Designing and testing a controller for wearable robots that is safe and stable will help improve their performance in stability, agility and effort.
Enhancing heat transfer in liquid cooling channels will contribute to the advances in heat exchanges and thermodynamic systems.
Creating a more accurate human prediction model in self-driving cars will account for the uncertainty in human actions.
Studying the comfort and pressure inside the sockets of amputees to give them comfort and stability could change the world of prosthetics.
Extracting the activation energy of the electrodeposit growth rate will help better understand the temperature dependence of nanoionic devices.
Optimizing self-boring robot design parameters decreases environmental impact and improves subterranean mobility for underground testing.
Studying the effects of applied potential on plasticity will help develop bioelectronics and neurotechnological devices for rehabilitation.
Designing a more aerodynamically optimized rocket will help improve the efficiency of space rocket launches and reduce overall costs.
Conducting an economic analysis of fund allocation processes will improve disaster preparedness and mitigation operations.
Learning the foundation and technical aspects of civil engineering through hands-on applications will improve students' skills.
Designing a retractor tool that can be enlarged at the working end will allow neurosurgeons greater freedom of movement during neurosurgery.
Designing an algorithm for a rover to navigate itself in an unmapped region using GPS will help with rescue or discovery missions.
Researching ways to model anterior cruciate ligament tear risks and designing a smart knee brace device will help prevent ACL tears.
Studying the fracture speed in a glassy polymer as a function of electric resistance and temperature can improve a variety of products.
Understanding a material's ability to deform plastically is fundamental in creating secure structures.
Developing energy-efficient localization and mapping methods will help low-power devices navigate.
Investigating the temperature field evolution during resistance spot welding can improve the durability of electric car batteries.
Self-burrowing robots can help with sensing individuals during search and rescue after a disaster and detecting nutrients in agriculture.
Using ankle strength data as a criteria for prescribing the right type orthotic device to stroke patients will help prevent falls.
Designing a "temporary leader"-based swarm controller could allow for whole new ways of achieving tasks in limited information environments.
Developing a method to design and test certain structures for additive manufacturing will help better understand their potential applications.
Designing a new device for treating tangles of blood vessels in the brain will allow for safe delivery of embolic agents for treatment.
Studying atmospheric water capture and the effects location has on water quality parameters will create a source of drinking water when it is otherwise unavailable.
Studying the performance impact of computer-generated material transitions will allow for the design of stronger educational robot components.
Studying the forces that a basilisk lizard exerts on the surface of the water will improve robots designed to traverse complex terrain.
Designing a system to collect and analyze data about how people ride bicycles will help make this activity more accessible through balance and steering assistance.
Determining the effectiveness of biochar as a soil amendment to remove E. coli will prevent future outbreaks.
Studying ground-based, microgravity protein crystallization unit operation will lead to regenerative medicine applications on Earth and in space.
Synthesizing ethyl lactate through E. coli will increase its sustainability and offer an alternative to petrochemical derivatives.
Studying the ability for an autonomous vehicle to determine another vehicle's intent or loss of function will promote safer executions of traffic scenarios.
Enriching for edited stem cells using gene editing tools can generate disease-relevant stem cell lines for disease modeling.
By studying the critical size range of particles, the amount of energy used to produce products in a variety of industries can be minimized.
Writing a graphical user interface with text mining code will help our chemical engineering lab get information from articles more efficiently.
Tracking wireless users by training a neural network to associate 5G signals with their position captured by RGB/Depth cameras will overcome limitations of 5G technology.
Using molecular dynamic simulations to model ionic liquids for low-temperature sensors will improve understanding of their use for space applications.
Using natural language processing and machine learning to automatically create and recommend visualizations will help show related data for news stories.
Controlling the rate of silver release will help to increase efficiency in water treatment systems on the International Space Station.
Designing a Mars soil sample collection system that prevents contamination will improve the ability to study the planet.
Developing a system for deep-brain stimulation that uses cerebral blood flow rates will help optimize the efficacy of the treatment.
Designing a soft robotic exosuit with inflatable fabric-based actuators will provide better lateral support for the ankle in walking rehabilitation.
Designing advanced antenna surfaces for efficiently redirecting radio waves will enable more efficient wireless communications.
Optimizing a motorized ankle-foot orthosis will assist in the rehabilitation process for people suffering from neuromuscular conditions.
Developing a polymer composite from silica aerogel to be used as heat insulators will reduce the cost of heating and cooling of homes.
Designing a therapeutic hand device that utilizes electrical stimulation will help improve hand dexterity in people with spinal cord injuries.
Studying the effect of nanofiller to elastomer ratio in a conductive polymer composite will help determine its electrical conductivity.
