Improving Succinate Production in E. coli through Substrate Channeling

Increasing carbon fixation in chemical bioproduction may provide a sustainable alternative to petroleum-based production.

Mentor:

Program: FURI

Utilizing Software Defined Radio (SDR) to Implement a Cellular System Signal Decoder

Studying the signal environment will educate people on the security of their systems and the surrounding Internet of Things.

Mentor:

Program: FURI

Optimization of Control Software for Continuous Printing of Metal with Multiple Materials Using C++

This innovation promises customizable manufacturing of applications ranging from tailored material properties to anisotropic features.

Mentor:

Program: FURI

Utilizing Neural Networks with Molecular Dynamics to Design High-Entropy Functional Alloys for Thermoelectric Technology

Graph Neural Networks can make the process of identifying high-entropy functioning alloys much easier.

Mentor:

Program: FURI

Investigating the Stability Effects of Polyvinylpyrrolidone Additive on 2D Perovskite Solar Materials

Enhancing the stability of hybrid 2D semitransparent perovskites will help make harnessing energy through solar windows a reality.

Mentor:

Program: FURI

Manufacturing engineering graduate student Mohammed Bawareth works on a MORE research project to advance the understanding of how an additive manufacturing technology that uses sound vibrations can improve the energy efficiency of metal 3D printing.

Mohammed Bawareth Manufacturing engineering

Advancing resonant-assisted deposition additive manufacturing technology will greatly improve energy efficiency for metal 3D printing.

Mentor:

Program: MORE

Civil engineering major Othman Al-Alawi works on a FURI research project to harness drones with thermal cameras to help evaluate sustainable pavement treatments' impact on heat islands.

Othman Ali Al-Alawi Civil engineering

Harnessing drone tech with thermal cameras can help evaluate sustainable pavement treatments' impact on heat islands.

Mentor:

Program: FURI

Shape Optimization of Pin Fin Array in a Cooling Channel Using Genetic Algorithm

Genetic algorithms can help optimize the performance of pin fins, which are compact heat sinks used in electronics.

Mentor:

Program: MORE

Resolution-Invariant Image Classification via Implicit Neural Representations: An Application to Medical Whole-Slide Imaging

Improving how neural networks analyze high-resolution medical images will lead to quicker, more efficient diagnoses.

Mentor:

Program: FURI

Exploration of Potential Anisotropic Optical Properties of Triclinic SiGe Lattices

The study of effective silicon photonics is a necessity for improving the operation speed of semiconductors.

Mentor:

Program: FURI

Cyber Challenges for Novice Learners

Equipping younger students with hands-on cybersecurity skills through engaging challenges fosters early interest and expertise in the field.

Mentor:

Program: FURI

Synthesis of Polymers to Make Membranes for Water Purification

Examining the applicability of functionalized polymer membranes to separate organic contaminants from water through pervaporation will help provide clean water.

Mentor:

Program: FURI

3D Printing of Membranes with Bioinspired Porous Structures for Water Treatment

Studying the 3D printing of membranes with bioinspired porous structures will assist in the development of water treatment.

Mentor:

Program: FURI

Low-Temperature Reduction of Metal Oxide Semiconductors Using Open-Air Plasma

Open-air plasma technology improves semiconductor device performance and longevity by reducing metal oxidation in printed circuit boards.

Mentor:

Program: FURI

Development of Non-Overshooting Model Predictive Control with Terminal Constraints and/or Costs

Studying the construction of Nonlinear Model Predictive Control will help improve real-time computational capabilities for fast-paced applications.

Mentor:

Program: MORE

Using Biomechanical and Physiological Parameters as a Predictive Model for Negative Postsurgical Outcomes

Applying cutting-edge nonlinear dynamic techniques will help predict whether canines will have a negative outlook following a spay/neuter surgery.

Mentor:

Program: FURI

Unraveling Speech Processing in Humans: Insights from Neural Signals

Decoding neural signals during speech to study how we process communication will help advance language, speech disorder and neurological research.

Mentor:

Program: GCSP research stipend

Accumulation of β-Ketoadipate to Create Biopolymers Using Engineered Corynebacterium Glutamicum

The research team is trying to find an organic method to produce nylons and stop the use of dangerous petrochemicals in their production.

Mentor:

Program: FURI

Promoter Engineering for the Construction of Glucose-Inducible Promoters

This research aims to create strong substrate-inducible promoters inside bacteria cells to over-express targeted proteins.

Mentor:

Program: FURI

Accelerating the Discovery of High-K Oxides for Future Generations of Semiconducting Devices through Computational Simulations

Computer simulations can enhance the discovery process of high-k oxides, which improve performance and sizing down of semiconducting devices.

