Staff Directory

Last Updated

19/11/2018

Email
Post
University of Lincoln
Brayford Pool
Lincoln
Lincolnshire
LN6 7TS
United Kingdom

About Sepehr Maleki

Sepehr Maleki is a Research Fellow in College of Science working on a joint project with Siemens. Applying machine learning and statistical techniques on the ``Big Data’‘, collected from the fleet of Siemens gas turbines all around the globe, his research focuses on developing an assistive tool that helps detection and classification of a failure upon occurrence in the network. Prior to this he was a postgraduate researcher at the University of Southampton. His research focused on developing a model-based approach to address the Fault Detection and Isolation (FDI) problem in multidimensional systems.

Subject Specialism

Fault Detection and Isolation, Changepoint Detection, Multidimensional Systems, Machine Learning, Gaussian Processes

Qualifications

  • Ph.D. Electronics and Electrical Engineering — University of Southampton, 2015
  • MSc. Wireless Communications — University of Southampton, 2011

Orcid ID

0000-0001-6897-7385

Research Interests

  • Big Data

  • Changepoint Detection

  • Gaussian Processes

Research in the Lincoln Repository