Alireza Asadpoure, PhD
Assistant Professor
Civil & Environmental Engineering
Contact
508-990-9652
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Education
2011 | Johns Hopkins University, Baltimore, MD | PhD in Civil Engineering |
2005 | Sharif University of Technology, Tehran | MS in Civil Engineering |
2003 | Tehran University, Tehran | BS in Civil Engineering |
Teaching
- CEN 202 - Mechanics of Materials
- CEN 307 - Analysis and Design of Reinforced Concrete Structures
- CEN 430/505 - Finite Element Analysis
- MNE 485 - Finite Element Method
- CEN 430/530 & MNE 491/590 - Special Topics: Topology Optimization with Application in Solid and Structural Mechanics
Teaching
Programs
Programs
- Civil & Environmental Engineering MS
- Civil Engineering BS, BS/MS
- Engineering and Applied Science PhD
- Environmental Resources Engineering
Research
Research awards
- $ 477,181 awarded by Office of Naval Research for UMassD MUST III: Multi-Fidelity Information Fusion for Accelerated Predictive Modeling and Optimal Design of High Entropy Alloys
- $ 387,696 awarded by Office of Naval Research for UMassD MUST II: A Unifying Framework for AM Process-Informed Design of High-Contrast Multi-Material Systems for Eigenvalue-Driven Physics
Research
Research interests
- Computational Design of Architected and Multifunctional Materials, Metamaterials
- Structural and Multidisciplinary Optimization
- Robust-based and Reliability-based Optimization
- Data-driven Optimal Design
- Uncertainty Quantification and Stochastic Mechanics
Dr. Asadpoure is a faculty member in the Department of Civil and Environmental Engineering at the University of Massachusetts Dartmouth. He received his PhD in structural mechanics from the Department of Civil Engineering at the Johns Hopkins University. His research experience and interests are in the field of computational mechanics with emphasis on stochastic modeling and optimization of complex systems and materials. Dr. Asadpoure develops design methodologies by incorporating advanced stochastic modeling and applied statistical methods into design topology optimization resulting in materials and systems with unprecedented performance. His research includes robust and reliable device/component/system designs considering a wide range of constraints in their manufacturing, vibration, stability and/or cross physical properties.