Developing a mechanism to actively assist the knee joint during high-risk movements will reduce the risk of joint re-injury.
Developing a surgical instrument to assist surgeons with the complicated decortication procedure will help increase the effectiveness of trapped lung treatments.
Creating a system to track a person's energy expenditure under free-living conditions will lead to more effective weight management.
Discovering factors driving immune cell migration to mesothelioma tumors using computational biology can benefit patient immunotherapy studies.
Developing a novel cancer treatment for resistant types of melanoma will help improve therapeutic strategies.
Using deep reinforcement learning to control a platoon of drones will assist first responders in search and rescue operations.
Analyzing the effect of host-circuit interactions in cells will improve how people robustly design synthetic gene circuits.
Analyzing the properties and performance of natural materials will create more efficient methods of handling and storing them.
Studying the benefit and cost structure of paper recycling methods will assist large corporations in improving their sustainability efforts.
Altering the metabolic pathways of bacteria will aid in the sustainable production of medicines and other value-added compounds.
Farmers would sample their crops by sectioning their land and running sample tests. This method is time-consuming and costly and it also comes with inaccuracies as it would be impossible to cohesively analyze every single plant.
Using reinforcement learning to enable a team of robots to plan search and rescue missions will enable them to become effective tools.
Designing an electrolyzer application for a load-managing system will lead to a new, more efficient power transfer system for solar panels.
Tumor cells cultured in the form of spheroids and encapsulated in polymers can provide insight into studying their in-vitro dormancy.
Metabolically engineering cyanobacteria will lead to the efficient production of renewable chemicals using sustainable resources.
Studying the possible effects of carbon-based materials on microorganisms will help create safe production of these substances.
Studying how engineers and their firms consider the impact of border barriers on wildlife will show the sustainability of such projects.
Creating new algorithms using EEG, biological and environmental data can help predict epileptic seizures before they occur.
Discovering the effectiveness of a cold trap condenser can lead to its use to collect clean water from a pervaporation system.
Studying the strength of composites will enable cheaper, safer methods of space travel and more effective warfighting capabilities.
Studying human behavior in collaborative tasks will help develop robots that effectively and intelligently work with humans.
Studying near-field radiation with phase-shift materials will create more efficient thermal rectifiers for energy transfer.
Studying the optical force produced by materials will further advancements and implementation of electronics and space exploration technology.
Studying the effects of particle size, fill level and rotational speed on heat transfer in rotary drums will enable reduced energy usage.
Exploring properties that affect the granulation of pharmaceutical materials can help reduce energy consumption by preventing wastage.
The development of a process for recycling solar panels is profitable and makes the technology a truly renewable energy source.
Designing a high-energy-density, holey graphene-based electrode can create opportunities for mobile power supply in varied applications.
Studying the transport of microplastics through soil will inform the agriculture industry to make decisions about sustainable farming.
Testing solar cell materials at different wavelengths and temperatures will help achieve greater efficiency.
A cost-effective, sustainable ammonia detection sensor can be designed using metal organic frameworks by relying on measurable conductivity changes from gas adsorption.
Studying the flow and heat transfer properties of 3D-printed, millimeter-scale polymer tubes will aid in designing better heat exchangers.
Mapping the behavior of glassy material fractures allows us to build materials and mechanisms over time that are sustainable, safe and efficient.
Verifying the functionality of octopus arm muscles will advance soft robotics and motor control systems.
Using gait sensing and force haptic feedback in shoe insoles will help provide better rehabilitation.
Optimizing cyanobacteria cell health will allow for an efficient photosynthetic-based biofuel production system.
Studying the modes of heat transfer in a rotary drum will guide industry users to better determine process parameters such as rotation rate.
Designing and 3D printing an optical lens via micro-continuous liquid interface printing will help create portable microscopes.
Studying how the sizing of an aircraft's control surfaces impacts its stability will help teach people how to design more efficiently.
Studying the particle velocity at different locations of a rippled shock front provides a potential new technique to evaluate dynamic strength.
Genetically engineering bacillus subtilis will increase the efficiency of biofuel production.
Using machine learning algorithms for faster channel gain estimation will help improve wireless communications.
Investigating better ways to collect opinions from people will improve data quality and motivate less-biased crowdsourcing results.
Designing instruments for aircraft performance measurement will increase aircraft energy efficiency.
Designing safe drug delivery solutions for managing pain will help people find better alternatives to opioids.
Investigating the role of certain brain cells in cancer recurrence will identify efficient therapeutic treatments for glioblastoma.
Investigating a method to regenerate desiccants for energy-efficient use in vacuum desiccant personal cooling devices will make the devices more useful.
