Ashkan Yazdani

[email protected]

Biography

Ashkan Yazdani was born in Tehran, Iran, On April 3th, 1982. In July 2007, he received his M.sc. in Electrical Engineering (bioelectric) from the University of Tehran, Iran. His M.sc. Thesis focused on Electroencephalogram signal processing, Pattern recognition, fuzzy logic and biological computation. From September 2006 to October 2007, he worked as research assistant in Brain signal processing group in University of Tehran, where he worked on person identification using EEG signal processing, Brain Computer interfacing and also fMRI signal processing. 

In December 2007, he joined the Multimedia Signal Processing Group (MMSPG) at EPFL as a research assistant in Prof. Ebrahimi’s group, working towards his PhD in the area of brain-computer interfacing. During his PhD, he was involved in various research projects and European networks of excellence (NoE) and he was representing MMSPG in several european projects. He was selected as the coordinator of one of the main IRPs in Petamedia NOE and he represented this NOE in several European exhibitions such as NEM summit and ICT. Among his other research activities, there is a one year collaboration project with European Space Agency (ESA) on curiosity cloning project and active involvement in VISNET 2 and Qualinet NOEs, where he worked on human face detection and Quality of Experience (QoE) in multimedia.

 

His research interests include but are not limited to multimedia/biomedical signal and image processing, brain computer interfacing, emotion and affect recognition, social networks, Cognitive neuroscience, subjective test design, QOE assessment, pattern recognition, fuzzy logic, neural networks and blind source separation.

 

Main Publications

Evaluation and optimization of novel extraction algorithms for the automatic detection of atrial activations recorded within the pulmonary veins during atrial fibrillation

Y. Prudat; A. Luca; S. Yazdani; N. Derval; P. Jais et al. 

Bmc Medical Informatics And Decision Making. 2022-08-28. Vol. 22, num. 1, p. 225. DOI : 10.1186/s12911-022-01969-5.

RMSSD Is More Sensitive to Artifacts Than Frequency-Domain Parameters: Implication in Athletes? Monitoring

N. Bourdillon; S. Yazdani; J-M. Vesin; L. Schmitt; G. P. Millet 

Journal Of Sports Science And Medicine. 2022-05-03. DOI : 10.52082/jssm.2022.260.

AltitudeOmics: Spontaneous Baroreflex Sensitivity During Acclimatization to 5,260 m: A Comparison of Methods

N. Bourdillon; S. Yazdani; J-M. Vesin; A. W. Subudhi; A. T. Lovering et al. 

Frontiers In Physiology. 2019-12-10. Vol. 10, p. 1505. DOI : 10.3389/fphys.2019.01505.

REWARD: Design, Optimization, and Evaluation of a Real-Time Relative-Energy Wearable R-Peak Detection Algorithm *

L. Orlandic; E. De Giovanni; A. Arza; S. Yazdani; J-M. Vesin et al. 

2019-10-07. 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Berlin, Germany, July 23-27, 2019. p. 3341-3347. DOI : 10.1109/EMBC.2019.8857226.

Analysis of U-Shape Patterns in RR-Interval Time Series During Sleep

S. Yazdani; A. Cherqui; N. Bourdillon; G. Millet; J-M. Vesin 

2018-01-01. 45th Computing in Cardiology Conference (CinC), Maastricht, NETHERLANDS, Sep 23-26, 2018. DOI : 10.22489/CinC.2018.021.

Novel Low Complexity Biomedical Signal Processing Techniques for Online Applications

S. Yazdani / J-M. Vesin (Dir.)  

Lausanne, EPFL, 2018. 

Overload blunts baroreflex only in overreached athletes

N. Bourdillon; S. Yazdani; M. Nilchian; A. Mariano; J-M. Vesin et al. 

Journal of Science and Medicine in Sport. 2018. Vol. 21, num. 9, p. 941-949. DOI : 10.1016/j.jsams.2018.01.008.

Concealed abnormal atrial phenotype in patients with Brugada syndrome and no history of atrial fibrillation

G. Conte; M. L. Caputo; P. Volders; A. Luca; L. Mainardi et al. 

International Journal of Cardiology. 2018. Vol. 253, p. 66-70. DOI : 10.1016/j.ijcard.2017.09.214.

A Novel Short-term Event Extraction Algorithm for Biomedical Signals

S. Yazdani; S. Fallet; J-M. Vesin 

IEEE Transactions on Biomedical Engineering Bme. 2018. Vol. 65, num. 4, p. 754-762. DOI : 10.1109/TBME.2017.2718179.

