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Shaolin Liao
PeerJ Author
600 Points

Contributions by role

Editor 600

Contributions by subject area

Artificial Intelligence
Computational Linguistics
Data Mining and Machine Learning
Natural Language and Speech
Computer Vision
Emerging Technologies
Robotics
Optimization Theory and Computation
Security and Privacy
Neural Networks
Data Science

Shaolin Liao

PeerJ Author

Summary

Dr. Liao is a Professor (Research & Teaching) at the department of Electrical and Computer Engineering of Illinois Institute of Technology, Chicago, IL, USA. He is also a R&D Staff at Argonne National Laboratory, a laboratory of Department of Energy of U.S.A. managed by UChicago Argonne LLC.

Before joining Argonne, Dr. Liao was a Postdoctoral Fellow at the Department of Physics, the City University of New York (CUNY, 2008-2010). Dr. Liao received his Ph.D. in Electrical Engineering from the University of Wisconsin, Madison, USA, in 2008 and his Bachelor Degree in Materials Science and Engineering, Tsinghua University, Beijing, China, in 2000. He is an Associate Editor of IEEE Access and a Senior Member of IEEE. He is now joining PeerJ Computer Science journal as an Associate Editor in October 2020. Dr. Liao has 3 granted patents and 1 published patent by the time of October 2020.

Dr. Liao’s research interests span multidisciplinary areas of Applied Electromagnetics: 1) Millimeter/THz wave techniques and 5G/6G; 2) Artificial Intelligence (AI) for 5G/6G big data science; 3) Fiber Lasers & Photonics; and 4) Computational Electromagnetics (CEM).

At last, by October, 2020, Prof. Liao has published more than 80 papers in reputed journals and conference proceedings, including IEEE, SPIE, and Springer. To see Prof. Liao's most recent publication, please visit his Google Scholar profile: https://scholar.google.com/citations?user=btAiN88AAAAJ&hl=en

Artificial Intelligence Computational Science Data Mining & Machine Learning Data Science Emerging Technologies Metamaterials Optimization Theory & Computation Security & Privacy

Past or current institution affiliations

Illinois Institute of Technology

Work details

Professor

Illinois Institute of Technology
February 2017
Electrical and Computer Engineering
Prof. Liao has been working in the broad area of electromagnetics (EM) techniques and its applications, which had led to more than 80 papers in reputed journals and conference proceedings, including IEEE, SPIE, and Springer. Dr. Liao’s research interests span multidisciplinary areas of Applied Electromagnetics: 1) Millimeter/THz wave techniques and 5G/6G; 2) Artificial Intelligence (AI) for 5G/6G big data science; 3) Fiber Lasers & Photonics; and 4) Computational Electromagnetics (CEM).

Websites

  • Google Scholar

PeerJ Contributions

  • Edited 3

Academic Editor on

July 12, 2024
Backlight and dim space object detection based on a novel event camera
Xiaoli Zhou, Chao Bei
https://doi.org/10.7717/peerj-cs.2192
July 5, 2024
Knowledge enhanced bottom-up affordance grounding for robotic interaction
Wen Qu, Xiao Li, Xiao Jin
https://doi.org/10.7717/peerj-cs.2097
September 1, 2021
A knowledge graph based question answering method for medical domain
Xiaofeng Huang, Jixin Zhang, Zisang Xu, Lu Ou, Jianbin Tong
https://doi.org/10.7717/peerj-cs.667