\n Martha Arbayani Bin Zaidan was born in Banda Aceh, Indonesia. In 2007, he received a BEng degree (with Cumlaude) in Electrical Engineering from Trisakti University, Indonesia. He holds MSc (Eng.) degree (with Distinction) in Control Systems in 2009 from Department of Automatic Control & Systems Engineering (ACSE), The University of Sheffield, UK. He earned his PhD as a Dorothy Hodgkin Postgraduate Award (DHPA) scholar in early 2014 from Rolls-Royce University Technology Centre for control and monitoring systems, at the University of Sheffield, UK, where he collaborated with industrial partners, such as Rolls-Royce plc and Controls Data Services. His research focused on advanced Bayesian approaches for aerospace gas turbine engine prognostics.
\n\n Soon after that, he joined Centre of Advanced Life Cycle Engineering (CALCE) at University of Maryland, College Park, USA to work as a Research Associate on Prognostics and Health Monitoring. On the spring 2015, he spent one Semester as a Visiting Faculty at Sultan Qaboos University, Oman, where he taught control systems engineering and engineering dynamic courses.
\n\n His research interests are in Artificial Intelligence and Machine Learning (e.g. fuzzy logic, neural network, Bayesian techniques, Kernel machines, sampling methods, and inference approximation), Health Monitoring Technologies (e.g. diagnostics, prognostics), Intelligent Control Systems, Systems Identification and various applications including bio-medical robotics, twin rotor dynamics, gas turbine engines, and other intelligent systems.
\n\n His current research focuses on machine learning techniques for computational physics. Martha Arbayani Bin Zaidan's fellowship is mainly funded by Aalto Science Institute (AScI) and Centre of Excellence in Computational Nanoscience (COMP), Aalto University, Finland.
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