Experimental study of atrial fibrillation cycle length during rapid atrial septal pacing

A. Luca; S. Yazdani; J-M. Vesin; N. Virag 

2017. Computing in Cardiology, Rennes, France, September 24-27, 2017. DOI : 10.22489/CinC.2017.338-103.

Heart Rhythm Classification using Short-term ECG Atrial and Ventricular Activity Analysis

S. Yazdani; P. Laub; A. Luca; J-M. Vesin 

2017. Computing in Cardiology 2017, Rennes, France, September 24-27, 2017. DOI : 10.22489/CinC.2017.067-120.

Minimal Window Duration for Accurate HRV Recording in Athletes

N. Bourdillon; L. Shmidtt; S. Yazdani; J-M. Vesin; G. Millet 

Frontiers in Neuroscience. 2017. Vol. 11, p. 456. DOI : 10.3389/fnins.2017.00456.

A Non-linear Filter to Detect Atrial Activation from Intracardiac Electrograms

S. Yazdani; A. Buttu; E. Pruvot; J-M. Vesin; P. Pascale 

2017. European Medical and Biological Engineering Conference, Tampere, Finland,

A Novel Measure of Instantaneous Baroreflex Sensitivity

S. Yazdani; J-M. Vesin; M. Petrovic 

2017. European Medical and Biological Engineering Conference EMBEC-NBC2017, Tampere, Finland,

A Patient-Specific Methodology for Prediction of Paroxysmal Atrial Fibrillation Onset

E. De Giovanni; A. Aminifar; A. Luca; S. Yazdani; J-M. Vesin et al. 

2017. Computing in Cardiology, Rennes, France, September 24-27, 2017. DOI : 10.22489/CinC.2017.285-191.

Usefulness of P-Wave Duration and Morphologic Variability to Identify Patients Prone to Paroxysmal Atrial Fibrillation

G. Conte; A. Luca; S. Yazdani; M. L. Caputo; F. Regoli et al. 

The American Journal of Cardiology. 2017. Vol. 119, num. 2, p. 275-279. DOI : 10.1016/j.amjcard.2016.09.043.

Extraction and Analysis of Short-Time Excursions in RR-interval Time Series

J-M. Vesin; S. Yazdani; L. Mirmohamadsadeghi; N. Bourdillon 

2016. Computing in Cardiology 2016, Vancouver, British Columbia, Canada, September 11-14, 2016. p. 721-724.

Effect of Hypoxia and Hyperoxia on Baroreflex Sensitivity at Sea Level and Altitude

S. Yazdani; N. Bourdillon; J-M. Vesin 

2016. Computing in Cardiology 2016, Vancouver, British Columbia, Canada, September 11-14, 2016. p. 533-536.

A Novel Preprocessing Tool to Enhance ECG R-wave Extraction

S. Yazdani; J-M. Vesin 

2016. Computing in Cardiology 2016, Vancouver, British Columbia, Canada, September 11-14, 2016. p. 633-636.

Identification of Abnormal Heart Sounds

S. Yazdani; S. Schlatter; S. A. Atyabi; J-M. Vesin 

2016. Computing in Cardiology 2016, Vancouver, British Colombia, Canada, September 11-14, 2016. p. 1157-1160.

ECG-derived Markers to Identify Patients Prone to Atrial Fibrillation

A. Luca; S. Yazdani; J-M. Vesin; G. Conte; A. Auricchio 

2016. Computing in Cardiology, Vancouver, Canada, 11-14 September, 2016.

Using Cardio-Respiratory Signals to Recognize Emotions Elicited by Watching Music Video Clips

L. Mirmohamadsadeghi; A. Yazdani; J-M. Vesin 

2016. 2016 IEEE Workshop on Multimedia Signal Processing (MMSP 2016), Montréal, Canada, September 21-23, 2016. DOI : 10.1109/MMSP.2016.7813349.

Extraction of QRS fiducial points from the ECG using adaptive mathematical morphology

S. Yazdani; J-M. Vesin 

Digital Signal Processing. 2016. Vol. 56, p. 100-109. DOI : 10.1016/j.dsp.2016.06.010.

False arrhythmia alarms reduction in the intensive care unit: a multimodal approach

S. Fallet; S. Yazdani; J-M. Vesin 

Physiological Measurement. 2016. Vol. 37, p. 1217-1232. DOI : 10.1088/0967-3334/37/8/1217.

