Artificial Intelligent Materials Crystal Classifier (A.I.- MC2)

Developing a machine learning program for X-ray diffraction data can vastly enhance material classification in research and development.

Mentor:

Program: FURI

Using Load Management to Charge Electric Vehicles with Solar Power

Improving a load-management system to connect solar power and electric vehicles will foster sustainable transportation.

Mentor:

Program: FURI

Electrochemical Reduction of Nitrates for Algal Growth

Nitrates in urban wastewater may be converted to ammonium through electrochemical reduction to grow microalgae to use as a bio-fertilizer.

Mentor:

Program: FURI

Spatiotemporally Programmable Surfaces

The understating of spatiotemporal programable surfaces will lead to advancements in the field of soft robotics.

Mentor:

Program: FURI

Aluminosilicate Glass Micropipettes for Fluorescence-Guided Electrophysiology System

Aluminosilicate micropipettes can offer a wider range of geometries to increase the compatibility of fiber optics.

Mentor:

Program: FURI

Benchmarks for Large Language Model Agents in Mixed Autonomy Traffic

Developing and benchmarking large language model agents for mixed traffic could help reduce congestion, cut emissions, and enhance urban safety and efficiency.

Mentor:

Program: FURI

Verification Code Generation in the Hardware Description Language Verilog

Using large language models for verification code generation in Verilog for integrated circuit designs will shorten testing and remove roadblocks.

Mentor:

Program: FURI

Design and Development of a Worm-like Jumping Robot Powered by Twisted and Coiled Actuators

Engineering a soft jumping robot inspired by gall midge larvae can help navigate difficult terrains and enhance search and rescue operations.

Mentor:

Program: MORE

Soft Strain Sensor for Human Motion Measurement

Creating wearable hydrogel sensors to reduce lag and offer precise real-time tracking of human motion.

Mentor:

Program: FURI

Wireless Communications Dataset Generation for Device-to-Device Communication

Developing accurate channel prediction models will optimize wireless communications and enhance network performance.

Mentor:

Program: FURI

How Can Artificial Intelligence and Physical Metrics Improve Mental Health Care?

This study aims to make mental health care more accessible, effective and affordable by using AI, physical signs and therapy techniques.

Mentor:

Program: FURI

Pyrolysis of Waste Plastics Mixed with ZSM-5 Catalyst

Converting waste plastics into energy is the best way to prevent plastic degradation in landfills and protect the environment from pollution.

Mentor:

Program: FURI

Design and Characterization of a 3D Printed, Highly Back-Drivable Cable-Driven Actuator for Gait Rehabilitation

This study aims to provide design and scalability guidelines to treat gait deficits such as ankle buckling and reduced walking speed.

Mentor:

Program: FURI

The Use of SnO2 and TiO2 as Photocatalysts to Compare Against Chloroplast for the CO2 Reduction Process

Using tin oxide as photocatalysts to reduce carbon dioxide through a reduction process and compare it to the efficiency of chloroplast.

Mentor:

Program: FURI

Leveraging Hybrid Cell Membrane Cloaking for Minimizing Nanoparticle Phagocytosis

Developing hybrid membrane-coated nanoparticles to reduce phagocytosis might improve targeted delivery for cardiovascular disease treatment.

Mentor:

Program: FURI

Building YMS (Yard Management System) using Machine Learning and Optical Character Recognition Technology

Automating yard management with machine learning and optical character recognition reduces gate congestion, improves efficiency and enhances logistics tracking.

Mentor:

Program: FURI

Solar Powered Reconfigurable Intelligent Surface (RIS)

Designing a solar power system to make reconfigurable intelligent surfaces more scalable, sustainable and implementable.

Mentor:

Program: FURI

Ag Nano Fern Cu Supported Bimetallic Electrocatalyst for Ammonia Electrogeneration from Nitrate Pollution

Cu/Ag bimetallic electrocatalyst can convert toxic nitrate pollution into highly profitable ammonia via an electrochemical pathway.

Mentor:

Program: FURI

Multiple Impact Effect of Cavitation in Soft Gels

Studying the multiple impact effect in soft gels to better understand the tissue mechanics behind traumatic brain injuries.

