Professor Saeid Sanei

BSc, MSc, PhD, DIC, SMIEEE, FBCS

 

Publications

 

Papers in Conference Proceedings:

 

280. S. Shirani, B. Abdi-Sargezeh, A. Valentin, G. Alarcon, D. Jarchi, J. Bird, and S. Sanei, “Distributed Beamforming for Localization of Brain Seizure Sources from Intracranial EEG Array,” Proceedings of European Signal Processing Conference, EUSIPCO 2024, Lyon, France.

279. S. Sanei, A. Zandbagleh, and P. Premkumar, “Quantitative EEG biomarkers of schizotypy,” Affect, Personality and Embedded Brain (APE 2023), Porto, Portugal (Abstract – Presentation).

278. Z. Wan and S. Sanei, “Crowd modeling and control via cooperative adaptive filtering, Proceedings of IEEE Int. Conf. on Acoustics, Speech, and Signal Processing (ICASSP) 2024, Seoul, South Korea.

277. Y. Xia, X. Zhang, and S. Sanei, “Murmur separation and classification from heart sound,” Proceedings of IEEE conference on e-Health and Biomedical Engineering, EHB 2023, Bucharest, Romania.

276. T. K. M. Lee, S. Sanei, et al. “Fidelitous augmentation of human accelerometric data for deep learning,” Proceedings of IEEE International Conference on E-Health Networking, Application, and Services, Healthcom 2023, China.

275. E. Eqlimi, B. Makkiabadi, M. Kouti, A. Fotouhi, and S. Sanei, “Underdetermined blind identification via k-sparse component analysis; RANSAC-driven orthogonal subspace search,” Proceedings of 31st European Signal Processing Conference, EUSIPCO 2023, Finland.

274. A. Falcon-Caro and S. Sanei, “Gesture recognition via estimation of information exchange between muscles,” Int. Conf. on Digital Signal Processing, DSP 2023, Rhodes, Greece.

273. T. K. M. Lee, S. Sanei, et al., "Intrinsic aspects of human accelerometer data for machine learning,” IEEE Workshop on Statistical Signal Processing, SSP 2023, Hanoi, Vietnam.

272. A. Falcon-Caro, Marc and S. Sanei, “A diffusion adaptation approach to model brain responses in an EEG-based hyperscanning study, IEEE Workshop on Statistical Signal Processing, SSP 2023, Hanoi, Vietnam.

271. B. Abdi-Sargezeh and S. Sanei, “Mapping scalp to intracranial EEG using generative adversarial networks to detect interictal epileptiform discharges,” IEEE Workshop on Statistical Signal Processing, SSP 2023, Hanoi, Vietnam.

270. M. Manzar, S. Sanei, and C. Cheongtook, “Optimizing the filter size of CNNs without backpropagation,” IEEE Workshop on Statistical Signal Processing, SSP 2023, Hanoi, Vietnam.

269. A. Falcon-Caro and S. Sanei, “Cooperative Networking Approach to Assisting Blinds in a Crowd Using Air Trackers,” 4th International Conference on Emerging Trends in Electrical, Electronic and
Communications Engineering (ELECOM) 2022, Mauritius (10.1109/ELECOM54934.2022.9965262).

268. A. Naderian and S. Sanei, “Automated Bone Segmentation Using a Hybrid Model of DRLSE and F-RCNN,” Proceedings of IEEE International Conference on Signal Processing Algorithms, Architecture, Arrangements, and Applications, SPA 2022, Poznan, Poland.

267. T. K. M. Lee and S. Sanei, “Shape preserving surrogate data with singular spectrum analysis for synthetic time series,” Proceedings of IEEE International Conference on Signal Processing Algorithms, Architecture, Arrangements, and Applications, SPA 2022, Poznan, Poland.

266. P. Kumar, A. Zand, and S. Sanei, “Using machine learning to classify high and low schizotypy from event-related potentials in a novel auditory oddball task on perceived family stress” Symposium on "Neuroscience of schizotypy: from imaging to targeted interventions, International Consortium of Schizotypy Research, ICSR 2022 in Marburg, Germany (Presentation)

265. B. Sanabria-Barradas, S. Sanei, and D. E. Granados-Ramos, “A hybrid tensor factorization - singular spectrum analysis approach for ERP-based assessment of autism in children,” Proceedings of European Signal Processing Conference, EUSIPCO 2022, Belgrade, Serbia.

264. A. Falcon-Caro and S. Sanei, “Diffusion adaptation for crowd analysis,” Proceedings of IEEE eHealth and Bioengineering (EHB) Conference, Iasi, Romania, 2021.

263. C. C. Took, S. Alty, D. Martin-Lopez, A. Valentín, G. Alarcon and S. Sanei, “Transfer learning of EEG for analysis of interictal epileptiform discharges”, Proceedings of IEEE eHealth and Bioengineering (EHB) Conference, Iasi, Romania, 2021.

262. M. Zhao, A. K. Naderian and S. Sanei, Generative adversarial networks for medical image super-resolution,” Proceedings of IEEE eHealth and Bioengineering (EHB) Conference, Iasi, Romania, 2021.

261. B. Abdi-Sargezeh, A. Valentin, G. Alarcon, and S. Sanei, “Online detection of scalp-invisible mesial-temporal brain interictal epileptiform discharges from EEG,” Proc of IEEE Int. Conf. on Acoustics, Speech, and Signal Processing (ICASSP) 2022, Singapore.

260. B. Abdi-Sargezeh, A. Valentin, G. Alarcon, and S. Sanei, “Detection of brain interictal epileptiform discharges from intracranial EEG by exploiting their morphology in the tensor structure,” Proceedings of European Signal Processing Conference, EUSIPCO 2021, Dublin, Ireland.

259. B. Abdi-Sargezeh, A. Valentin, G. Alarcon, and S. Sanei, “Incorporating uncertainty in data labeling into detection of brain interictal epileptiform discharges from EEG using weighted optimization,” Proceedings of IEEE Int. Conf. on Acoustics, Speech, and Signal Processing (ICASSP) 2021. Toronto, Canada.

258.  G. A. Osinakachukw and S. Sanei, “Singular spectrum analysis of nonstationary signals,” Proceedings of ELECOM 2020, Mauritius.

257. A. Prochazka, O. Vysata, D. Jarchi, and S. Sanei, “Comparative study of deep learning based sleep scoring methods, Proceedings of ELECOM 2020, Mauritius.

256. T. K. M. Lee, H. W. Chan, K.-H. Leo, E. Chew, L. Zhao and S. Sanei, “Phase randomized rehabilitative data for artificial intelligence of medical things.” Proceedings of 24th Conference on
Signal Processing: Algorithms, Architectures, Arrangements, and Applications, SPA 2020, 23-25th September 2020 - Poznań, Poland

255. D. Jarchi, A. Prochazka, and S. Sanei, “A new spectrum driven index for the assessment of ECG signal quality,” Proceedings of IEEE Engineering in Medicine and Biology Conference, EMBC 2020, Montréal, Québec, Canada.

254. S. Sanei, D. Jarchi, C. Cheongtook, and A. Prochazka, “EEG connectivity - informed cooperative adaptive line enhancer for recognition of brain state,” Proceedings of 45th International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2020), May 4-9, 2020, Barcelona, Spain

253. A. Golnari, H. Khosravi, and S. Sanei, “DeepFaceAR: deep face recognition and display personal information via augmented reality, 11th International Conference in Machine Vision and Image Processing, (MVIP) 2020, Tehran, Iran.

252. T. K. M Lee, E. Y. L. Kuah, K.-H.Leo, S. Sanei, E. Chew, and L. Zhao, “Surrogate rehabilitative time series data for image-based deep learning,” Proceedings of EUSIPCO 2019, A Coruna, Spain.

251. D. Jarchi and S. Sanei, “Derivation of respiratory effort from photoplethysmography,” Proceedings of EUSIPCO 2019, A Coruna, Spain.

250. S. Mahvash-Mohammadi, S. Kouchaki, S. Sanei, D.-J. Dijk, A. Hilton, K. Wells, Tensor factorization and transfer learning for sleep pose detection,” Proceedings of EUSIPCO 2019, A Coruna, Spain.

249. D. Jarchi, S. Sanei, and A. Prochazka, “Detection of sleep apnea/hypopnea events using synchrosqueezed wavelet transform,” Proceedings of the IEEE Int. Conf. on Acoustics, Speech, and Signal Processing (ICASSP) 2019, Brighton, UK.

