Talks and Presentations

• Hashemian, F., Azucena, J.C.H., Liao, H., and Pohl, E.A. All-Terminal Network Reliability Estimation Using Graph Neural Networks, INFORMS Annual Meeting, Phoenix, AZ, October 15-18, 2023
• Aghamohammad, M., Azucena, J.C.H., Liao, H., Zhang, S., and Nachtmann, H. Maintenance Optimization of Inland Waterway Transportation System via Simulation and Machine Learning, INFORMS Annual Meeting, Phoenix, AZ, October 15-18, 2023
• Azucena, J.C.H. and Liao, H., Implementing a Quantum Gate Circuit to Estimate All-Terminal Network Reliability, NSF Site Visit: DART Student Poster Session, Little Rock, AR. September 18, 2023
• Azucena, J.C.H., Hashemian, F. and Liao, H. Need-based Sampling and Training in Machine Learning with Application to All-terminal Network Reliability Assessment. IISE Annual Conference and Expo 2023. New Orleans, LA. May 20-23, 2023
• Azucena, J.C.H., Kheirandish, M., and Hashemian, F. Causal Inference for Predicting Treatment Outcome in Breast Cancer - DAIS Data Challenge. IISE Annual Conference and Expo 2023. New Orleans, LA. May 20-23, 2023
• Azucena, J.C.H., Hashemian, F., Liao, H. and Pohl, E.A. Applying Machine Learning to Improve All-Terminal Network Reliability. The 69^th Annual Reliability and Maintainability Symposium. Orlando, FL. January 23-26, 2023
• Azucena, J.C.H., Wells, H., Liao, H., Sullivan, K. and Pohl, E.A., Applying Deep Reinforcement Learning to Improve the Reliability of an Infrastructure Network. The 60^th ESReDA Seminar: Advances in Modelling to Improve Network Resilience, France, May 4-5, 2022
• Harvey, W., Azucena, J.C.H., Stubblefield, J. and Saldivar, C., Reinforcement Learning with Connect Four, NSF EPSCoR Workshop: Artificial Intelligence (AI) with No-Boundary Thinking (NBT) to Foster Collaborations in Research, Education and Training, Little Rock, AR, April 3-7, 2022. Demo
• Bipasha, T., Azucena, J.C.H., Alkhaleel, B., Liao, H. and Nachtmann, H., Hybrid Simulation to Support Interdependence Modeling of a Multimodal Transportation Network, Winter Simulation Conference, National Harbor, MD, December 8-11, 2019
• Azucena, J.C.H. and Liao, H., Automatic Insect Count from Incomplete Scenes Using Convolutional Neural Networks, INFORMS Annual Meeting, Seattle, WA, October 20-23, 2019
• Jin, Y., Ruiz, C. and Azucena, J.C.H., Data Augmentation for Rare Events in Multivariate Time Series - QSR Data Challenge, INFORMS Annual Meeting, Seattle, WA, October 20-23, 2019
• Liao, H. and Azucena, J.C.H., Prognostic Using Dual-Stage Attention-Based Recurrent Neural Networks, MMR, Hong Kong, June 3-7, 2019
• Azucena, J.C.H. and Liao, H., Use of Deep Markov Models for Prognostics, ISERC, Orlando, FL, May 19-21, 2019
• Azucena, J.C.H. and Liao, H., Dual-stage Attention-based Recurrent Neural Networks for Prognostics and Smart Maintenance, INFORMS Annual Meeting, Phoenix, AZ, November 4-7, 2018