Potential projects proposed by Purdue Engineering faculty

Project proposals are grouped by interdisciplinary area, and projects can appear under multiple areas.

Autonomous and Connected Systems

Accelerating Piezotronic Material Discovery Using AI

Accelerator-Package Co-Design and Prototyping for Automotive Edge Computing with Foundation Models

Advancements in biotransport imaging and cell tracking dynamics

Advancing wildland fire risk assessment using multi-modal remote sensing

Developing a high throughput indentation-based fracture method for hydrogen embrittlement

Developing in-situ synchrotron X-ray capabilities to examine the multiphysics of transient particle interaction processes

Digital design and industry 4.0 system for integrated, modular distributed pharmaceutical manufacturing networks

FLEX: Facilitating Lean and Efficient X-operations in Multi-Robot and Multi-Human Collaborative Manufacturing

Learning and control for intelligent human-autonomy interaction

Particles, polymers, and compliant boundaries at the intersection of fluid mechanics and soft matter

Quantum AI for Cybersecurity

Stimulating and Manipulating AI Agents via Recognizant, Tiered Modeling in Adversarial Environments

Threading the Needle: Towards Provably Safe Control and Planning for High Performance Autonomous Systems

Touch, Feel, Think: Exploiting Soft Robot Compliance through Planning

Uncertainty-Aware AI-Enabled Synthesis of Transparent Conducting Materials

CISLunar (Space science and Engineering)

Biological In-Situ Resource Utilization to enable a BioAstronautics Architecture for Deep Space Human Habitation and Bioregenerative Life Suppor

Combined modeling and experimental study of metal fuel combustion in a solid rocket motor environment

Space Robotics for On-Orbit Servicing, Assembly, and Manufacturing (OSAM) Applications

Spectroscopic characterization of thermochemical non-equilibrium behind strong shock waves in surrogate Titan atmosphere

Micro-, Nano-, and Quantum Engineering

A Hybrid Quantum-Classical Approach for Solving Combinatorial Problems via Graph Decomposition

AI-ARMADILLO: AI-empowered nAno-weaRables for huMan heAlth Digital twIns with muLtimodaL fusiOn

Computational fluid–structure interactions using nonlocal formulations: Towards predictive simulation of coupled micro- and nanoscale mechanics

Crystal engineering with DNA assemblies

Designing and Characterizing Nanostructured Materials for Artificial Basement Membranes

Evaluating the Variational Quantum Eigensolver via Large-Scale Simulations: Preparing for Computational Chemistry via Current Quantum Computers

Expediting the Fabrication of Multifunctional Microarchitected Materials: Towards Fast and Scalable Applications

First-principles and Machine Learning Guided Search for High Thermal Conductivity Materials

Lift forces on non-spherical particles in polymeric fluids

Machine Learning-Guided Development of Advanced Radiative Cooling Coatings

Modeling nanoprecipitation from macroscopic mixing to internal structural dynamics

Negative Capacitance-enabled Quantum Metamaterials: a route to higher operating temperature quantum materials and technologies

Polariton Cultivation for Energy Solutions

Quantum Many-Body Physics with Rydberg Polaritons

Quantum Networks and Distributed Quantum Computing

Quantum Sensing, Optical Microscopy, and Bioimaging

Sensor design for pharmaceutical and biomedical applications

Uncertainty-Aware AI-Enabled Synthesis of Transparent Conducting Materials

heteRogEneous iNtegrAted multimodal nanoSensors with in-Sensor leArNing and inferenCE (RENAISSANCE) for TBI-on-a-chip

Innovation and Making

AI-ARMADILLO: AI-empowered nAno-weaRables for huMan heAlth Digital twIns with muLtimodaL fusiOn

Accelerating Piezotronic Material Discovery Using AI

Accelerator-Package Co-Design and Prototyping for Automotive Edge Computing with Foundation Models