248. S. Sanei and T. K. M. Lee, “Informed Cooperative Adaptive Line Enhancer for Detection of Spindles from Sleep EEG,” Proc. IEEE Digital Signal Processing Conference, DSP 2018, Shanghai, China.

247. T. K. M. Lee, J. G. Lim K. H. Leo, S. Sanei, “Towards enhancing and automating the Block and Box Test,” Proc. of the IEEE Digital Signal Processing Conference, DSP 2018, Shanghai, China.

246. S. Sanei, C. Cheong Took, and S. Enshaeifar “Quaternion adaptive line enhancer based on singular spectrum analysis,” Proceedings of IEEE Int. Conf. on Acoustics, Speech, and Signal Processing (ICASSP) 2018, Calgary, Canada.

245. S. Sanei, O. Geman, S. Monajemi, K. Eftaxias, D. Jarchi, “Cooperative Learning for Biomedical Signal Processing and Recognition,” Proceedings of the 6th IEEE International Conference on E-Health and Bioengineering - EHB 2017, pp. 687-692, Siania, Romania (Keynote).

244. S. Sanei, C. Cheong Took, S. Enshaeifar, and T. K. M. Lee, “Quaternion adaptive line enhancer,” Proceedings of the European Signal Processing Conference, EUSIPCO 2017, Kos, Greece.

243. T. K. M. Lee, K.-H. Leo, S. Sanei and E. Chew, “Triaxial Rehabilitative Data Analysis Incorporating Matching Pursuit,” Proceedings of the European Signal Processing Conference, EUSIPCO 2017, Kos, Greece. 

242. A. Prochazka, J. Kuchynka, O. Vysata, M. Valis, S. Sanei, K. Zuntova, “Softmax Competitive Function Networks in Sleep Stages Pattern Recognition”, IMA 2016, Birmingham, UK.

241. X. Z. Zhang; Z. Yang, W. L. Woo, and  S. Sanei, Optimal design of discrete fractional Fourier transform matrices for constructing overcomplete kernel for sparse representations, Proceedings of the 21st Int. Conference on Digital Signal Processing, DSP 2016, China.

240. T. K. M. Lee, J. G. Lim, K. H. Leo, S. Sanei, E. Chew and L. Zhao, “Towards rehabilitative e-health by introducing a new automatic scoring system,” Proceedings of the IEEE 18th International Conference on E-health Networking, Application & Services (HealthCom), Germany, 2016.

239. A. Safaei, H. L. Tang, and S. Sanei, “Incorporating negentropy in saliency-based search free car number plate localization,” Proceedings of the International Conference on Digital Signal Processing, DSP 2016, Beijing, China.

238. H. Wang, W. Fang, W. Wang, Y. Zhang, and S. Sanei, “Analysis dictionary learning based on MAX transvection function,” Proceedings of the IEEE International Conference on Signal and Image Processing, ICSIP 2016, China.

237. S. Wang, H. Tang, and S. Sanei, “Retinal vessel extraction by integrating singular spectrum analysis and morphological reconstruction,” Proceedings of the 19th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2016, Turkey.

236. A. Antoniades, L. Spyrou, C. C. Took and S. Sanei, “Deep learning for epileptic EEG data” Proceedings of the IEEE Machine Learning for Signal Processing (MLSP 2016) Workshop, Italy, 2016.

235. O. Geman, I. Chiuchisan, K. Eftaxias, and S. Sanei, “Joint EEG - EMG Signal Processing for Identification of the Mental Tasks in Patients with Neurological Diseases,” Proceedings of the 24th European Signal Processing Conference, EUSIPCO 2016, Budapest, Hungary.

234. S. Monajemi, S. Ensafi, S. Lu, A. A. Kassim, C. L. Tan, S. Sanei, and S.-H. Ong, “Classification of HEp-2 cells using distributed dictionary learning,” Proceedings of the 24th European Signal Processing Conference, EUSIPCO 2016, Budapest, Hungary.

233. D. Lee, T. K. M. Lee, K. H. Leo, Y. H. Wong, S. Sanei, Z. Ling, E. Chew, D. Lee “Objectifying rehabilitative tests with singular spectrum analysis, Proceedings of International Conference on Multimedia Systems and Signal Processing, ICMSSP, Singapore, 2016.

232. L. Spyrou and S. Sanei, “Coupled dictionary learning for multimodal data: an application to concurrent intracranial and scalp EEG,” Proceedings of the IEEE Int. Conf. on Acoustics, Speech, and Signal Processing (ICASSP), 2016, Shanghai, China.

231. S. Enshaeifar, C. C. Took, S. Sanei, and D. P. Mandic, “Novel quaternion matrix factorisation,” Proc. of the IEEE Int. Conf. on Acoustics, Speech, and Signal Processing (ICASSP), 2016, Shanghai, China.

230. A. Khalili, A. Rastegar, and S. Sanei, “Partial-Diffusion Least Mean-Square Estimation Over Networks Under Noisy Information Exchange”, Proceedings of the Iranian Conference on Electrical Engineering (ICEE), Shiraz, Iran, 2016.

229. O. Geman, S. Sanei, A. Procházka, K. Eftaxias, H.-N. Costin, and O. Vyšata,  “Challenges and trends in ambient assisted living and intelligent tools for disabled and elderly people,” Proc. of  International Workshop on Computational Intelligence for Multimedia Understanding, IWCIM, Prague, Czech Republic, 2015.

228. T. K. M. Lee, K. H. Leo, E. Chew, and S. Sanei, “Automated scoring of rehabilitative tests via time-frequency informed singular spectrum analysis,” Proc. of  International Workshop on Computational Intelligence for Multimedia Understanding, IWCIM, Prague, Czech Republic, 2015.

227. L. Spyrou, S. Kouchaki, and S. Sanei, Multiview classification of brain data through tensor factorisation” Proc. of IEEE Workshop on Machine Learning for Signal Processing (MLSP), Boston, USA, 2015.

226. S. Monajemi, S. Sanei, S. H. Ong, and A. H. Sayed, “Adaptive regularized diffusion adaptation over multitask networks,” Proc. of IEEE Workshop on Machine Learning for Signal Processing (MLSP), Boston, USA, 2015.

225. S. Shapoori and S. Sanei, “Joint blind source separation and partial dictionary learning for detection of medial temporal brain discharges,” Proc. of IEEE Workshop on Machine Learning for Signal Processing (MLSP), Boston, USA, 2015.

224. S. Mahvash Mohammadi, S. Enshaeifar, M. Ghavami, and S. Sanei, “Classification of awake, REM, and NREM from EEG via singular spectrum analysis,” Proc. of IEEE EMBC, 2015, Milan, Italy.

223. S. Kouchaki, S. Enshaeifar, C. Cheong Took, and S. Sanei, “Complex tensor based blind source separation of EEG for tracking P300 subcomponents,” Invited Paper, Proc. IEEE EMBC 2015, Millan, Italy.

222. S. Kouchaki and S. Sanei, “A new tensor factorisation approach for convolutive separation of complex signals,” Invited Paper, Proc. 12th International Conference on Latent Variable Analysis and Signal Separation (LVA/ICA 2015), August 25 - 28, 2015, Liberec, Czech Republic.

221. S. Ensafi, S. Monajemi, S. H. Ong, and S. Sanei, “Adaptive distributed dictionary learning method for HEP-2 Cell image classification,” Proc. 18th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Oct 2015, Munich, Germany.

220. K. Eftaxias, O. Geman, S. Enshaeifar, S. Kouchaki, and S. Sanei, “Detection of Parkinson’s Tremor from EMG Signals; A Singular Spectrum Analysis Approach,” Proceedings of the Int. Conference on Digital Signal Processing, DSP 2015, Singapore.

219. T. K. M. Lee, K. H. Leo, E. Chew, and S. Sanei, “Automated scoring of rehabilitative tests with singular spectrum analysis,” Proceedings of European Signal Processing Conference, EUSIPCO 2015, France.

218. S. Shapoori, S. Sanei, and W. Wang, “A novel approach for detection of medial temporal discharges using blind source separation incorporating dictionary look up,” Proceedings of the IEEE EMBS Neural Engineering Conference (NER'15), Montpellier, France April 22-24, 2015.

