Hai Jiang
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Professor
Also affiliated: Wayne State University (2002–2004); The University of Texas at Arlington (2010); UL Research Institutes (2018); Software (Spain) (2023)
Formerly Arkansas Affiliated with Arkansas State University through 2024; recent publications list Beijing University of Posts and Telecommunications.
Research Areas
Links
Biography and Research Information
OverviewAI-generated summary
Hai Jiang's research focuses on developing and enhancing computational methods for data security, system scalability, and machine learning applications. His work has addressed challenges in areas such as malware detection, secure data storage in the Internet of Things (IoT), and optimizing large-scale data processing on multi-GPU systems. Jiang has investigated secure data provenance through blockchain technology and explored parallelization techniques for cryptographic algorithms like AES on GPUs. He also works on improving the efficiency of communication middleware in large-scale production environments.
His scholarly contributions are reflected in a publication record of 122 papers and an h-index of 18, with over 1,018 citations. Jiang has demonstrated recent activity in his research field, with his latest publication in 2026.
Metrics
- h-index: 18
- Publications: 122
- Citations: 1,018
Positions
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Professor 2004–presentArkansas State University Computer Science ORCID
Selected Publications
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A fault‐tolerant and scalable boosting method over vertically partitioned data (2024)
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Guest Editorial Introduction to the Special Section on Computing and Networking for Cyber-Physical-Social Systems (2022)
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A Malware Detection Approach Using Autoencoder in Deep Learning (2022)
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High-Performance and Energy-Efficient FPGA-GPU-CPU Heterogeneous System Implementation (2021)
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A FPGA-Based Heterogeneous Implementation of NTRUEncrypt (2021)
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Guest Editorial for Special Issue on Blockchain for Internet-of-Things and Cyber-Physical Systems (2021)
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A Malware Detection Approach Using Malware Images and Autoencoders (2020)
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CRState: checkpoint/restart of OpenCL program for in-kernel applications (2020)
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CRAC: An automatic assistant compiler of checkpoint/restart for OpenCL program (2020)
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A K-means algorithm based on characteristics of density applied to network intrusion detection (2020)
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CASH: correlation-aware scheduling to mitigate soft error impact on heterogeneous multicores (2020)
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CRAC: An Automatic Assistant Compiler of Checkpoint/Restart for OpenCL Program (2020)
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Generic attribute revocation systems for attribute-based encryption in cloud storage (2019)
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CRState: In-Kernel Checkpoint/Restart of OpenCL Program Execution on GPU (2019)
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GPU Acceleration of Ciphertext-Policy Attribute-Based Encryption (2019)
Collaboration Network
Top Collaborators
- A secure and scalable storage system for aggregate data in IoT
- Scaling up MapReduce-based Big Data Processing on Multi-GPU systems
- GPU-accelerated DEM implementation with CUDA
- GPU-in-Hadoop: Enabling MapReduce across distributed heterogeneous platforms
- MGMR: Multi-GPU Based MapReduce
Showing 5 of 30 shared publications
- CUDA-based AES parallelization with fine-tuned GPU memory utilization
- MTS: Multiresolution Thread Selection for Parallel Workload Distribution
- An Asymmetric Data Conversion Scheme based on Binary Tags
- Towards Secure and Reliable Data Storage with Multi-coefficient Secret Sharing
- Markov Clustering (MCL) based thread grouping and thread selection
Showing 5 of 13 shared publications
- CUDA-based AES parallelization with fine-tuned GPU memory utilization
- Speculative and distributed simulation of many-particle collision systems
