| Surface roughness parameter and modeling for fatigue behavior of additive manufactured parts: A non-destructive data-driven approach S Lee, B Rasoolian, DF Silva, JW Pegues, N Shamsaei Additive Manufacturing 46, 102094, 2021 | 70 | 2021 |
| Experimental observation and numerical investigation of filamentary structures in magnetized plasmas M Menati, B Rasoolian, E Thomas, U Konopka Physics of Plasmas 27 (2), 2020 | 12 | 2020 |
| Experimental observation and numerical investigation of imposed pattern formation in magnetized plasmas by a wide wire mesh M Menati, T Hall, B Rasoolian, L Couëdel, E Thomas, U Konopka Plasma Sources Science and Technology 29 (8), 085015, 2020 | 8 | 2020 |
| Surface roughness parameter and modeling for fatigue behavior of additive manufactured parts: a non-destructive data-driven approach. Addit Manuf 46: 102094 S Lee, B Rasoolian, DF Silva, JW Pegues, N Shamsaei | 7 | 2021 |
| Synthetic Order Data Generator for Picking Data M Ansari, B Rasoolian, JS Smith | 4 | 2018 |
| Formation of turing patterns in strongly magnetized electric discharges M Menati, S Williams, B Rasoolian, E Thomas Jr, U Konopka Communications Physics 6 (1), 221, 2023 | | 2023 |
| Automating Interpretation of Images and Visual Inspections in Modern Manufacturing and Medical Settings B Rasoolian Auburn University, 2021 | | 2021 |
| An Automated Method for Geometrical Surface Characterization for Fatigue Analysis of Additive Manufactured Parts B Rasoolian, J Pegues, N Shamsaei, D Silva 2019 International Solid Freeform Fabrication Symposium, 2019 | | 2019 |
