All Projects

Browse current research across Healthcare AI, World Models, and AI for Science.

Featured Projects

PHAST

A Port-Hamiltonian neural architecture for stable long-horizon forecasting in dynamical systems.

Scientific ML

GRL-SNAM

Geometric reinforcement learning for navigation and mapping in unknown environments.

Reinforcement LearningScientific ML

Parkinson's Disease / Healthcare AI

A unified Healthcare AI directory for Parkinson's research across imaging, biomarkers, and interpretable patient phenotypes.

Healthcare AI

MICCAI 2026 Posterior-Aware Motor Phenotyping

Posterior-aware Bayesian motor-state phenotyping from MDS-UPDRS-III with DaTSCAN, MRI, and BioFIND validation.

Health AI/MLClinical Imaging

QC-PHAST Search

An evidence-gated protocol for comparing classical and quantum query models in finite-pool rare-regime discovery.

Scientific MLQuantum Computing

Piano Digital Twin

A performer-instrument world model for multimodal piano skill, structured dynamics, and safe personalized training.

Scientific MLHuman Motion

Ski Jumper Digital Twin

A physics-aware digital twin for phase-dependent ski-jump trajectories, aerodynamic posture, and landing safety.

Scientific MLSimulation

A Novel Tri-Modal Viral–Ultrasound Gene-Delivery Therapy Protocol for Lysosomal Neurodegeneration via Stochastic Model Optimization with Uncertainty Quantification and Generalizability

Computationally optimized tri-modal AAV-T4, SP2, and focused ultrasound protocol for lysosomal neurodegeneration with stochastic uncertainty quantification.

Health AI/MLScientific ML

Material-Aware Hamiltonian Risk Fields

A context-energy term that makes a port-Hamiltonian navigation policy activate evasive maneuvers only when the local scene admits a safer feasible route.

Reinforcement LearningScientific ML

Event-Triggered Hamiltonian Optimization

SHAPE, a port-Hamiltonian optimizer that treats stagnation as a control event to hunt for better minima under a fixed evaluation budget.

Scientific ML

The Physics, Information, and Computation of Perennial Learning: Kolmogorov Complexity, Information Distance and Port-Hamiltonian Thermodynamics

Perennial learning framework using Kolmogorov complexity, information distance, and port-Hamiltonian dynamics for safe continual adaptation.

Scientific ML

Scalable Risk-Averse Well-Placement

Scalable risk-aware optimization for choosing well placements in shale fields.

Scientific ML

Differential and Pointwise Control RL

Sample-efficient reinforcement learning that combines differential control updates with pointwise trajectory corrections.

Reinforcement LearningScientific ML

Computer Algebra Meets Hamiltonian Geometry

Symbolic computation for deriving, simplifying, and visualizing Hamiltonian and Lie-Poisson dynamical systems.

Scientific ML

Dynamic Metric Space Maintenance

A self-balancing dynamic octree giving logarithmic-time updates and queries in evolving metric spaces, without rebuilding as distributions shift.

Scientific ML

Dynamic Belief Games

Decision-making models for rapid response in dynamic and adversarial communication networks.

Reinforcement LearningScientific ML

Subsurface Flow Modeling

Computational models for simulating and visualizing subsurface flow in complex geological formations.

Reinforcement LearningScientific ML

OC Protein Side-Chain and Folding

Continuous reinforcement learning for protein side-chain packing and folding.

Reinforcement Learning

Night-time Aerial Material Segmentation

Night-time aerial material segmentation that combines hyperspectral sensing with RGB imagery.

Computer Vision

Scalable Robust Bayesian Co-Clustering

Variational co-clustering for discovering robust row and column structure in noisy, sparse, and high-dimensional data.

Scientific ML

4DRecons

Complete textured deforming 3D models from a single RGB-D sequence, using 4D neural implicit surfaces with deformation and topology regularizations.

Computer Vision

Real Time Processing of Hyperspectral Video

Real-time machine learning for analyzing hyperspectral video streams as they are captured.

Computer Vision

Dueling Neural ODEs

Stable neural ODE methods for learning forward and adjoint dynamics together.

Scientific ML

Theoretical Bound for OCF Algorithm

Theory for understanding when and why optimal control flow algorithms work.

Reinforcement Learning

Past Projects

MCE-VAE

A variational learning framework for discovering stable latent clusters in transformed data.

Scientific ML

Video Imputation

Methods for repairing missing or corrupted video frames during streaming, compression, and super-resolution.

Computer Vision

Physics-informed Neural Networks

Physics-informed neural networks for solving PDEs while respecting governing physical constraints.

Scientific ML

Sample Complexity

Theory and algorithms for reinforcement learning that achieve better performance with fewer samples.

Reinforcement Learning

Optimal Control

Computational methods for solving optimal control problems through Hamiltonian system dynamics.

Scientific MLReinforcement Learning

DEDRECON

Real-time anomaly detection for hyperspectral video using encoder-decoder models that fuse spectral and motion cues.

Computer VisionScientific ML

Adversarial Cloaking

Adversarial patches for 3D human meshes that hide people from machine vision systems.

Computer VisionScientific ML

Camera ISP

Learning-based image signal processing for removing heterogeneous artifacts in camera pipelines.

Computer Vision

Angstrom

Multi-resolution geometric data structures for scientific computing and large-scale spatial analysis.

Scientific ML

Spectre

Fast spectral and geometric processing with data structures and prediction methods that come with guarantees.

Scientific ML

Generative Material Design

Generative models for designing new materials from limited labeled data.

Scientific ML

Rank-ordered Search-and-Score

Multi-agent reinforcement learning for finding important regions in gigapixel images quickly.

Reinforcement Learning

SHASTRA

Collaborative tools for geometric modeling, simulation, visualization, and design on networked systems.

Scientific MLComputer Vision

DiDi: Data Intensive Display Intensive Computing

Archived CVC project on data-intensive, display-intensive visualization for very large scientific datasets and multi-tiled display environments.

Scientific MLComputer Vision

VisualEyes

Archived CVC project on visual environments, domain modeling, auralization, and interrogative visualization for scientific data.

Scientific MLComputer Vision