IPM Positions

PostDoctoral Associate, School of Cognitive Sciences

Research Activities

Image Processing of Visual Scene and Transfer to an Implantable Multi-electrode Array in Visual Cortex.

Related Papers

1.	H. Shahbeik, A. Shafizadeh, MH. Nadian, D. Jeddi, SA. Mirjalili, Y. Yang, S. Shiung. Lam, J. Pan, M. Tabatabaei and M. Aghbashlo Using evolutionary machine learning to characterize and optimize co-pyrolysis of biomass feedstocks and polymeric wastes Journal of Cleaner Production 387 (2023), 135881  [abstract]

2.	A. Shafizadeh, H. Shahbeik, M.H. Nadian, V.K. Gupta, A.S. Nizami, S.S. Lam, W. Peng, J. Pan, M. Tabatabaei and M. Aghbashlo Turning hazardous volatile matter compounds into fuel by catalytic steam reforming: An evolutionary machine learning approach Journal of Cleaner Production 413 (2023), 137329  [abstract]

3.	A. Narmashiri, M. Abbaszadeh, M. Nadian and A. Ghazizadeh Value-based search efficiency is encoded in substantia nigra reticulata firing rate, spiking irregularity and local field potential Journal of Neuroscience (2023),   [abstract]

4.	M. Nadian, S. Farmani and A. Ghazizadeh A novel methodology for exact targeting of human and non-human primate brain structures and skull implants using atlas-based 3D reconstruction ScienceDirect 391 (2023),   [abstract]

5.	A. Shafizadeh, H. Shahbeig, MH. Nadian, H. Mobli, M. Dowlati, G. Vijai Kumar, W. Peng, S. Lam, M. Tabatabaei and M. Aghbashlo Machine learning predicts and optimizes hydrothermal liquefaction of biomass Chem. Eng. J. 445 (2022), 136579  [abstract]

6.	M. Aghbashlo , F. Almasi , A. Jafari, M.H. Nadian, S. Soltanian , S. Lam and M. Tabatabaei Describing biomass pyrolysis kinetics using a generic hybrid intelligent model: A critical stage in sustainable waste-oriented biorefineries Renewable Energy 170 (2021), 81-91  [abstract]