Mentor:

Program: FURI

Open-Air Plasma Treatment for Sintering and Curing of Lithium-based Perovskite Films

Studying how plasma treatment can improve the production of solid electrolytes will facilitate development of safer and better batteries.

Mentor:

Program: FURI

Improving Hardware Verification Coverage using LLMs

Integrating fine-tuned large language models in hardware verification automates testbench creation, cuts resources and speeds up the verification process.

Mentor:

Program: FURI

Analysing Molecular-Level Methanol Adsorption Dynamics on Zeolite-Based Catalysts using Solid-State NMR

This research aims to decipher nanostructured zeolite catalysts for cleaner fuel production.

Mentor:

Program: MORE

Validating Impedance Control to Prevent Ankle Buckling using Cable-Driven Exoskeleton

The results of this study will aid in developing devices and new controllers for exoskeletons to prevent ankle sprains affecting two million people.

Mentor:

Program: MORE

Preparation of 3D in vitro Models with Predictable Oxygen Distribution

Using MRI techniques to map oxygen levels in cells will help improve understanding and treatments for diseases like cancer and stroke.

Mentor:

Program: FURI

An ASU FURI student looks at a beaker.

Solenne Norvor-Davis Biomedical engineering

Expediting the wound healing process reduces the burden on health care systems, enhances patient quality of life and lowers complications.

Mentor:

Program: FURI

Strengthening Chloroplasts Through Polymerization Pathways

Using self-repairing hydrogels and glucose to lengthen the lifespan of chloroplasts can utilize atmospheric CO2 and decrease global warming.

Mentor:

Program: FURI

Next-Gen Immunotherapies: Analysis of Large TCR Repertoires to Create a TCR Cluster Benchmark Using the catELMO Embedding Technique

Developing a machine learning technique for clustering large-scale empirical tokenized host-pathogen interaction datasets to advance cancer immunotherapy.

Mentor:

Program: FURI

Characterization of Diclofenac-Loaded Nanoparticles for Neutrophil Modulation

Studying the effect of diclofenac-loaded nanoparticles on neutrophils to advance nanoparticle-based treatments for traumatic brain injury.

Mentor:

Program: FURI

Comparative Study of Sodium, Magnesium, and Calcium Perchlorate Reduction by Microbial Cultures for Bioweathering of Martian Regolith

Studying the effects of salt on reducing toxic perchlorate in Martian regolith will help facilitate plant growth on Mars.

Mentor:

Program: FURI

Comparing Lithium and Sodium-Ion Battery Degradation Using Non-Destructive X-Ray Scans

The objective of this research is to understand the behavior of lithium-ion and sodium-ion batteries at low temperatures through metrics like capacity.

Mentor:

Program: FURI

Flat Punch vs Spherical Indenter Probes for Fracture Testing of GaAs Single Crystals Utilized in Microelectronics and Semiconductor Industries

Investigating the effects of diverse nanoindentation probes can enhance the reliability and sustainability of semiconductor materials.

Mentor:

Program: FURI

Studying the Relationship Between Flexibility and Efficiency of Thin Film CdTe Photovoltaic Devices

Understanding the relationship between mechanical and electrical properties will aid the design process of thin film photovoltaic devices.

Mentor:

Program: FURI

Tetrafluoromethane Adsorption on FAU Framework Zeolites – a Molecular Dynamics and Grand Monte Carlo Study

Making the removal of tetrafluoromethane easier will help to make the manufacturing of silicon more sustainable and less expensive.

Mentor:

Program: FURI

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

Developing a sustained metabolite particle treatment to enhance bone repair and limit the side effects associated with current treatments.

Mentor:

Program: MORE

Development of a Novel Multimetal 3D Printer via Mask Image Projection Based Vat Photopolymerization

Developing a 3D printer capable of printing multi-metal structures will increase design flexibility.

Mentor:

Program: FURI

Improving Perovskite Solar Cell Stability through Additives and Quenching

Improving the stability of perovskite solar cells provides greater commercial potential for this cost effective renewable energy source.

Mentor:

Program: FURI

Metabolic Enhancements for the Photosynthetic Production of Sorbitol in Cyanobacteria

Metabolic engineering of the Calvin-Benson cycle in cyanobacteria can improve carbon-neutral sorbitol production.

