معرفی
Mark Nejad is an Associate Professor at the University of Delaware, focusing on autonomous and connected vehicle systems, sustainable transportation, and interdependent infrastructure optimization. His research integrates blockchain technology, federated learning, and operations research to address challenges in smart transportation and cybersecurity.
Education:
- M.S., Wayne State University
- Ph.D., Wayne State University
Research Interests:
- Blockchain applications in transportation security and trust management
- Federated learning for real-time traffic prediction
- Autonomous vehicle integration in mixed traffic environments
- Optimization of cloud computing and edge infrastructure for smart cities
- Game theory-driven resource allocation strategies
Key Article Trends (2022-2025): Recent work emphasizes blockchain-based solutions for VANET trust systems, decentralized EHR management, and adaptive federated learning frameworks. His research bridges cybersecurity, AI, and transportation engineering to create resilient infrastructure systems.
Awards & Grants: No explicit awards listed. Active in securing grants for blockchain-transportation and cloud federation projects.
Advising & Labs: No listed advisees. Engaged in collaborative research teams focusing on smart city technologies and decentralized systems.
