130Peer Reviewed
1,025+Citations
29Journal Articles
101Conference Papers
🏆 Top-Ranked Publications
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Temporal Multimodal Multivariate Learning (TMML)
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A Markov Decision Process Approach to Vacant Taxi Routing with E-hailing
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Real-time crash prediction and avoidance under unexpected traffic congestion
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Online emergency vehicle dispatching with look-ahead on a transportation network
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Anticipatory sensor location problem in connected vehicle environment
📖 Refereed Journal Articles & Book Chapters (29 published)
1
Advancing Food Equity through Explainable AI (XAI): Identifying Place-Based Factors and Conditions of Food Security
2
Information-theoretic path planning for safe and adaptive nanobot drug delivery
3
Physics-Informed Deep Learning with Kalman Filter Mixture for Traffic State Prediction
4
Proactive Distributed Constraint Optimization of Heterogeneous Incident Vehicle Teams
5
Data-Driven ML Models for Estimation of Partitioning Behavior of PFAS on Liquid-Solid Interface
6
Real-Time Electric Vehicle Routing with Deep Reinforcement Learning and Dynamic Charging
7
GMM-LSTM Integration for Predicting Latent State, RUL, and Fault Location in Rotating Machinery
8
A Novel BiGMM-HMM Integration Framework for Predictive Maintenance in Naval Vessel Propulsion Systems
9
A combined revealed and stated preference survey to understand the impact of multi-source real-time information on travel mode choice
10
Multi-agent collaboration for emergency evacuation using reinforcement learning for transportation systems
11
Adaptive Personalized Routing for Vulnerable Road Users
12
Dynamic Mixed Information Strategy for Heterogeneous Network Users and System Optimal Design
13
UAS-based active hurricane sensing with information-theoretic path planning
14
Scalable Information-Theoretic Path Planning for a Rover-Helicopter Team in Uncertain Environments
15
Deep adaptive learning for safe and efficient navigation of pedestrian dynamics
16
High-Order Markov Model for Prediction of Secondary Crash Likelihood considering Incident Duration
17
Explicit Forward Glance Duration Hidden Markov Model for Inference of Spillover Detection (Book Chapter)
18
A Markov Decision Process Approach to Vacant Taxi Routing with E-hailing
19
Online emergency vehicle dispatching with look-ahead on a transportation network
20
Generalized Estimating Equations Model Based Recursive Partitioning: Applied to Distracted Driving (Book Chapter)
21
Anticipatory sensor location problem in connected vehicle environment
22
Real-time crash prediction and avoidance under unexpected traffic congestion
23
Generalized Estimating Equation Model based Recursive Partitioning: Applied to Distracted Driving
24
Modeling effects of forward roadway glance durations on latent hazard detection
25
A stochastic emergency response location model considering secondary incidents on freeways
26
Stochastic capacity adjustment considering secondary incidents
27
Proposed data-driven performance measures for comparing and ranking traffic bottlenecks
28
Optimal number and location of Bluetooth sensors considering stochastic travel time prediction
29
Real-time prediction of secondary incident occurrences using vehicle probe data
30
Interpretation of Bayesian neural networks for predicting the duration of detected incidents
31
Development of accident prediction models for freeway interchange ramps
🎤 Peer-Reviewed Conference Proceedings (101)
1
Dynamic Traveler Responses to Sequential Incentives: Toward Adaptive Transportation System Management
2
AI-Driven Emergency Health Data Access For First Responders Using Hybrid Blockchain Architecture
3
Travelers’ mode choice behavior
4
Informative Path Planning for Nano-Surgical Robot Adaptive Drug Delivery
5
Integrating Real-Time Machine Learning and Dynamic Charging for Electric Vehicle Routing
6
Integrating Digital Twins, GeoAI, and SUMO for Flood-Resilient Urban Transportation Systems
7
Digital Twin for Urban Resilience: Modeling Transportation and Water Infrastructure Interoperability
8
Online Machine Learning for Time-Dependent Mobile Wireless Charging Electric Vehicles
9
Express Lane Route Choice under Real-time Information: A Joint Revealed and Stated-Preference Study
10
A New Predictive Maintenance Approach: GMM-LSTM for Prediction of Latent State and Failure Location of Rotating Machinery
11
A Novel BiGMM-HMM Framework for Predictive Maintenance in Naval Vessel Propulsion Systems
12
Express Lane Route Choice under Real-time Information: A Joint Revealed and Stated-Preference Study
13
Impact of real-time information on travelers’ mode choice behavior
14
Optimizing Paratransit Routing Considering Dwell Time Uncertainty
15
Physics-Informed Deep Learning with Kalman Filter Mixture: A New State Prediction Model
16
Contextual artificial intelligence for electric vehicle routing with mobile wireless charging
17
A multimodal physics-informed deep learning for traffic state prediction
18
Subscription Models for Differential Access to Real-time Information
19
Trip Planner MODE (Multimodal Optimal Dynamic pErsonalized)
20
Sequential Deep Learning Mars Autonomous Navigation
21
Advancing Autonomous In-situ Sensing under Highly Uncertain and Turbulent Flow
22
Paratransit Routing Considering Dwell Time Uncertainty and Contexts of Requests
23
Physics Informed Temporal Multimodal Multivariate Learning for Short-Term Traffic State Prediction
24
Trip Planner MODE (Multimodal Optimal Dynamic pErsonalized)
25
Mixed Information Routing Framework Using Competing Equilibrium Strategy
26
Subscription Models for Differential Access to Real-time Information
27
Enhancing Student Engagement and Skillsets towards Transportation Careers Using Digital Badge Program
28
