Unconventional Arterial Intersection Designs under Connected and Automated Vehicle Environment: A Survey. - Zijia Zhong; Mark M. Nejad; Earl E. Lee II (CoRR, 2018)

Access Control for Electronic Health Records with Hybrid Blockchain-Edge Architecture. - Hao Guo 012; Wanxin Li; Mark M. Nejad; Chien-Chung Shen (Blockchain, 2019)

Clustering Strategies of Cooperative Adaptive Cruise Control: Impacts on Human-Driven Vehicles. - Zijia Zhong; Joyoung Lee; Mark M. Nejad; Earl E. Lee II (CAVS, 2019)

A Blockchain-Based Architecture for Traffic Signal Control Systems. - Wanxin Li; Mark M. Nejad; Rui Zhang 007 (ICIOT, 2019)

Attribute-based Multi-Signature and Encryption for EHR Management: A Blockchain-based Solution. - Hao Guo 012; Wanxin Li; Ehsan Meamari; Chien-Chung Shen; Mark M. Nejad (IEEE ICBC, 2020)

Proof-of-Event Recording System for Autonomous Vehicles: A Blockchain-Based Solution. - Hao Guo 012; Wanxin Li; Mark M. Nejad; Chien-Chung Shen (IEEE Access, 2020)

Privacy-Preserving Traffic Management: A Blockchain and Zero-Knowledge Proof Inspired Approach. - Wanxin Li; Hao Guo 012; Mark M. Nejad; Chien-Chung Shen (IEEE Access, 2020)

Influence of CAV Clustering Strategies on Mixed Traffic Flow Characteristics: An Analysis of Vehicle Trajectory Data. - Zijia Zhong; Earl E. Lee II; Mark M. Nejad; Joyoung Lee (CoRR, 2020)

Autonomous and Semi-Autonomous Intersection Management: A Survey. - Zijia Zhong; Mark M. Nejad; Earl E. Lee II (CoRR, 2020)

Blockchain-enabled Identity Verification for Safe Ridesharing Leveraging Zero-Knowledge Proof. - Wanxin Li; Collin Meese; Hao Guo 012; Mark M. Nejad (CoRR, 2020)

Location-aware Verification for Autonomous Truck Platooning Based on Blockchain and Zero-knowledge Proof. - Wanxin Li; Collin Meese; Zijia Gary Zhong; Hao Guo 012; Mark M. Nejad (IEEE ICBC, 2021)

Secure Connected Vehicle-based Traffic Signal Systems Against Data Spoofing Attacks. - Tianye Ma; Rui Zhang 007; Mark M. Nejad (WCNC, 2021)

Autonomous and Semiautonomous Intersection Management: A Survey. - Zijia Zhong; Mark M. Nejad; Earl E. Lee II (IEEE Intell. Transp. Syst. Mag., 2021)

A Trust-Aware Mechanism for Cloud Federation Formation. - Lena Mashayekhy; Mark M. Nejad; Daniel Grosu (IEEE Trans. Cloud Comput., 2021)

BFRT: Blockchained Federated Learning for Real-time Traffic Flow Prediction. - Collin Meese; Hang Chen; Syed Ali Asif; Wanxin Li; Chien-Chung Shen; Mark M. Nejad (CCGRID, 2022)

A Hierarchical and Location-Aware Consensus Protocol for IoT-Blockchain Applications. - Hao Guo 012; Wanxin Li; Mark M. Nejad (IEEE Trans. Netw. Serv. Manag., 2022)

ZK-BFT: A Zero-knowledge and Byzantine Fault Tolerant Consensus for Permissioned Blockchain Networks. - Wanxin Li; Collin Meese; Mark M. Nejad; Hao Guo 012 (ICBTA, 2023)

vLOFT: Variable Learning Rate for Online Federated Traffic Prediction. - Collin Meese; Danielle Lee; Hang Chen; Mark M. Nejad (ITSC, 2023)

Sybil Detection in Connected Vehicle Systems via Angle-of-Arrival Estimation. - Tianye Ma; Yidan Hu; Aishah Aseeri; Mark M. Nejad; Rui Zhang 007 (MOST, 2023)

Location-aware Verification for Autonomous Truck Platooning Based on Blockchain and Zero-knowledge Proof. - Wanxin Li; Collin Meese; Zijia Zhong; Hao Guo 012; Mark M. Nejad (CoRR, 2023)

P-CFT: A Privacy-preserving and Crash Fault Tolerant Consensus Algorithm for Permissioned Blockchains. - Wanxin Li; Collin Meese; Mark M. Nejad; Hao Guo 012 (CoRR, 2023)

A Location-based and Hierarchical Framework for Fast Consensus in Blockchain Networks. - Hao Guo 012; Wanxin Li; Mark M. Nejad (CoRR, 2023)

Traffic Prediction using Artificial Intelligence: Review of Recent Advances and Emerging Opportunities. - Maryam Shaygan; Collin Meese; Wanxin Li; Xiaolong Zhao; Mark M. Nejad (CoRR, 2023)

A Hybrid Blockchain-Edge Architecture for Electronic Health Records Management with Attribute-based Cryptographic Mechanisms. - Hao Guo 012; Wanxin Li; Mark M. Nejad; Chien-Chung Shen (CoRR, 2023)

B^2SFL: A Bi-level Blockchained Architecture for Secure Federated Learning-based Traffic Prediction. - Hao Guo 012; Collin Meese; Wanxin Li; Chien-Chung Shen; Mark M. Nejad (CoRR, 2023)

B2SFL: A Bi-Level Blockchained Architecture for Secure Federated Learning-Based Traffic Prediction. - Hao Guo 012; Collin Meese; Wanxin Li; Chien-Chung Shen; Mark M. Nejad (IEEE Trans. Serv. Comput., 2023)

A Hybrid Blockchain-Edge Architecture for Electronic Health Record Management With Attribute-Based Cryptographic Mechanisms. - Hao Guo 012; Wanxin Li; Mark M. Nejad; Chien-Chung Shen (IEEE Trans. Netw. Serv. Manag., 2023)

Aggregated Zero-Knowledge Proof and Blockchain-Empowered Authentication for Autonomous Truck Platooning. - Wanxin Li; Collin Meese; Hao Guo 012; Mark M. Nejad (IEEE Trans. Intell. Transp. Syst., 2023)

Decentralized Electronic Health Records Management via Redactable Blockchain and Revocable IPFS. - Hao Guo 012; Wanxin Li; Collin Meese; Mark M. Nejad (CHASE, 2024)

Individualized Federated Learning for Traffic Prediction with Error Driven Aggregation. - Hang Chen; Collin Meese; Mark M. Nejad; Chien-Chung Shen (CoRR, 2024)

Adaptive Traffic Prediction at the ITS Edge With Online Models and Blockchain-Based Federated Learning. - Collin Meese; Hang Chen; Wanxin Li; Danielle Lee; Hao Guo 012; Chien-Chung Shen; Mark M. Nejad (IEEE Trans. Intell. Transp. Syst., 2024)

Deep Learning Hybrid Model for Equitable Data Representation: Physics Model Incorporating Ramp Traffic Dynamics & Data-Driven Enhancements. - Danielle Lee; Collin Meese; Kurt Hammen; Mark M. Nejad (MOST, 2025)

T-GANRE: Advanced Deep Learning Models for Synthetic Data Generation for Nonrecurrent Events. - Collin Meese; Danielle Lee; Kurt Hammen; Mark M. Nejad (MOST, 2025)