Additive manufacturing of advanced high strength Al alloys

Advanced analytics in precision health

Advancements in biotransport imaging and cell tracking dynamics

Advancing wildland fire risk assessment using multi-modal remote sensing

Bio-hybrid Metamaterials

Bridging pore and grain-scale physics to the changing cryosphere

Developing in-situ synchrotron X-ray capabilities to examine the multiphysics of transient particle interaction processes

Domain-transferable Graph Neural Networks for Robust Out-of-distribution CFD

Expediting the Fabrication of Multifunctional Microarchitected Materials: Towards Fast and Scalable Applications

Extreme Environment Electronics Modeling and Testing

Innovative AI-Driven Discovery of Advanced Piezoelectric Materials

Multi-scale modeling of cerebrospinal fluid flow and transport

Particles, polymers, and compliant boundaries at the intersection of fluid mechanics and soft matter

Quality Control of 3D Printed Polymer Composites

Quantum algorithms for computational mechanics

Recycling and Recovery of Pure Critical Materials from Waste Lithium-Ion-Batteries

Uncertainty-Aware AI-Enabled Synthesis of Transparent Conducting Materials

Understanding and Advancing the Sustainability of Computing in Connected and Autonomous Vehicle

heteRogEneous iNtegrAted multimodal nanoSensors with in-Sensor leArNing and inferenCE (RENAISSANCE) for TBI-on-a-chip

Defense related projects (for US citizens only)

Optical Parallel Computing: Optical Neural Networks for Artificial Intelligence

Human-Machine/Computer Interaction, Human Factors, Human-Centered Design

AI-ARMADILLO: AI-empowered nAno-weaRables for huMan heAlth Digital twIns with muLtimodaL fusiOn

Biological In-Situ Resource Utilization to enable a BioAstronautics Architecture for Deep Space Human Habitation and Bioregenerative Life Suppor

Image-based computational modeling and GPU-accelerated computation for noninvasive and personalized quantification of hemodynamic abnormalities in stenosed human arteries

Predictive models for the swelling, breakup, and flow behavior of starch suspensions

Stem cell immune engineering and machine learning for targeted cancer therapy

Power, Energy, and the Environment

Active Megastructures for Water Control

Additive manufacturing of advanced high strength Al alloys

Advanced Admixtures from Industrial Waste Products for Sustainable High-Performance Concrete

Advancing wildland fire risk assessment using multi-modal remote sensing

Bio-hybrid Metamaterials

Biofuel production in photosynthetic microbes

Combined modeling and experimental study of metal fuel combustion in a solid rocket motor environment

Electrochemical Kinetic Investigation of Aqueous Zinc Metal Batteries

Machine Learning Enabled Prediction of Phase Change Heat Transport during Boiling

Machine Learning-Guided Development of Advanced Radiative Cooling Coatings

Mechanics of Mixed Ionic-Electronic Conductors

Modeling of volatile emissions from plants to the atmosphere

Polariton Cultivation for Energy Solutions

Recycling and Recovery of Pure Critical Materials from Waste Lithium-Ion-Batteries

Scientific Machine Learning for Partial Differential Equations

The magic of damping ... Or...

Data and Engineering Applications

A Hybrid Quantum-Classical Approach for Solving Combinatorial Problems via Graph Decomposition

AI for multiscale materials modeling

AI-ARMADILLO: AI-empowered nAno-weaRables for huMan heAlth Digital twIns with muLtimodaL fusiOn

Accelerating Piezotronic Material Discovery Using AI

Accelerator-Package Co-Design and Prototyping for Automotive Edge Computing with Foundation Models

Additive manufacturing of advanced high strength Al alloys

Advanced Design Tools for Multi-Physics Metamaterials Using AI

Advanced analytics in precision health

Advancements in biotransport imaging and cell tracking dynamics

Advancing analytics in systems engineering for healthcare

Advancing wildland fire risk assessment using multi-modal remote sensing

Automatic Algorithm Discovery Using Mathematical Optimization

Bio-hybrid Metamaterials

Biological In-Situ Resource Utilization to enable a BioAstronautics Architecture for Deep Space Human Habitation and Bioregenerative Life Suppor