Extracting Atrial Activations from Intracardiac Signals during Atrial Fibrillation using Adaptive Mathematical Morphology

S. Yazdani; A. Buttu; E. Pruvot; J-M. Vesin; P. Pascale 

2015. Computing in Cardiology, Nice, France, September 6-10. p. 913-916. DOI : 10.1109/CIC.2015.7411060.

A Multimodal Approach to Reduce False Arrhythmia Alarms in the Intensive Care Unit

S. Fallet; S. Yazdani; J-M. Vesin 

2015. Computing in Cardiology, Nice, France, September 6-9, 2015. p. 277-280. DOI : 10.1109/CIC.2015.7408640.

EEG Correlates of Pleasant and Unpleasant Odor Perception

E. Kroupi; A. Yazdani; J-M. Vesin; T. Ebrahimi 

ACM Transactions on Multimedia Computing, Communications and Applications. 2014. Vol. 11, num. 15, p. 13. DOI : 10.1145/2637287.

Adaptive Mathematical Morphology for QRS Fiducial Points Detection in the ECG

S. Yazdani; J-M. Vesin 

2014. Computing in Cardiology 2014, Boston, Massachusetts, USA, September 7-10, 2014. p. 725-728.

Multimedia content analysis for emotional characterization of music video clips

A. Yazdani; E. Skodras; N. Fakotakis; T. Ebrahimi 

The EURASIP Journal on Image and Video Processing. 2013. num. 1, p. 1-10. DOI : 10.1186/1687-5281-2013-26.

Brain-Computer Interface in Multimedia Systems

A. Yazdani / T. Ebrahimi; J-M. Vesin (Dir.)  

Lausanne, EPFL, 2012. 

Electroencephalogram Alterations During Perception of Pleasant and Unpleasant Odors

A. Yazdani; E. Kroupi; J-M. Vesin; T. Ebrahimi 

2012. 4th International Workshop on Quality of Multimedia Experience (Qomex), Yarra Valley, July 5-7,2012. p. 272-277. DOI : 10.1109/QoMEX.2012.6263860.

Multivariate Spectral Analysis for Identifying the Brain Activations During Olfactory Perception

E. Kroupi; A. Yazdani; J-M. Vesin; T. Ebrahimi 

2012. 34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), San Diego, California, USA, August 28 – September 1, 2012. p. 6172-6175. DOI : 10.1109/EMBC.2012.6347403.

Affect Recognition Based on Physiological Changes During the Watching of Music Video

A. Yazdani; J. S. Lee; J-M. Vesin; T. Ebrahimi 

ACM Transactions on Interactive Intelligent Systems. 2012. Vol. 2, num. 1, p. 1-26. DOI : 10.1145/2133366.2133373.

DEAP: a database for emotion analysis using physiological signals

S. Koelstra; C. Muehl; M. Soleymani; J-S. Lee; A. Yazdani et al. 

IEEE Transactions on Affective Computing. 2012. Vol. 3, num. 1, p. 18-31. DOI : 10.1109/T-AFFC.2011.15.

Affective content analysis of music video clip

A. Yazdani; K. Kappeler; T. Ebrahimi 

2011. ACM Multimedia 2011. p. 7-12. DOI : 10.1145/2072529.2072532.

EEG correlates of different emotional states elicited during watching music videos

E. Kroupi; A. Yazdani; T. Ebrahimi 

2011. Affective Computing and Intelligent Interaction (ACII), Memphis, Tennessee, USA, October 9-12, 2011. p. 457-466. DOI : 10.1007/978-3-642-24571-8_58.

OCULAR ARTIFACT REMOVAL FROM EEG: A COMPARISON OF SUBSPACE PROJECTION AND ADAPTIVE FILTERING METHODS.

E. Kroupi; A. Yazdani; J-M. Vesin; T. Ebrahimi 

2011. 19th European Signal Processing Conference, Barcelona, Spain, August 29- September 2, 2011.

Implicit Retrieval Of Salient Images Using Brain Computer Interface

A. Yazdani; J-M. Vesin; D. Izzo; C. Ampatzis; T. Ebrahimi 

2010. IEEE International Conference on Image Processing, Hong Kong, PEOPLES R CHINA, Sep 26-29, 2010. p. 3169-3172. DOI : 10.1109/ICIP.2010.5654346.

The Impact of Expertise on Brain Computer Interface Based Salient Image Retrieval

A. Yazdani; J-M. Vesin; D. Izzo; C. Ampatzis; T. Ebrahimi 

2010. 32nd Annual International Conference of the IEEE EMBS, Buenos Aires, Argentina, August 31- September 4, 2010. p. 1646-1649. DOI : 10.1109/IEMBS.2010.5626655.