Mentor:

Program: FURI

Use of Glow Discharge Optical Emission Spectroscopy to Quantify Thermal Re-distribution of Iodine and Lead in Metal Halide Perovskite Films

Studying the ionic behavior of perovskite materials will help us to understand its degradation process and design for better lifetime.

Mentor:

Program: Guest Researcher

Generative AI-Aided Navigation for the Visually Impaired and Blind

Exploring Vision Language Models’ potential as tools for the visually impaired and blind to increase independence and safe navigation.

Mentor:

Program: FURI

Urea formaldehyde polymerization

The findings have the potential to reduce carbon emissions, global warming and create new materials for the construction.

Mentor:

Program: FURI

Automated Neural Architecture Search for Resource-Constrained Environments

Developing efficient neural architectures for resource-constrained devices enhances mobile computing, Internet of Things and edge computing accessibility.

Mentor:

Program: FURI

Control System for a 3D-Printed Pneumatic Gripper

Using Arduino and pneumatic controls to replicate human hand movement to allow for advanced manipulation.

Mentor:

Program: FURI

Metal Consolidation through Converging Acoustic Sources

Developing a supportless, highly recyclable metal additive manufacturing method will allow for environmental and economic improvements.

Mentor:

Program: FURI

Deconvolution of Atomic Force Microscopy Data from the Effects of Destructive Indentation and Rigid Body Motion of Embedded Particles in Heterogeneous Systems

Furthering the advancement of atomic force microscopy will assist scientists in making discoveries in medicine, advanced materials, semiconductors and more.

Mentor:

Program: FURI

Synthesis of Hydroxyapatite Bone Mineral from different Calcium and Phosphate Precursors Via Sol-Gel Chemistry For Conformal Orthopedic Implant Coatings

Synthesizing hydroxyapatite from sol-gel chemistry to use as an implant coating for bone tissue integration will improve adhesion.

Mentor:

Program: FURI

A Multi-Pronged Approach to Understanding Environmental Stability Challenges in Perovskite Photovoltaics

Exploring the effects of UV radiation on perovskite photovoltaics will help determine their potential use in space applications.

Mentor:

Program: FURI

Two ASU students work on a laptop together.

Alexander Ng Computer science

Current AI is limited to being black-boxes. If we can generate understandable code, we can then use it to advance AI in security contexts.

Mentor:

Program: FURI

Fabrication of Anisotropic Resin Polarizers with Liquid Crystal via Vat Photopolymerization for Enhanced Optical Steganography

Optimizing liquid crystal resin polarizers for optical steganography improves message security and accessibility, advancing data privacy.

Mentor:

Program: FURI

Optimizing the Efficiency and Performance of DC/DC Power Electronic Converters

Assessing DC/DC power electronic converter control strategies is essential to solving problems related to inductance regulation.

Mentor:

Program: FURI

Mesh Based Machine Learning Algorithms for Use in Deforming Solids Simulations

Studying the effectiveness of machine learning networks in allowing for quicker computations of soft material deformations and motion.

Mentor:

Program: FURI

Immunomodulatory Trophoblast-derived Extracellular Vesicle (EV) Release from Polyethylene-glycol (PEG) Hydrogels

Extracellular vesicles are believed to contain tolerogenic immunomodulatory factors that can be used to prevent cell-transplant rejection.

Mentor:

Program: GCSP research stipend

Integration of Virtual and Augmented Reality with Nanoscale Data Visualization for Enhanced Semiconductor Manufacturing

Virtual reality and augmented reality will improve fault detection and quality control in semiconductor manufacturing, leading to more efficient advanced technology production.

Mentor:

Program: FURI

Design, Contact Modeling, and Collision-Inclusive Planning of a Dual-Stiffness Aerial RoboT (DART)

An aerial robot capable of navigating safely and efficiently through cluttered environments is invaluable for collecting critical data.

Mentor:

Program: MORE

Evaluating the Flexibility and Durability of MAPbI3 Perovskite Films on Plastic Substrates with Natural Polymer Additives

Enhancing the morphology and durability of MAPbI3 perovskite films on flexible substrates can lead to more robust and scalable perovskite solar cells.

