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: Ahmed Ewaisha
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: Yan Chen
Program: MORE
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: Vincent Pizziconi
Program: MORE
Mohammed Bawareth Manufacturing engineering
Advancing resonant-assisted deposition additive manufacturing technology will greatly improve energy efficiency for metal 3D printing.
Mentor: Keng Hsu
Program: MORE
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: Xiangjia Li
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: Paulo Shakarian
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: Mike Ranjram
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: Yan Chen
Program: MORE
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: Thurmon Lockhart
Program: FURI
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: Ayan Mallik
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: Matthew Green
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: Masoud Yekani Fard
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: Marc Mignolet
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: Jeffrey Wishart
Program: MORE
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: Madeline Andrews
Program: FURI
Jacob Burrows Electrical engineering
Open-air plasma technology improves semiconductor device performance and longevity by reducing metal oxidation in printed circuit boards.
Mentor: Nicholas Rolston
Program: FURI
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: Nicholas Rolston
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: Madeline Andrews
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: Xiangjia Li
Program: FURI
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: Nicholas Rolston
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: Beomjin Kwon
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: Houlong Zhuang
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: Chris Bryan
Program: MORE
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: Paulo Shakarian
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: Yiran Luo
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: Nicholas Rolston
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: Candace Chan
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: Matthew Green
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: Ayan Mallik
Program: MORE
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: SungMin Sohn
Program: FURI
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: Xiangjia Li
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: Shahnawaz Sinha
Program: GCSP research stipend
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: Vincent Pizziconi
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: Arul Varman
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: Konstantinos Tsakalis
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: Yoon Hwa
Program: FURI
Vishal Juneja Computer science
Improving Google's AddressSanitizer, a widely used memory error detector, can make software more reliable and secure.
Mentor: Yan Shoshitaishvili
Program: FURI
Othman Ali Al-Alawi Civil engineering
Harnessing drone tech with thermal cameras can help evaluate sustainable pavement treatments' impact on heat islands.
Mentor: Hasan Ozer
Program: FURI
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: Heewook Lee
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: Shuguang Deng
Program: MORE
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: Matthew Green
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: Xiangjia Li
Program: MORE
Crislana Rafael Software engineering
Designing a digital platform will help enable student success for participants enrolled in ASU’s EASE program.
Mentor: Deana Delp
Program: FURI
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: Thurmon Lockhart
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: Masoud Yekani Fard
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: Georgios Trichopoulos
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: Beomjin Kwon
Program: MORE
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: Houlong Zhuang
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: Masoud Yekani Fard
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: Bradley Greger
Program: GCSP research stipend
Maximize Solar Power by Solar Cell Reconfiguration Circuits
Enabling reconfigurable solar arrays may reduce the effects of shading and increase solar output power.
Mentor: Jennifer Kitchen
Program: FURI
Tyler Norkus Mechanical engineering
Simulating nanoscale measurements of particles helps the semiconductor industry analyze complex data, map inclusions and improve products.
Mentor: Masoud Yekani Fard
Program: FURI
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: Kookjin Lee
Program: FURI
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: David Nielsen
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: Arul Varman
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: Nicholas Rolston
Program: FURI
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: Nakul Gopalan
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: Jessica Weaver
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: Houlong Zhuang
Program: FURI
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: Xiangjia Li
Program: MORE
Video Game-Based Domain Generalization for Computer Vision
Creating a video game-based dataset boosts adaptability in computer vision models across domains.
Mentor: Yiran Luo
Program: FURI
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: Wenlong Zhang
Program: MORE
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: Kuei-Chun (Mark) Wang
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: Nicholas Rolston
Program: GCSP research stipend
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: Houlong Zhuang
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: Heather Clark
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: Nicholas Rolston
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: Jeffrey Wishart
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: Nidhin Kurian Kalarickal
Program: MORE
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: Erica Forzani
Program: FURI
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: Nicholas Rolston
Program: FURI
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: Arul Varman
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: Yan Shoshitaishvili
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: Nicholas Rolston
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: Ariane Middel
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: Julianne Holloway
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: Heewook Lee
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: Hamid Marvi
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: Nicholas Rolston
Program: FURI
Neha Balamurugan Computer science
Researching and developing virtual reality tools can enhance learning by fostering immersive and data-driven educational experiences.
Mentor: Robert LiKamWa
Program: GCSP research stipend
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: Nicholas Rolston
Program: FURI
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: Liping Wang
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: Ahmed Ewaisha
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: Xiangjia Li
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: Nicholas Rolston
Program: GCSP research stipend
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: Andi Wang
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: Hamid Marvi
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: Peter Crozier
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: Heather Emady
Program: MORE
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: Yezhou Yang
Program: FURI
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: Paulo Shakarian
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: Wenlong Zhang
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: Houlong Zhuang
Program: FURI
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: Nicholas Rolston
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: Vincent Pizziconi
Program: MORE
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: Ariane Middel
Program: FURI
Fall 2023 projects
98 projects