217. O. Geman, S. Sanei, A.Prochazka, O. Vysatao, “Towards an Inclusive Parkinson’s Screening System,” Proceedings of the 18th International Conference on System Theory, Control and Computing, ICSTCC 2014, Sinaia, Romania, (Special Session) October 17-19, 2014.

216. K. Eftaxias and S. Sanei, “Discrimination of task-based EEG signals using diffusion adaptation and S-transform coherency,” Proceedings of the IEEE Workshop on Machine Learning for Signal Processing of the IEEE Machine Learning for Signal Processing (MLSP 2014) Workshop, France.

215. J. G. Lim, T. K. M. Lee, X. Y. Pang, and S. Sanei, “Investigation of wireless rehabilitative assessment data using singular spectrum analysis,” Proceedings of the 13th International Conference on Control, Automation, Robotics and Vision, ICARCV 2014, Singapore.

214. A. Safaei, H. L. Tang, and S. Sanei, “Search-free license plate localization based on saliency and local variance estimation, Proceedings of 7th International Conference on Machine Vision (ICMV 2014) in Millan, Italy. Published in the SPIE International Society for Optical Engineering 9445 2015.

213. J. G. Lim, T. K. M. Lee, S. Sanei, X. Y. Pang, “Singular spectrum analysis of wireless rehabilitative assessment data,” Proceedings of 19th Int. Conference on Digital Signal Processing, DSP 2014, Hong Kong.

212.  S. Monajemi, S. H. Ong, and S. Sanei, “Advances in bacteria motility modelling via diffusion adaptation,” Proceedings of European Signal Processing Conference, EUSIPCO 2014, Portugal.

211. A. Khalili, A. Rastegarnia, S. Sanei, and W. Bazzi, “A distributed algorithm for in-network adaptive estimation using incremental aggregated gradient,” Proceedings of The Tenth International Conference on Wireless and Mobile Communications, ICWMC 2014, Seville, Spain.

210. T. K. M. Lee, S. Gan, J. Ghee Lim, S. Sanei, “Multivariate singular spectrum analysis approach to clinically-motivated movement biometrics,” Proceedings of European Signal Processing Conference,  EUSIPCO 2014, Portugal.

209. S. Kouchaki and S. Sanei, “Symmetric tensor factorization for single-channel source separation,” Proceedings of IEEE Sensor Array and Multichannel Signal Processing, SAM 2014, Spain.

208. S. Enshaeifar, S. Sanei, C. Cheong-took, Singular Spectrum Analysis of P300 for Classification,” Proceedings of IEEE Int. Joint Conference on Neural Networks, IJCNN, 2014.

207. H. Azami, M. Saraf, K. Mohammadi and S. Sanei, “A Novel Extracellular Spike Detection Approach for Noisy Neuronal Data,” Proceedings of Symposium on Artificial Intelligence and Signal Processing (AISP) 2013, Springer Verlag, vol. 427, pp 332-343, 2014.  (Acceptance rate 22%).

206. S. Enshaeifar, S. Sanei, and C. Cheong-Took, “An eigen-based approach for complex-valued forecasting,” Proceedings of IEEE Int. Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014

205. M. Saraf, H. Azami, M. R. Daliri and S. Sanei, “The brain’s neural classifiers considering both the posterior probabilities and generalities to control the mechanism underlying decision making; An evidence for computational bayesian classifiers,” Proceedings of 3rd International eConference on Computer and Knowledge Engineering (ICCKE 2013), Iran.

204. A. Khalili, A. Rastegarnia, S. Sanei, and W. Bazzi, “Cooperation gain in steady-state performance of diffusion adaptive networks with noisy links,” Proceedings of IEEE Int. Workshop on Machine Learning for Signal Processing (MLSP), 2013, UK.

203. B. Makkiabadi and S. Sanei, “An orthogonal tensor model for underdetermined blind identification and separation of sources with sparse events,” Proceedings of IEEE Int. Workshop on Machine Learning for Signal Processing (MLSP), 2013, UK.

202. B. Makkiabadi and S. Sanei, “Blind identification and separation of sources with sparse events,” Proceedings of IEEE Int. Workshop on Machine Learning for Signal Processing (MLSP), 2013, UK.

201. S. Kouchaki and S. Sanei, “Tensor based singular spectrum analysis for nonstationary source separation,” Proceedings of IEEE Int. Workshop on Machine Learning for Signal Processing (MLSP), 2013, UK.

200. S. Kouchaki and S. Sanei, “Supervised single channel source separation of EEG signals,” Proceedings of IEEE Int. Workshop on Machine Learning for Signal Processing (MLSP), 2013, UK.

199. H. Azami and S. Sanei, “Segmentation of medical images based on hierarchical evolutionary and bee algorithms,” Proceedings of IEEE Int. Workshop on Machine Learning for Signal Processing (MLSP), 2013, UK.

198. S. Shapoori, W. Wang, and S. Sanei, “A constrained approach for extraction of pre-ictal discharges from scalp EEG” Proceedings of IEEE Int. Workshop on Machine Learning for Signal Processing (MLSP), 2013, UK.

197. Y. Zhang, H. Wang, W. Wang and S. Sanei, K-plane clustering algorithm for analysis of dictionary learning, “Proceedings of IEEE Int. Workshop on Machine Learning for Signal Processing (MLSP), 2013, UK.

196. T. K. M. Lee, S. S. W. GAN, J. G. LIM, and S. Sanei, “Singular spectrum analysis of rehabilitative assessment data,” Proceedings of ICICS 2013, Taiwan,

195. T. K. M. Lee, S. S. W. Gan, S. Sanei, and S. Kouchaki, “Assessing rehabilitative reach and grasp movements with singular spectrum analysis,” Proceedings of European Signal Processing Conference, EUSIPCO 2013, Marakesh.

194. K. Eftaxias and S. Sanei, “Diffusion adaptive filtering for modeling brain responses to motor tasks” 18th Int. Conf. on Digital Signal Processing (DSP 2013), Santorini, Greece.

193. S. Kouchaki and S. Sanei, “New spatially constrained tensor decomposition for source separation” 18th Int. Conf. on Digital Signal Processing (DSP 2013), Santorini, Greece.

192. H. Azami, M. Azarbad, and S. Sanei, “Classification of digital communication signals based on adaptive neuro-fuzzy inference system,” Proceedings of 21st Iranian Conference on Electrical Engineering (ICEE 2013).

191. H. Azami and S. Sanei, “Extracellular spike detection approaches for noisy neuronal data using singular spectrum analysis” Proceedings of 21st Iranian Conference on Electrical Engineering (ICEE 2013).

190. K. Eftaxias, S. Sanei, and A. Sayed, “Modelling brain cortical connectivity using diffusion adaptation,” Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP, 2013, Vancouver, Canada.

189. S. Ferdowsi, V. Abolghasemi, and S. Sanei, “EEG-fMRI integration using a partially constrained tensor factorization,” Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP, 2013, Vancouver, Canada.

188. S. Kouchaki, S. Sanei, “Multichannel singular spectrum analysis using tensor factorization,” Proceedings of IEEE Int. Workshop on Machine Learning for Signal Processing (MLSP), 2013, UK.

187. H. Azami, M. Azarbad, S. Sanei, “New applied methods for optimum GPS satellite selection,” Proceedings of the 3rd joint conference of AI & Robotics and the 5th RoboCup International Symposium, RIOS, 2013.

186. P. Ahmadian S. Sanei, L. Ascari L. Gonz´alez-Villanueva and M. A. Umilt, “A framework to extract readiness potential in single trials of EEG,” Proceedings of International Conference on Medical Imaging using Bio-inspired and Soft Computing , MIBISOC, Belgium, 2013.

185. M. Azarbad, H. Azami, and S. Sanei, “An Effective Method for Classification of Digital Communication Signals,” Proceedings of the 21st Iranian Conference on Electrical Engineering, 2013. Mashhad, Iran.

184. H. Azami and S. Sanei, “Three Novel Spike Detection Approaches for Noisy Neuronal Data,” Proceedings of 2nd International eConference on Computer and Knowledge Engineering, ICCKE, 2012.

183. H. Azami and S. Sanei, “Automatic Signal Segmentation based on Singular Spectrum Analysis and Imperialist Competitive Algorithm,” Proceedings of 2nd International eConference on Computer and Knowledge Engineering, ICCKE, 2012.