Mentor:

Program: FURI

Advancing Wireless Network Efficiency with a Hierarchical Beam Search Algorithm for RIS-Enabled mmWave Systems

The development of an energy-efficient Reconfigurable Intelligent Surface prototype will significantly enhance the energy efficiency of mmWave-based wireless networks.

Mentor:

Program: FURI

Computing the Optimal Transport Map Between Probabilistic Circuits

Tractable computation of statistical distance metrics allows for theoretical guarantees on the robustness of machine learning models.

Mentor:

Program: FURI

Silk Fibroin (SF) and SF-Bioceramic Nanobiocomposite Scaffolding Fabricated via Electrospinning for Regenerative Medicine

Regenerative medicine is a field that holds the promises of life, treatment and discovery for the future.

Mentor:

Program: FURI

Tin-Based Perovskites Nontoxic Alternative for Solar Energy Production

Exploring low-toxicity ink-based perovskites for solar energy in buildings can advance sustainability while reducing environmental impact.

Mentor:

Program: FURI

3D Printed Auxetic Honeycombs: Investigation of Fatigue Behavior and Interface Characteristics in Fiber-Reinforced Metamaterials

Improving the performance of 3D printed materials will help them be used in a wide range of industries.

Mentor:

Program: FURI

An ASU FURI student and mentor discuss water-related research.

Antonio Blair Civil engineering

Studying the effects of best management practices will help determine the most efficient ways to mitigate water quality impacts.

Mentor:

Program: FURI

Enhancing Cyanobacterial L-Alanine Production via Nutritional and Process Optimization

Improving the biosynthesis of L-Alanine by autotrophic cyanobacteria will lead to more sustainable methods of chemical production.

Mentor:

Program: FURI

An ASU FURI student works in the lab.

Arick Nitzsche Manufacturing engineering

This research aims to speed up 3D printing and allow for the creation of more complex objects made from different materials at once.

Mentor:

Program: FURI

Bio Stimulation of Fungi-Mycelium Create a Natural Geotextile Capable of Mitigating Post-Wildfire Soil Erosion

Bio-stimulating fungi growth in wildfire-affected soils provides a cost-effective and sustainable way to mitigate soil erosion.

Mentor:

Program: FURI

Understanding the Root Causes for catELMo’s Superior Performance Embedding T-Cell Receptors With Respect to the Downstream TCR-Epitope Binding Affinity Prediction Task

Studying embedding techniques for T-cell receptors will enable the recommendation of embedding methods for other types of biological data

Mentor:

Program: FURI

Multi-Modal Learning for Enhanced Ocular Disease Detection Using Visual Question Answering

Enhancing eye disease diagnosis by integrating image analysis and Q&A models can improve early detection in underserved areas.

Mentor:

Program: MORE

Electrospun Fabrication and Characterization of Sericin Biopolymer Scaffolds for Bone Tissue Regenerations

Analyzing the regenerative potential of sericin using biocompatibility studies for breakthrough applications in wound healing.

Mentor:

Program: GCSP research stipend

Fiber Reinforced Pneumatic Twisted-and-Coiled Actuators with High Efficiency and Low Actuation Pressure

Studying pneumatic artificial muscles can reduce energy usage and enable untethered soft robots for exploration in hazardous environments.

Mentor:

Program: MORE

Understanding Stress Induced During Cognitive Testing by Analyzing Salivary α -Amylase In 65 And Older Population

By understanding anxiety induced by cognitive testing, providers can effectively implement regular testing during routine medical visits.

Mentor:

Program: FURI

Optimizing Motion Paths in Physical Work: Integrating Task-Related and Environmental Constraints

Optimizing motion paths of physical work will simultaneously enhance worker productivity and safety while reducing task development costs.

Mentor:

Program: FURI

Reduction of CO2 Using Tin Peroxide

Plants are multicellular organisms that use CO2 to provide us the air to breathe and stay alive.

Mentor:

Program: FURI

Thermal Diffusivity of Metallic Material at Different Phases

Diffusivity of material used in implants is a critical factor when using additive manufacturing processes to build these implants.

Mentor:

Program: FURI

An ASU FURI student works in the lab.

Chloe Stoops Aerospace engineering

Studying variable emittance coatings in cold space environments will optimize thermal control energy use, improving spacecraft efficiency.

