Machine Learning on Embedded Systems to Assess Correct Form During Weight Training

This research harnesses machine learning to make weight training safer and more effective, potentially transforming fitness practices.

Mentor:

Program: FURI

Robot Learning with Adverbial Corrections

Developing robots that adapt to commands like "move faster" make them intuitive, helpful companions in daily life.

Mentor:

Program: MORE

Developing More Stable and Efficient FAPbI3-based Perovskites

Improving performance and stability of formamidiniun lead iodide based perovskites to manufacture a low-cost and stable alternative to silicon solar panels.

Mentor:

Program: FURI

Processing and Characterizing Flexible Perovskite Solar Modules for Lunar Applications

Innovating flexible perovskite solar modules will revolutionize space missions, advancing renewable energy for sustainable exploration.

Mentor:

Program: FURI

Engineering C. glutamicum to Improve b-ketoadipate Pathway Productivity

Engineering C. glutamicum with the ultimate goal of enhancing the microbial utilization of lignin-derived substrates.

Mentor:

Program: FURI

TCAD Simulation of Diamond Static Induction Transistors for Radio Frequency Power Amplifiers

Vertical diamond static induction transistors can offer five times higher output power at ultra-high and S-band frequencies for future radar and communication systems.

Mentor:

Program: FURI

Estimating Joint Parameters and Manipulation Order of Multi-DoF Objects for Robot Manipulation

Designing a computational pipeline for learning the joint parameters and manipulation order of novel objects via human demonstration.

Mentor:

Program: MORE

Understanding Neuroinflammation in Neurodegenerative Diseases using a Contrastive Learning Approach on MRSI Data

Studying inflammation patterns in neurodegenerative diseases using advanced imaging and AI could revolutionize early diagnosis and treatment.

Mentor:

Program: FURI

Unified Frenet Frame Motion Planning Based Framework for Social Navigation

Improving autonomous vehicle and human interaction using game theory, Monte Carlo Tree Search, value alignment and predictive planning for decision-making.

Mentor:

Program: MORE

MORE student researcher Rohit Menon is using the 5G communication network to create a system that can control an off-road vehicle remotely with high precision.

Rohit Menon Robotics and autonomous systems

Using a 5G network to create a system to control an off-road vehicle from miles away would help provide the precision as if you were right behind the wheel.

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Program: MORE

The Incorporation of Electric Vehicle Chargers with Photovoltaic Systems through Load Management

Designing a load management system to integrate solar power into electric vehicle chargers will improve green transportation.

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Program: FURI

Effects of High Temperature Annealing on Tungsten-doped 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

Development of a Modular Actuator for Hip and Ankle Joint

Developing a modular actuator (device) for hip and ankle joints to control and assist in respective movements.

Mentor:

Program: MORE

FURI student researcher Jenna Jae Eun Lee is creating a motion-detection camera system that could help stop swerving drivers.

Jenna Jae Eun Lee Computer science

Designing a motion-detection camera to specifically capture the swerve motions of vehicles could help increase driver accountability.

Mentor:

Program: FURI

Understanding Chiral Material Systems by Synthesizing and Characterizing Vibrational Properties of Single-Crystal InSeI

Characterizing single-crystal InSeI will help understand chiral material systems and their properties, which may benefit the semiconductor industry.

Mentor:

Program: FURI

Utilizing Substrate Specific Polyol Phosphatases for Enhanced Photosynthetic Sorbitol Production in Cyanobacteria

Improving the sorbitol biosynthetic pathway in a microorganism will help develop a sustainable and environmentally friendly method to produce a sugar alcohol for food, cosmetics and pharmaceuticals.

Mentor:

Program: FURI

Engineering a Microbial Chimera for Biosynthesis of Green Solvents

Engineering a microbial chimera to produce green solvents alleviates the strain petrochemical usage has on our environment.

Mentor:

Program: MORE

Effects of Parkinson’s Disease and a Secondary Cognitive Task on Postural Sway and Reactive Balance

Studying the impact of external stress on the balance of Parkinson’s disease patients allows for better development of treatments.

Mentor:

Program: FURI

Gas Permeation and Separation Studies of COF Based MMMs

Unlocking the potential of covalent organic framwork-based mixed matrix membranes in gas separation allows for several industrial applications like gas storage.

Mentor:

Program: FURI

Exploring Single-Atom Catalysts for the Electrochemical Conversion of Nitrate to Ammonia with DFT and Machine Learning

Computational identification of single-atom catalysts for electrochemical NO3- reduction advances material discovery and catalytic activity.