182. A. Amran and S. Sanei, “A new frequency domain blind separation and localization of anechoic mixtures incorporating spatial notch filtering, Proc. of Computational Intelligence, Modelling & Simulation conference, CIMSim2012, Malaysia.

181. H. Azami, M. Malekzadeh and S. Sanei, “A New Neural Network Approach for Face Recognition based on Conjugate Gradient Algorithms and Principal Component Analysis”,  Proc. of International Conference on Nonlinear Modeling & Optimization, 2012.

180. H. Azami, M. Malekzadeh and S. Sanei, “Optimization of orthogonal polyphase coding waveform for MIMO radar based on evolutionary algorithms”, Proc. of International Conference on Nonlinear Modeling & Optimization, 2012 .

179. S. Ferdowsi, V. Abolghasemi, and S. Sanei, “Blind separation of ballistocardiogram from EEG via short- and long-term linear prediction filtering,” Proc. of Machine Learning and Signal Processing, MLSP 2012, Spain.

178. B. Makkiabadi and S. Sanei, “Factorization based blind identification and separation of nonstationary seizure signals,” Proc. International Conference on Artificial Intelligence and Signal Processing, AISP 2012, Shiraz, Iran.

177. H. Azami, S. Sanei and H. Alizadeh, “GPS GDOP classification via advanced neural network training,” International Conference on Contemporary Issues in Computer and Information Sciences, 2012.

176. H. Azami, M. Malekzadeh, and S. Sanei, “Improving the Neural Network Training for Face Recognition based on Conjugate Gradient Algorithms and Principal Component Analysis,” Proc. of International Conference on Nonlinear Modeling & Optimization, Amol, 2012.

175. H. Azami, A. Khosravi, M. Malekzadeh and S. Sanei, “A new adaptive signal segmentation approach based on Hiaguchi‟s fractal dimension”, International Conference on Intelligent Computing, Journal of Communications in Computer and Information Science (Springer Verlag), vol. 304, pp. 152-159, 2012.

174, Z. Yang, C. Qing, B. W. K. Ling, W. L. Woo and S. Sanei, “Orthogonal overcomplete kernel design for sparse representation,” International Symposium on Communication Systems, Networks, and Digital Signal Processing, CSNDSP, 18-20 July, 2012, Poznan, Poland.

173. Z. Yang, C. Qing, B. W. K. Ling, W. L. Woo and S. Sanei, “Optimal overcomplete kernel design for sparse representations via discrete fractional Fourier transforms,” International Symposium on Communication Systems, Networks, and Digital Signal Processing, CSNDSP, 18-20 July, 2012, Poznan, Poland.

172. S. Ferdowsi, S. Sanei, J. Nottage, O. O’Daly and V. Abolghasemi, “A hybrid ICA-Hermite transform for removal of ballistocardiogram from EEG,” Proc. of the European Signal Processing Conference, EUSIPCO, Romania, 2012.

171. B. Havell, P. Rosin, S. Sanei, A. Aubrey, D. Marshall, and Y. Hicks, “A hybrid phoneme based clustering approach for audio driven facial animation”, Proc. of IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2012, Kyoto, Japan.

170. B. Makkiabadi and S. Sanei, “A new time domain convolutive BSS of heart and lung sounds,” Proc. of IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2012, Kyoto, Japan.

169. V. Abolghasemi, S. Ferdowsi, B. Makkiabadi, and S. Sanei, “Adaptive fusion of dictionary learning and multichannel BSS,” Proc. of IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2012, Kyoto, Japan.

168. P. Ahmadian, S. Sanei, L. Muss, L. Ascari, and A. Umilt, “Automatic detection of readiness potential,” Proc. of IASTED Int. Conference on Biomedical Engineering, 2011, Austria.

167. A. Amran and S. Sanei, “A spatial notch filtering approach for improving frequency domain complex BSS of audio signals,” Proceedings of the International Conference on Information, Communications and Signal Processing (ICICS), Dec. 2011, Singapore

166. B. Makkiabadi, D. Jarchi, and S. Sanei, “A new time domain approach for convolutive blind source separation,” Proc. of IEEE Asilomar Conference on Signals, Systems, and Computers, 2011, CA, USA.

165. S. Sanei, and T. K. M. Lee, “Detection of periodic signals using a new adaptive line enhancer based on singular spectrum analysis,” Proceedings of the International Conference on Information, Communications and Signal Processing (ICICS), Dec. 2011, Singapore.

164. S. Ferdowsi, V. Abolghasemi, and S. Sanei, “A new spatially constrained NMF with application to fMRI,” Proceedings of IEEE EMBC 2011, Boston, USA.

163. B. Makkiabadi, D. Jarchi, and S. Sanei, “Blind separation and localization of correlated P300 subcomponents from single trial recordings using extended PARAFAC2 tensor model,” Proceedings of IEEE EMBC 2011, Boston, USA.

162. B. Makkiabadi, D. Jarchi, V. Abolghasemi, and S. Sanei, “A time domain geometrically constrained multimodal approach for convolutive blind source separation,” Proceedings of EUSIPCO 2011 (19th European Signal Processing Conference 2011), Barcelona, Spain.

161. S. Ferdowsi, V. Abolghasemi, and S. Sanei, “A comparative study of a−divergence based NMF techniques for fMRI analysis,” Proceedings of EUSIPCO 2011 (19th European Signal Processing Conference 2011), Barcelona, Spain.

160. T. K. M. Lee, S. Sanei, and M. Belkhatir, “Comparing deterministic and stochastic properties of fronto-normal gait using delay vector variance,” Proceedings of EUSIPCO 2011 (19th European Signal Processing Conference 2011), Barcelona, Spain.

159. S. Sanei and A. Hosseini-Yazdi, “Separation of single channel EMG and ECG signals using constrained singular spectrum analysis,” Proceedings of the 17th Int. Conf on Digital Signal Processing (DSP), Corfu Greece, 2011.

158. D. Jarchi, B. Makkiabadi, and S. Sanei, “Instantaneous phase tracking of oscillatory signals using EMD and Rao-Blakwellised particle filtering,” Proc of IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP, Prague, 2011.

157. V. Abolghasemi, S. Ferdowsi, and S. Sanei, “Multichannel sparse source separation using K-SVD,” Proc. of the IEEE Workshop on Statistical Signal Processing (SSP), Nice, 2011.

156. B. Havell, D. Marshall, Y. Hicks, P. Rosin, S. Sanei, and A. Aubrey, “Comparison of techniques for Audio Driven Facial Animation,” Proc. of ACM/SSP Net Symposium on Facial Analysis and Animation, Edinburgh, UK, Oct. 2010.

155. S. Sanei, M. Ghodsi, and F. Ghaderi, “Signal separation, extraction, and restoration from single channel signals by SSA; applications to biomedical data”, Invited Keynote Talk, China-UK SSA workshop, School of Mathematics, Cardiff University, Sept. 2010, Cardiff, UK

154. F. Ghaderi, J. McWhirter, and S. Sanei, “Adaptive cancellation of heart sound from respiratory signals using Singular Spectrum Analysis,” Proc. of IEEE Int. Workshop on machine learning for signal processing (MLSP), Finland, 2010.  

153. S. Ferdowsi, S. Sanei, “A Constrained NMF Algorithm for BOLD detection in fMRI,”  Proc. of IEEE Int. Workshop on machine learning for signal processing (MLSP), Finland, 2010.

152. B. Makkiabadi, S. Sanei, and D. Marshal, “A k-dimensional subspace - based tensor factorization approach for underdetermined blind identification,” Proc. of the IEEE Asilomar conference on Signals, Systems, and Computers, ACSSC, 2010, CA, USA (INVITED PAPER).

151. F. Ghaderi and S. Sanei, “Removal of ballistocardiogram artifacts exploiting second order cyclostationarity,”  Proc. of IEEE Int. Workshop on machine learning for signal processing (MLSP), Finland, 2010.

150. V. Abolghasemi, B. Makkiabadi, and S. Sanei, “On optimization of the measurement matrix for compressive sensing,” Proc. of the17th European Signal Processing Conference, EUSIPCO, Denmark, 2010.

149. D. Jarchi and S. Sanei “A novel method for analysis of mental fatigue from normal brain rhythms”, Proc. of the17th European Signal Processing Conference, EUSIPCO, Denmark, 2010.

