart System Group at Heriot Watt University, Darius has been working as a Design Verification Engineer in the Oil & Gas industry where he was mainly responsible for FEA analysis and modelling of high pressure equipment.
He holds a 1st class MEng Degree with joint honours in Mechanical and Electrical Engineering from the University of Aberdeen. During his studies he joined the Institute of Robotics and Intelligent System (IRIS) at ETH Zurich as a visiting researcher where he developed a novel Catheter Cleaning Microrobot under the supervision of Prof. Bradley Nelson. The 6 months research project successfully concluded with a Thesis submitted at the University of Aberdeen. During his final years of master studies, Darius also developed an algorithm for the selection process of airfoils used in wind turbine rotors in order to improve their efficiency.
His PhD research project aims at using a fusion prognostics approach bringing together modelling, condition monitoring, prognostics and machine learning techniques in order to predict the remaining useful life in drill strings. The project is cosponsored by Baker Hughes, a top-tier oilfield service company with a proven track record of technology innovation.
Darius’s research interests are big data processing using statistics, machine learning and artificial intelligence, prognostics and health management, modelling of critical assets, FMMEA and fusion prognostics.
Darius lives in Edinburgh, UK where he enjoys various activities such as trail running, climbing and mountaineering in the Scottish highlands. Now he usually manages to read one book a month.