IMPACT: Information-theoretic Multiagent Paths for Anticipatory Control of Tasks
NSF CISE:IIS:RI. Developing information-theoretic multiagent path planning algorithms for anticipatory control of autonomous systems tasks.
Modeling Transportation Choices Under Real-time Information Using Simulated-based Virtual Experiments
PI: Pandey (NCA&T). Simulation-based virtual experiments to model traveler decisions under varying real-time information conditions.
Phase I: True BVLOS Drone as First Responder (DFR) through Mobile Intelligence
Co-PI: Alberts. Enabling drone-as-first-responder beyond visual line of sight with mobile intelligence for emergency response operations.
Phase I: Expendable Air-Sea Profiling Observations via Small Uncrewed Aircraft System
PI: Black Swift Technologies. Hazardous weather observation using small UAS for air-sea profiling in extreme conditions.
Summer Faculty Fellowship: Cooperative Tactics and Staging for Heterogeneous Teams
AFOSR Summer Faculty Fellowship Program. Cooperative multi-agent tactics for heterogeneous autonomous teams at AFRL, Ohio.
Virtual Technical Library Digitization Toolkit Plus
PI: Kovacic. Digitization and intelligent access to virtual technical library resources using AI-powered toolkits.
Sequential Information Gain Integration into Multiagent Routing
Sponsored by Hui (JPL). Sequential entropy-guided information gain for multiagent routing. Includes two intern fellowships for D. Barkely.
Spatiotemporal Entropy to Guide Targeted Meteorological Observations
PI: Posselt (JPL). Active sensing for targeted meteorological data collection using spatiotemporal entropy guidance for UAS path planning.
Information Theoretic Vehicle Routing for Ground and Aerial Vehicle
Sponsored by Ono (JPL). Information-theoretic routing for coordinated ground-aerial vehicle teams. Includes three Davenport internships.
UAS-based Active Hurricane Sensing with Information-theoretic Path Planning
PI: Ono (JPL). Information-theoretic UAS path planning for active hurricane sensing and data collection in extreme weather environments.
IDEANETT: Intelligent Data Exploration & Analysis for New & Existing Transportation Technology
NC Transportation Center of Excellence. Deep learning and data-driven analytics for emerging and existing transportation technology evaluation.
VRUTOP: Vulnerable Road User Demand-Responsive Transit Optimization with Healthcare Privatization
USDOT through CATM. Personalized on-demand transit optimization for vulnerable road users integrating healthcare access.
DRONETIM: Dynamic Routing of Unmanned-aerial and Emergency Team Incident Management
USDOT through CATM. Co-PI: Sun Yi (NCA&T), Andy Alden (VTTI). Dynamic coordination of UAVs and ground emergency vehicles for traffic incident management.
VRUPOD: VRU-Personalized, Optimum, and Dynamic Routing
USDOT through CATM. Personalized multimodal routing for vulnerable road users.
Multi-agent Reinforcement Learning-based Pedestrian Dynamics Models for Emergency Evacuation
USDOT through CATM. RL-based models for pedestrian dynamics during mass emergency evacuations.
Travelers’ Rationality in Anticipatory Online Emergency Response
USDOT through CATM. Modeling bounded rationality of travelers in anticipatory online emergency response systems.
ASETT: Advancing STEM Education Through Transportation Studies
PI: McBride (NCA&T). Transportation-themed STEM education with digital badge credentialing to improve student engagement.
Improving Long-range Planning Models for Feasibility Analysis of Mileage-based User Fees as an Alternative Revenue Stream
PI: Pandey (NCA&T). NCDOT. Developing enhanced long-range planning models to evaluate mileage-based user fees as an alternative transportation revenue stream.
Center for Regional and Rural Connected Communities (CR²C²)
PI: Kalimodini (NCA&T). USDOT University Transportation Center focusing on connected and autonomous mobility solutions for regional and rural communities.
C2SMARTER: Smart Mobility Toward Accessible and Resilient Transportation for Equitably Reducing Congestion
PI: Ozbay (NYU). USDOT University Transportation Center for smart, equitable, and resilient multimodal transportation systems in connected communities.
Transit and MaaS Role in Improving Economic and Healthcare Access for Underserved Populations
PI: Monast. NCDOT Center of Excellence on Mobility and Congestion. Mobility-as-a-Service (MaaS) solutions to improve healthcare and economic access for underserved communities.
Deep Learning Software for Traffic State Prediction
PI: Bhattacharyya. NCDOT Center of Excellence. Deep learning-based software tools for real-time traffic state estimation and prediction on arterial and freeway networks.
Developing a Plan for Using Unmanned Aerial Vehicles for Traffic Operations Applications in Virginia
PI: Alden (VTTI). VDOT. Planning framework for deploying UAVs in real-world traffic operations, incident detection, and roadway monitoring in Virginia.
Roadside Truck Placard Readers for Advanced Notice and Response at Safety-Critical Facilities
PI: Alden (VTTI). VDOT. Phase I development of automated roadside truck placard reading technology for hazardous materials monitoring at safety-critical facilities.
Advanced Traffic Analysis of Aerial Video Data
NCDOT Technical Assistance Program. Developing advanced computer vision and AI methods to analyze aerial video data for traffic monitoring and incident detection.
Information-theoretic Route Planning for a Heli-rover Team
PI: Ono (JPL). Develops information-theoretic path planning algorithms for coordinated ground rover and aerial helicopter teams exploring uncertain planetary environments.
Multiagent Information Theoretic Vehicle Routing
Sponsored by Ono (JPL). Multiagent information-theoretic routing for autonomous vehicle teams. Includes Pugh internship at JPL.
Information Theoretic Vehicle Routing + Folsom Internship
Sponsored by Ono (JPL). Information-theoretic routing algorithms for autonomous vehicles. Includes Folsom internship at NASA JPL Robotics Group.
NRT: Improving Strategies for Hunger Relief and Food Security Using Computational Data Science
PI: Davis (NCA&T). NSF Research Traineeship. Data science methods for food security, hunger relief, and healthy lifestyle interventions through computational modeling.
ERC: Engineering Research Center for Revolutionizing Metallic Biomaterials
PI: Sankar (NCA&T). NSF Engineering Research Center. AI and data-driven modeling contributions to next-generation biodegradable metallic biomaterials for medical implants.
Achieving Preferred Healthy Lifestyle Goals: Holistic Qualitative Computational Approach
PI: Thomas (NCA&T). USDA NIFA. Computational approaches combining qualitative and quantitative data to model and promote healthy lifestyle outcomes in underserved communities.
The Impact of Nuisance Flood Events on the Existing Inequities in Food Security
PI: Hoglund. Investigates how recurring nuisance flooding disproportionately worsens food security inequities in vulnerable coastal and low-income communities.