Mr Imran Saied

Research Associate in Advanced Care Research Centre

Research Institute: 

  • Integrated Micro and Nano Systems

Research Theme: 

  • Signal and Image Processing
  • Tomography
  • Institute for Micro and Nano Systems Themes
  • Sensors
  • Smart Wireless Devices and Systems


Dr. Imran M. Saied obtained the B.Sc. degree in electrical engineering from the Georgia Institute of Technology, Atlanta, GA, USA, in 2009, M.Sc. degree in electrical engineering from California State University-Fullerton, Fullerton, CA, USA, in 2011, and Ph.D. degree with the University of Edinburgh, Edinburgh, Scotland, in 2020, where he focuses his research on investigating the use of RF and microwaves for monitoring and detecting neurodegenerative diseases.

He has an extensive global research experience spanning across the USA, India, and the U.A.E. Prior to beginning his Ph.D., he worked as a Research Assistant with the Petroleum Institute (now Khalifa University) in Abu Dhabi, U.A.E. from 2013 to 2017. He worked on developing several tomography and spectroscopy systems for real-time oil and gas pipeline monitoring systems. In particular, he focused on THz spectroscopy, ECT/ECAT tomography, and development of sensors and imaging algorithms for these systems. His research work have led to several refereed journal and conference papers that have been published in IEEE and SPE.

Currently, he is working as a postdoctoral research associate for the Advanced Care Research Centre at The University of Edinburgh, where he will be investigating and developing new technologies that will be implemented in care environments to extract (predictive) physiological and falls-related information and patterns that can be used, among other things, for effective interventions and prevention of adverse outcomes.





Academic Qualifications: 

B.Sc. in Electrical Engineering, Georgia Institute of Technology (U.S.A.)

M. Sc. in Electrical Engineering, California State University (U.S.A.)

PhD, The University of Edinburgh

Professional Qualifications and Memberships: 


Research Interests: 

Unobtrusive sensing for care environments

Noninvasive sensing modalities for medical diagnosis and disease monitoring applications

Noninvasive microwave sensing and imaging for neurodegenerative diseases

Wearable and flexible sensor design