148. T. K. M. Lee, S. Sanei, and B. Clarke, “Fusion of Nonlinear Measures in Fronto-Normal Gait Recognition,” Proc. of the ICCGI 2010: The Fifth International Multi-Conference on Computing in the Global Information Technology Sept. 2010 - Valencia, Spain (BEST PAPER AWARD; http://www.iaria.org/ conferences2010/AwardsICCGI10.html)

147. F. Ghaderi, H. Mohseni, and S. Sanei, “A fast second order blind identification method for periodic sources,” Proc. of the17th European Signal Processing Conference, EUSIPCO , Denmark, 2010.

146. B. Makkiabadi and S. Sanei, “A new tensor factorization approach for convolutive blind source separation,” Proc. of the 17th European Signal Processing Conference, EUSIPCO , Denmark, 2010.

145. V. Abolghasemi, D. Jarchi, and S. Sanei, “A robust approach for optimization of the measurement matrix in compressive sensing,” Proc. of the 2nd International Workshop on Cognitive Information Processing (CIP), Elba, Italy, 2010.

144. D. Jarchi and S. Sanei, “Mental fatigue analysis by measuring synchronization of brain rhythms incorporating enhanced empirical mode decomposition.” Proc. of the 2nd International Workshop on Cognitive Information Processing (CIP), Elba, Italy, 2010.

143. F. Ghaderi, S. Sanei, and J. McWhirter, “Blind source extraction of cyclostationary sources with common cyclic frequencies” Proc. of IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP, USA, 2010.

142. H. R. Mohseni and S. Sanei, “A new beamforming-based MEG dipole source localization method,” Proc. of IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP, USA, 2010.

141. T. K. M. Lee, M. Belkhatir, and S. Sanei, “Compensating for the Effects of Full Occlusion in Fronto-Normal Gait” Proc. of the IEEE International Symposium on Multimedia, ISM, 2009, San Diego, CA, USA (19.8% acceptance rate).

140. D. Jarchi, S. Sanei, “Source localization of brain rhythms by empirical mode decomposition and spatial notch filtering”, Proc. of European Signal Processing Conference, EUSIPCO 2009, Edinburgh, UK.

139. B. Makkiabadi, A. Sarrafzadeh, D. Jarchi, V. Abolghasemi, and S. Sanei, “Semi-blind signal separation and channel estimation in MIMO communication systems by tensor factorization,” Proc. of IEEE Workshop on Statistical Signal processing, SSP2009, Cardiff, UK.

138. B. Makkiabadi, A. Sarrafzadeh, F. Ghaderi, and S. Sanei, “Semi-blind channel estimation in MIMO communication by tensor factorization,” Proc. of IEEE Workshop on Statistical Signal processing, SSP2009, Cardiff, UK.

137. B. Makkiabadi, D. Jarchi, and S. Sanei, “Simultaneous localization and separation of biomedical signals by tensor factorization,” Proc. of IEEE Workshop on Statistical Signal processing, SSP2009, Cardiff, UK.

136. S. Ferdowsi, V. Abolghasemi, A. Ahmadyfard, and S. Sanei, “An improved eye detection method based on statistical moments,” Proc. of IEEE Workshop on Statistical Signal processing, SSP2009, Cardiff, UK.

135.  H. R. Mohseni and S. Sanei, “A new method for spatiotemporal identification of event-related potential subcomponents,” INVITED PAPER, IEEE EMBC, Minnesota, USA, Sept. 2009.

134. D. Jarchi, B. Makkiabadi, and S. Sanei, “Estimation of trial to trial variability of P300 subcomponents By coupled Rao-Blackwellised particle filtering,” Proc. of IEEE Workshop on Statistical Signal processing, SSP2009, Cardiff. UK.

133. V. Abolghasemi, S. Sanei, and A. Belcher, “Segmented Compressive sensing,” Proc. of IEEE Workshop on Statistical Signal processing, SSP2009, Cardiff, UK (Top Accessed Articles May 2010, reported by IEEEXplore).

132. T. K. M. Lee, M. Belkhatir, and S. Sanei, “Reliable prediction of occluded body parts positions in fronto-normal gait,” Proc. of ICICS 2009, Macao.

131. F. Ghaderi, V. Abolghasemi, B. Makkiabadi, J. G. McWhirter and S. Sanei,, “Heart and lung sound separation using periodic source extraction method,” Proc. 16th Int. Conf. on Digital Signal Processing, DSP2009, Greece, 2009.

130. D. Jarchi, B. Makkiabadi, and S. Sanei, “Separating and tracking ERP subcomponents using constrained particle filter,” Proc. 16th Int. Conf. on Digital Signal Processing, DSP2009, Greece, 2009

129. A. Kosma, S. Sanei, and K. Nazarpour “Removal of ballistocardiogram artifact from electroencephalograms exploiting heart rate variability,” Proc. 16th Int. Conf. on Digital Signal Processing, DSP2009, Greece, 2009.

128. S. Sanei, A. H. Phan, J. –L. Lo, V. Abolghasemi, and A. Cichocki, “A compressive sensing approach for progressive transmission of images,” Proc. 16th Int. Conf. on Digital Signal Processing, DSP2009, Greece, 2009.

127. S. Sanei, M. Jing, C. Cheong-took, and K. Nazarpour, “Hybrid techniques for blind source separation,” Invited poster, Independent Component Analysis (ICA) Conference, Liverpool, UK, Sept. 2008.

126. F. Ghaderi and S. Sanei, “Blind source extraction of cyclo-stationary signals,” Proc. of IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP, Taiwan, 2009.

125. H. R. Mohseni, E. Wilding, and S. Sanei, “A hybrid particle filtering – beamforming approach for localization of ERP sources,” Proc. of IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP, Taiwan, 2009 (RECEIPIANT OF FIRST PAPER AWARD).

124. H. Mohseni, (E. Wilding, and S. Sanei), “Particle filtering for EEG signal processing,” (presentation) Bioengineering 08 Symposium, Imperial College, London, UK, 2008.

123. D. Jarchi, R. Boostani, M. Taheri, and S. Sanei, “Localization of seizure sources using a hybrid second order blind identification and a new clustering technique,” Proc. of the 9th International Conference on Signal Processing (ICSP’08) Beijing , China, 2008.

122. T. K. M. Lee, M. Belkhatir, P. A. Lee and S. Sanei, “Nonlinear Characterisation of Fronto-Normal Gait for Biometric use,” Proc. of Pacific-Rim Conference on Multimedia (PCM), Taiwan, 2008.

121. T. K. M. Lee, M Belkhatir, P. A. Lee, and S. Sanei, “Fronto-Normal Gait Incorporating Accurate Practical Looming Compensation,” Proc. 19th International Conf. on Pattern Recognition, ICPR, Florida, USA, 2008.

120. R. Latif, C. Shave, E. Carter, and S. Sanei, “Classification of temporomandibular disorder from electromyography signals via directed transfer functions,” Proc. 30th Int. Conf. of the IEEE Engineering in Medicine and Biology Society (EMBC), Vancouver, Canada, 2008.

119. F. Ghaderi and S. Sanei, “A unitary diagonalization approach for blind cyclostationary source separation,” Independent Component Analysis (ICA), Liverpool, UK, Sept. 2008. 

118. T. K. M. Lee, M. Belkhatir, P.A. Lee, and S. Sanei, “Fundamental temporal aspects of gait and its biometric applications,” Proc. IEEE International Workshop on Multimedia Signal Processing (MMSP), 2008, New Zealand.

117. K. Nazarpour, P. Praamstra, R. C. Miall, and S. Sanei, “Steady-state movement related brain potentials for BCI,” Proc. 30th Int. Conf. of the IEEE Engineering in Medicine and Biology Society (EMBC), 2008, Vancouver, Canada, 2008.

116. K. Nazarpour, P. Praamstra, R. C. Miall, and S. Sanei, “Steady-state movement related potentials for BCI; An exploratory approach in the STF domain,” Proc. of BCI 2008 Workshop, Graz, Austria, Sept. 17-21, 2008.

115. H. R. Mohseni, E. Wilding, and S. Sanei, “Sequential Monte Carlo Techniques for EEG dipole placing and tracking,” Proc. of IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM) 2008, Darmstadt, Germany.

114. S. M. Naqvi, Y. Zhang, S. Sanei, and J. A. Chambers, “Evaluation of emerging frequency domain convolutive blind source separation algorithms based on real room recordings, “Proc. of IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM) 2008, Darmstadt, Germany.

