Data Analysis and Infographics
- 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 69th 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 60th 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
