Finite element simulations are used pervasively in industries such as aviation, energy, and manufacturing to design engineering products. This project seeks to significantly accelerate the pace of engineering design by coupling neural networks with the finite element method, thereby enabling development of efficient surrogate models that replace traditional simulations.
TechAdvance Funded Projects
Explore the latest funded projects through our TechAdvance® early-stage technology fund, providing financial support and business expertise to Rutgers faculty and students to advance their promising technologies toward commercialization.
This research seeks to prove a technology concept that could transform protein drug administration by empowering a patient’s own body to be a “living pharmacy”. If realized, this user-controlled wireless technology to control gene expression can minimize cost and maximize treatment adherence for potentially millions of patients in need.
Our nanotechnology is directed towards mitigating neuroinflammation and the associated neurodegeneration within the brain. Once optimized and appropriately harnessed, our technology has the mechanism of action to halt the progressive loss of neurons. This is achieved by arresting excessive neuroinflammation and promoting the natural clearance of neurotoxic proteins such as amyloid beta.
Blue organic light-emitting diodes (OLEDs) used in displays and lighting technologies have significantly lower efficiency and stability compared with green and red OLEDs. This project will improve blue OLED efficiency and operational stability by increasing light extraction and reducing degradation pathways in the organic semiconductor emissive layer.
This project aims to develop an autonomous navigation system for wheelchairs, enhancing user independence and safety while reducing caregiver workload. It targets individuals with mobility impairments, elderly users, and those with progressive conditions, using system-level design of sensors, navigation, and control technologies for safe navigation in various environments.
Our objective is to optimize an inhibitor of the malaria-causing parasite, Plasmodium. We will use structure-guided design to optimize the molecule’s potency against its target kinase. The resulting medicinal chemistry program will yield highly potent and selective inhibitors of Plasmodium suitable for further development of an anti-malarial drug.
This technology is a virus-based gene therapy for the treatment of spinal cord injury (SCI). The treatment dramatically improves locomotor behavior in a mouse model of SCI by promoting the generation of new neurons for the re-establishment of damaged neural circuits and reducing the glial scar formation at the lesion site.
To build drug-likeness properties into candidate molecules at an early stage, we will establish the efficacy of orally available small molecule macrophage migration inhibitory factor (MIF) inhibitors against IBDs in animal models. Should a suitable candidate(s) emerge from these studies, structural corrections for solubility, permeability, toxicity, and metabolic vulnerability are expected to be minimized, leading to a faster and more direct drug approval process.
Taking intraoral photos is a routine and integral part of diagnosis and treatment planning for orthodontists and many other dental specialists. Current practice of using intraoral mirrors often causes inaccurate images and patient discomfort. This project aims to develop a new system that improves the image quality and patient comfort.