Mentor:

Program: FURI

Developing an Antibody Language Model for Generating Missing Amino Acid Residues to Complete Partial BCR Sequences

Our model studies immune cells, which hold promise as treatments for cancer and can extend to other infectious diseases.

Mentor:

Program: MORE

Enhanced Production of Organic Materials Under Light-Limited Conditions Through CRISPR Engineering of Cyanobacterial Hydrogenase

Enhancing cyanobacterial hydrogenase activity could revolutionize sustainable biofuel production, mitigating climate change.

Mentor:

Program: FURI

Asynchronous Concurrency in Anonymous Dynamic Networks

Creating formal methods to simulate synchrony in asynchronous dynamic networks allows for a better understanding of our ever-changing world.

Mentor:

Program: FURI

Exploring Channel Characteristics: A Comprehensive Study and Dataset Collection in Wireless Communications

We're creating a vast dataset of wireless channels between users and using it to train a machine learning model for channel prediction.

Mentor:

Program: FURI

Advancing Drug Delivery Systems: Building a Model for Thin Film Double-Layer Polyurethanes

Building a model to analyze thin film double-layer polymers will help with predicting drug releases to support future customized applications.

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

Knowledge Representation and Reasoning through Neural Networks

Finding new methods for knowledge representation and reasoning through neural network will help developing AI with high-level reasoning.

Mentor:

Program: FURI

Development of a Pendulum-Based Optical-Pickup Force Measurement Device for a Micronewton Thruster

Creating a device capable of measuring the thrust of minuscule thrusters will greatly increase the capabilities and lifespan of cubesats.

Mentor:

Program: FURI

2-Dimensional Perovskite Photovoltaics Produced with Organic Additives

Using organic additives in perovskite inks to improve the reliability of perovskite solar cells can lead to more efficient solar panels.

Mentor:

Program: GCSP research stipend

GCSP research stipend student Ritwik Sharma is creating a wayfinder for a telescope used for K-12 outreach to help students explore astronomy.

Ritwik Sharma Aerospace engineering

Developing a wayfinding method for the Completely Hackable Amateur Radio Telescope which will allow K-12 students to learn about radio astronomy.

Mentor:

Program: GCSP research stipend

Media Optimization to Improve Photosynthetic Sorbitol Production

Studying the implementation of MAD2Media's advanced optimization techniques on sorbitol production yields can improve the purity of sorbitol.

Mentor:

Program: FURI

Eco-friendly Dust Mitigation with Bio-polymer from Pine Resin in Mining and Construction Projects

Elevating dust control in mining and construction with eco-friendly biopolymer will produce a healthier environment and sustainable practices.

Mentor:

Program: FURI

Computational Design of Disordered Optical Metamaterials Beyond the Quasistatic Regime

Modeling material layering for specific properties will help predict the interaction of waves within the material.

Mentor:

Program: FURI

Producing Printable LiPON Based Solid-State Electrolyte Thin Film Using Open-Air Processing

Thin film lithium phosphorus oxynitride electrolyte is a compelling choice for next-generation battery technologies in terms of enhanced safety and energy density.

Mentor:

Program: FURI

Determining Transcription Factor LuxR Function In Mammalian Cells

This research adapts bacterial tools for mammalian use, accelerating and simplifying human cell study.

Mentor:

Program: FURI

FURI student researcher Byung-gik Park

Byung Gik Park Electrical engineering

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

Mentor:

Program: FURI

Vehicle Tracking Pipeline for an Intelligent Parking System

A vehicle tracking pipeline within smart parking systems promises to alleviate urban parking challenges by mitigating traffic congestion.

Mentor:

Program: MORE

Functionalized PDMS for Membrane Separations of VOCs from Water

Examining the applicability of functionalized PDMS polymer membranes to separate organic contaminants from water through pervaporation.

Mentor:

Program: GCSP research stipend

Adsorption Enhancement of Atmospheric Moisture Capture Using 3D-Printed TPMS Geometry

Studying the effect of high surface-to-volume ratio geometries to extract water from atmospheric air by means of adsorption phenomenon.

Mentor:

Program: MORE

Volumetric 3D Printing Optimization with Dual Wavelength Polymerization

Revolutionizing 3D printing with dual-wavelength polymerization for better quality, efficiency and versatility, impacting diverse industry.

