Said Sanei

Saeid Sanei

Professor

School of Science & Technology

Staff Group(s)
Computing and Technology

Role

Professor Sanei is the professor of signal processing and machine learning. He teaches on the Wireless Communication and Networking module and is the Department Research Coordinator for computing and technology.

Career overview

Saeid received his PhD from the Department of Electrical & Electronic Engineering, Imperial College London.

Since then he has been a member of academic staff in Iran, Singapore, and the United Kingdom (King’s College London, Cardiff University, and University of Surrey, where he served as the Deputy Head of Computer Science Department).

He has also been a visitor to RIKEN Brain Institute in Japan, a Distinguished Speaker in Nanyang Singapore, an External Examiner to Glasgow University, London Southbank University, and University of Mauritius.

Research areas

Saeid's research covers a wide area of signal processing and machine learning with major applications to computer networking, communications, speech and biomedical engineering, automation, brain computer interfacing (BCI), and big data. His contributions to tensor factorisation and cooperative networking are also the two main pillars of big data analytics. He has three books, a number of book chapters and over 350 peer reviewed papers mostly with IEEE.

His other areas of research includes:

  • deep learning
  • nature-inspired modelling
  • compressive sensing
  • convex and global optimisation
  • modelling complex systems
  • machine learning
  • pattern recognition
  • complex & quaternion – valued signals and systems, and the related applications to medical signals and images
  • healthcare technology
  • body sensor networking
  • biometrics
  • speech, and communication

External activity

He has been a Member of IEEE Machine Learning for Signal Processing Committee since 2013. He has often been invited as a Keynote speaker for prestigious international conferences, and to present in workshops in conferences, academia and industry.

Meeting, Workshop and Conference Organisation

  • General Chair and Organiser of the 22nd International Conference on Digital Signal Processing, DSP 2017, London, UK
  • Honorary Chair, 1st International Conference on Emerging Trends in Electrical, Electronic and Communication Engineering (ELECOM 2016), Mauritius
  • Technical Co-Chair of European Signal Processing Conference, EUSIPCO 2016, Budapest, Hungary
  • General Chair, IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2013), UK
  • Honorary Chair, Third international Conference on Bio-inspired Systems and Signal Processing, 2010, Valencia, Spain

Editorial Activities

  • Associate Editor of Scientia Iranica Transactions on Electrical Engineering (since August 2017)
  • Editorial Board Member of Journal of Signals (since March 2017)
  • Editorial Board Member of Journal of Neurodevelopment Cognition (since November 2016)
  • Guest Editor of the Journal of Bioengineering, Special Issue in Biomedical Signal Processing (since 2016)
  • Guest Editor of the Sixth Special Issue on Advances in Biomedical Signal and Image Processing, and Biometrics, Elsevier Journal of Computers and Electrical Engineering (2015-2016)

Sponsors and collaborators

Professor Sanei collaborates with many national and international institutions, below are some examples:

  • Department of Electrical & Electronic engineering, Imperial College London
  • Department of Clinical Neuroscience, King’s College London
  • Department of Computer Science, University of Surrey
  • A-star and Department of Electrical & Electronic Engineering, National University of Singapore
  • RIKEN Brain Institute, Japan
  • Department of Electrical Engineering, UCLA, CA, USA

Publications

Books (monograms):

Sanei S and Hassani H, Singular Spectrum Analysis of Biomedical Signals, CRC Press, 2015, ISBN-10: 1466589272

Sanei S, Adaptive Processing of Brain Signals, John Wiley & Sons, 2013, ISBN- 10: 0470686138

Sanei S and Chambers J, EEG Signal Processing, John Wiley & Sons, 2007, ISBN-10: 0470025816

Books (editorial)

Fleming P, Vyas N, Sanei S and Deb K, Emerging Trends in Electrical, Electronic and Communications Engineering, Springer 2016

Sanei S, Smaragdis P, Nandi A, Ho ATS and Larsen J: Proceedings of the International Workshop on Machine Learning for Signal Processing (MLSP)2013, IEEE Press, 2013