Mentor:

Program: FURI

Tuning Polyoxometalates to Create Ideal Photocatalysts for Carbon Fixation

Finding optimal catalysts that increase the efficiency of carbon sequestration will help lower the amount of atmospheric CO2.

Mentor:

Program: FURI

The Use of POMs in Photocatalytic CO2 Reduction

Studying the use of photocatalysts and their use in aiding CO2 reduction to reduce greenhouse gas emissions.

Mentor:

Program: FURI

Deconvolution of Atomic Force Microscopy Data from the Effects of Destructive Indentation and Rigid Body Motion of Embedded Particles in Heterogeneous Systems

Furthering the advancement of atomic force microscopy will assist scientists in making discoveries in medicine, advanced materials, semiconductors and more.

Mentor:

Program: FURI

ESHA: Enhanced SHopping Assistance

Revamping e-commerce searches to make shopping quicker, easier and more tailored, boosting user satisfaction and sales.

Mentor:

Program: FURI

Practical Collaborate Framework Using Aerial Vehicle for Improved Surveillance

Implementation of an unmanned aerial vehicle (UAV) in connection with a convoy of ground vehicles will help improve object detection accuracy.

Mentor:

Program: FURI

Analyzing Single-Cell RNA Sequencing Data to Classify Cell States

The ccAF cell cycle classifier uses single-cell RNA-sequencing data to enhance understanding of disease mechanisms and pathobiology.

Mentor:

Program: FURI

Efficient Identification of Adaptive Therapy Routines for Cancer using Evolutionary Search

Using genetic algorithms and cancer simulation to efficiently explore large spaces of adaptive therapy regimens for further clinical trials.

Mentor:

Program: FURI

3D Printed Auxetic Honeycombs: Investigation of Fatigue Behavior and Interface Characteristics in Fiber-Reinforced Metamaterials

Improving the performance of 3D printed materials will help them be used in a wide range of industries.

Mentor:

Program: FURI

Enhancing Cyanobacterial L-Alanine Production via Nutritional and Process Optimization

Improving the biosynthesis of L-Alanine by autotrophic cyanobacteria will lead to more sustainable methods of chemical production.

Mentor:

Program: FURI

An ASU FURI student works in the lab with his mentor.

Daniel Eduardo Abreu Electrical engineering

This research will help find a new way to interpret and understand material diffusion throughout semiconductor devices.

Mentor:

Program: FURI

Geoengineering on the Polar Ice Sheet in a Changing Climate

Calculating the effectiveness of a tipping point in the ever-changing climate and proposing ideal solutions to halt or slow down the events.

Mentor:

Program: FURI

Leveraging Hybrid Cell Membrane Cloaking for Minimizing Nanoparticle Phagocytosis

Developing hybrid membrane-coated nanoparticles to reduce phagocytosis might improve targeted delivery for cardiovascular disease treatment.

Mentor:

Program: FURI

Chiral Crushing: A Numerical Analysis of Auxetic Chiral Lattice Structures In Compression

Auxetic structures are a revolutionary material, but the scientific community doesn’t know how auxetics behave with repeated loading.

Mentor:

Program: FURI

Integrating a Combinational Antisolvent and Gas Quenching Technique for Large-area Perovskite Solar Cell Fabrication

A combined solvent and air quench approach allows for blade coating large areas of perovskite solar cells, improving commercial viability.

Mentor:

Program: FURI

Improving YOLOv8 Transferability via Model Fine-Tuning with Domain-Specific Manufacturing Data

Fine-tuning YOLOv8 with manufacturing data improves crack detection, boosting model transferability across diverse industrial applications.

Mentor:

Program: MORE

Disambiguating Human Language in Large Language Models and Analyzing its Effect to Improve NLP Task Accuracy

Helping AI comprehend ambiguous human text will make it more reliable and effective in conversations and critical tasks alike.

Mentor:

Program: FURI

Optimization of AFM Probes for More Accurate Characterization of Nano-Materials

Optimizing atomic force microscopy probes allows them to characterize nano-materials with a higher degree of accuracy while also improving the resolution.

Mentor:

Program: FURI

Integration of Virtual and Augmented Reality with Nanoscale Data Visualization for Enhanced Semiconductor Manufacturing

Virtual reality and augmented reality will improve fault detection and quality control in semiconductor manufacturing, leading to more efficient advanced technology production.