Mentor:

Program: MORE

Measuring Material Diffusion And Performance Changes in Semiconductor Diodes

Studying and modeling the correlation between the performance of semiconductor diodes and defects after aging.

Mentor:

Program: FURI

Regulating Surface Synergistic Layers of Layered Cathodes Through Low-Temperature Pyrolysis

Enhancing the battery performance of nickel-rich cathodes can decrease the price of batteries and make lithium-ion batteries more sustainable.

Mentor:

Program: FURI

Utilizing Magnetic Nanoparticles to Advance MRI-based Hyperthermia Abilities

Developing an advanced MRI-nanoparticle hybrid system that improves diagnostic accuracy and treatment efficiency.

Mentor:

Program: FURI

Hardware-Net

Studying methods to solve a control problem for a system whose dynamics are not differentiable will advance robotics.

Mentor:

Program: MORE

Optimizing Cell Culture Methods for Acetylcholinesterase Production

Altering cell lines and medium composition can optimize cell culture methods to more efficiently produce recombinant Acetylcholinesterase for medical applications.

Mentor:

Program: FURI

High Throughput Computational Search For Efficient Thermochemical Energy MOx Materials For Hydrogen Production

Researching and computing the most efficient metal oxide structures is vital to lower the cost of green hydrogen production.

Mentor:

Program: FURI

Optimization of Heat Transfer Through Cadmium Selenide Semiconducting Nanoparticle Structure Using Finite Element Modeling

Optimizing heat transfer using cadmium selenide will help create more efficient water desalination techniques.

Mentor:

Program: FURI

Patient-Adaptive Robotic Balance Training for Lower-Extremity Stroke Rehabilitation

Assessing the use of robotic balance training to improve post-stroke stability will verify its advantages as a rehabilitation method.

Mentor:

Program: FURI

Investigating the Effects of Oxygen Availability on Neurodevelopment in Organoid Models

Understanding the impact of oxygen conditions on organoids can aid in the development to make them better models of disease and injury.

Mentor:

Program: MORE

Performance Evaluation of TPUs and FPGAs for Deep Neural Network Inference

This project will help engineers choose the correct hardware platform for their application based on their cost and performance requirements.

Mentor:

Program: MORE

Understanding Effect of Ion Migration Through Correlating Chemical and Ionic Properties in Halide Perovskites

Studying the ionic behavior of perovskite solar cells will help to improve its durability and successful commercialization in the near future.

Mentor:

Program: MORE

The Viability of Generative AI in Data Analytics and Summarization

Using generative AI to analyze large student survey datasets will allow teachers to rapidly make improvements to their courses.

Mentor:

Program: FURI

Power Disaggregation for Enhanced Energy Efficiency

Using machine learning for power disaggregation, thus reducing power consumption, helps ensure sustainability.

Mentor:

Program: MORE

The Utility and Impact of Sericin as a Novel Biomaterial for Use in Wound Healing

Investigating the biocompatibility of silk sericin produced by Bombyx mori silkworms will help explore its applications in wound healing.

Mentor:

Program: FURI

Nano Contrast Agents in Photoacoustic Imaging: In Vitro and Ex Vivo Insights

Enhancing biomedical imaging precision through innovative use of photoacoustic techniques with ICG and LNA-ICG as contrast agents.

Mentor:

Program: GCSP research stipend

Microfiltration Polysulfone Membranes for Polar Product Recovery

Studying microfiltration membranes will advance the field of membrane technology and how it is applicable to wastewater treatment.

Mentor:

Program: FURI

FURI student researcher Clara Chaves Azevedo conducts research into perovskite solar cells tat can be used on windows.

Clara Chaves Azevedo Civil engineering

Studying ink-based perovskite materials with reduced toxicity to explore the opportunity to gather energy from the sun on buildings.

Mentor: ,

Program: FURI

Finite-element Thermomechanical Characterization of Thin Film Perovskites for Solar Energy Applications

A finite-element thermomechanical model of perovskite-silicon tandem modules will facilitate innovations in solar panel design and materials.

Mentor:

Program: FURI

Integrating Machine Learning With a Cancer-On-A-Chip Model to Characterize the Morphological Response of SUM159 Cells to Infiltrative Stromal Cells

Novel machine learning methodologies that identify responsive morphometric features will help uncover/validate new therapeutic targets for cancer.

Mentor:

Program: FURI

Simultaneous Production of D-Lactic Acid and Ethylene by Engineered Cyanobacteria

Transforming specific genes in cyanobacteria will help produce renewable resources for energy and other raw materials.

