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Mohammadreza Amirian

  Mohammadreza Amirian

Mohammadreza Amirian

ZHAW School of Engineering
Forschungsschwerpunkt Information Engineering
Obere Kirchgasse 2 / Steinberggasse 12/14
8400 Winterthur

+41 (0) 58 934 47 62
mohammadreza.amirian@zhaw.ch

Personal profile

Position at the ZHAW

Research Assistant

Expertise and research interests

Machine Learning, Pattern Recognition, Neural Networks, Affective Computing,Facial Expression Estimation, Computer Vision, Digital Signal Processing, Bio-physiological Signal Processing, Pain Estimation, Sonar, Image Processing, Compressed Sensing, Medical Imaging, Multi-modal Data Fusion, Recurrent Networks

Current research: Deep Learning and image processing

Educational background

Maseter, Comuunications Technology, 2017, Ulm University

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Publications

Book parts, peer-reviewed
Conference contributions, peer-reviewed
Other publications
Publications before appointment at the ZHAW

Amirian, Mohammadreza; Kächele, Markus; Palm, Günther; Schwenker, Friedhelm. Support Vector Regression of Sparse Dictionary-based Features for View-Independent Action Unit Intensity Estimation. Facial Expression Recognition Challenge (FERA 2017).
Amirian, Mohammadreza; Kächele, Markus; Thiam, Patrik; Kessler, Viktor; Schwenker, Friedhelm. Continuous Multimodal Human Affect Estimation Using Echo State Networks. Proceedings of the 6th International Workshop on Audio/Visual Emotion Challenge (ACM 2016).
Amirian, Mohammadreza; Kächele, Markus; Schwenker, Friedhelm. Using Radial Basis Function Neural Networks for Continuous and Discrete Pain Estimation from Bio-physiological Signals. IAPR Workshop on Artificial Neural Networks in Pattern Recognition (2016).
Kächele, Markus; Thiam, Patrik; Amirian, Mohammadreza, Schwenker, Friedhelm; Palm, Günther. Methods for Person-Centered Continuous Pain Intensity Assessment from Bio-Physiological Channels. IEEE Journal of Selected Topics in Signal Processing (2016).
Kächele, Markus; Mohammadreza, Amirian; Thiam, Patrick; Werner, Philipp; Walter, Steffen; Palm, Günther; Schwenker, Friedhelm. "Adaptive Confidence Learning for the Personalization of Pain Intensity Estimation Systems." Evolving Systems.
Kazemi, Kamran; Amirian, Mohammadreza; Dehghani, Mohammad Javad. The S-transform Using a New Window to Improve Frequency and Time Resolutions. Signal, Image and Video Processing (2014).