Collecting data on solar cell cracking and stress will prevent power loss and failure in solar cells.
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Collecting data on solar cell cracking and stress will prevent power loss and failure in solar cells.
Understanding the impact of the breast cancer microenvironment on progression will help with future cancer treatments.
Developing an advanced controller to balance agility and stability in a wearable ankle robot will maximize performance for the user.
Excess heat can be used as a clean, alternative form of energy for power plants and car engines.
Detecting and classifying social media bots after disasters will reduce the prevalence of scams and improve disaster response.
Creating a set of verification and validation practices for autonomous vehicles will ensure their effectiveness and security.
Finding a molecule that can identify dormant cancer cells will help develop better tumor characterization and treatment.
Forming mathematical models to describe ankle mechanics can assist in developing advanced lower limb prosthetics.
Synthesizing a polymer that can be broken down with ultrasound can improve the safety of embolization therapy for cancer.
Developing a wireless, wearable blood flow sensor will help alert hemodialysis patient caretakers about developing clogs.
Developing plastic coatings from waste plastic would decrease plastic waste and increase industrial reuse of plastics.
Developing a way for robots to accurately map and navigate indoors will help them safely move around their environment.
Measuring the facial muscles of stroke patients during startled speech can lead to improved speech therapy tools.
Better understanding the complications of type 2 diabetes will ultimately improve upon current therapies.
Using virtual reality to see how humans anticipate changes in ground surfaces will help build better prosthetics and bipedal robots.
Understanding multi-robot system capabilities can teach them to work better in coordination.
Investigating the structure of “hollow” molecules could lead to applications in gas separation and storage.
Developing a method to turn stem cells into neurons in large quantities can help with the study of Alzheimer’s disease.
Developing a way to use the temperature difference inside and outside of a building to generate energy could reduce energy demands.
Examining the Polytechnic campus’s energy infrastructure will allow ASU to understand how it can implement more renewable energy sources.
Reducing the drag on an airfoil through new designs will lead to better aircraft fuel efficiency.
Exploring design modifications of honeycomb structures used in cars and aircraft could improve mechanical performance.
Understanding the way cancer works at a cellular level would help make safer, more effective cancer treatments.
Creating a smart bicycle that is able to maintain balance and control will help make riding a bike possible for people will disabilities.
Developing a soft robotic foot orthosis could lead to faster rehabilitation for foot injuries and eventually a squishy Iron Man suit.
Simulating blood flow through branched blood vessels could help diagnose and treat cardiovascular diseases.
Creating a coating to allow single-paned windows to act as efficient, expensive double-paned windows will save energy and increase buildings' comfort levels at lower cost.
Creating a solar food drying system will lead to sustainable food preservation methods with less waste.
Quantifying inaccuracies of aviation modeling software can help teach better aerospace and mechanical engineering design.
Studying deep learning algorithms can lead to better solar energy prediction and management.
Studying service learning’s impact on engineering education persistence could help develop courses to better serve diverse student populations.
Simulating outdoor terrains with virtual reality and a treadmill can improve the versatility and performance of leg prosthetics.
Securing physical multi-robot teams against malicious activity will enhance trust and accelerate adoption of smart systems.
Designing damage-tolerate nanocomposite materials will help secure satellites, nuclear reactors and aircraft.
Studying the aging mechanism of pluripotent stem cells will help better model age-related Alzheimer’s disease.
Detecting and quantifying goosebumps allows for a new method of reliably detecting changes in emotion and the autonomic nervous system.
Studying the ecological risk of a heavy hydrocarbon removal method will lead to effective and safe oil spill cleanup.
Improving algorithms for an automated method of recording neuron activity will more efficiently locate and target cells of interest.
Improving a bioremediation technique with microbes would clean contaminated sites and also produce valuable byproducts.
Developing sophisticated tracking algorithms for drones can aid in tracking moving vehicles of interest.
Researching bacteria enzyme production could lead to the manufacturing of sustainable bio-plastics.
Testing alternative emissions detection methods could benefit Arizona if tailored to the state’s specific needs.
Creating facial expression with vibration patterns will assist people who are blind in detecting nonverbal cues in conversations.
Using neural networks to speed up automatic hacking detection could make detection cheaper and reduce the number of large security breaches.
Understanding the side products generated from a pollution-reducing cement coating will determine its safety.
Developing a new method to locate circulating tumor cells in blood will lead to better prognosis information for ovarian cancer.
Creating a new production pipeline for nanoparticle therapeutics can improve treatment for traumatic brain injuries.
Studying robotic group coordination can help cars autonomously avoid collisions.
Improving efficiency of genetic engineering techniques will reduce the trial and error costs of cell engineering.
Studying how oil shale and water interact would allow fracking waste fluids to be reclaimed.
Power-efficient real-time illumination estimation will improve the appearance of mobile virtual reality worlds.