Mentor:

Program: FURI

FURI student researcher Henry Nakaana is exploring the use of fungi in wildfire-affected soils for sustainable and cost-effective soil erosion mitigation.

Henry Nakaana Civil engineering

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

Mentor:

Program: FURI

Nanomechanical Characterization and Evaluation of Silk Fibroin Electrospun Scaffolds for Regenerative-Engineered Orthopedic Products

Investigating and evaluating the mechanical properties of electrospun silk fibroin will help develop regenerative-engineered orthopedic products.

Mentor:

Program: FURI

DIW 3D Printing of Magnetic Self-Healing Hydrogels

Studying the use of 3D printing to create magnetic structures and robots that can self heal.

Mentor:

Program: FURI

Photoelectrocatalytic Nitrate Reduction Using Nano-enabled Titanium Oxide Decorated with Metal Nanoparticles

Turning nitrate into ammonia with new technology will lead to cleaner water and better farming practices using electricity and UV radiation.

Mentor:

Program: FURI

Unraveling Speech Processing in Humans: Insights from Neural Signals

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

Mentor:

Program: GCSP research stipend

Characterization of Battery Stability Through Impedance Characterization for Sodium Ion Batteries

Studying battery degradation will help determine how sodium ion batteries can be re-purposed for second-life applications using electrochemical impedance spectroscopy.

Mentor:

Program: FURI

Using Two Mode Squeezing to Enhance Quadrature Quantum Sensing

Studying the use of entangled photons will help enhance quantum sensing and imaging.

Mentor:

Program: FURI

Closed-Loop Control for Variable Inductor System at High Frequencies

Creating closed-loop control for inductance in magnetic materials is vital for precise regulation in testing power amplifiers.

Mentor:

Program: FURI

Finite Element Analysis of Atomic Force Microscopy Measurement of Heterogeneous Nodules Suspended in a Membrane with Application in the Semiconductor, Health, and Security Industries

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

Mentor:

Program: FURI

Lithium-ion Battery Degradation Machine Learning Model

Leveraging impedance data from lithium-ion batteries to create a machine learning model that can accurately predict battery state of health.

Mentor:

Program: FURI

Optimizing Camera Locations for Efficient Human Motion Analysis

Optimizing camera locations for human motion analysis enhances workplace safety through better understanding of motion patterns.

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

Next-Gen Immunotherapies: Harnessing Evolutionary Diffusion Models for Enhanced TCR-Epitope Sequence Generation

Exploring diffusion models to design TCR-Epitope sequences can lead to groundbreaking immunotherapies for cancer and disease treatment.

Mentor:

Program: FURI

Investigating Barrier Properties of Laminate Packaging Materials for Flexible Batteries

Studying the effects of flexible packaging materials’ seal strength will help with supplying power effectively in wearable devices.

Mentor:

Program: FURI

Swelling Studies of PEG/PPG-Polyurethane Polymers for Medical Applications

Studying the swelling rate of different polymers at different temperatures over time will help with future biomedical applications.

Mentor:

Program: FURI

Hafnium Contacts for n-type Conducting Nanocrystalline Diamond

Creating ohmic contacts incorporating hafnium on nanocarbon to enable high efficiency diamond power electronics, reducing power consumption.

Mentor:

Program: FURI

Enhancing Single-Cell RNA Sequencing Analysis for Neurodegenerative Disease Research

Transforming neurodegenerative care: Advanced cell analysis enables precise diagnoses and targeted therapies, improving patient outcomes.

Mentor:

Program: MORE

Dexterous Manipulation: Differential Sensitivity of Manipulation and Grasp Forces to Task Requirements

Understanding the mechanisms underlying dexterous human grasping and digit force coordination can improve neurorehabilitation techniques.

Mentor:

Program: FURI

Geometric Deep Learning and Anatomical Landmarking for Improved Preclinical Alzheimer’s Disease Diagnosis

Using neural networks and mesh processing, we revolutionize Alzheimer’s detection, enabling timely interventions for improved outcomes.

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

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

Studying battery cycling, electrochemical impedance spectroscopy and capacity changes at low temperatures to understand battery degradation.

Mentor:

Program: FURI

Solvent Vapor Anneal of Perovskite Films Fabricated by Electrical Field Direct Ink Deposition Technique

Developing methods to optimize fabrication of perovskite solar cells, which are inexpensive yet degrade quickly.

