CONFERENCE PRESENTATIONS

  • Julian Carvajal Rico, Juan C. Restrepo, Satish C. Muluk, Mark K. Eskandari, and Ender A. Finol. Classification of Abdominal Aortic Aneurysms Using Graph Neural Networks. Department of Mechanical, Aerospace, and Industrial Engineering Graduate Research Seminar. San Antonio, Texas, Nov 2024 (Poster).
Graph-Based Classification of Abdominal Aortic Aneurysms Using Graph Neural Networks
  • Julian Carvajal Rico, Adel Alaeddini, Syed Hasib Akther Farruqui, Susan P Fisher-Hoch, Joseph B Mccormick. Optimizing Patient Outcomes Through Generative Graph Neural Networks for Predictive Modeling of Multi-Chronic Conditions. INFORMS 2024 Annual Meeting. Seattle, Washington, USA. Oct 2024.
  • Julian Carvajal Rico, Adel Alaeddini, Syed Hasib Akther Farruqui. Optimizing Graph Representations with Generative Models for Predicting Multiple Chronic Conditions. IISE 2024 Annual Meeting. Montreal, Quebec, Canada. May 2024.
  • Julian Carvajal Rico, Adel Alaeddini, Syed Hasib Akther Farruqui. Enhancing Patient Similarity Learning with a Graph Generative Model for Multiple Chronic Conditions. INFORMS 2023 Annual Meeting. Phoenix, AZ.
  • Adel Alaeddini, Julian Carvajal Rico, Kamran Paynabar. A Recurrent Variational Autoencoder Control Chart for Predictive Monitoring of Continual Learning Processes. INFORMS 2023 Annual Meeting. Phoenix, AZ.
  • Julian Carvajal Rico, Adel Alaeddini, Syed Hasib Akther Farruqui. A Deep Graph Generative Model Approach for Unraveling Complex Relationships Among Multiple Chronic Conditions. ADSA 2023 Annual Meeting. San Antonio, TX (Poster).
  • Julian Carvajal Rico, Adel Alaeddini, Syed Hasib Akther Farruqui. An Active Learning Graph Neural Network (AGNN) for Predictive Modeling of Multiple Chronic Conditions. INFORMS 2022 Annual Meeting. Indianapolis, IN.