Research
Topology Optimization
Topology optimization provides the best structural configuration of a design for an objective subject to one or more constraints. To generate structurally optimal designs for additive or advanced manufacturing, we are developing new multiphysics and multiobjective methodologies and leveraging existing strategies.
Additive Manufacturing Process Modelling and Constraints
To ensure a design is manufacturable, modeling the process is pertinent to first investigate the response of the structure during and after printing (deformation, residual stress). Beyond this, the process responses can be captured within the structural design methodology to mitigate severe manufacturing defects during and after production.
Lattice and Porous Structures
With the advances in additive manufacturing technologies to produce structurally complex yet functional features, lattice/porous/infill structures have become a viable means for design applications that cover lightweight, composites/meta-materials, bone scaffolds, implants, impact absorbers, etc.
Artificial Intelligence-Assisted Design
Convolutional Neural and Generative Adversarial Networks (CNN and GANs) have been investigated to upscale the use of topology optimization. While there is room for improvement in that area, we aim to develop process data-driven surrogate AI models in topology optimization.
MDAM 2025 Wrapped
December 2025
2025 marked a milestone year for the MDAM Lab, with multiple journal and conference publications, student awards, research grants, and the graduation of our first two students. These achievements reflect the dedication of our team and the strong support of our academic and industry collaborators.
Looking ahead to 2026, we are excited to continue building on this momentum through new collaborations, student opportunities, and impactful research in structural design, optimization, and additive manufacturing.
Strut and Plate-type Lattice Generator (StrutGen)
Access and download the open source code for StrutGen
Osezua Ibhadode, PhD, PEng
Principal Investigator
Roberto Monroy, PhD
Postdoctoral Fellow
Collins Chike Kwasi-Effah, PhD
Postdoctoral Fellow