Mentor:

Program: FURI

NRG1 Delivery via Sulfated-Hyaluronic Acid (HA) Microgels as a Neuroprotective Agent to Oxygen-Glucose Deprived (OGD) Neuronal Cells

Sulfated-HA microgels can enable growth factor delivery to apoptotic cells advancing development of composite hydrogel systems to treat traumatic brain injury.

Mentor:

Program: FURI

Developing a Theoretical Understanding of Water-Network Formation On The Surface of Metal Oxides

This project explores the water-surface interface on metal-oxides through Density Functional Theory in conjunction with machine learning.

Mentor:

Program: FURI

Finite Element Modeling to Optimize Degradation Properties on Polymeric Materials

Modeling strain vs geometry of plastics will enable optimization of a 3D printable lattice to minimize materials and maximize strain tolerance.

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

FURI student researcher Patrick Shea Jr. is creating reconfigurable solar arrays helps both in shady conditions and as the solar cells age and degrade.

Patrick M. Shea Jr. Electrical engineering

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

Mentor:

Program: FURI

Optimizing Disaggregated Memory for Large Machine Learning Applications

Optimizing memory for machine learning will improve the performance of machine-learning-based applications and the efficiency of computing systems.

Mentor:

Program: FURI

Using Machine Learning on Naturalistic Driving Data to Predict Mild Cognitive Impairment

Engineering features from naturalistic driving data will help see if correlations can aid cognitive diagnosis and Alzheimer's disease risk assessment.

Mentor:

Program: GCSP research stipend

Canonicalizing Amoebot Leader Election Algorithms

Standardizing assumptions for leader election algorithms for programmable matter in order to be able to compare their effectiveness.

Mentor:

Program: FURI

Analyzing the Morphological Shifts of Breast Cancer Cells under Varying Stromal Conditions Using a Microfluidic Technology

Investigating cell shape change in breast cancer cells across varied environments will help understand how cell interactions affect cancer behavior.

Mentor:

Program: FURI

Developing Self-Healing Polymeric Nanocomposites through Nanoparticle-based Bonds

By strengthening nanocomposite properties through polyvalent interactions, the utility of self-healing materials can be expanded to a broader range.

Mentor:

Program: MORE

Investigating the Influence of Bamboo Fiber Microstructure on Mechanical Response

Studying MOSO bamboo's mechanical properties will help understand its application in a construction application.

Mentor:

Program: FURI

Characterization of Silk Fibroin Electrospun NanoScaffolding

Creating and characterizing artificial extracellular matrices using electrospinning will help grow tissue and artificial organs.

Mentor:

Program: FURI

FURI student researcher Emily Mahadevan

Emily Mahadevan Biomedical engineering

Studying the release of alpha ketoglutarate microparticles, a metabolite that stimulates bone growth, from a hydrogel will help treat bone loss.

Mentor:

Program: FURI

MORE student researcher Aishwarya Katkar studies how machine learning can help expedite material analysis to develop semiconductor device components.

Aishwarya Katkar Mechanical engineering

Studying particle properties data will help us to speed up material analysis research for future electronics.

Mentor:

Program: MORE

Immersive Learning Architectures: Template-Driven VR Education

Revolutionizing VR in education with replicable templates, ensuring immersive learning is accessible, engaging and seamlessly scalable.

Mentor:

Program: GCSP research stipend

Sensor Fusion System for Improving Motion Amount Quantification within Computer-Vision-Enabled Worker Analysis

Developing a sensor fusion system for computer vision models will both increase the accuracy and reduce the costs of motion data analysis.

Mentor:

Program: FURI

Enhancing Human Activity Recognition through 3D Modeling and Deep Learning: Advancement of Wearable Robotics through Time-series and Video Data Analysis

The motivation of this project is to advance the lives of people through the extensive research into the technology of wearable robotics.

Mentor:

Program: GCSP research stipend

Vat Photopolymerization of Resin/Liquid Crystal Based Polarizers with Enhanced Anisotropic Property for Optical Steganography

Enhancing resin/liquid crystal polarizers for optical steganography makes encrypted messages more secure and accessible.

Mentor:

Program: FURI

Towards Automated Selection of Embedding Models: Identifying the Optimal Parameters for the Baseline Model for TCR Embedding

Automating embedding model selection optimizes TCR research, accelerating therapeutic target discovery for improved health outcomes.

Mentor:

Program: MORE

Characterizing the binding efficiency of NR5A1’s G35E ZF mutation in a synthetic system

Understanding NR5A1’s ZF domains allows scientists to determine how to develop transcription factors to study Adrenal Disease and develop therapies.

