supervision

2026

• A mixture of experts approach to data-driven weather forecasting via a unified multi-model pipeline
• Diffusion forcing transformer for weather forecasting

2025

• Mixture of expert denoising diffusion models for efficient large scale weather data ingestion and super-resolution
• Latent diffusion models for domain adaptation in optoacoustic imaging
• Deep learning surrogate models for radiative transfer and dynamical core solvers in numerical weather prediction
• Wavelet-Compressed Masked Autoencoders for Efficient Large-Scale Weather Data Ingestion
• Dataset generation of multi-material deformable objects and image to deformation reconstruction
• PokeFlex: A Real-World Multimodal Dataset of Volumetric Deformable Objects for Robotic Manipulation and Learning-Based Mesh Reconstruction
• Whole-Heart MRI Segmentation with GLoG-CSUnet: Adapting a Vision Transformer Architecture for Congenital Heart Disease (HVSMR-2.0)

2024

• Benchmarking physics simulators for deformable object manipulation: A comparative analysis of MuJoCo and Isaac Gym for robotic grasping
• Enhancing Robotic Object Interaction using Vision-Language Models: A Pipeline for Object Hardness Estimation via Object Detection, Image Captioning, and LLM Reasoning
• Vision-Language Model Pipeline for Zero-Shot Object Characterization in Robotic Manipulation
• Data storage and ingestion for single node deep learning
• Accelerating Large-Scale Data Ingestion via Wavelet Decomposition and Diffusion-Based Coefficient Prediction: A Case Study on Atmospheric Reanalysis Data
• Denoising Diffusion Models for Random and Conditional Image Synthesis on Experimental Optoacoustic Data

2023

• Synthetic data distillation from GAN-based few-shot segmentation for efficient UNet training on optoacoustic images

2022

• Adapting Masked Autoencoders (MAE) to Non-Natural-Image Domains: A Case Study on Optoacoustic Tomography Signals

2021

• Contrastive Representation Learning (SimCLR) for Optoacoustic Image Analysis: Benchmarking Against Autoencoder Baselines
• Bayesian Spatio-Temporal Graph Neural Network for Probabilistic Lake Surface Temperature Prediction
• Anomaly detection in temporal lake weather station data using autoencoders
• Bi-directional RNN models for multi-sensor time-series analysis of meteorological readings

2019

• Transfer learning for anatomical structure agnostic segmentation with adversarial networks

2018

• Towards semantic segmentation in MRI: Efficient active learning with CNNs
• Interactive bone segmentation using ensemble of deep neural networks

2017

• Alignment of ultrasound to computed tomography images using bone surfaces
• Detection of unique and consistent anatomical landmarks in medical images

2016

• Interactive MR segmentation using random forests and multi-resolution random walker
• Feature extraction and sampling for supervised learning in MRI segmentation