publications
Past work, grouped by year. Use the topic buttons to filter, or the search bar to find specific papers.
2026
- Range-Aware Bayesian Optimization for Discovering Diverse Designs within Target Property WindowsarXiv preprint arXiv:2606.11574, 2026Polymer Informatics Machine Learning
2025
- Implementing topological data analysis for monitoring mass transfer during vacuum-assisted osmotic dehydration of applesACS Omega, 2025Process & Energy Sensing
- A digital twin simulator of a pastillation process with applications to automatic control based on computer visionComputers & Chemical Engineering, 2025Process & Energy
2024
- Understanding the interplay between electro-catalytic C(sp3)–C(sp3) fragmentation and oxygenation reactionsNature Catalysis, 2024Process & Energy
- Uncertainty quantification for molecular property predictions with graph neural architecture searchDigital Discovery, 2024Machine Learning
- Robust plastic waste classification using wavelet transform multi-resolution analysis and convolutional neural networksComputers & Chemical Engineering, 2024Circular Economy Machine Learning
- Convolutional neural networks: Basic concepts and applications in manufacturingIn Artificial Intelligence in Manufacturing, 2024Machine Learning
- A New Modeling Framework for Real-Time Extreme Electricity Price ForecastingIn 12th IFAC International Symposium on Advanced Control of Chemical Processes, 2024Published in IFAC-PapersOnLine, Volume 58, Issue 14, Pages 899–904Process & Energy
2023
- Scalable extraction of information from spatiotemporal patterns of chemoresponsive liquid crystals using topological descriptorsThe Journal of Physical Chemistry C, 2023Sensing Machine Learning
- Capturing molecular interactions in graph neural networks: a case study in multi-component phase equilibriumDigital Discovery, 2023Polymer Informatics Machine Learning
2022
- Online characterization of mixed plastic waste using machine learning and mid-infrared spectroscopyACS Sustainable Chemistry & Engineering, 2022Circular Economy Machine Learning
- Sensing gas mixtures by analyzing the spatiotemporal optical responses of liquid crystals using 3D convolutional neural networksACS Sensors, 2022Sensing Machine Learning
2021
- Using ATR-FTIR spectra and convolutional neural networks for characterizing mixed plastic wasteComputers & Chemical Engineering, 2021Circular Economy Machine Learning
- Accurate characterization of mixed plastic waste using machine learning and fast infrared spectroscopyACS Sustainable Chemistry & Engineering, 2021Circular Economy Machine Learning
- Convolutional neural nets in chemical engineering: Foundations, computations, and applicationsAIChE Journal, 2021Machine Learning
- Using machine learning and liquid crystal droplets to identify and quantify endotoxins from different bacterial speciesAnalyst, 2021Sensing Machine Learning
2020
- Graph neural network architecture search for molecular property predictionIn 2020 IEEE International Conference on Big Data, 2020Machine Learning
2019
- Highly compact, free-standing porous electrodes from polymer-derived nanoporous carbons for efficient electrochemical capacitive deionizationJournal of Materials Chemistry A, 2019Process & Energy
2018
- Scalable synthesis of uniform nanosized microporous carbon particles from rigid polymers for rapid ion and molecule adsorptionACS Applied Materials & Interfaces, 2018Process & Energy
- Understanding the electrochemical properties of naphthalene diimide: implication for stable and high-rate lithium-ion battery electrodesChemistry of Materials, 2018Process & Energy