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

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

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

Mentor:

Program: FURI

Non-Metallic Bio Polymer Composite Design and Selection for Replacement of Rigid Non-Degradable Orthopedic BioWare

Analyzing computational mechanical property data of non-metallic composite designs help determine feasibility of bone fixation replacement.

Mentor:

Program: MORE

Design of Testbed for Testing of Screw-Propelled Vehicles in Granular Media and at Reduced Gravity

Improving snake-shaped robotics with granular media simulations opens new paths for exploration and rescue missions in challenging terrains.

Mentor:

Program: MORE

Scalable Synthesis of Zeolite for Use as Separators in High Performance Lithium Ion and Metal Batteries

Designing a safer lithium-ion battery will allow people to store energy without the fire risk of traditional lithium-ion batteries.

Mentor:

Program: FURI

Structural Characterization of Aged Perovskite Films

Uncovering the structure property relationship of perovskite solar cell materials using X-ray diffraction and crystallinity measurements.

Mentor:

Program: FURI

Processing and Laser Scribing Flexible Perovskite Solar Modules for Lunar Application

The formation of a low-cost, lightweight and flexible solar module will innovate the future of space missions.

Mentor:

Program: FURI

Integrating Mutation Signaling Pathways into Comprehensive Somatic Mutation Profiles

Studying pathway impact on cancer phenotypes by incorporating them into the OncoMerge program will inform cancer gene regulatory networks.

Mentor:

Program: FURI

Optimizing Compact Model of Nanosheet FET (NSFET) for Analog/Digital IC Design

Developing an optimized machine-learning-aided compact model for nanosheet field-effect transistors can help carry out accurate and reliable circuit design.

Mentor:

Program: FURI

Data Set Design, Generation, and Analysis for Deep MIMO and DeepSense 6G with Machine Learning

Designing datasets to test novel artificial-intelligence-based wireless communication algorithms will help make the switch from 5G to 6G.

Mentor:

Program: FURI

Covalent Organic Framework-Based Aerogel Composites for Passive Atmospheric Water Harvesting

Incorporating functional nanofillers into nanoporous aerogels would allow for passive water harvesting even in low-humidity, desert air.

Mentor:

Program: MORE

Simulation of MoNbTaW Refractory High Entropy Alloy (RHEA) Optimization for High Temperature and Strength Applications

Finding the most optimal composition of MoNbTaW alloy will help with improving aircraft engine efficiency by being strong at extreme temperatures.

Mentor:

Program: FURI

Identifying Defects in Perovskite Using Machine Vision

Machine vision improves defect identification in perovskite, boosting solar technology toward efficient, sustainable energy solutions.

Mentor:

Program: FURI

Thermal Management for 3D Heterogenous Integration of Semiconductor Packaging

An advanced cooling approach for semiconductor systems can reduce overheating and thereby improve performance and reliability.

Mentor:

Program: MORE

Development of Biomimetic Nanoparticles for Smooth Muscle Dysfunction

Developing a characterized biomimetic nano drug presents a promising avenue for effective suppression of dysfunctional smooth muscle cells post-intervention.

Mentor:

Program: MORE

Leveraging the Power of Ligninolytic Enzymes to Valorize Lignin to Polyvinyl Phenol

Utilizing engineered microorganisms with ligninolytic enzymes for synthesis of biopolymers will contribute to advancements in bioplastics.

Mentor:

Program: MORE

Additive Manufacturing of Polymer-based Lithium Salt Electrolyte with Enhanced Physical Properties towards High-Performance Lithium-Ion Batteries

Investigation of the mechanical and electrochemical properties of 3D-printed lithium salt electrolytes to integrate them with silicon anodes.

Mentor:

Program: MORE

Validating CancerSim2: A Comparative Study of Adaptive Therapy in Mice Experiments

Validating CancerSim2 against clinical trials of adaptive therapy will help enhance and verify the accuracy of the model for cancer growth.

Mentor:

Program: MORE

Computer-Vision-Enabled Video Analysis for Motion Amount Quantification

Developing a novel approach for quantifying motion amounts in in-situ videos, with a focus on the local and collective motion of a specific joint.

Mentor:

Program: MORE

Perception of Intelligent Parking System

Creating a sustainable parking system using computer vision will help the public find the nearest spot, reducing congestion and emissions.

Mentor:

Program: MORE

Spring 2024 projects

123 projects