Sebelan Danishvar

A Research Fellow in the Department of Electronic and Computer Engineering, College of Engineering, Design and Physical Sciences, Brunel University, UK.

current research activities include machine learning, signal and image processing and analysis.

Sebelan Danishvar received the PhD degree from Tarbiat Modares University, Tehran, Iran, in 2008, in Electrical and Computer Engineering. He has been an academic board at Sahand University of technology and the University of Tabriz (Iran) from 2008 to 2018.

(Selected Journal Papers)

• T. Akbarpour, M. Shamsi, S. Daneshvar, M. Poureisa, “Medical image fusion based on nonsubsampled shearlet transform and principal component averaging'' International Journal of Wavelets, Multiresolution and Information Processing, Vol. 17, No. 4, pp.19-26, 2019.
• T. Akbarpour, M. Shamsi, S. Daneshvar, M. Poureisa, “Fusion of multimodal medical images using nonsubsampled shearlet transform and particle swarm optimization,'' Multidimensional Systems and Signal Processing, 2019.
• S. Asadzadeh, S. Daneshvar, B. Abedi, B. S. Oskouei, P. Shahabi, Y. Jasemian, “An advanced algorithm for the description of mice oocyte cytoplasm and polar body”, Biomedical Signal Processing and Control, Vol. 48, pp. 171-178, 2019.
• H. Shiri, M. A. Tinati, M. Codreanu, S. Daneshvar, “Distributed Sparse Diffusion Estimation based on Set Membership and Affine Projection Algorithm,” Digital Signal Processing, Vol. 73, pp. 47-61, 2018.
• S. Eftekharifar, T.Y. Rezaii, S. Beheshti, S. Daneshvar, “Block Sparse Multi-lead ECG Compression Exploiting between-lead Collaboration,” IET Signal Processing, 2018.
• B. Nobariyan, N. Amini, S. Daneshvar, A Abbasi, “A Novel Architecture of Medical Image Fusion based on YCbCr - DWT Transform” International Arab Journal of Information Technology, Vol. 15, No. 5, pp. 850-856, 2018.
• R. Arvanaghi, S. Daneshvar, H. Seyedarabi, A. Goshvarpour, “Fusion of ECG and ABP signals based on wavelet transform for cardiac arrhythmias classification,” Computer Methods and Programs in Biomedicine, Vol. 151, pp. 71-78, 2017.
• H. T. Khosroshahi, B. Abedi, S. Daneshvar, E. Alizadeh, M. Khalilzadeh, Y. Abedi, “Cross-linked Polyelectrolyte and Its Function in Adsorption of Fluid and Excess Nitrogen Waste Products: an Experimental Study on Dialysate Effluent Fluid”, Iranian journal of kidney diseases, Vol. 11, No. 4, pp. 294-303, 2017.
• A. Goshvarpour, A. Abbasi, A. Goshvarpour, S. Daneshvar, "Discrimination between different emotional states based on the chaotic behavior of galvanic skin responses", Signal, Image and Video Processing, Vol. 11, No. 7, pp 1347–1355, 2017.
• MA. Bakhshali, M. Mafi, S. Daneshvar, “Mathematical modelling of the patent ductus arteriosus (PDA),” Mathematical and Computer Modelling of Dynamical Systems, Vol. 19, No. 3, pp. 238-249, 2013.
• S. Gharebaghi, S. Daneshvar, M.H. Sedaaghi, "Retinal Image Registration Using Geometrical Features," Journal of Digital Imaging, Vo. 26, No. 2, pp.248-258, 2013.
• M. Dousty, S. Daneshvar, M. Haghjoo, “The effects of sedative music, arousal music and silence on electrocardiography signals,” Journal of Electrocardiology, Vol. 44, pp.396.e1–396.e6, 2011.
• S. Daneshvar, H. Ghassemian, "MRI and PET image fusion by combining IHS and retina-inspired models," Information Fusion, Elsevier, Vol. 11, No. 2, pp. 114-123, 2010.
• S. Daneshvar, H. Ghassemian, "MRI and PET images fusion based on human retina model", Journal of Zhejiang University SCIENCE A, Vol.8, No.10, pp.1624-1632, 2007.