Bridging pore and grain-scale physics to the changing cryosphere

Combined modeling and experimental study of metal fuel combustion in a solid rocket motor environment

Computational fluid–structure interactions using nonlocal formulations: Towards predictive simulation of coupled micro- and nanoscale mechanics

Designer Efflux Pumps for Synthetic Biology Applications

Designing Sustainable and Resilient Closed Loop Future Pharmaceutical Manufacturing Systems

Developing a high throughput indentation-based fracture method for hydrogen embrittlement

Developing in-situ synchrotron X-ray capabilities to examine the multiphysics of transient particle interaction processes

Digital design and industry 4.0 system for integrated, modular distributed pharmaceutical manufacturing networks

Domain-transferable Graph Neural Networks for Robust Out-of-distribution CFD

Evaluating the Variational Quantum Eigensolver via Large-Scale Simulations: Preparing for Computational Chemistry via Current Quantum Computers

Exploring the Interactions between Amphiphilic Block Copolymers and Protein Biologics: A Study Combining Molecular Dynamics Simulations with Experimental Verification

FLEX: Facilitating Lean and Efficient X-operations in Multi-Robot and Multi-Human Collaborative Manufacturing

First-principles and Machine Learning Guided Search for High Thermal Conductivity Materials

Image-based computational modeling and GPU-accelerated computation for noninvasive and personalized quantification of hemodynamic abnormalities in stenosed human arteries

Impacts of Social Determinants of Health on Infectious Diseases: Multi-Scale Modeling and Control

Innovative AI-Driven Discovery of Advanced Piezoelectric Materials

Machine Learning-Guided Development of Advanced Radiative Cooling Coatings

Modeling of volatile emissions from plants to the atmosphere

Multi-scale modeling of cerebrospinal fluid flow and transport

Predictive models for the swelling, breakup, and flow behavior of starch suspensions

Purdue Orbital Deployment Assessment System (PODAS): A complex stochastic systems framework for space operations engineering

Quality Control of 3D Printed Polymer Composites

Quantum AI for Cybersecurity

Quantum algorithms for computational mechanics

Scientific Machine Learning for Partial Differential Equations

Sensor design for pharmaceutical and biomedical applications

Space Robotics for On-Orbit Servicing, Assembly, and Manufacturing (OSAM) Applications

Spectroscopic characterization of thermochemical non-equilibrium behind strong shock waves in surrogate Titan atmosphere

Stimulating and Manipulating AI Agents via Recognizant, Tiered Modeling in Adversarial Environments

Threading the Needle: Towards Provably Safe Control and Planning for High Performance Autonomous Systems

Uncertainty-Aware AI-Enabled Synthesis of Transparent Conducting Materials

Understanding and Advancing the Sustainability of Computing in Connected and Autonomous Vehicle

heteRogEneous iNtegrAted multimodal nanoSensors with in-Sensor leArNing and inferenCE (RENAISSANCE) for TBI-on-a-chip

Security and Privacy

Optical Parallel Computing: Optical Neural Networks for Artificial Intelligence

Engineering-Medicine

AI-ARMADILLO: AI-empowered nAno-weaRables for huMan heAlth Digital twIns with muLtimodaL fusiOn

Advancing analytics in systems engineering for healthcare

Bioinspired Materials for Surgical Adhesive or Sealant Applications

Crystal engineering with DNA assemblies

Designing Sustainable and Resilient Closed Loop Future Pharmaceutical Manufacturing Systems

Developing co-located long-term and short-term memory for brain-inspired in-memory computing: a material-device-architecture co-design approach

