Hai Jiang Source Confirmed
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Professor
Arkansas State University
faculty
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Biography and Research Information
OverviewAI-generated summary
Hai Jiang's research focuses on the intersection of computer science, deep learning, and cybersecurity. His recent work includes developing a malware detection approach utilizing autoencoders within deep learning frameworks. Jiang has also investigated blockchain technology, contributing to special issues on its application in Internet-of-Things and cyber-physical systems, and exploring adversarial honeypots in Ethereum for smart contract security. He has experience with hardware acceleration, having worked on FPGA-based implementations of cryptographic algorithms like NTRUEncrypt and high-performance, energy-efficient heterogeneous computing systems combining FPGAs, GPUs, and CPUs. Jiang also contributes to research on scalable and fault-tolerant data processing methods. His scholarly output is reflected in an h-index of 18 and over 119 publications with approximately 990 citations.
Metrics
- h-index: 18
- Publications: 119
- Citations: 990
Selected Publications
- A fault‐tolerant and scalable boosting method over vertically partitioned data (2024) DOI
- Guest Editorial Introduction to the Special Section on Computing and Networking for Cyber-Physical-Social Systems (2022) DOI
- A Malware Detection Approach Using Autoencoder in Deep Learning (2022) DOI
- High-Performance and Energy-Efficient FPGA-GPU-CPU Heterogeneous System Implementation (2021) DOI
- A FPGA-Based Heterogeneous Implementation of NTRUEncrypt (2021) DOI
- Guest Editorial for Special Issue on Blockchain for Internet-of-Things and Cyber-Physical Systems (2021) DOI
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