113. J-L Lo and S. Sanei, “An adaptive channel coding technique for progressive transmission of images,” Proc. of IEEE Int. Conference on Computer and Communication Engineering, ICCCE, 2008, Malaysia.

112. H. R. Mohseni, E. Wilding, and S. Sanei, “single trial estimation of event-related potentials using particle filtering, Proc Proc. of IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2008, Las Vegas, USA.

111. M. Jing, S. Sanei, and K. Hamandi, “A novel ICA approach for separation of seizure BOLD from fMRI, constrained by the simultaneously recorded EEG signals,” Proc. European Signal Processing Conference, EUSIPCO 2008, Switzerland.

110. T. Tsalaile, S. M. Naqvi, K. Nazarpour, S. Sanei and J.A. Chambers, “Blind source extraction of heart sound signals from lung sound recordings exploiting periodicity of the heart sound,” Proc. of IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP, 2008, Las Vegas, USA.

109. S. M. Naqvi, J. A. Chambers, and S. Sanei, “A multimodal approach for frequency domain independent component analysis with geometrically-based initialization,” Proc. European Signal Processing Conference, EUSIPCO 2008, Switzerland.

108. R. Latif, S. Sanei, and K. Nazarpour, “Classification of elbow electromyography signals based on directed transfer function,” Proc. of International Conference on Biomedical Engineering and Informatics, BMEI2008, Sanya, China.

107. C. Cheong Took and S. Sanei, “Variable tap length convolutive blind source separation,” (INVITED PAPER) Proc. IEEE 41st Asilomar conference on Signals Systems and Computers, ACSSAC, Nov. 2007.

106. M. Ghodsi, H. Hassani, S. Sanei, and Y. Hicks, “Singular spectrum analysis approach for detection of temporomandibular disorder,” Proc. ISI, Lisbon, Portugal, 2007.

105. T. K. M. Lee, K. F. Loe, and S. Sanei, “A comparison of the basic temporal features of fronto-normal and fronto-parallel gait,” Proc. 15th Int. Conf. In Digital Signal Processing, DSP2007, Cardiff, UK, July 2007.

104. M. Ghodsi, H. Hassani. S. Sanei, and Y. Hicks, “A new approach in detection of temporomandibular disorder using singular spectrum analysis,” Proc. IEEE ICSPC07, Dubai, November, 2007.

103. H. R. Mohseni and S. Sanei, “Detection of epileptic discharges in infants via a recurrent learning algorithm,” Proc. of IEEE Machine Learning for Signal Processing Workshop (MLSP), Greece, 2007.

102. J.-L. Lo, K. Nazarpour, and S. Sanei, “Interactive and adaptive progressive transmission of medical images,” Proc. Int. Conf. of the IEEE Engineering in Medicine and Biology Society (EMBC), Lyon, France, 2007.

101. K. Nazarpour, Y. Wongsawat, S. Sanei, and S. Oraintara, “A robust minimum variance beamforming approach for the removal of eye-blink artifact from EEGs,” Proc. IEEE 29th Annual International EMBC pp. 22-26 Aug. 2007 pp.6211 – 6214, 2007

100. K. Nazarpour, S. Ebadi, and S. Sanei, “Fetal Electrocardiogram Signal Modelling Using Genetic Algorithm,” Proc. of IEEE International Workshop on Medical Measurement and Applications, MeMeA, Poland, May 2007.

99. H. R. Mohseni, S. Sanei, and E. Wilding, “Processing of event-related potential signals via Kalman filtering and smoothing,” Proc. IEEE 15th Int. Conf. on Digital Signal Processing, DSP2007.

98. M. Ghodsi, S. Sanei, and Y. Hicks, “Detection of temporomandibular disorder from facial pattern.” Proc. 15th Int. Conf. on Digital Signal Processing, DSP2007, UK.

97. K. Nazarpour, S. Sanei, and J. Chambers, “A novel constrained blind signal extraction approach for removal of eye-blink artifact from EEGs incorporating PARAFAC,” Proc. 15th Int. Conf. on Digital Signal Processing, DSP2007, UK.

96. D. Jarchi, M. Boostani, and S. Sanei, “Seizure source selection via a hybrid second order blind identification and Gap statistics,” Proc. 15th Int. Conf. on Digital Signal Processing, DSP2007.

95. T. K. M. Lee and S. Sanei, “Chaotic Characterization of frontal normal gait for human identification,” Proc. European Signal Processing Conference, EUSIPCO, 2007.

94. M. Ghodsi, S. Sanei, Y. Hicks, T. K. M. Lee, and S. Dunne, “A facial pattern recognition approach for detection of temporomandibular disorders,” Proc. European Signal Processing Conference, EUSIPCO 2007.

93. L. Spyrou and S. Sanei, “A new beamforming approach for localization of event related potentials,” Proc. European Signal Processing Conference, EUSIPCO 2007.

92. M. Jing and S. Sanei, “Epileptic seizure separation using constrained topographic blind source separation,” Proc. European Signal Processing Conference, EUSIPCO 2007.

91. T. Tsalaile and S. Sanei, “Separation of heart sound signal from lung sound signal by adaptive line enhancement,” Proc. European Signal Processing Conference, EUSIPCO 2007.

90. L. Spyrou and S. Sanei, “Estimation and location tracking of the P300 subcomponents from single-trial EEG signals,” Proc. of IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2007, USA.

89. K. Nazarpour, L. Shoker, and S. Sanei, “Brain computer interfacing in space-time-frequency domain”, Proc. of 3rd Int. Brain-Computer Interface Workshop, pp.34-35, Graz, Austria, Sept. 2006 (Best Paper Award).

88. S. Sanei, S. M. Naqvi, J. Chambers, and Y. Hicks, “A geometrically constrained multimodal approach for convolutive blind source separation,” Proc. of IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP, 2007, USA.

87. A. Aubrey, Y. Hicks, S. Sanei, and J. Chambers, “Study of video assisted BSS for convolutive mixtures,” IEEE 12th Digital Signal Processing Workshop, Wyoming, USA, Sept. 2006.

86. K. Sidorov, Y. Hicks, D. Marshal, S. Sanei, and J. Chambers, “Real time multi camera 3D tracking system,” Proc. IET, CVMP, London, 2006 (Invited Paper).

85. W. Wang, Y. Luo, J. Chambers, and S. Sanei, “Non-negative matrix factorization for note onset detection of audio signals,” Proc. of IEEE Machine Learning for Signal Processing Workshop (MLSP), Ireland, 2006.

84. C. Cheong Took, K. Nazarpour, S. Sanei, J. Chambers, “Blind separation of temporomandibular joint sounds by incorporating fractional delay estimation,” Proc. of IEE IMA 2006, Dec. 2006, Cironcester, UK.

83. J-L Lo and S. Sanei, “A New Interactive Source-Channel Compression System for Progressive Transmission of Medical Images,” Proc. of WC2006, Seol, South Korea.

82. M. Jing and S. Sanei, “Simultaneous EEG-fMRI study; A Blind Approach for Mitigation of Scanner Artifact in the EEGs,” Proc. of WC2006, Seol, South Korea

81. L. Spyrou and S. Sanei, A Novel Approach for the Estimation of P300 Subcomponents in Single-Trial EEG" Proc. of the 5th European Symposium on Biomedical Engineering (ESBME), Patras, Greece, July 2006.

80. K. Nazarpour, S. Sanei, and J. A. Chambers, “Blind separation of foetal electrocardiogram signals using time-frequency distributions,” Proc. of IMIBE'06, Amman, Jordan, Mar. 20-22, 2006.

79. K. Nazarpour, S. Sanei, L. Shoker, and J. Chambers, “Parallel space-time-frequency decomposition of EEG signals for brain computer interfacing,” Proc. of European Signal Processing Conference, EUSIPCO 2006, Florence, Italy, 2006.

78. C. Cheong Took, S. Sanei, J. Chambers, and S. Dunne, “A geometrically constrained anechoic model for blind separation of temporomandibular joint sounds,” Proc. of European Signal Processing Conference, EUSIPCO 2006, Toulouse, France.

77. L. Shoker, S. Sanei, K. Nazarpour, and A. Sumich, “A novel space-time-frequency masking approach for quantification of EEG source propagation, with application to brain computer interfacing,” Proc. of European Signal Processing Conference, EUSIPCO 2006, Toulouse, France.