Mentor:

Program: FURI

Deep Gaussian Process and Reinforcement Learning Approach to Adaptive Maintenance Scheduling in Semiconductor Manufacturing

Optimizing semiconductor production with AI-driven maintenance predictions will boost reliability, cut downtime and supercharge production.

Mentor:

Program: FURI

Metabolic Gene Expression Changes in Neural Organoids During Key Timepoints in Development

Enhancing the understanding of metabolic gene expression in neural organoids will contribute to neurodevelopmental disorder knowledge and intervention strategies.

Mentor:

Program: FURI

The Release of Alpha-Ketoglutarate from Hyaluronic Acid Hydrogels for Bone Repair Applications

Determining the release kinetics of immunomodulatory microparticles in hydrogels will be beneficial in creating solutions for bone regeneration.

Mentor:

Program: FURI

Accelerating the Discovery of High-k Oxides for Future Generations of Semiconducting Devices through Computational Simulations

Computer simulations can enhance the discovery process of high-k oxides, which improve performance and sizing down of semiconducting devices.

Mentor:

Program: FURI

Computer science major Vishal Juneja (left) works with faculty mentor Yan Shoshitaishvilli (right) on a project to improve the security and reliability of software by improving the Google error-detecting tool called AddressSanitizer.

Vishal Juneja Computer science

Improving Google's AddressSanitizer, a widely used memory error detector, can make software more reliable and secure.

Mentor:

Program: FURI

Synthesis And Characterization Of Naturally-Derived Silk Fibroin Fibers And Films For The Design Of Nonmetallic Tunable And Tissue Responsive Fixation Devices In Regenerative Surgery

The replacement of rigid surgical hardware with nonmetal tunable SF polymer composite biomaterial will help develop fixation surgical devices.

Mentor:

Program: MORE

Analysis of In Vitro Applications of Synthetic Hydrogels to Develop Characteristic Structures for Type I Diabetes Treatments

Optimized hydrogel structures can provide alternative therapy solutions for common chronic conditions like Type 1 Diabetes Mellitus.

Mentor:

Program: FURI

Characterizing Anti-Perovskite Films for Solid-State Electrolytes in Batteries

Improving upon new anti-perovskite materials will allow for the development of next generation solid-state battery technologies.

Mentor:

Program: GCSP research stipend

Effects of Lithium Carbonate on Lithium Lanthanum Zirconium Oxide Ionic Conductivity and the Adhesion Properties

Studying solid-state electrolyte batteries will help gain knowledge on how to achieve maximal energy efficiency and reliability.

Mentor:

Program: FURI

Drought Prediction Using Machine Learning

Using machine learning to predict droughts will equip communities to manage their water resources and mitigate the impacts of water scarcity.

Mentor:

Program: FURI

Identifying the Optimal Orientation for Selecting Embedding Models for TCR-Epitope Binding Affinity Prediction

Developing GPT-based protein embeddings will help determine suitable types of machine learning models for TCR-epitope binding prediction.

Mentor:

Program: FURI

Metabolic Gene Expression Changes in Neural Organoids During Key Timepoints in Development

Studying gene expression in neural organoids enhances insights into neurodevelopmental disorders and potential interventions.

Mentor:

Program: FURI

Engineering major Gwen Eging (right) works with faculty mentor Ayan Mallik (left) to design batteries that are charged by movement for applications such as wearables.

Gwen Eging Engineering (robotics)

Being able to charge electronics from medical devices to smartphones using movement could allow you to live an untethered life.

Mentor:

Program: FURI

Production of Flexible Perovskites to Characterize Their Electrical Properties Using Mechanical Strain

Studying effects of strain on perovskite will increase their application in solar panels.

Mentor:

Program: FURI

Electrical engineering major Jacob Burrows works on a FURI research project to improve semiconductor performance and longevity.

Jacob Burrows Electrical engineering

Open-air plasma technology improves semiconductor device performance and longevity by reducing metal oxidation in printed circuit boards.

Mentor:

Program: FURI

3D Printing of Membranes with Bioinspired Porous Structures for Water Treatment

Studying the 3D printing of membranes with bioinspired porous structures will assist in treatment of water.

Mentor:

Program: FURI

Energy Optimization and Scalability for a Millimeter-Wave Reconfigurable Intelligent Surface

Making a powerful, efficient reconfigurable intelligent surface will improve wireless communications without depending on the energy grid.

Mentor:

Program: FURI

An Investigation of the Effect of Storage Temperature on Secondary Battery Shelf Life

Studying the effect on battery capacity depending on its storage temperature will help people manage their batteries effectively.