Babiloni F, Cichocki A, Sanei S, Astolfi L, Cincotti F and Gonzalez Andino S, Computational Intelligence & Neuroscience, 4th International Conference on Bioinspired Systems and Cognitive Signal Processing, 2011

Book Chapters

Monajemi S, Ensafi S, Lu S, Kassim A, Tan CL, Sanei S and Ong SH, Cooperative Dictionary Learning for HEp-2 Cell classification, Biomedical Signal Processing in Big Data, CRC Press, 2017

Khalili A, Rastegarnia A, Bazzi WM and Sanei S, Maximum Correntropy based Distributed Estimation of Adaptive Networks, Advances in Computer Communications and Networks - from Green, Mobile, Pervasive Networking to Big Data Computing, River Publisher, 2016

Sanei S and Makkiabadi B, Tensor Factorization with Application to Convolutive Blind Source Separation of Speech, Machine Audition: Principles, Algorithms and Systems, IGI-Global Pub., 2009

Recent Journal Papers

Antoniades A, Spyrou L, Martin-Lopez D, Valentin A, Alarcon G, Sanei S and Cheong Took C, Detection of interictal discharges using convolutional neural networks from multichannel intracranial EEG, IEEE Transactions on Neural Systems & Rehabilitation Engineering, 2017, DOI: 10.1109/TNSRE.2017.2755770

Latifi M, Khalili A, Rastegarnia A and Sanei S, Fully Distributed Demand Response Using Adaptive Diffusion Stackelberg Algorithm, IEEE Transactions on Industrial Informatics, 2017, 13(5), 2291-2301, DOI: 10.1109/TII.2017.2703132

Monajemi S, Jarchi D, Ong SH and Sanei S, Cooperative Particle Filtering for Detection and Tracking of ERP Subcomponents from Multichannel EEG,  Journal of Entropy, 2017, 19(5), 199, DOI:10.3390/e19050199

Khalili A, Rastegarnia A and Sanei S, Performance analysis of incremental LMS over flat fading channels, IEEE Transactions on Control of Network Systems, 2017, 4(3), 489-498, DOI 10.1109/TCNS.2016.2516826

Khalili A, Rastegarnia A, Bazzi WM and Sanei S, Analysis of incremental augmented affine projection algorithm for distributed estimation of complex-valued signals, Journal of Circuits, Systems & Signal Processing, 2017, 36 (1), 119-136

Monajemi S, Eftaxias K, Ong SH and Sanei S, An informed multitask diffusion adaptation approach to study tremor in Parkinson’s disease, IEEE Journal of Selected Topics in Signal Processing,  2016, 10(7) , 1306-1314

Spyrou L, Lopez DM, Alarcon G, Valentin A and Sanei S, Detection of intracranial signatures of interictal epileptiform discharges from concurrent scalp EEG, International Journal of Neural Systems, 2016, 26(4), DOI: 10.1142/S0129065716500167

Enshaeifar S, Kouchaki S, Cheong Took C and Sanei S, Quaternion singular spectrum analysis of electroencephalogram with application to sleep analysis, IEEE Trans. on Neural Systems & Rehabilitation Engineering, 2016, 24(1), 57 - 67

Wang S, Tang HL, Al Turk LI, Hu Y, Sanei S, Saleh GM and Peto T, Localising microaneurysms in fundus images through singular spectrum analysis, IEEE Trans. on Biomedical Engineering, 2016, 10.1109/TBME.2016.2585344

Khalili A, Rastegarnia A and Sanei S, Tracking performance of incremental augmented complex least mean square adaptive network in the presence of model non-stationarity, IET Signal Processing, 2016, 10 (7), 798-804

See all of Saeid Sanei's publications...

Press expertise

  • Sensor Networking
  • Medical Imaging
  • Healthcare Technology
  • Tensor Factorisation
  • Adaptive and Nonlinear Systems
  • Complex and Quaternion-valued Signal Processing
  • Machine Learning
  • Subspace Methods

Course(s) I teach on