Mr. Amir Abbas Kazemzadeh Farizhandi

Research Assistant
NASA EPSCoR Project, USA

Highest Degree
Ph.D. Student in Data Science Emphasis from Boise State University, Boise, Idaho, USA

My URL
https://livedna.org/1.37028

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Area of Interest:

Data Science Emphasis
3D Printing
Transfer Learning and Data Mining
Computational Modeling
Finite Element Methods

Selected Publications

  1. Zhao, X., L. Baharinikoo, M.D. Farahani, B. Mahdizadeh and A.A.K. Farizhandi, 2022. Experimental modelling studies on the removal of dyes and heavy metal ions using ZnFe2O4 nanoparticles. Sci. Rep., Vol. 12. 10.1038/s41598-022-10036-y.
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  2. Hachem, K., D. Bokov, M.D. Farahani, B. Mehdizade and A.A.K. Farizhandi, 2022. Ultrasound-assisted adsorption of dyes and cadmium ion from aqueous solutions by ZnAl2O4 nanoparticles. Mater. Chem. Phys., Vol. 276. 10.1016/j.matchemphys.2021.125398.
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  3. Farizhandi, A.A.K., O. Betancourt and M. Mamivand, 2022. Deep learning approach for chemistry and processing history prediction from materials microstructure. Sci. Rep., Vol. 12. 10.1038/s41598-022-08484-7.
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  4. Farizhandi, A.A.K. and M. Mamivand, 2022. Processing time, temperature, and initial chemical composition prediction from microstructure by deep neural network for multiple inputs and fused data. SSRN J., 10.2139/ssrn.4084711.
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  5. Farizhandi, A.A.K. and M. Mamivand, 2022. Processing time, temperature, and initial chemical composition prediction from materials microstructure by deep network for multiple inputs and fused data. Materials & Design Vol. 219. 10.1016/j.matdes.2022.110799.
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  6. Alishiri, M., F.A.A. Majid and A.A. Kazemzadeh, 2022. Cereal grain hydrolysate as a medium supplement in human skin fibroblast 1184 cell culture. Biotechnology, 21: 1-9.
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  7. Shojaei, S., S. Shojaei, S.S. Band, A.A.K. Farizhandi, M. Ghoroqi and A. Mosavi, 2021. Application of Taguchi method and response surface methodology into the removal of malachite green and auramine-O by NaX nanozeolites. Sci. Rep., Vol. 11. 10.1038/s41598-021-95649-5.
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  8. Farizhandi, A.A.K., M. Alishiri and R. Lau, 2021. Machine learning approach for carrier surface design in carrier-based dry powder inhalation. Comput. Chem. Eng., Vol. 151. 10.1016/j.compchemeng.2021.107367.
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  9. Farizhandi, A.A.K., S.Z. Khalajabadi, V. Krishnadoss and I. Noshadi, 2020. Synthesized biocompatible and conductive ink for 3D printing of flexible electronics. J. Mech. Behav. Biomed. Mater., Vol. 110. 10.1016/j.jmbbm.2020.103960.
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  10. Farizhandi, A.A.K., H. Zhao, T. Chen and R. Lau, 2020. Evaluation of material properties using planetary ball milling for modeling the change of particle size distribution in a gas-solid fluidized bed using a hybrid artificial neural network-genetic algorithm approach. Chem. Eng. Sci., Vol. 215. 10.1016/j.ces.2020.115469.
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  11. Farizhandi, A.A.K., A. Pacławski, J. Szlęk, A. Mendyk, Y.H. Shao and R. Lau, 2019. Evaluation of carrier size and surface morphology in carrier-based dry powder inhalation by surrogate modeling. Chem. Eng. Sci., 193: 144-155.
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  12. Farizhandi, A.A.K., H. Zhao and R. Lau, 2016. Modeling the change in particle size distribution in a gas-solid fluidized bed due to particle attrition using a hybrid artificial neural network-genetic algorithm approach. Chem. Eng. Sci., 155: 210-220.
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Member since December, 2021