Mentor:

Program: FURI

Diamond Static Induction Transistors

Diamond static induction transistors will achieve higher output power than the leading technology at high-frequency, very-high-frequency and ultra-high-frequency bands.

Mentor:

Program: FURI

Assessing the Dynamics of Microbial Sulfate and Perchlorate Reduction in Environments Relevant to Mars

Exploring sulfate's impact on microbial perchlorate reduction in Martian regolith will help interplanetary exploration and bioremediation.

Mentor:

Program: FURI

Content Generation

Helping content creators come up with topic ideas.

Mentor:

Program: FURI

Measuring the Local Strain During Tensile Testing of Electrospun Fibrous Mats for Tissue Engineering Applications

Using electrospun scaffolds to direct stem cell behavior for tissue engineering purposes has the potential to enhance healing post-injury.

Mentor:

Program: FURI

Variable Inductor Controlled by Piezoelectric Actuation

Using piezoelectric actuation to control variable inductors will help produce precise, DC voltage-controlled inductors.

Mentor:

Program: FURI

Dynamic Surface Model

Designing a mechanism with variable geometry to study boundary layer effects will enable fast-paced and cost-effective testing methods.

Mentor:

Program: FURI

GCSP research stipend student Sofia Vargas works on a laptop.

Sofia Vargas Computer science

A computer program will use graph coloring algorithms to determine where captive bred endangered species should be reintroduced to the wild.

Mentor:

Program: GCSP research stipend

Control System for a 3D-printed Pneumatic Gripper

Using Arduino and pneumatic controls to replicate human hand movement to allow for advanced manipulation.

Mentor:

Program: FURI

Prediction of New Methane-Capture Materials Using Large Language Models

Development of efficient methane-capture materials will mitigate global warming trends by removing a gas that traps 28 times more heat than CO2.

Mentor:

Program: FURI

Optimizing Earth Science Observations: Developing Reinforcement Learning Techniques for Autonomously Determining Priority Observations in a Dynamic Environment

Developing a reinforcement learning model for satellites to accurately prioritize observations in areas with convective precipitation storms.

Mentor:

Program: FURI

MORE student research Devanshi Tushar Prajapati works on research with her faculty mentor.

Devanshi Tushar Prajapati Software engineering

Enhancing coding through student work analysis will empower instructors to teach industry practices and prepare students for jobs.

Mentor:

Program: MORE

Functionalization of Citrus Pectin as a Green Corrosion Inhibitor for Gas Pipelines

Citrus pectin is an eco-friendly corrosion inhibitor that reduces metal corrosion costs while providing a non-toxic prevention method.

Mentor:

Program: FURI

Real-time Dynamics and Control of Soft Robots with Physics-informed Dynamic Mode Decomposition

Taking advantage of governing physical equations enables more efficient and effective data-driven control of soft robots.

Mentor:

Program: FURI

Sustainable Polyurethane Coatings From Polyurethane Waste

Converting waste polyurethane materials into durable topcoats and sealants to reduce environmental and human health hazards.

Mentor:

Program: MORE

Modification of SnO2 for the Photocatalytic Reduction of Atmospheric CO2

Studying tin oxide as a semiconductor that uses sunlight to efficiently convert atmospheric carbon dioxide into useable high-value products.

Mentor:

Program: FURI

Utilizing Artificial Intelligence in Early Detection of Mental Health Disorders: Leveraging Machine Learning and Natural Language Processing Techniques

Leveraging the power of artificial intelligence and machine learning for early detection of mental health disorders can facilitate timely intervention, fundamentally enhancing lives.

Mentor:

Program: FURI

An ASU FURI student works in the lab.

Emily Parkerson Aerospace engineering

A personal biometeorological station to measure extreme human heat exposure can improve health by enabling informed behavioral decisions.

Mentor:

Program: FURI

Metasurfaces for Sensing Applications

This research can improve the health and safety industry by providing non-invasive solutions that do not impede on people's privacy.

Mentor:

Program: FURI

An ASU FURI student works in the lab with his mentor.

Raj Kodithyala Engineering (robotics)

Understanding the movement of soft robotic arms will improve safety and usability in human-robot interactions across various industries.

