Predicting and Optimizing City-Scale Road Traffic Dynamics Using Trajectories of Individual Vehicles. - Fan Yang 057; Alina Vereshchaka; Wen Dong 001 (IEEE BigData, 2018)

Dynamic Resource Allocation During Natural Disasters Using Multi-agent Environment. - Alina Vereshchaka; Wen Dong 001 (SBP-BRiMS, 2019)

Reducing Risks During Natural Disasters With Optimal Resource Allocation By Multi-Agent Optimization. - Alina Vereshchaka; Nathan Margaglio; Wen Dong 001 (WSC, 2019)

Optimizing Complex Interaction Dynamics in Critical Infrastructure with a Stochastic Kinetic Model. - Fan Yang 057; Alina Vereshchaka; Wen Dong 001 (WSC, 2019)

Optimizing city-scale traffic flows through modeling isolated observations of vehicle movements. - Fan Yang 057; Alina Vereshchaka; Bruno Lepri; Wen Dong 001 (CoRR, 2019)

Variational Adversarial Kernel Learned Imitation Learning. - Fan Yang 057; Alina Vereshchaka; Yufan Zhou 001; Changyou Chen; Wen Dong 001 (AAAI, 2020)

Bayesian Multi-type Mean Field Multi-agent Imitation Learning. - Fan Yang 057; Alina Vereshchaka; Changyou Chen; Wen Dong 001 (NeurIPS, 2020)

Analyzing and distinguishing fake and real news to mitigate the problem of disinformation. - Alina Vereshchaka; Seth Cosimini; Wen Dong 001 (Comput. Math. Organ. Theory, 2020)

Optimization of Mitigation Strategies During Epidemics Using Offline Reinforcement Learning. - Alina Vereshchaka; Nitin Kulkarni (SBP-BRiMS, 2021)

Optimizing Pharmaceutical and Non-pharmaceutical Interventions During Epidemics. - Nitin Kulkarni; Chunming Qiao; Alina Vereshchaka (SBP-BRiMS, 2022)

Optimizing City-Scale Traffic Through Modeling Observations of Vehicle Movements. - Fan Yang 057; Alina Vereshchaka; Bruno Lepri; Wen Dong 001 (IEEE Trans. Intell. Transp. Syst., 2022)

Dynamic Modeling and Forecasting of Epidemics Incorporating Age and Vaccination Status. - Nitin Kulkarni; Chunming Qiao; Alina Vereshchaka (SBP-BRiMS, 2023)

SAARTHI: Smart Auto Assessment and Roadside Technical Help Interface. - Chirayu Sanghvi; Alina Vereshchaka (SBP-BRiMS, 2024)