Asterios Tsiourvas
Publications by Year
Research Areas
COVID-19 epidemiological studies, Advanced Numerical Methods in Computational Mathematics, Emergency and Acute Care Studies, Model Reduction and Neural Networks, COVID-19 diagnosis using AI
Most-Cited Works
- → COVID-19: Prediction, Prevalence, and the Operations of Vaccine Allocation(2022)20 cited
- → Discrete gradient flow approximations of high dimensional evolution partial differential equations via deep neural networks(2022)12 cited
- → BigOptiBase: Big Data Analytics for Base Station Energy Consumption Optimization(2019)7 cited
- → A Granular Approach to Optimal and Fair Patient Placement in Hospital Emergency Departments(2024)6 cited
- → A Granular View of Emergency Department Length of Stay: Improving Predictive Power and Extracting Real-Time, Actionable Insights(2024)4 cited
- → A Mechanism Design and Learning Approach for Revenue Maximization on Cloud Dynamic Spot Markets(2021)2 cited
- → Optimizing Objective Functions from Trained ReLU Neural Networks via Sampling(2022)2 cited
- → The Power of Analytics in Epidemiology for COVID 19(2021)1 cited
- → Learning Prescriptive ReLU Networks(2023)
- Optimization in Deep Learning: Structured, Realistic and Interpretable Learning for Decision-Making(2025)