Mentor:

Program: FURI

Scaling of All-Inorganic Perovskite Solar Cells through Improved Thermomechanical and Optoelectrical Stability

Engineering stability in all-inorganic perovskites will enhance the mechanical and optoelectrical properties for improved scalability.

Mentor:

Program: FURI

Dopant Distributions for Visible Light Absorption in Photocatalytic Nanoparticles

Characterizing dopant distributions in photocatalytic nanoparticles will help improve efficiencies in renewable hydrogen fuel technologies.

Mentor:

Program: FURI

Using Measurements from Canine Gait, Heart Rate Variability, and Posture as a Predictive Model for Postoperative Spay or Neuter Surgical Outcomes

Applying cutting-edge nonlinear dynamic techniques could possibly predict whether canines have a negative post-op outcome after spay or neuter.

Mentor:

Program: FURI

Developing an Assistive Education Tool for Data Visualization

Creating a beginner-friendly data visualization tool can empower everyone with better decision-making.

Mentor:

Program: MORE

Innovative Magnetic Field Design and Modulation for 3D Printing Biomimetic Microrobots with Programmable Material Distribution

The use of microrobots in the medical field is key to advancing in the area of minimally invasive and low-cost medical procedures.

Mentor:

Program: MORE

Identifying the Optimal Orientation for Selecting Embedding Models for TCR-Epitope Binding Affinity Prediction

Developing GPT-based protein embeddings can determine suitable types of machine learning models for TCR-epitope binding prediction.

Mentor:

Program: FURI

Computational Discovery of Novel Wide-Bandgap Semiconductors

Studying the optimization of Ga2O3-based semiconductors can lead to significant advancements in high-performance electronic devices.

Mentor:

Program: FURI

Ensuring Feasibility and Stability of Model Predictive Control in Nonlinear Systems with Non-Overshooting Constraints

Enhancing vehicle safety through model predictive control with non-overshooting constraints for nonlinear systems will make the systems safer and more reliable.

Mentor:

Program: MORE

Deep Learning Based Changepoint Detection for Robot Learning

Enhancing robot learning through changepoint-based task segmentation will help with applications in health care, finance and beyond.

Mentor:

Program: MORE

Maximize Solar Power by Solar Cell Reconfiguration Circuits

Enabling reconfigurable solar arrays may reduce the effects of shading and increase solar output power.

Mentor:

Program: FURI

Crislana Rafael works on a FURI research project remotely from Utah as an online student.

Crislana Rafael Software engineering

Designing a digital platform will help enable student success for participants enrolled in ASU’s EASE program.

Mentor:

Program: FURI

Multimodal Interlaminar Fracture of Soft/Hard Layered Materials

Improving the toughness of composite materials will help to improve the durability and life of such critical structures as bridges.

Mentor:

Program: FURI

Evaluation of Air Retention of 3D printed Biomimetic Super-Hydrophobic Structures

Developing innovative superhydrophobic structures by enhancing air retention properties will improve water transport, anti-icing and smart grippers.

Mentor:

Program: MORE

Analyzing Natural Silk’s Degradability: Assessing its Suitability in Engineering Fracture Fixation Devices

Investigating the degradative nature of natural silk will establish its suitability in engineering fracture fixation devices.

Mentor:

Program: FURI

Adaptive and Accessible Data Acquisition for Platform-Independent Water Quality Monitoring

Designing a universal, adaptable data acquisition device will result in more accessible and less expensive water quality monitoring systems.

Mentor:

Program: GCSP research stipend

Revolutionizing Formaldehyde Lead Halide Perovskite Solar Cells with Additive-Mediated Ion Migration Control

Mitigating ion migration in Formamidinium lead iodide perovskite cells paves the way for cost-effective, reliable solar energy.

Mentor:

Program: FURI

Synthesis of Algae-Derived MgO/Zn-Modified Activated Carbon for Nitrate and Phosphate Removal

Synthesizing sorbents from algae to perform water treatment as well as recover nitrate and phosphate will increase available drinking water.

Mentor:

Program: MORE

Propositional Logic Frameworks in Perception Tasks App

Applying logic frameworks helps accelerate and improve the performance of perception tasks where full scale training is not possible.

Mentor:

Program: MORE

3D Printing of Microrobots with Iron Hydroxide

The manufacturing of iron hydroxide helices aims to improve drug administration in patients and various methods of drug administration.

Mentor:

Program: FURI

Overexpression of Cyanobacterial Hydrogenase to Increase Biomass Productivity in the Dark

Genetically modifying cyanobacteria can make them more effective producers of a wide range of fuels and bulk chemicals.