76. R. Hosseini-Yazdi and S. Sanei, “Pattern analysis of neonatal data using topography of the spectral sequences” Proc. of World Congress in medical physics and biomedical engineering, Seol, S. Korea, 2006

75. R. Hosseini-Yazdi and S. Sanei, “Cardiorespiratory component analysis based on Covariance Lattice method - a qualitative comparison of spectral estimation techniques,” Proc. of World Congress in medical physics and biomedical engineering, Seol, S. Korea, 2006.

74. T. K. M. Lee, S. Ranganath, and S. Sanei, “Fusion of chaotic measure into a new hybrid face-gate system for human recognition, Proc. IEEE 18th International Conf. on Pattern Recognition ICPR2006, pp. 541-544, Hong Kong, August 2006.

73. M. Jing, S. Sanei, “Scanner artefact removal in simultaneous EEG-fMRI for epileptic seizure prediction,” Proc. 18th International Conf. on Pattern Recognition ICPR2006, pp. 772-725, Hong Kong, August 2006.

72. T. K. M. Lee, S. Ranganath, and S. Sanei, “Frontal view-based gate identification incorporating the largest Lyaponuv exponents”, Proc. of IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP, vol. 2, pp. II-173-II-176, 2006.

71. A. Aubrey, J. Chambers, Y. Hicks, S. Sanei, and D. Marshal, “'Video Assisted Speech Source Separation,” ICA meeting, London, UK, Sept. 2005.

70. L. Spyrou and S. Sanei, “A robust constrained method for extraction of P300 subcomponents,” Proc. of IEEE ICASSP, vol. 2, pp. II-1184-II-1187, 2006

69. C. Cheong, S. Sanei, and J. Chambers, “A filtering approach to underdetermined BSS with application to temporomandibular disorders,” Proc. of IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP, vol. 3, pp. III-1124-1127, 2006.

68. C. Cheong, S. Sanei, and S. Dunne, “A computationally efficient classification of temporomandibular joint sounds, Proc. of International Conference on Medical Physics and Biomedical Engineering, ICMBE 2005, Singapore.

67. M. A. Latif, S. Sanei, and J. Chambers “Localization of abnormal brain sources incorporating constrained BSS,” Proc. of Artificial Neural Networks: Formal Models and Their Applications - ICANN, pp. 703-708, Poland, 2005.

66. M. A. Latif and S. Sanei, “Localization of brain abnormal signal sources using blind source separation”, Proc. IEEE, EMBS, pp. 1170-1173, Shanghai, China, Sept 2005.

65. L. Shoker, S. Sanei, A. Sumich, “Distinguishing between left and right finger movement from EEG using SVM,” Proc. IEEE, EMBS, pp. 5420-5423, Shanghai, China, Sept 2005.

64. M. Jing, S. Sanei, J. Corsini, and G. Alarcon, “Incorporating BSS to epileptic seizure predictability measure from scalp EEG,” Proc. IEEE, EMBS, pp. 5920-5953, Shanghai, China, Sept 2005.

63. L. Shoker, S. Sanei, and J. Chambers, “A hybrid algorithm for the removal of eye blinking artifacts from electroencephalograms,” Proc. of IEEE Statistical Signal Processing Workshop, SSP2005, pp. 1014-1017, Bourdoux, France, February 2005.

62. S. Sanei and S. Constantinides, “Incorporating frequency warping into sparse component analysis,” Proc. of European Signal Processing Conference, EUSIPCO 2005, Turkey.

61. S. Sanei and L. Shoker, “Artefact removal from EEGCs using a hybrid BSS-SVM algorithm,” INVITED TALK, IEE Biomedical Signal Processing Workshop, London, Dec. 1, 2004.

60. W. Wang, D. Cosker, Y. Hicks, S. Sanei, and J. A. Chambers, 'Video Assisted Speech Source Separation', Proc. of IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2005, Pennsylvania, USA, March 19-23, 2005.

59. L. Spyrou, S. Sanei, and A. Sumich, “Separation and localization of auditory and visual p300 sources in schizophrenia patients via constrained BSS,” Proc. Proc. of IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2005, vol. 5, pp. v/613-v/616, Philadelphia, USA.

58. W. Wang, J. Chambers, and S. Sanei, “Subband decomposition for blind speech separation using a cochlear filterbank,”, Proceedings of IMA, IEE Conference in Mathematics in Signal Processing, Dec. 2004.

57. L. Shoker, S. Sanei, and M.A. Latif, “Removal of eye blinking artifact from EEG incorporating a new constrained BSS algorithm,” IEEE EMBC, vol. 2, pp. 909-912. 2004.

56. W. Wang, J. A. Chambers, and S. Sanei, “Has the permutation problem been solved in frequency-domain blind source separation?” INVITED TALK, IEE Workshop on ICA, London, December 2003.

55. C. Chapman, S. Sanei, R. Dilmaghani, and F. Said, “Progressive Transmission of Medical Images Using Embedded Zerotree Wavelets,” Proc. IEEE, BioCAS, pp. S3/3-9-12, Singapore, 2004.

54. M. Jing, S. Sanei, and A. Sumich, “An Automatic Detection and Localization of P300 Sub-Components Using ICA,” Proc. IEEE, BioCAS, pp. S3/6-S1-4, Singapore, 2004.

53. S. Sanei, L. Spyrou, “Separation and Localization of P300 sources in schizophrenia patients incorporating constrained blind source separation,” Proc. IEEE, BioCAS, Singapore, pp. S3/6-S5-6, August 2004.

52. M. A. Latif, S. Sanei, and L. Shoker, “An Iterative ICA-based algorithm for EEG source localization”, Presented at MEDSIP 2004, Malta.

51. W. Wang, J. Chambers, and S. Sanei, “Penalty function approach for constrained convolutive blind source separation,” Proc. of the 5th Conf. in Independent Component Analysis (ICA2004), Granada, Spain.

50. S. Sanei, L. Spyrou, “Localization of P300 sources in schizophrenia patients incorporating constrained blind source separation,” Proc. of the 5th Conf. in Independent Component Analysis (ICA2004), Granada, Spain, pp. 177-184, 2004.

49. W. Wang, J. Chambers, and S. Sanei, “A novel hybrid approach to permutation problem of frequency domain blind source separation,” Proc. of the 5th Conf. in Independent Component Analysis (ICA2004), Granada, Spain.

48. W. Wang, J, Chambers and S. Sanei, “Penalty function based joint diagonalization approach for convolutive constrained BSS of nonstationary signals,” Proc. of European Signal Processing Conference, EUSIPCO 2004, Austria.

47. L. Shoker and S. Sanei, “A new constrained BSS algorithm for separation of EEG signals with eye-blinking artifact”, Proc. of IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM), digital identifier: 10.1109/SAM.2004. 1502932, Barcelona, Spain, 2004

46. S. Sanei, M.A. Latif, and L. Shoker, “Detection and localization of epileptic seizures using ICA,” Proc. of IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM), digital identifier: 10.1109/SAM.2004. 1502931, Barcelona, Spain, 2004

45. S. Sanei and T. K. M. Lee “A semi-supervised support vector machine for texture segmentation”, Proc. of IEEE ICIP 2004, vol. 1, pp. 223-226, Singapore.

44. S. Sanei, W. Wang, and J. Chambers, “A coupled HMM for solving the permutation problem in frequency domain BSS,” Proc. of IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP, 2004, pp. V-565-568, Canada.

43. M. A. Latif and S. Sanei, “An Iterative BSS Algorithm for an Efficient Separation of EEG and Localization of the Sources”, Invited Talk, IEE meeting in Signal Processing Applications in Clinical Neurophysiology, Feb. 2004, York, UK.

42. T. K. M. Lee, S. Ranganath, and S. Sanei, “Patterns in paces: a survey of current approaches in gait recognition”, Proc. of Asian Biometric Workshop (ABW 2003), pp. 421-425, Nov. 2003, Singapore.

41. W. Wang, S. Sanei, and J. Chambers, “Hybrid scheme for convolutive BSS and beamforming for speech signal separation using psychoacoustic filtering” Proc. IEEE ICCSE December 2003, China.