Mentor:

Program: FURI

Microaerobic Tolerance and Growth Analysis of Organohalide-Respiration and Uranium-Reducing Geobacter lovleyi Strain SZ

Studying Geobacter lovleyi's oxygen tolerance to optimize remedial strategies will help provide cleaner water, healthier soil and improved public health.

Mentor:

Program: MORE

Synthesis of Novel Depolymerizable Supramolecular Polyethylene

Incorporating chemically degradable segments into polyethylene so that it is chemically recyclable.

Mentor:

Program: FURI

Simulating Battery Degradation with PyBaMM for Efficient Data Generation

Using PyBaMM to simulate battery behavior saves time and money, enabling better battery designs.

Mentor:

Program: FURI

Incorporating Sleep Biology into AI: Enhancing Learning in Artificial Neural Networks

By studying sleep patterns in bees, this project aims to create AI systems that learn better and adapt quickly, improving the technology.

Mentor:

Program: GCSP research stipend

Enhancing Molecular Robot Algorithms for DNA-Based Cargo Sorting Using DNA-PAINT Imaging

Analyzing the interactions and movements of molecular robots will help refine algorithms for DNA-based cargo sorting.

Mentor:

Program: GCSP research stipend

4D Printed Structures with Tunable Surface Roughness based on Hygro-responsive Polymer and Vat Photopolymerization

Design and fabricate a structure capable of dynamically interacting with its surroundings through adjustable surface roughness.

Mentor:

Program: FURI

The Use of POMs in Photocatalytic CO2 Reduction

Studying the use of photocatalysts and their use in aiding CO2 reduction to reduce greenhouse gas emissions.

Mentor:

Program: FURI

Advancing Solar Energy Technology by Predicting Figure of Merit

Improving solar generators by predicting efficiency will optimize energy conversion through various mineral combinations.

Mentor:

Program: FURI

Building YMS (Yard Management System) using Machine Learning and Optical Character Recognition Technology

Automating yard management with AI improves efficiency but raises concerns about job displacement in logistics.

Mentor:

Program: FURI

Electrochemical Reduction of Nitrates for Algal Growth

Nitrates in urban wastewater may be converted to ammonium through electrochemical reduction to grow microalgae to use as a bio-fertilizer.

Mentor:

Program: FURI

Azide-PEG-SG Hydrogel Characterization through Rheological Assessments

Synthetic hydrogels are promising vehicles for trophoblast derived tolerogenic extracellular vesicles for applications in cell therapies.

Mentor:

Program: FURI

Enhancing Telepresence in Human-Robot Interaction through Depth Sensing and Augmented Reality

Enhancing robot depth perception will enable safer and more precise remote control, benefiting industries from health care to manufacturing.

Mentor:

Program: MORE

Using MRSI to Determine the Chemical Signatures of Hyperintensities

Using MRSI and MRI to determine the location of hyperintensities in various disease models will allow for earlier detection and treatment.

Mentor:

Program: FURI

Improving Hardware Verification Coverage using LLMs

Integrating fine-tuned large language models in hardware verification automates testbench creation, cuts resources and speeds up the verification process.

Mentor:

Program: FURI

Enhancing CO2 Reduction and Lifespan of Chloroplasts through Encapsulation and 3D Scaffolding

To effectively harness chloroplasts outside of plant cells for CO2 reduction, encapsulation and 3D scaffolding.

Mentor:

Program: FURI

Accelerating the Engineering of Cyanobacteria via recJ Knockout for D-lactate Production

Exploring the effect of recJ deletion in cyanobacteria on their ability to uptake genes for D-lactate synthesis.

Mentor:

Program: FURI

Adaptable Resistance Measuring Chamber for In Vivo Translation of Integrated Micropipette System

Designing a method for alignment of the micropipette and fiber optic system will enable the expansion of the tool to additional settings.

Mentor:

Program: FURI

TCAD Simulations Aided by Physics-Informed Neural Networks

Using physics-informed neural network aided by TCAD simulation data will free up computational resources and runtime.

Mentor:

Program: FURI

LLM-Multimodal Misinformation Detection

Analyzing discrepancies between AI-generated text and photos can improve the detection of fake news created by AI.

Mentor:

Program: FURI

Fall 2024 projects

130 projects