Comparing the most common mechanical property testing methods of carbon composites will improve future analysis of their structure.
Developing damage-sensing composites will provide a better understanding of the composite structure and minimize catastrophic failure.
Conducting an analysis of alternatives for evaporation prevention for the Central Arizona Project will help sustain Arizona's water supply.
Designing a virtual environment that changes upon each usage will help develop artificial intelligence that learns with less time and data.
Studying electric vehicle upstream emissions will enable engineers to further optimize battery design for efficiency and sustainability.
Understanding the mechanisms for damage growth is key to the development of predictable defense and armor systems.
Developing a deep learning architecture to control a custom-built hip exoskeleton will help it adapt across different walking behaviors among users.
Creating a time-variant neural network that can model particle dynamics will demonstrate machine learning can learn unknown physics concepts.
Understanding how liquid fuels can augment hydrogen production will help improve fuel cells, autonomous vehicles and other portable power generation.
Evaluating nanoparticle use for therapeutic drug delivery will help better treat traumatic brain injury.
Using machine learning for material property simulations will accelerate the process and decrease computational expense.
Studying magnetic needle steering for use in minimally invasive surgery will increase precision and control.
Developing a simple-to-use spectrometer can help reduce post-harvest losses of farm produce.
Developing a high-temperature heater for a thermophotovoltaic system will help create a more efficient energy conversion method for further study.
Characterizing mechanical properties of nanocomposites allows military technology to create safer and more effective armor for soldiers.
Determining a fibrous tissue model for the testing of a novel surgical device will help standardize the decortication procedure for trapped lung.
Creating methods to rapidly plan microgrid development will lead to the sustainment and resilience of off-grid power projects.
Modeling the human ankle during walking in variable environments will help design better controllers for lower-extremity wearable robotics.
Designing complex geometries for PEG hydrogels to encapsulate islet cells will help treat type 1 diabetes.
Analyzing the effect of size range on microparticles' ability to release drugs and naturally degrade will improve patient safety and satisfaction.
Improving the robustness of signal detectors in the presence of channel distortions has potential impacts in Earth and space exploration.
Needle tracking will help improve targeted drug delivery by providing more accurate delivery and less recovery time for the patient.
Developing a neural network model for predictive modeling of many-body interactions will help simulate collective dynamics of cancer cells.
Enhancing the process of fabricating flexible perovskite solar cells can be used as a power source for flexible devices.
Allowing designers to simulate shock structures inside of a high-speed engine helps pave the way to higher speed jet engines.
Creating a repeatable, open-source radiation hardening method allows more companies to create radiation robust electronics.
Engineering cyanobacteria will improve the production of sustainable biochemicals by optimizing growth rate and efficiency.
Investigating the optimization of future public transportation will create urban mobility systems with increased efficiency and reliability.
Designing an improved auto-sampling system for cyanobacteria COâ‚‚ fixation experiments will improve research efficiency.
Developing a process for helping microgrid designers select generation assets and their positions will help minimize cost and losses.
Designing an oral drug vehicle to modulate the immune response to rheumatoid arthritis will slow progression and increase patient comfort.
The study of entrainment with the detail of computation in convection scenarios is necessary to understand the formation of dust storms.
Designing a novel strategy to reduce carbon dioxide emissions will help minimize the environmental impact of biofuel production.
Preparing a method to measure radiative heat transfer between two surface and extracting measurements will help quantify heat transfer energy.
Studying the creation of reverse osmosis pretreatment membranes with eletrospinning will help understand its role in removing biological and inorganic contaminants in water.
Leveraging high-quality instruction and novel engineering will aid STEM instructors in delivering a powerful learning experience for K-12 students.
Optimizing electric aircraft propulsion through data will help maximize range and other aircraft performance features.
Studying oxygenation within tissues via fluorescent nanoprobes will help develop an alternate treatment to insulin injections.
Testing the ability of a robotic controller to reduce human muscle activation will increase the efficiency of human-robot interfaces.
Developing a method to quantify students' understanding of the engineering design process will allow for instructors to improve their courses.
Studying the voltage threshold shifts of MOS circuits will improve design practices for radiation-hardened circuits for space applications.
Improving the software used in Raman spectrometry to determine the presence of compounds can illustrate the importance of intuitive software.
Designing and constructing a prototype for a lunar rover will help facilitate human exploration on the moon.
Designing next-generation antennas to dynamically interact with the wireless environment giving users flexibility to stay connected, everywhere.
A clinically translatable cell encapsulation strategy would enable the widespread application of islet transplantation to treat diabetes.