40. B. Gonzalez and S. Sanei, and J. Chambers, “Support vector machines for seizure detection”, Proc. of IEEE, ISSPIT2003, pp. 126-129, December 2003, Germany.

39. S. Sanei, J. Minto, K. Khawaja, “A PCA-SVM method for classification of ECG signals”, Proceedings of the World Congress in Medical physics and Biomedical Engineering (WC2003), Sydney, August 2003,

38. B. Gonzalez, S. Sanei, “Detection of tonic-clonic seizures using support vector machines”, Proceedings of the World Congress in Medical physics and Biomedical Engineering (WC2003), Sydney, August 2003,

37. S. Sanei, “Texture segmentation using semi-supervised support vector machine”, Proc. of 7th Int. Conference on Knowledge-Based Intelligent Information & Eng. Systems (KES2003), Part I, pp. 1357-1363, 2003, Oxford, UK.

36. W. Wang, M. G. Jafari, S. Sanei, J. A. Chambers, “Blind separation of convolutive mixtures of cyclostationary sources using an extended natural gradient” Proc. of ISSPA 2003, vol. 2, pp. II-93-96, France. 

35. S. Sanei and T. K. M. Lee, “Cell recognition based on PCA and Bayesian classification”, Proc. Of ICA2003, pp. 239-242, Japan. 

34. W. Wang, J. A. Chambers, and S. Sanei, “A joint diagonalization method for convolutive blind source separation of nonstationary sources in the frequency domain”, Proc. of ICA2003, pp. 939-942, Japan. 

33. V. L. Choo, S. Sanei, and S. H. Ong, “Graph theoretical approach in 3D MRI segmentation,” Proc. International Congress on Biological and Medical Engineering (ICBME), Dec. 2002, Singapore. 

32. S. K. Goy, S. Sanei, S. H. Ong, “Robust morphological cell analysis via eigencell classification”, Proc. of International Congress on biological and medical engineering (ICBME), Dec. 2002, Singapore. 

31. S. Sanei, J. Chambers, “EEG Neuro-image reconstruction based on conditional chaos measurement”, Invited Talk, IEE, MASP seminar in Medical Applications of Signal Processing, London, UK, pp. 18/1-5, Oct. 2002. 

30. S. Sanei and T. K. M. Lee, “Bayesian classification of eigencells”, Proc. IEEE, ICIP, Rochester, USA 2002, pp. II-929-932.

29. M.A. Oghabian, S. Sanei, “Edge-based registration of medical images using multi-scale wavelet transform”, Proc. of BioMed2002, Malaysia, 2002, pp. 6-8.

28. S. Sanei and A. Tan, “Neuro-image reconstruction based on Bayesian chaos evaluation”, Proc. IASTED, SPPRA, Greece, pp. June 2002. 

27. T. K. M. Lee and S. Sanei, “An analytical overview of new trends in face recognition”, Proc. IASTED, SPPRA, Greece, June 2002. 

26. S. Sanei and N. Ahmed, “Functional neuro-image reconstruction using higher order chaos”, Proc. Of BioMed2002, Malaysia, pp206-210. 

25. S. Sanei and T. K. M. Lee, “A new scanner array architecture for 3D ultrasound bone imaging, Proc. of BioMed2002, Malaysia, pp. 99-102. 

24. S. Sanei and T. K. M. Lee, “An architecture for high speed ultrasound image capture and real time 3D reconstruction”, Proc. of IEEE Conf. In Electronic Design, Test, and Applications (DELTA), pp. 326-330, New Zealand, January 2002. 

23. S. Sanei, M. Azron and S.H. Ong, “A fast hybrid SST-Watershed segmentation of images”, Proc. IASTED conf. on VIIP, pp. 444-449, Spain, 2001. 

22. S. Sanei, “A novel HOS-based texture segmentation method”, Proceeding of IASTED conf. on VIIP, pp. 440-443, Spain, 2001. 

21. S. Sanei, R. Leyman, “EEG Brain Map Reconstruction Using Blind Source Separation”, Proceedings of the 11th IEEE Workshop on Statistical Signal Processing (SSP2001), pp. 233-236. Aug. 2001. 

20. S. Sanei, J. Li and S.H. Ong, “Texture segmentation by clustering the phase of HOS cepstra”, Proc. of the 11th IEEE Workshop on Statistical Signal Processing (SSP2001), Aug. 2001, pp. 476-479. 

19. S. Sanei, M.Azron, and S.H. Ong, “Detection of bone disease by hybrid SST-watershed X-ray image segmentation”, SPIE’s Int. conf. on Med. Imaging 2001, San Diego, USA.

18. S. Sanei, “Incorporation of blind source separation in EEG brain map reconstruction”, 10th international conf. on Biomed. Eng.  pp139-140, Dec. 2000, Singapore. 

17. M. K. Solaiappan, S. Sanei, S.H. Ong, “Application of CL-NN to blood cell morphology”, 10th international Conf. On biomed. Eng., p. 630, Dec 2000, Singapore.

16. S. Sanei and R. Leyman, “EEG neuro-image reconstruction by incorporating time-frequency based blind source separation”, proc. World Congress in Biomed Phys. And Biomed. Eng., pp. 456-459, Chicago, USA, 2000.

15. S. Sanei and T. K. M. Lee, “Feature detection in Radon domain; an adaptive FL approach”, IEEE, MICC & ISCE99, pp242-5, Malaysia, 1999.

14. S. Sanei and R. Venkatalachan, “Fuzzy discrimination of MCC and fat in breast transmissive ultrasound CT images,” Proc. of 2nd Int. Conf. in Biomedical Engineering Days, pp. 91-93, May 1998. 

13. S. Sanei and R. Venkatalachan, “Characterization of fat and malignancy in transmissive ultrasound breast tomographs applying fuzzy logic”, IEEE-EMBS’98, 1998, Hong Kong, vol. 3, pp. 1367-1370, 1998. 

12. S. Sanei, P. Sanaei and M. Zahabsaniei, “Fuzzy detection of craniofacial landmarks”, Sixth Int. Conf. IEEE-IPA97, vol. 1, pp. 376-379, 1997, Dublin, Ireland. 

11. S. Sanei, “Neuro-Fuzzy analysis of blood pattern”, Proc. ICEE, 447-450, Tehran, Iran, 1996. 

10. S. Sanei, “Application of ANN in blood morphological analysis”, Proc. IASTED, Colombo, Seri Lanka, pp. 32-35, Aug.1995. 

9. S. Sanei, “Construction of brain maps using electroencephalograms,” Proc. of Int. Conf. in Elec. Eng., Vol. 2, pp 611-614, Tehran, Iran, 1994. 

8. S. Sanei, “Detection of diagnostic features in medical images”, IEEE Workshop on Applied Signal Processing, Melbourne, pp. 211-214, Australia, 1993.

7. S. Sanei, “Compression of 2D slices of biomedical 3D images applying segmentation, block matching and vector quantization,” 2nd Far East Conf. on Med. and Biolog. Eng., FECMBE, Aug. 1993, Beijing, China.

6. S. Sanei, “Detection and preservation of diagnostic details in encoding of medical images”, 2nd Far East Conf. on Med. and Biolog. Eng., FECMBE, Aug. 1993, Beijing, China.

5. S. Sanei, R. Benjamin and R.I. Kitney, “Adapting transform coding to biomedical images with classified textures”, Proc. of Int. Conf. on Information Sciences, Signal Processing and their Applications (ISSPA), pp. 102-105. Aug. 1992, Gold Coast, Australia.

4. S. Sanei, R. Benjamin and R.I. Kitney, “Adapting transform coding to texturally segmented images”, Proc. IEEE Asilomar Conf. on Computers Signals and Circuits, ACCSC, pp1205-1209, Nov.1991, CA, USA.

3. S. Sanei and R. I. Kitney, “Ultrasound image sequence coding via motion estimation applying modified variable size block decomposition”, Proc. 16th world congress in biophysics and biomedical engineering, July 1991, Kyoto, Japan.

2. S. Sanei, R. Benjamin, R.I. Kitney, “Advanced adaptive transform coding of biomedical x-ray images”, Proc. 16th world congress in biophysics and biomedical engineering, July 1991, Kyoto, Japan.

1. S. Sanei and R. I. Kitney, “Modified variable size adaptive transform coding of images”, IEEE Asilomar Conf. on Computers Signals and Circuits, ACCSC, Nov.1990, CA, USA, pp. 202-205.