Understanding the physical properties of thin films is the key to implementing them in useful devices.
Developing new machine learning algorithms can teach autonomous systems to extrapolate patterns and sequences.
Exploring nanosheet material reinforcement systems could lead to more resilient structures.
Studying the genetic changes of a bacterial pathogen that affects cystic fibrosis patients will help develop less invasive diagnostic procedures.
Effective utilization of machine learning could accelerate the discovery of new energy-related materials.
Developing a new low-cost, high-efficiency solar cell module configuration will transform the way power is generated on a terawatt scale.
Creating a biodegradable plastic component with bacteria will lead to cost-effective, environmentally friendly plastics.
Understanding meteorite properties and behaviors will help develop global security systems against meteor impact.
Implementing a solar drying system for melons could combat agricultural food waste in Panama.
Creating a model to optimize land conservation would enable more effective planning and endangered species protection.
Analyzing the capabilities of a lightweight, strong material could lead to a replacement for aluminum steel for power plants and spacecraft.
Developing a method to measure heat transfer will aid in understanding thermal energy harvesting and waste recovery.
Enabling an underwater robot to move like a fish will help it manage canals and waterways.
Young students’ friendship groups may show trends in future STEM interest and proficiency.
Strengthening deep neural networks against maliciously altered images would improve the security of computer vision technologies.
Developing cheap, foldable gliding robots can aid search and rescue operations, increase access to hands-on robotics education.
Designing a mobile robot that can encourage hunting behavior will help house cats get more exercise and avoid obesity.
Studying drug delivery to melanoma cells in 3D models will help understand melanoma survival pathways and provide new treatments.
Pioneering a new and more efficient cement model will help establish design guidelines for developing sustainable cement.
Assessing the cost efficiency of reusable rockets would allow for more cost-efficient space missions.
Adapting electric vehicle technology to smaller motorcycles will help move us to more efficient transportation options.
Developing a more energy-efficient desalination method would increase access to fresh water.
Modeling earthquake dampening methods will help optimize structural stability systems to prevent catastrophic failures.
Developing a less harsh method of nanoparticle production will make the process more sustainable and cost-effective.
Teaching autonomous robots to navigate complex urban environments like a college campus will lead to better robotic assistants.
Creating a haptic feedback testbed robot could help researchers better understand haptic feedback control.
By improving testing reliability and safety, rocket liquid propulsion research will be more accessible to students.
Optimizing algae-derived biofuels will reduce production costs and create a competitive, carbon-neutral alternative to fossil fuels.
Developing better robotic arm algorithms can enable mobile robots to assist humans, make deliveries or build structures.
Researching octopus-inspired soft robotics could advance robotic-assisted, minimally invasive surgery.
Understanding promoters of gene regulation in response to cell population density will help advance bioengineering and synthetic biology.
Identifying factors that promote STEM competency can help educators support children in developing their skills.
Designing a self-driving car that can move sideways will allow for better navigation of dense traffic and increased safety and efficiency.
Investigating the lifespan of electrical conductive adhesives in solar power module design could lead to more efficient and viable solar modules.
Understanding young students’ gender biases can help improve gender diversity in engineering.
Studying extreme fast-charging systems in electric vehicles can lead to increased range and faster charging times.
Analyzing the effectiveness of a metafilm coating for solar thermophotovoltaics could lead to more efficient solar energy generated from heat.
Optimizing hydrogen peroxide production with microbes will make it more sustainable to produce for industrial applications.
Developing and testing 3D-printed cement mixtures can lead to faster construction processes.
Refining models to identify at-risk freshmen will help academic advisors intervene and improve retention.
Using CRISPR to age model neurons for Alzheimer’s disease study will lead to better understanding and treatments.
Testing mix designs for ultra-high-performance concretes could lead to the discovery cheaper, more sustainable concrete.
Analyzing social media activity patterns is key to developing effective methods for more efficient disaster-relief efforts.
Developing targeted intervention efforts can help ASU increase retention of its engineering students.
Creating a hybrid solar-powered test vehicle to optimize on-board solar power usage can lead to efficient solar-electric hybrid vehicles.
Creating an anonymous, ever-changing encryption method will keep sensitive data more secure online.
Quantifying policy change effects on water demand will lead to better water management policies during droughts.
Developing a supercapacitor that can harvest and store energy will turn damaging high-voltage discharge into an energy source.
Fabricating and analyzing tunable nanoscaffolds could lead to implants that induce tissue regeneration.
Optimizing biofuel production with bacteria and enzymes will make biofuels a cheaper and more feasible energy source.
Increasing electrolytes’ operating temperature ranges would allow devices to be used in extreme low temperatures.
Developing nanocomposite strain sensors could extend building life and prevent catastrophic structural failures.
