Assoc. Prof. Dr.Keivan Narooei |Constitutive Modeling Best Researcher Award
faculty,K. N. Toosi University of Technology,Iran
Assoc. Prof. Dr. Keivan Narooei is a faculty member at K. N. Toosi University of Technology, Iran. He specializes in Artificial Intelligence and Robotics, with a strong academic background and professional expertise in intelligent control systems and AI applications. Dr. Narooei has contributed significantly to research and education, holds several patents in his field, and has played a key role in leading RoboCup teams. In addition to his academic endeavors, he has served as an AI consultant for various industries, blending theoretical knowledge with practical applications.
Summary:
Assoc. Prof. Dr. Keivan Narooei is an accomplished researcher in the field of mechanical engineering and material science, particularly in metal forming processes. His strengths lie in advanced theoretical research, innovative code development, and academic excellence. Dr. Narooei has received notable accolades throughout his academic career, which reflect his dedication and expertise. However, the CV lacks details about publications, international collaborations, and mentorship activities, which are crucial metrics for research awards of this nature.
Professional Profiles:
🎓 Education :
Keivan Narooei holds a Ph.D. in Metal Forming from Sharif University of Technology (2012), where he completed 36 credit units. His doctoral thesis focused on “Prediction of microstructure and texture in severe plastic deformation by ALE FEM and large deformation crystal plasticity” under the supervision of Prof. Ali Karimi Taheri.He earned an M.S. in Metal Forming from Sharif University of Technology in 2004, completing 54 credit units. His master’s thesis, titled “Prediction of formability of multilayer sheets in the stretch forming process by nonlinear finite element,” was also supervised by Prof. Ali Karimi Taheri.Keivan’s academic journey began with a B.S. in Materials Science and Engineering from Isfahan University of Technology (2002), where he completed 140 credit units. His bachelor’s thesis, “Design and manufacturing of Drop Hammer Press Test Machine,” was supervised by Prof. Abass Najafizade.
🏢 Experience:
Dr. Narooei is a faculty member in the Mechanical Engineering Department at K. N. Toosi University of Technology. His teaching and research focus on advancing knowledge in materials processing and forming technologies, leveraging his extensive expertise in finite element modeling and metal deformation analysis.
🛠️Skills:
Advanced Finite Element Modeling (ALE FEM),Crystal Plasticity and Microstructure Prediction,Nonlinear Constitutive Modeling,Design and Manufacturing of Test Machinery,Computational Analysis of Multilayer Sheet Forming Processes Advanced Finite Element Modeling (ALE FEM)
Research Focus :
Dr. Narooei specializes in metal forming, with an emphasis on nonlinear finite element modeling, severe plastic deformation, microstructure prediction, and advanced constitutive models. His research combines analytical and computational methods to enhance the understanding and prediction of material behavior under complex forming processes.
🔬Awards:
Dr. Narooei has earned several prestigious accolades throughout his academic career:,Third Rank in the nationwide entrance exams for excellent education at the graduate level in Iran, competing against over 3,000 candidates (2002).,First Rank among graduate students during his M.S. studies (2002-2004).,First Rank in the Ph.D. entrance exam at Sharif University of Technology (2004).,Developed the First FE Code for forming using nonlinear FEM and advanced constitutive models (2007).,Received the Professional Presentation Award for a conference paper at Matform’90.
Dr. Narooei is a strong contender for the Research for Best Researcher Award, particularly if his publication record and contributions to international research are robust. To maximize competitiveness:,Include detailed information about high-impact publications, patents, and citations.,Highlight involvement in global collaborations and industrial applications.,Showcase mentorship achievements and leadership roles within academia.
Publications:
- 4D printing of shape memory polylactic acid beams: An experimental investigation into FDM additive manufacturing process parameters, mathematical modeling, and optimization”
- Authors: Hosseinzadeh, M., Ghoreishi, M., Narooei, K.
- Journal: Journal of Manufacturing Processes
- Year: 2023
- Citations: Not specified
- “Investigation of multiplicative decompositions in the form of FeFv and FvFe to extend viscoelasticity laws from small to finite deformations”
- Authors: Bahreman, M., Darijani, H., Narooei, K.
- Journal: Mechanics of Materials
- Year: 2022
- Citations: 7
- “An investigation into the effect of thermal variables on the 3D printed shape memory polymer structures with different geometries”
- Authors: Hosseinzadeh, M., Ghoreishi, M., Narooei, K.
- Journal: Journal of Intelligent Material Systems and Structures
- Year: 2022
- Citations: 12
- “A hyperelastic-damage model to study the anisotropic mechanical behavior of coral-hydrogel bio-composite”
- Authors: Eghbali, R., Narooei, K.
- Journal: Journal of the Mechanical Behavior of Biomedical Materials
- Year: 2022
- Citations: 4
- “Simulation of piezoresistance and deformation behavior of a flexible 3D printed sensor considering the nonlinear mechanical behavior of materials”
- Authors: Kouchakzadeh, S., Narooei, K.
- Journal: Sensors and Actuators A: Physical
- Year: 2021
- Citations: 14
- “Strain rate-dependent mechanical metamaterials”
- Authors: Janbaz, S., Narooei, K., Van Manen, T., Zadpoor, A.A.
- Journal: Science Advances
- Year: 2020
- Citations: 77
- “Coupling of Bezier-type streamline and ETMB model to predict dislocation cell size in ECAE”
- Authors: Narooei, A., Roudini, G., Narooei, K.
- Journal: Engineering Research Express
- Year: 2020
- Citations: 2
- “Prediction of safe zone for osteonecrosis in the cutting process of bovine cortical femur bone using Arbitrary Lagrangian-Eulerian method and multi-objective optimization”
- Authors: Saghafi, B., Ghoreishi, M., Narooei, K.
- Journal: International Journal of Advanced Manufacturing Technology
- Year: 2019
- Citations: 2
- “A new hyper-viscoelastic model for investigating rate dependent mechanical behavior of dual cross link self-healing hydrogel”
- Authors: Ghorbanoghli, A., Narooei, K.
- Journal: International Journal of Mechanical Sciences
- Year: 2019
- Citations: 31
- “Generalization of exponential based hyperelastic to hyper-viscoelastic model for investigation of mechanical behavior of rate dependent materials”
- Authors: Narooei, K., Arman, M.
- Journal: Journal of the Mechanical Behavior of Biomedical Materials
- Year: 2018
- Citations: 23