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Posts
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Blog Post number 4
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portfolio
ASL Letter Recognition
GUI using CNN and YOLO for American Sign Language verification
GitHub TensorFlow
Aqueous Solubility Prediction
Graph neural network for predicting aqueous solubility classification
PyTorch Kaggle
GPT4Readability: AI-Powered Code Documentation
AI-powered CLI tool for automatic code documentation
GitHub HuggingFace LangChain
Depth-Anything Video Analysis
Monocular depth estimation for autonomous UAVs
HuggingFace PyTorch KEF Robotics
Face Verification System
End-to-end face verification with CNNs
GitHub PyTorch
Digital Twins with Gaussian Splatting
Pipeline for creating Digital Twins of objects through Gaussian Splatting
PyTorch KEF Robotics
ML Models from Scratch
Machine learning models built exclusively with NumPy
GitHub NumPy
Patient Stay Duration Prediction
DNN for predicting hospital stay duration
GitHub Presentation PyTorch
Question Answering Model
Question answering system using SpaCy
GitHub SpaCy
Rhine Water Level Prediction
VAR model for predicting Rhine river water levels
GitHub Time-Series
SkinsAI: Melanoma Detection Tool
Deep learning tool for melanoma detection (2nd place, Pitt Challenge)
Speech Phoneme Recognition
Phoneme state label identification for variable-length utterances
GitHub PyTorch
Speech-to-Text Transcription
RNN/BLSTM with dense networks for speech transcription
GitHub PyTorch
Stereo Disparity Map Generation
State-of-the-art disparity map generation using PSMNet
GitHub PyTorch
Vision-Language Model Object Counting
Enumerating strategies to improve VLM counting and investigating internal mechanisms
PyTorch Research
Improving LLM SVG Generation with Reinforcement Learning
Using GRPO to improve VLM SVG generation quality
Report PyTorch
publications
Resolving Electrocatalytic Imprecision in Atomically Precise Metal Nanoclusters
Published in Current Opinion in Chemical Engineering, 2022
Review article on nanoparticle electrocatalyst design, covering machine learning applications and background in computational chemistry.
Recommended citation: Anantha Venkataraman Nagarajan, Dennis Johan Loevlie, Michael J Cowan, and Giannis Mpourmpakis. (2022). "Resolving electrocatalytic imprecision in atomically precise metal nanoclusters." Current Opinion in Chemical Engineering. 36:100784.
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Size-dependent Shape Distributions of Platinum Nanoparticles
Published in Nanoscale Advances, 2022
Collaborative work applying Boltzmann statistics to explain experimental findings about platinum nanoparticle shape distributions.
Recommended citation: Ruikang Ding, Ingrid M. Padilla Espinosa, Dennis Loevlie, Soodabeh Azadehranjbar, Andrew J. Baker, Giannis Mpourmpakis, Ashlie Martini, and Tevis D. B. Jacobs. (2022). "Size-dependent shape distributions of platinum nanoparticles." Nanoscale Advances. 4:3978–3986.
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Demystifying the Chemical Ordering of Multimetallic Nanoparticles
Published in Accounts of Chemical Research, 2023
A novel method to predict the chemical ordering of multimetallic nanoparticles, achieving a 71% reduction in RMSE compared to previous approaches.
Recommended citation: Dennis Johan Loevlie, Brenno Ferreira, and Giannis Mpourmpakis. (2023). "Demystifying the chemical ordering of multimetallic nanoparticles." Accounts of Chemical Research. 56(3):248–257.
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Single Atom Alloys Segregation in the Presence of Ligands
Published in The Journal of Physical Chemistry C, 2023
Investigating how ligands affect single atom alloy segregation using machine learning and computational chemistry.
Recommended citation: Salem, M., Loevlie, D. J., Mpourmpakis, G. (2023). "Single Atom Alloys Segregation in the Presence of Ligands." The Journal of Physical Chemistry C. 127(46):22790-22798.
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Synthetic Data Reveals Generalization Gaps in Correlated Multiple Instance Learning
Published in ML4H 2025 Symposium, Findings Track, 2025
We evaluate how well current MIL models capture inter-instance correlations by generating synthetic datasets and constructing a Bayes estimator as an optimal upper bound on model performance.
Recommended citation: Ethan Harvey, Dennis Johan Loevlie, and Michael C. Hughes. (2025). "Synthetic Data Reveals Generalization Gaps in Correlated Multiple Instance Learning." ML4H 2025 Symposium, Findings Track.
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talks
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.