Chin-Shiuh Shieh Editor at IgMin Research
We strive to bridge various fields of science and drive the rapid evolution of research and understanding.
Biography
Chin-Shiuh Shieh received the M.S. degree in Electrical Engineering from the National Taiwan University, Taiwan, in 1991, and the Ph.D. degree in Computer Science and Engineering from National Sun Yat-Sen University, Taiwan in 2009.
In August 1991, he joined the faculty of the Department of Electronic Engineering, National Kaohsiung University of Science and Technology, Taiwan, where he currently serves as a Full Professor. His research interests include computer networking, embedded systems, computational intelligence and information security.
Research Interest
Computer Networking, Wireless Communication, Information Security, Computational Intelligence, Embedded Systems, Medical Informatics.
Editor
Work Details
Professor
National Kaohsiung University of Science and Technology
Department of Electronic Engineering
Taiwan
0000-0003-3187-458X Contribution by Topic Area
Why publish with us?
Global Visibility – Indexed in major databases
Fast Peer Review – Decision within 14–21 days
Open Access – Maximize readership and citation
Multidisciplinary Scope – Biology, Medicine and Engineering
Editorial Board Excellence – Global experts involved
University Library Indexing – Via OCLC
Permanent Archiving – CrossRef DOI
APC – Affordable APCs with discounts
Citation – High Citation Potential
Which articles are now trending?
Research Articles
- The Influence of Dynamical Downscaling and Boundary Layer Selection on Egypt’s Potential Evapotranspiration using a Calibrated Version of the Hargreaves-samani Equation: RegCM4 Approach
- LC-MS and HPLC-UV for Detecting Uremic Toxins: Two Validated Methods with Simultaneous Sensitivity and Specificity Evaluation
- Maternal Knowledge and Practices in Caring for Children under Five with Pneumonia: A Cross-Sectional Study in Vietnam
- Use of Augmented Reality as a Radiation-free Alternative in Pain Management Spinal Surgeries
- Clustering of Three-dimensional (3-D) Objects by Means of Phase- only Digital Holographic Information using Machine Learning
- Knowledge Discovery on Artificial Intelligence and Physical Therapy: Document Mining Analysis