Single trial classification of EEG and peripheral physiological signals for recognition of emotions induced by music videos

S. Koelstra; A. Yazdani; M. Soleymani; C. Muehl; J-S. Lee et al. 

2010. International Conference on Brain Informatics, Toronto, Canada, August 28-30.

Context-Dependent Segmentation of Retinal Blood Vessels Using Hidden Markov Models

A. Pourmorteza; S. H. R. Tofighi; A. Roodaki; A. Yazdani; H. Soltanian-Zadeh 

Advances in Computer Science and Engineering; Springer-Verlag, 2009. p. 348-355.

Curiosity Cloning: Neural Analysis of Scientific Knowledge

D. Izzo; L. Rossini; M. Rucinski; C. Ampatzis; G. Healy et al. 

2009. International Joint Conference on Artificial Intelligence 2009, Workshop on Artificial Intelligence in Space, California, USA, July 11-17, 2009.

Implicit emotional tagging of multimedia using EEG signals and brain computer interface

A. Yazdani; J-S. Lee; T. Ebrahimi 

2009. ACM Multimedia, Workshop on Social Media, Beijing, China, 19-23.10.2009. p. 81–88. DOI : 10.1145/1631144.1631160.

Classification of EEG Signals Using Dempster Shafer Theory and a K-Nearest Neighbor Classifier

A. Yazdani; U. Hoffmann; T. Ebrahimi 

2009. The 4th International IEEE EMBS Conference on Neural Engineering, Antalya, April 29- May 2, 2009. p. 327-330. DOI : 10.1109/NER.2009.5109299.

Fisher linear discriminant based person identification using visual evoked potentials

A. Yazdani; A. Roodaki; S. H. Rezatofighi; K. Misaghian; S. K. Setarehdan 

2008. 9th International Conference on Signal Processing (ICSP 2008), Beijing, china, October 26-29 , 2008. p. 1677-1680.

Context-dependent Segmentation of Retinal Blood Vessels

A. Pourmorteza; S. H. R. Tofighi; A. Roodaki; A. Yazdani; H. Soltanian-Zadeh 

2008. 13th International CSI Computer Science, Kish Island, Persian Gulf, Iran, March 9-11, 2008.

Face Detection Using Discrete Gabor Jets and a Probabilistic Model of Colored Image Patches

U. Hoffmann; J. Naruniec; A. Yazdani; T. Ebrahimi 

2008. e-Business and Telecommunications International Conference, ICETE 2008, Porto, Portugal, July 26-29, 2008. p. 331-344. DOI : 10.1007/978-3-642-05197-5_24.

Face Detection Using Discrete Gabor Jets And Color Information

U. Hoffmann; J. Naruniec; A. Yazdani; T. Ebrahimi 

2008. ICETE 2008, International Conference on Signal Processing and Multimedia Applications, Porto, July 26-29, 2008. p. 76-83.

Bayesian Feature Selection Applied In a P300 Brain- Computer Interface

U. Hoffmann; A. Yazdani; J-M. Vesin; T. Ebrahimi 

2008. 16th European Signal Processing Conference, Lausanne, August 25-29, 2008.

Manifold Learning Applied on EEG Signal of the Epileptic Patients for Detection of Normal and Pre-Seizure States

P. Ataee; A. Yazdani; S. K. Setarehdan; H. Ahmadi Noubari 

2007. 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Lyon, France, August 23-26, 2007§. p. 5489-5492. DOI : 10.1109/IEMBS.2007.4353588.

Neural, Fuzzy And Neurofuzzy Approach To Classification Of Normal And Alcoholic Electroencephalograms

A. Yazdani; P. Ataee; S. K. Setarehdan; C. Lucas; B. Nadjar Araabi 

2007. 5th International Symposium on Image and Signal Processing and Analysis, Istanbul, Turkey, September 27-29, 2007. p. 102-106.

Proposed Genetic Algorithm Based Method to Determine the Best Feature Vector and Window Length to Discriminate Pre-seizure and Normal EEG

A. Yazdani; P. Ataee; S. K. Setarehdan; H. Ahmadi Noubar 

2007. 5th International Symposium on Image and Signal Processing and Analysis, Istanbul, Turkey, September 27-29, 2007. p. 107-112.

Classification of EEG signals correlated with alcohol abusers

A. Yazdani; S. K. Setarehdan 

2007. 9th International Symposium on Signal Processing and its Applications, Sharjah, United Arab Emirates, Persian Gulf, February 12-15, 2007. p. 1-4.