Mixing UV-treated micro-plastics into cement will mitigate plastic waste and enhance the mechanical properties of cement.
Studying the mark-making process and designing a robot to recreate the same marks will help create a language robots can understand.
Assistive exoskeletons are an increasingly valuable rehabilitation tool for patients with neurological damage. This project implements an advanced sensor system and control scheme on a portable, low-cost knee exoskeleton.
Using reusable silicon netting to assist with organ isolation and protection will help decrease surgery time and increase patient outcomes.
Studying silver reactions on Stainless Steel 316 will help improve potable water systems on spacecraft.
Efficiently modeling high traffic areas will maintain the level of safety in autonomous vehicles and other drivers while reducing the computational cost.
The SolarSPELL library for biomedical equipment technicians is creating a curated set of information that can be accessed anywhere with a Wi-Fi hotspot.
The SolarSPELL library for biomedical equipment technicians provides offline, digital user manuals, repair guides and more for resource-constrained hospitals.
The SolarSPELL library provides access to existing resources for biomedical equipment technicians and empowers resource-constrained hospitals.
The SolarSPELL library for biomedical equipment technicians is empowering resource constrained hospitals by providing them access to existing resources.
The SolarSPELL library for biomedical equipment technicians strives to empower individuals in resource-constrained areas by providing access to existing resources.
Measuring the radiative heat transfer between two flat plates that are nanometers apart will help build better solar cells.
Studying surface irregularities in metal 3D printing will help manufacturers build more resilient parts for end-users.
Developing porous membranes that can separate mixtures will help with progress in issues such as climate change and renewable energy.
Studying distributed algorithms for micro-scale swarms of synthetic cells will help target wounds or infections in the body.
Studying chimeric antigen receptor macrophages will help determine if they are a better treatment for B cell lymphoma tumors.
Discovering specific biomarkers for traumatic brain injury will aid in the diagnosis of the condition and pave the way for novel treatments.
Developing a new window film will allow for active reduction of unwanted noise.
Collecting data to form a baseline for designing and targeting stem cell replacement therapies will mitigate the long-term effects of traumatic brain injury.
Studying the filtration properties of ultra-porous membranes will help create more environmentally friendly ways to treat industrial waste.
Assessing non-lethal weapons and technologies around the globe will help develop less-lethal solutions for peace and security applications.
Designing a thermo-responsive liquid embolic agent will create better methods of endovascular therapy for treating ruptured brain aneurysms.
Investigating the thermodynamic cycle and efficiency of thermal hydraulic engines will provide a more reliable and efficient use of waste heat.
Utilizing hydrophobic patterns on the surfaces of heat exchangers will help optimize heat transfer.
Understanding how nanoscale damage at the interphase impacts the overall properties of a polymer matrix composite will show how it affects the sustainability of the material.
Developing a medical imaging software package will improve the planning and outcome of great artery heart defect surgeries.
Employing hydrophilic character on the surface of membranes will prevent the effect of fouling and scaling in the water filtration process.
Studying the effects of combining visual and tactile modulation of gait will help increase efficacy and retention in stroke patient rehabilitation.
Building an underwater autonomous robot helps improve students' design skills and create industry connections through competitions.
A new knee brace electronic platform will provide insights into an athlete’s performance and risk of re-injury after knee ligament surgery.
Using stem cells and hyaluronic acid hydrogels that allow cell adhesion, differentiation and survival could lead to better traumatic brain injury treatment.
Optimizing 3D-printed inlays through the use of a non-uniform structure will allow for parts with a better strength-to-weight ratio.
Computational modeling of a specific atomic structure that is efficient at capturing CO2 from the air can help fight climate change.
Finding the most efficacious and potent HDAC inhibitor drug will help modulate neuroinflammation to improve traumatic brain injury pathology.
Studying network anomalies helps improve network data, user organization safety and threat accuracy within businesses and organizations.
Investigating the effect of user-determined variable resistance control of active orthosis will reduce muscle fatigue and improve gait correction.
Developing vector maps allows industries to model and scale cities and regions on a multi-dimensional and global scale for their clients.
Characterizing the effect of a ratiometric fluorescent pH sensing nanoprobe in different tissue culture models will help scientists better assess cellular microenvironments.
Engaging students in a global robotics competition applies the knowledge and skills they have learned to a game-based challenge.
Using non-destructive 3D microscopy to measure the corrosion of a key aeronautical alloy over time will improve alloy design and reliability.
181 projects
The Fulton Undergraduate Research Initiative (FURI) is designed to enhance engineering and technical undergraduate curriculum by providing hands-on lab experience and independent and thesis-based research.
Phone: 480-727-6761
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