- MTS: Multiresolution Thread Selection for Parallel Workload Distribution
- Markov Clustering (MCL) based thread grouping and thread selection
- MM-DSM: Multi-threaded Multi-home Distributed Shared Memory Systems
Showing 5 of 12 shared publications
- Scaling up MapReduce-based Big Data Processing on Multi-GPU systems
- Survey of attribute based encryption
- MGMR: Multi-GPU Based MapReduce
- Accelerating MapReduce framework on multi-GPU systems
- Pipelined Multi-GPU MapReduce for Big-Data Processing
Showing 5 of 7 shared publications
- Speculative and distributed simulation of many-particle collision systems
- Toward Optimizing Particle-Simulation Systems
- Parallel and Distributed Particle Collision Simulation with Decentralized Control
- Coordination schemes in distributed simulation of relativistic particle transport
- Adaptive and Fault Tolerant Simulation of Relativistic Particle Transport with Data-Level Checkpointing
Showing 5 of 6 shared publications
- Survey of attribute based encryption
- CUDA-Based Genetic Algorithm on Traveling Salesman Problem
- Pipelined Multi-GPU MapReduce for Big-Data Processing
- Analysis and acceleration of NTRU lattice-based cryptographic system
- Accelerating NTRU Encryption with Graphics Processing Units
Showing 5 of 6 shared publications
- Scaling up MapReduce-based Big Data Processing on Multi-GPU systems
- MGMR: Multi-GPU Based MapReduce
- Accelerating MapReduce framework on multi-GPU systems
- Pipelined Multi-GPU MapReduce for Big-Data Processing
- A Secure Distributed File System Based on Revised Blakley's Secret Sharing Scheme
Showing 5 of 6 shared publications
- A secure and scalable storage system for aggregate data in IoT
- On Post-Generation Data Operations in Secure Distributed Storage Systems with Internal Padding
- Towards Secure and Reliable Data Storage with Multi-coefficient Secret Sharing
- Secret sharing with extended coefficient use for improved data capacity
- SFS: A Secure File System with Scalability and Reliability Features on Distributed Storage Devices
Showing 5 of 6 shared publications
- HASS: Highly Available, Scalable and Secure Distributed Data Storage Systems
- Generic user revocation systems for attribute-based encryption in cloud storage
- Generic attribute revocation systems for attribute-based encryption in cloud storage
- On Post-Generation Data Operations in Secure Distributed Storage Systems with Internal Padding
- Towards Secure and Reliable Data Storage with Multi-coefficient Secret Sharing
Showing 5 of 6 shared publications
- Speculative and distributed simulation of many-particle collision systems
- Parallel and Distributed Particle Collision Simulation with Decentralized Control
- Coordination schemes in distributed simulation of relativistic particle transport
- MCD: Mesh Closure Detection for Localized Load Balancing in Scientific Applications
- Adaptive and Fault Tolerant Simulation of Relativistic Particle Transport with Data-Level Checkpointing
- P-CP-ABE: Parallelizing Ciphertext-Policy Attribute-Based Encryption for clouds
- Embedding GPU Computations in Hadoop
- Deploying parallelised ciphertext-policy attributed-based encryption in clouds
- Lattice-based identity-based ring signature without trapdoors
- A secured transmission model for EPC network
- GPU-accelerated DEM implementation with CUDA
- An improved algorithm to convert CAD model to MCNP geometry model based on STEP file
- Data Integrity Checking for iSCSI with Dm-verity
- L4eRTL: a robust and secure real-time architecture with L4 microkernel and para-virtualised PSE51 partitions
- Scaling up MapReduce-based Big Data Processing on Multi-GPU systems
- GPU Computations on Hadoop Clusters for Massive Data Processing
- Designing Parallel Sparse Matrix Transposition Algorithm Using CSR for GPUs
- IP Address Management in Virtualized Cloud Environments
- CRState: checkpoint/restart of OpenCL program for in-kernel applications
- CRState: In-Kernel Checkpoint/Restart of OpenCL Program Execution on GPU
- CRAC: An automatic assistant compiler of checkpoint/restart for OpenCL program
- CRAC: An Automatic Assistant Compiler of Checkpoint/Restart for OpenCL Program
- CRState: checkpoint/restart of OpenCL program for in-kernel applications
- CRState: In-Kernel Checkpoint/Restart of OpenCL Program Execution on GPU
- CRAC: An automatic assistant compiler of checkpoint/restart for OpenCL program
- CRAC: An Automatic Assistant Compiler of Checkpoint/Restart for OpenCL Program
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