Mentor:

Program: FURI

Simulation and Fabrication of Trench Schottky Diodes on Ga2O3 for Applications in High Voltage DC Power Conversion

Power semiconductors are new class of semiconductors with wide bandgap and excellent suitability in high-frequency applications.

Mentor:

Program: MORE

Magnetic Micro-Robots for Medical Applications

Designing and constructing magnetic robots capable of surgery, drug delivery, and various other medical procedures within the human body could improve medical diagnosis and treatment.

Mentor:

Program: FURI

Mechanical engineering major Tyler Norkus works on a FURI project to advance semiconductor knowledge by simulating what happens to different materials during the manufacturing of semiconductor devices at very small scales.

Tyler Norkus Mechanical engineering

Simulating nanoscale measurements of particles helps the semiconductor industry analyze complex data, map inclusions and improve products.

Mentor:

Program: FURI

Using Intrathecal Methods to Improve Photoacoustic Imaging of Contrast Agents in Rats

Improving preclinical neuroimaging will enable more accurate diagnoses and personalized treatment of neurological diseases.

Mentor:

Program: FURI

Optimal Pin Fin Density

Having an optimal pin fin heat sink design can solve thermal management in wind turbines and space applications.

Mentor:

Program: FURI

Deconvolution of the Mechanical Effects in Atomic Force Microscopy Material Characterization of Living Cells

The proper measurement of a biological tissue’s mechanical properties will improve modern diagnostic technics and prosthetic devices.

Mentor:

Program: FURI

Applying ChatGPT to Extract Mind Maps For Resource Evaluation

Making a tool to automatically generate mind maps for articles will help students understand them quickly.

Mentor:

Program: FURI

Utilizing a Machine Learning Algorithm for Wideband Channel Estimation and Signal Prediction

Building a database to develop a machine learning algorithm for channel estimation will allow for faster and latency-aware communications.

Mentor:

Program: FURI

An Independent Evaluation of ChatGPT on Math Word Problems

By analyzing how a language model known as GPT-3.5 solves math problems, we can better understand how it reasons.

Mentor:

Program: FURI

Revolutionizing UAV Technology: Innovative Low-Cost Design for Enhanced Data Collection and Surveillance

Creating affordable drones for better surveillance and data collection benefits indstury and makes technology accessible.

Mentor:

Program: FURI

Buck-Derived Active Buffer-Based Energy Storage System with Enhanced Reliability for Solar Microinverter

Active buffer-based energy storage system development and optimization can enhance microinverter reliability, footprint and scalability.

Mentor:

Program: MORE

Implications of Open-Air Manufacturing of Robust Perovskite Thin Films Enabled by Food Industry Additive

Engineering scalable and robust halide perovskite solar materials by adding gellan gum, a food industry additive, will advance renewable energy.

Mentor:

Program: FURI

Biomedical engineering major Ava Claire Lariego (left) works with faculty mentor SungMin Sohn on a FURI research project to develop a new material to improve magnetic resonance imaging.

Ava Claire Lariego Biomedical engineering

Designing an electromagnetic material to increase magnetic resonance image quality will refine information doctors can use to accurately examine conditions.

Mentor:

Program: FURI

Magnetic Micro-Robots for Medical Applications

Designing and constructing magnetic robots capable of surgery, drug delivery, and various other medical procedures within the human body could improve medical diagnosis and treatment.

Mentor:

Program: FURI

Synthesis of Polymers to Make Membranes for Water Purification

Examining the applicability of functionalized polymer membranes to separate organic contaminants from water through pervaporation will help provide clean water.

Mentor:

Program: FURI

Diversity Measures: Domain-Independent Proxies for Failure in Language Model Queries

By analyzing diversity measures in language models, the research team will gain greater insight into their reasoning capabilities.

Mentor:

Program: FURI

Prediction of Agricultural Droughts Using Deep Learning

Using deep learning to predict droughts will help safeguard food security and enable effective adaptation to climate change.

Mentor:

Program: FURI

Closed-Loop Control for High Frequency Variable Inductor System

Designing an effective control system for permeability modulation in high-frequency magnetic materials will enable fast-changing variable inductors.

Mentor:

Program: FURI

Video Game-Based Domain Generalization for Computer Vision

Creating a video game-based dataset boosts adaptability in computer vision models across domains.

Mentor:

Program: FURI

Scaling of All-Inorganic Perovskite Solar Cells through Improved Thermomechanical and Optoelectrical Stability

Engineering stability in all-inorganic perovskites will enhance the mechanical and optoelectrical properties for improved scalability.

