19 citations · 53 across the 13 of their papers we have counts for
6 papers · 1 filter
Reinforcement Learning based Proactive Control for Transmission Grid Resilience to Wildfire
Salah U. Kadir, Subir Majumder, Ajay D. Chhokra +4
Power grid operation subject to an extreme event requires decision-making by human operators under stressful condition with high cognitive load. Decision support under adverse dyna…
Transit-Gym: A Simulation and Evaluation Engine for Analysis of Bus Transit Systems
Ruixiao Sun, Rongze Gui, Himanshu Neema +6
Public-transit systems face a number of operational challenges: (a) changing ridership patterns requiring optimization of fixed line services, (b) optimizing vehicle-to-trip assign…
Learning Incident Prediction Models Over Large Geographical Areas for Emergency Response Systems
Sayyed Mohsen Vazirizade, Ayan Mukhopadhyay, Geoffrey Pettet +3
Principled decision making in emergency response management necessitates the use of statistical models that predict the spatial-temporal likelihood of incident occurrence. These st…
ReSonAte: A Runtime Risk Assessment Framework for Autonomous Systems
Charles Hartsell, Shreyas Ramakrishna, Abhishek Dubey +3
Autonomous CPSs are often required to handle uncertainties and self-manage the system operation in response to problems and increasing risk in the operating paradigm. This risk may…
Deep-RBF Networks for Anomaly Detection in Automotive Cyber-Physical Systems
Matthew Burruss, Shreyas Ramakrishna, Abhishek Dubey
Deep Neural Networks (DNNs) are popularly used for implementing autonomy related tasks in automotive Cyber-Physical Systems (CPSs). However, these networks have been shown to make…
Efficient Data Management for Intelligent Urban Mobility Systems
Michael Wilbur, Philip Pugliese, Aron Laszka +1
Modern intelligent urban mobility applications are underpinned by large-scale, multivariate, spatiotemporal data streams. Working with this data presents unique challenges of data…