Evaluating bone cell behavior on particular hydrogels will lead to better understanding of gene expression.
Designing an autonomous robotic fish to cut vegetation in Phoenix waterways will result in cleaner water and less flooding.
Teaching underwater vehicles to move in all directions will open up ocean exploration capabilities and education opportunities.
Studying smart appliance digital logic teaches students how everyday technology works.
Utilizing the temperature difference across brick walls of buildings to generate energy can cut down energy consumption.
Investigating the effect of an aircraft wing’s surface roughness will lead to decreased fuel consumption.
Identifying cryptocurrency mixing on the deep web could limit money laundering
Creating a photo analyzing software system to determine crop health could decrease agricultural maintenance and produce costs.
Understanding how humans react to robots displaying facial expressions can help design safe, reliable and effective robot collaborators.
Designing a secure crowd-sourced service for help during emergencies will increase bystander intervention and lower injury rates.
Developing a guide robot will allow increased physical activity and independence for people with visual impairments.
Studying dynamic behaviors of pneumatic systems will make the development of a wearable, soft-actuated, robotic knee sleeve possible.
Measuring the force basilisk lizards produce while running on water allows for better rough terrain search and rescue robots.
Calculating the ideal following distance for platooning heavy-duty vehicles will increase their efficiency.
Creating a controllable environment to monitor live cell development can lead to improved early stage disease screening.
Creating a tool to generate the most efficient aircraft wing structure will speed up the design process and make flights more efficient.
Analyzing the effect of aircraft surface roughness will inform engineers of ways to increase lift capacity and efficiency.
Designing autonomous vehicles capable of operating in uncertain environments would make search and rescue missions less risky for rescuers.
Developing coordinated groups of autonomous robots could help keep first responders safe in dangerous situations.
Studying the decay rate and life cycle of drone batteries will help educate people on how to get the most out of their batteries.
Classifying and modeling animal colony behavior can provide insight into malicious botnets and cyberattacks.
Developing bricks out of fungus would lead to a more sustainable type of building material.
Imaging an allele known as a genetic risk factor for Alzheimer’s disease will help diagnose asymptomatic individuals.
Developing a tool for simple, low-cost robot creation can make STEM education materials more accessible.
Analyzing insect nest properties will lead to strong, lightweight structural designs that use fewer natural resources.
Understanding near-field radiative heat transfer could lead to advances in microelectronics, optical data storage and energy conversion devices.
Enabling current vehicles to communicate with each other and with infrastructure can make them safer and more fuel efficient.
Developing a backpack-style harness system to help workers lift things can prevent lifelong back and hip pain.
Studying bendable organogels’ properties can lead to efficient and durable stretchable lithium batteries.
Active temperature management inside prosthetic sockets will reduce discomfort for people using lower leg prosthetics.
Using 3D printing, functional hand prosthetics will be much more affordable.
Creating an actively assisting wearable device will help people with gait disorders walk without dragging their feet.
Developing an effective algebra education app will make learning resources more accessible to underserved students.
Creating an augmented or virtual reality drone flight development and training program will save time and costs.
3D-printing scaffolds of cross-linked hydrogels and live cells will enable a better way to study stem cells for orthopedic applications.
Quantifying reasons behind ACL injuries based on sex will increase understanding help develop better rehabilitation methods.
Developing new tools to study how neurons "talk" to each other will lead to a better understanding of the brain.
Understanding how a screw-propelled rover moves in extraterrestrial environments could lead to more efficient and cost-effective designs.
Developing a blood-based tuberculosis diagnostic approach will result in rapid diagnosis and treatment monitoring.
Developing soft robotic orthotic devices would make rehabilitative devices more affordable and human-centric.
Analyzing thrust, exhaust velocity and efficiency of a thruster for small spacecraft will allow for optimization help optimize electric propulsion systems.
Investigating the educational impact of interactive student desk space will lead to more effective learning environments.
Studying materials that can be used for gas separation can lead to new industrial carbon capture methods.
Developing artificial photosynthesis can lead to higher efficiency of hydrogen energy generation and storage.
Understanding student attitudes and motivations about human systems engineering can improve classes, recruitment and retention.
Studying the capabilities of electrically powered rubber can lead to a better prosthetic foot.
Building a better model of heart tissue damage from heart attacks can help develop better treatment methods.
Exploring the properties of 2D nanomaterials could lead to new methods of energy harvesting and storage.
Creating a novel technology to listen to neurons will help in monitoring the evolution of brain diseases and treatment efficiency.
Simulating a water resource system under significant uncertainty will lead to better water management methods.
Designing a smaller diameter endoscopy probe may facilitate minimally invasive 360-degree imaging in the human body.
3D-printed concrete can create more cost-effective homes, reduce carbon dioxide footprints and revolutionize the construction industry.
Understanding the life cycle of social media bots and botnets will help defend against them.