Data-Driven ML Models for Estimation of PFAS Partitioning on various surface materials
29
Advancing Temporal Multimodal Multivariate Learning Physics Informed Regularization
30
Advancing Temporal Multimodal Multivariate Learning (Workshop)
31
Temporal Multimodal Multivariate Learning (TMML)
32
Multimodal Learning Models for Traffic Datasets
33
Integrating Pedestrian Accessibility with Public Transit Routing in a Multimodal Trip Planning Framework
34
Unmanned Aerial and Ground Emergency Vehicles in Traffic Incident Management: An Anticipatory Assignment Model
35
Developing a Machine Learning Model to Predict Aqueous Adsorption of PFAS Compounds
36
Area-Based Backbone for Vehicular Ad-Hoc Networks
37
A Proactive Dynamic-Distributed Constraint Optimization Framework for UAVs and Ground Vehicles in Traffic Incident Management
38
Distributed Constraint Optimization Problem for Coordinated Response of UAVs and Ground Vehicles
39
VRUPOD: Vulnerable Road User Personalized Optimum and Dynamic routing
40
Congestion Reduction Using Information-Theoretic Multi-agent Decision-Making
41
Multimodal Public Transit Routing considering Travelers’ Risk-Preference
42
A new distributed agent framework for traffic incident management
43
Multi-agent Information-Theoretic Decision-Making in Congested Network Conditions
44
Robust Virtual Backbone for Vehicular Ad-Hoc Network Reliability in Intelligent Transportation Systems
45
Modeling and Assessing the Impact of a Traveler’s Preference on Transit Route-Choice Behavior
46
A Personalized Trip Planner for Vulnerable Road Users
47
Dynamic Mixed Information Strategy for Heterogeneous Network Users and System Optimal Design
48
MAARS: Machine Learning-based Analytics for Rover Systems
49
DRONETIM: Dynamic Routing of Unmanned-aerial and Emergency Team Incident Management
50
High-Order Markov Model for Prediction of Secondary Crash Likelihood Considering Incident Duration
51
Prediction of Critical Factor of Safety in Soil Slopes Using ANFIS
52
Development of multinomial and ordinal logistic models for bicyclist and pedestrian crashes across North Carolina
53
Modeling and Assessing the Impact of a Traveler’s Preference on Transit Route-Choice Behavior
54
Vulnerable road user navigation considering perception on the transit uncertainty
55
DRONETIM: Dynamic Routing Of uNmanned-aerial and Emergency Team Incident Management
56
Adaptive Personalized Routing For Vulnerable Road Users
57
Information-theoretic navigation and stochastic user equilibrium
58
Connected Vehicle Sensor Location Model for Traffic Congestion Mitigation
59
Travelers’ rationality in anticipatory online emergency response
60
Simulation-Based Optimization of Emergency Response Considering Rationality of Travelers
61
The Intensity of North Carolina Cropland Use
62
Visualization-based Dynamic Dispatching of First Responders
63
Sensor Deployment for Reduction of Arterial Traffic Congestion
64
Stochastic Dynamic Sensor Location Problem with Efficient Solutions
65
Predicting the Budburst of Deciduous Trees in North Carolina
66
Morning Peak Hour Speed Prediction using Deep Learning Neural Networks
67
Prediction of Secondary Crash Likelihood considering Incident Duration using High Order Markov Model
68
Effect of Demand Shifting on Security Checkpoint Operation
69
Prediction of Red-Light Running using an Artificial Neural Network
70
Portable traffic sensors to enhance arterial mobility
71
Simulation-based Optimization for Reconfiguration of Mobile Wireless Sensor Network
72
Tripod: Sustainable Travel Incentives with Prediction, Optimization, and Personalization
73
Multi-Cycle Optimal Taxi Routing with E-hailing
74
Cooperative Scheme — An Alternative Approach to Equitable and Pareto-Improving Transportation System
75
Multi-Cycle Optimal Taxi Routing with E-hailing
76
An Alternative Approach to Equitable and Pareto-Improving System Optimum
77
Multi-Cycle Optimal Taxi Routing
78
Modeling effects of forward roadway glance durations on latent hazard detection
79
Optimal relocation of portable traffic sensors to improve arterial mobility
80
Sequential interpretation and prediction of secondary incident probability in real time
81
Proposed Data-Driven Performance Measures for Comparing and Ranking Traffic Bottlenecks
82
Explicit forward glance duration hidden Markov model for inference of hazard detection
83
Online redeployment and routing of emergency vehicles considering sequence of incidents
84
Dynamic relocation of Bluetooth sensors for improvement of signal timing
85
Stochastic emergency response units allocation considering secondary incident occurrences
86
Stochastic capacity adjustment considering secondary incidents
87
Online emergency vehicle dispatching with look-ahead on a transportation network
88
Use of clustering model and adjusted boxplot model for identification of secondary incidents
89
Innovative use of Bluetooth technology considering dynamic relocation
90
Optimal number and location of Bluetooth sensors considering stochastic travel time prediction
91
Capacity adjustment considering the impact of secondary incidents
92
An optimal fleet allocation of emergency response teams on freeway using two stage stochastic programming
93
Improving mobility of urban arterial roads using Bluetooth technology
94
Optimal number and location of Bluetooth sensors on arterial roads: Stochastic and dynamic approaches
95
A pedagogical rule extraction from Bayesian neural networks for prediction of secondary incidents
96
An efficient network model for allocation of in-house and outsourced construction equipment among projects
97
Identification and prediction of secondary crashes using vehicle probe data
98
Quantifying non-recurrent congestion impact on secondary incidents using probe vehicle data
99
ATIS: Interpretation of Bayesian neural network for predicting the duration of detected incidents
100
Real-time filtering of vehicle probe data for secondary incident prediction
101
Identification and prediction of secondary incidents
Full list also on Google Scholar ↗