Drug Transport in In Vitro Subcutaneous Tissues

Elucidate Gene-environmental interactions in promoting ADRD

Engineered Human Microglia as Cell Therapy for Alzheimer's Disease

Exploring the Interactions between Amphiphilic Block Copolymers and Protein Biologics: A Study Combining Molecular Dynamics Simulations with Experimental Verification

Image-based computational modeling and GPU-accelerated computation for noninvasive and personalized quantification of hemodynamic abnormalities in stenosed human arteries

Impacts of Social Determinants of Health on Infectious Diseases: Multi-Scale Modeling and Control

Lift forces on non-spherical particles in polymeric fluids

Modeling nanoprecipitation from macroscopic mixing to internal structural dynamics

Multi-scale modeling of cerebrospinal fluid flow and transport

Optical Parallel Computing: Optical Neural Networks for Artificial Intelligence

Physics-informed information field theory for predictive medicine

Quantum Sensing, Optical Microscopy, and Bioimaging

Sensor design for pharmaceutical and biomedical applications

Spectroscopic characterization of thermochemical non-equilibrium behind strong shock waves in surrogate Titan atmosphere

Stem cell immune engineering and machine learning for targeted cancer therapy

heteRogEneous iNtegrAted multimodal nanoSensors with in-Sensor leArNing and inferenCE (RENAISSANCE) for TBI-on-a-chip

Others

Active Megastructures for Water Control

Developing in-situ synchrotron X-ray capabilities to examine the multiphysics of transient particle interaction processes

Lift forces on non-spherical particles in polymeric fluids

Machine Learning Enabled Prediction of Phase Change Heat Transport during Boiling

Particles, polymers, and compliant boundaries at the intersection of fluid mechanics and soft matter

Predictive models for the swelling, breakup, and flow behavior of starch suspensions

Uncertainty-Aware AI-Enabled Synthesis of Transparent Conducting Materials

Future Manufacturing

AI-ARMADILLO: AI-empowered nAno-weaRables for huMan heAlth Digital twIns with muLtimodaL fusiOn

Advanced Design Tools for Multi-Physics Metamaterials Using AI

Crystal engineering with DNA assemblies

Designer Efflux Pumps for Synthetic Biology Applications

Developing in-situ synchrotron X-ray capabilities to examine the multiphysics of transient particle interaction processes

Digital design and industry 4.0 system for integrated, modular distributed pharmaceutical manufacturing networks

Expediting the Fabrication of Multifunctional Microarchitected Materials: Towards Fast and Scalable Applications

FLEX: Facilitating Lean and Efficient X-operations in Multi-Robot and Multi-Human Collaborative Manufacturing

Innovative AI-Driven Discovery of Advanced Piezoelectric Materials

Recycling and Recovery of Pure Critical Materials from Waste Lithium-Ion-Batteries

Sensor design for pharmaceutical and biomedical applications

Stem cell immune engineering and machine learning for targeted cancer therapy

Uncertainty-Aware AI-Enabled Synthesis of Transparent Conducting Materials

heteRogEneous iNtegrAted multimodal nanoSensors with in-Sensor leArNing and inferenCE (RENAISSANCE) for TBI-on-a-chip

Smart City, Infrastructure, Transportation

Active Megastructures for Water Control

Advanced Admixtures from Industrial Waste Products for Sustainable High-Performance Concrete

Mechanics of Mixed Ionic-Electronic Conductors

Quantum AI for Cybersecurity

Scientific Machine Learning for Partial Differential Equations

Stimulating and Manipulating AI Agents via Recognizant, Tiered Modeling in Adversarial Environments

Integrated Neuroscience and Engineering

Elucidate Gene-environmental interactions in promoting ADRD

Optical Parallel Computing: Optical Neural Networks for Artificial Intelligence

heteRogEneous iNtegrAted multimodal nanoSensors with in-Sensor leArNing and inferenCE (RENAISSANCE) for TBI-on-a-chip