Dr Iñaki Esnaola

Department of Automatic Control and Systems Engineering

Senior Lecturer

Inaki Esnaola
Profile picture of Inaki Esnaola
esnaola@sheffield.ac.uk
+44 114 222 5648

Full contact details

Dr Iñaki Esnaola
Department of Automatic Control and Systems Engineering
Amy Johnson Building
Portobello Street
Sheffield
S1 3JD
Profile

I received my MSc in Electrical Engineering from the University of Navarra, Spain in 2006 and a PhD in Electrical Engineering from the University of Delaware, Newark, DE in 2011. I am currently a Senior Lecturer in the Department of Automatic Control and Systems Engineering at The University of Sheffield, and a Visiting Research Collaborator in the Department of Electrical Engineering at Princeton University, NJ.

In 2010-2011 I was a Research Intern at Bell Laboratories, Alcatel-Lucent, Holmdel, NJ, and in 2011-2013 I was a Postdoctoral Research Associate at Princeton University. My research interests include information theory and communication theory with an emphasis on the application to electricity grid problems.

Research interests

I am interested in understanding the role of information in monitoring, communication, and decision making systems. My research lies broadly in:

  • Information theory and data science
  • Machine learning and high-dimensional statistics
  • Cybersecurity
    • Detection and mitigation of data integrity attacks
    • Privacy and confidentiality
  • Information processes on cyberphysical systems
    • Robust estimation with imperfect information
    • Optimal sensor placement problems
Publications

Journal articles

Conference proceedings papers

Patents

  • Tulino AM & Esnaola I (2013) Method Apparatus for Low Complexity Robust Reconstruction of Noisy Signals. (United States). Appl. 21 Mar 2013. RIS download Bibtex download

Reports

  • Ling J, Chizhik D, Tulino AM & Esnaola I (2011) Compressed Sensing Estimation of SCM Urban Channels RIS download Bibtex download
  • Tulino AM & Esnaola I (2011) Robust Reconstruction of Correlated Sparse Signals from Few Noisy Observations: Information Theoretic Bounds RIS download Bibtex download
  • Esnaola I, Tulino AM, Valenzuela R & Marzetta TL (2010) Channel State Information Acquisition in Wireless Systems Using Distributed Compressed Sensing RIS download Bibtex download
Grants

Research Grants

  • Sustainable advanced manufacturing via machine learning-assisted exploitation of sensing and data infrastructure, RCUK, 01/09/2022 - 31/03/2023, £58,153, as PI
Teaching activities
  • ACS232 Signals, Systems, and Communications
  • ACS6106 Cybersecurity for control systems
Professional activities and memberships

Patents

Tulino AM & Esnaola I (2013) Method Apparatus for Low Complexity Robust Reconstruction of Noisy Signals. (United States). Appl. 21 Mar 2013