Machine Learning for Engineering

Published research in AI-driven sensing and scientific imaging, plus selected highlights from class projects I've advised.

Sensing, Spectroscopy & Scientific Imaging

7 published works
Literature ReviewAI for Gas SensingSpectroscopic Sensing AIPublished Research

Artificial Intelligence in Gas Sensing: A Review

Surveys how machine learning, deep learning, and explainable AI are reshaping gas sensing, from spectral classification to real-time sensor deployment.

ACS Sensors (2025) · 120+ citations
Paper
Deep LearningInfrared SpectroscopySpectroscopic Sensing AIPublished Research

Deep Learning for Gas Sensing via Infrared Spectroscopy

Deep learning model trained on simulated absorbance spectra to classify up to three-component gas mixtures across a broad 400–4000 cm⁻¹ range, highlighting the frequencies driving each prediction.

Sensors (2024) · 40+ citations
Paper
Deep LearningTHz SpectroscopySpectroscopic Sensing AIPublished Research

TSMC-Net: Deep-Learning Multigas Classification Using THz Absorption Spectra

Deep learning architecture for terahertz absorption spectra (220–330 GHz) that classifies gas mixtures with up to eight components and identifies the frequencies driving each prediction.

ACS Sensors (2023) · 20+ citations
Paper Code
1D CNNTHz SpectroscopySpectroscopic Sensing AIPublished Research

VOC-Net: Deep Learning Volatile Organic Compounds Classifier

1D CNN trained on THz spectral signatures for rapid, selective identification of volatile organic compounds, where conventional analytical techniques often struggle.

Applied Sciences (2022) · 20+ citations
Paper Code
Multiple ML ModelsTHz SpectroscopySpectroscopic Sensing AIPublished Research

Rotational Spectra Classification

Links simulated and measured THz rotational spectra to improve robustness to noise and instrument variability in high-selectivity gas classification.

Applied Physics B (2021) · 20+ citations
Paper
Support Vector MachinesInfrared SpectroscopySpectroscopic Sensing AIPublished Research

IR Spectra Classification

SVM models trained on simulated absorbance data achieve reliable multigas IR classification, showing lightweight models can complement deep learning in resource-constrained sensing.

Applied Physics B (2022) · 10+ citations
Paper Code
Unsupervised LearningX-ray Fluorescence ImagingSpectroscopic Sensing AIPublished Research

ROI-Finder: ML-Guided Region-of-Interest Scanning for X-ray Fluorescence Microscopy

Unsupervised clustering pipeline that guides X-ray fluorescence microscopy scans toward chemically informative regions, enabling autonomous operation of synchrotron XRF systems.

Journal of Synchrotron Radiation (2022) · 5+ citations
Paper Code

Aerospace & Space Systems

5 projects
RegressionSurrogate ModelingAerospace AIAdvised Student Class Project

Data-Driven Modeling of Heat Transfer in Cryogenic Propellant Storage

Physics-Informed MLOrbital DynamicsAerospace AIAdvised Student Class Project

Physics-Informed Learning for Space Object Trajectory Awareness

Signal ProcessingClassificationAerospace AIAdvised Student Class Project

Sensor-Array Structural Health Monitoring for Composite Aerospace Structures

Graph Neural NetworksCFD SurrogateAerospace AIAdvised Student Class Project

Graph Neural Networks for Fast Aerodynamic Flow Prediction

Uncertainty QuantificationDeep LearningAerospace AIAdvised Student Class Project

Improving Fast Aerodynamic Simulations with Confidence Estimates

Fluid Dynamics & CFD

6 projects
Reinforcement LearningCFDComputational Physics + MLAdvised Student Class Project

Reinforcement Learning for Active Flow Control and Drag Reduction

Sequence ModelingReduced-Order ModelingComputational Physics + MLAdvised Student Class Project

Deep Learning to Forecast Evolving Fluid Flow Patterns

Physics-Informed MLFluid DynamicsComputational Physics + MLAdvised Student Class Project

Rebuilding Full Flow Fields from a Few Sensor Readings

Turbulence ModelingDeep LearningComputational Physics + MLAdvised Student Class Project

Deep Learning to Model Turbulence Behavior in Fluids

Computer VisionExperimental Fluid DynamicsComputational Physics + MLAdvised Student Class Project

Deep Learning for Fluid Vortex Localization from Experimental Imaging

Generative ModelingTurbulenceComputational Physics + MLAdvised Student Class Project

Generative AI for Modeling Complex Turbulent Flows

Energy & Thermal Systems

3 projects
Bayesian OptimizationSurrogate ModelingEnergy AnalyticsAdvised Student Class Project

Surrogate-Based Optimization of Thermal-Energy System Efficiency

RegressionRenewable EnergyEnergy AnalyticsAdvised Student Class Project

Data-Driven Power Curve Modeling for Wind Turbine Performance

RegressionThermal EngineeringEnergy AnalyticsAdvised Student Class Project

Machine Learning Surrogates for Convective Heat Transfer Prediction

Materials & Nuclear Engineering

3 projects
Signal ClassificationNuclear EngineeringMaterials InformaticsAdvised Student Class Project

Deep Learning to Classify Radiation Detector Signals

ClassificationNuclear PhysicsMaterials InformaticsAdvised Student Class Project

Machine Learning Classification of Nuclear Isotope Stability

Image SegmentationMaterials ScienceMaterials InformaticsAdvised Student Class Project

Identifying Material Microstructures with Minimal Manual Labeling

Manufacturing & Structural Engineering

3 projects
Unsupervised LearningManufacturingIndustrial AIAdvised Student Class Project

Real-Time Anomaly Detection for Metal Additive Manufacturing Processes

Hybrid Deep LearningReliability EngineeringIndustrial AIAdvised Student Class Project

Hybrid Neural Architectures for Structural Fatigue Life Prediction

Operator LearningStructural SystemsIndustrial AIAdvised Student Class Project

Fast AI Surrogates for Complex Thermal-Structural Systems

Robotics & Autonomous Systems

1 project
Imitation LearningRoboticsEmbodied AIAdvised Student Class Project

Imitation Learning for Precision Robotic Manipulation

Biomedical Engineering

1 project
Biosignal ProcessingClassificationBiomedical AIAdvised Student Class Project

Machine Learning for Prosthetic Control from Biosignal Data

Scientific Computing & Numerical Methods

4 projects
Graph Neural NetworksNumerical MethodsScientific MLAdvised Student Class Project

AI-Accelerated Solvers for Large Systems of Equations

Neural ODEsDynamical SystemsScientific MLAdvised Student Class Project

Continuous-Time Neural Architectures for Dynamical System Modeling

Neural ODEsSystem IdentificationScientific MLAdvised Student Class Project

Learning a System's Behavior Directly from Its Data

Training MethodologySurrogate ModelingScientific MLAdvised Student Class Project

More Accurate AI Surrogates via Gradient-Aware Training