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Wenbing Zhao
PeerJ Author & Reviewer
3,200 Points

Contributions by role

Reviewer 15
Editor 3,185

Contributions by subject area

Infectious Diseases
Human-Computer Interaction
Computational Science
Biophysics
Anatomy and Physiology
Kinesiology
Orthopedics
Computer Vision
Embedded Computing
Emerging Technologies
Real-Time and Embedded Systems
Software Engineering
Graphics
Data Mining and Machine Learning
Mobile and Ubiquitous Computing
Natural Language and Speech
Sentiment Analysis
Internet of Things
Blockchain
Artificial Intelligence
Computer Education
Data Science
Neural Networks
Algorithms and Analysis of Algorithms
Security and Privacy
Distributed and Parallel Computing
Cryptocurrency
Autonomous Systems
Computer Networks and Communications
Cryptography
Network Science and Online Social Networks
Bioinformatics
Databases
Optimization Theory and Computation
Scientific Computing and Simulation
Computer Aided Design
Computational Linguistics
Text Mining

Wenbing Zhao

PeerJ Author & Reviewer

Summary

My primary expertise is in the field of dependable distributed system where I have published extensively on blockchain, Byzantine fault tolerance, intrusion tolerance, replication, and distributed consensus. My secondary expertise, which is also what I find extremely exciting currently, is in the field of smart and connected healthcare with particular interest in human motion recognition, human computer interface, computer vision, machine learning, and fuzzy Inference.

Artificial Intelligence Autonomous Systems Blockchain Computer Networks & Communications Computer Vision Data Mining & Machine Learning Data Science Databases Distributed & Parallel Computing Emerging Technologies Human-Computer Interaction Mobile & Ubiquitous Computing Real-Time & Embedded Systems Security & Privacy World Wide Web & Web Science

Past or current institution affiliations

Cleveland State University

Work details

Professor of Electrical and Computer Engineering

Cleveland State University
Electrical and Computer Engineering
I have a great passion for teaching innovation. My unique approach is to incorporate cutting edge technologies in the undergraduate and graduate curricula. The benefits are manifold: It matches the strong student interest in learning application development skills for cutting edge computer technologies. It provides great opportunity for students to learn about real-world software engineering ans well as how to solve multidisciplinary problems. It enhances the breath and depth of the Electrical and Computer Engineering curricula.

Websites

  • Google Scholar
  • ResearchGate

PeerJ Contributions

  • Edited 17

Academic Editor on

March 15, 2024
Sensor-based systems for the measurement of Functional Reach Test results: a systematic review
Luís Francisco, João Duarte, António Nunes Godinho, Eftim Zdravevski, Carlos Albuquerque, Ivan Miguel Pires, Paulo Jorge Coelho
https://doi.org/10.7717/peerj-cs.1823
March 7, 2024
Electroencephalography (EEG) based epilepsy diagnosis via multiple feature space fusion using shared hidden space-driven multi-view learning
Xiujian Hu, Yicheng Xie, Hui Zhao, Guanglei Sheng, Khin Wee Lai, Yuanpeng Zhang
https://doi.org/10.7717/peerj-cs.1874
February 29, 2024
CuentosIE: can a chatbot about “tales with a message” help to teach emotional intelligence?
Antonio Ferrández, Rocío Lavigne-Cerván, Jesús Peral, Ignasi Navarro-Soria, Ángel Lloret, David Gil, Carmen Rocamora
https://doi.org/10.7717/peerj-cs.1866
December 15, 2023
A deep learning based approach for extracting Arabic handwriting: applied calligraphy and old cursive
Saber Zerdoumi, NZ Jhanjhi, Riyaz Ahamed Ariyaluran Habeeb, Ibrahim Abaker Targio Hashem
https://doi.org/10.7717/peerj-cs.1465
October 17, 2023
Multi-objective test selection of smart contract and blockchain applications
Bader Alkhazi, Amin Alipour
https://doi.org/10.7717/peerj-cs.1587
September 4, 2023
Optimization of predictive performance of intrusion detection system using hybrid ensemble model for secure systems
Qaiser Abbas, Sadaf Hina, Hamza Sajjad, Khurram Shabih Zaidi, Rehan Akbar
https://doi.org/10.7717/peerj-cs.1552
May 19, 2023
Towards the portability of knowledge in reinforcement learning-based systems for automatic drone navigation
José M. Barreiro, Juan A. Lara, Daniel Manrique, Peter Smith
https://doi.org/10.7717/peerj-cs.1402
April 6, 2022
State-of-the-art violence detection techniques in video surveillance security systems: a systematic review
Batyrkhan Omarov, Sergazi Narynov, Zhandos Zhumanov, Aidana Gumar, Mariyam Khassanova
https://doi.org/10.7717/peerj-cs.920
January 5, 2022
Microservice security: a systematic literature review
Davide Berardi, Saverio Giallorenzo, Jacopo Mauro, Andrea Melis, Fabrizio Montesi, Marco Prandini
https://doi.org/10.7717/peerj-cs.779
October 12, 2021
Architecture design of a reinforcement environment for learning sign languages
Luis Naranjo-Zeledón, Mario Chacón-Rivas, Jesús Peral, Antonio Ferrández
https://doi.org/10.7717/peerj-cs.740
September 29, 2021
Blockchain support for execution, monitoring and discovery of inter-organizational business processes
Miguel Morales-Sandoval, José A. Molina, Heidy M. Marin-Castro, Jose Luis Gonzalez-Compean
https://doi.org/10.7717/peerj-cs.731
July 14, 2021
Improving patient rehabilitation performance in exercise games using collaborative filtering approach
Waidah Ismail, Ismail Ahmed Al-Qasem Al-Hadi, Crina Grosan, Rimuljo Hendradi
https://doi.org/10.7717/peerj-cs.599
May 7, 2021
Detection of diabetic retinopathy using a fusion of textural and ridgelet features of retinal images and sequential minimal optimization classifier
Lakshmana Kumar Ramasamy, Shynu Gopalan Padinjappurathu, Seifedine Kadry, Robertas Damaševičius
https://doi.org/10.7717/peerj-cs.456
June 29, 2020
A machine learning approach to automatic detection of irregularity in skin lesion border using dermoscopic images
Abder-Rahman Ali, Jingpeng Li, Guang Yang, Sally Jane O’Shea
https://doi.org/10.7717/peerj-cs.268
March 30, 2020
Towards a blockchain-based certificate authentication system in Vietnam
Binh Minh Nguyen, Thanh-Chung Dao, Ba-Lam Do
https://doi.org/10.7717/peerj-cs.266
August 11, 2015
Field-measured drag area is a key correlate of level cycling time trial performance
James E. Peterman, Allen C. Lim, Ryan I. Ignatz, Andrew G. Edwards, William C. Byrnes
https://doi.org/10.7717/peerj.1144 PubMed 26290797
May 27, 2015
Forensic analysis of video steganography tools
Thomas Sloan, Julio Hernandez-Castro
https://doi.org/10.7717/peerj-cs.7