Mentor:

Program: GCSP research stipend

Enhancing Arterial Tissue Digestion Methods for Deeper Insights into Arterial Disease

Isolating vascular cells from adjacent tissue scaffolds will facilitate access to study cellular expressions related to vascular diseases.

Mentor:

Program: FURI

Moisture-Swing Polymer@textile Composites for CO2 Capture

Modifying textiles with polymeric sorbents to create membranes with improved mechanical properties will advance direct air capture of carbon dioxide.

Mentor:

Program: FURI

Scaling of All-Inorganic Perovskite Solar Cells through Improved Thermodynamic and Mechanical Stability

Engineering stability in all-inorganic perovskites will enhance the mechanical properties of perovskites for improved scalability for the solar energy industry.

Mentor:

Program: FURI

Applying ChatGPT to Extract Mind Maps For Resource Evaluation

Making a tool to automatically generate mind maps for articles will help students understand them quickly.

Mentor:

Program: FURI

Extracting Mass Moments of Inertia of Non-Uniform Objects Using a Trifilar Pendulum

Teaching students unique ways of measuring material properties using a modified pendulum that twists will encourage creative thinking.

Mentor:

Program: FURI

Investigating Barrier Properties of Laminate Packaging Materials for Flexible Batteries

Studying the seal strength of flexible battery packaging materials at different conditions will help effectively supply power in wearable devices.

Mentor:

Program: FURI

Computer science major Neha Balamurugan works in the Dreamscape Learn facilities on a FURI project to use virtual reality for better data visualization.

Neha Balamurugan Computer science

Researching and developing virtual reality tools can enhance learning by fostering immersive and data-driven educational experiences.

Mentor:

Program: GCSP research stipend

Ketone Analysis Through Non-Invasive Skin Biosensor

Designing a sensor for the analysis of acetone expelled through skin will create a continuous and non-invasive alternative to measure ketone levels.

Mentor:

Program: FURI

Multimodal Self-Supervised Approach to Text-to-Music Generation

Connecting two distinct modalities of text-to-music will help Large Language Models learn to generate music from text.

Mentor:

Program: FURI

Open Air Plasma Sintering of Lithium Lanthanum Titanate (LLTO) Solid Electrolyte

Exploring the interactions of novel proteins in crop plants can lead to higher yields, ensuring food security for growing populations.

Mentor:

Program: FURI

Multimodal Interlaminar Fracture of Soft/Hard Layered Materials

Improving the toughness of composite materials will help to improve the durability and life of the critical structures that utilize them.

Mentor:

Program: FURI

Autonomous Vehicle Simulation Scenarios

Developing simulation scenarios for automated vehicles with animal and pedestrian road actors and collecting metrics will help assess vehicle safety.

Mentor:

Program: FURI

Scenario-Based Testing and Driving Assessment Metrics Validation

Scenario-based testing in a safety case framework ensures the safe deployment of automated vehicles on public roads and increases public trust.

Mentor:

Program: MORE

Surface Effects Mapping of a Multirotor in Close Proximity to the Ground, Ceiling, and Walls

Modeling surface effects will help users of unmanned aerial vehicles to plan energy-efficient paths while minimizing collision risks.

Mentor:

Program: MORE

Real-Time Force and Moment Feedback of a Hexarotor Drone

Modeling the force and torque of hexarotor drones will help assist aerial manipulators in interaction tasks.

Mentor:

Program: FURI

Video Game-Based Domain Generalization for Computer Vision

Creating a video game-based Domain Generalization dataset helps improve the robustness of domain-agnostic computer vision models.

Mentor:

Program: FURI

Synthesis and Processing of Hydroxyapatite Thin Films and Coatings for Translational Orthopaedic Surgical Implant Applications

Developing an advanced regenerative biomaterial to replace metal surgical hardware will enhance bone fracture healing and improve patient functionality.

Mentor:

Program: MORE

Lithium-Ion Battery Degradation and State of Health Evaluation for Second-Life Applications

Understanding the degradation of lithium-ion batteries and assessing their state of health is a fundamental step in identifying potential applications for their reuse.

Mentor:

Program: FURI

A Quantitative Study on the Effect of Rotation Rate on Radiation Heat Transfer in a Rotary Drum

Examining heat transfer rates in rotary drums can enable more energy-efficient industrial processes.

Mentor:

Program: MORE

Effects of High Temperature Annealing on VO2 Phase Transition Temperature

Lowering the transition temperature of VO2 by high temperature annealing could make it a more effective thermal control.

Mentor:

Program: FURI

Fall 2023 projects

98 projects