Mr. Amir Abbas Kazemzadeh Farizhandi
My Social Links

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

Share this Profile

Area of Interest:

Data Science Emphasis
100%
3D Printing
62%
Transfer Learning and Data Mining
90%
Computational Modeling
75%
Finite Element Methods
55%

Research Publications in Numbers

Books
0
Chapters
0
Articles
9
Abstracts
3

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.
    CrossRef  |  Direct Link  |  
  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.
    CrossRef  |  Direct Link  |  
  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.
    CrossRef  |  Direct Link  |  
  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.
    CrossRef  |  Direct Link  |  
  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.
    CrossRef  |  Direct Link  |  
  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.
    CrossRef  |  Direct Link  |  
  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.
    CrossRef  |  Direct Link  |  
  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.
    CrossRef  |  Direct Link  |  
  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.
    CrossRef  |  Direct Link  |  
  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.
    CrossRef  |  Direct Link  |  
  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.
    CrossRef  |  Direct Link  |  
  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.
    CrossRef  |  Direct Link  |