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Gang Mei
PeerJ Editor, Author & Reviewer
2,685 Points

Contributions by role

Author 135
Reviewer 15
Editor 2,535

Contributions by subject area

Distributed and Parallel Computing
Spatial and Geographic Information Systems
Artificial Intelligence
Social Computing
Computer Vision
Data Mining and Machine Learning
Bioinformatics
Computational Biology
Algorithms and Analysis of Algorithms
Scientific Computing and Simulation
Computer Education
Programming Languages
Software Engineering
Data Science
Natural Language and Speech
Network Science and Online Social Networks
Optimization Theory and Computation
Human-Computer Interaction
Operating Systems
Emerging Technologies
Visual Analytics
Computer Architecture
Mobile and Ubiquitous Computing
Computational Linguistics
Computer Aided Design
Databases
Cryptography
Security and Privacy
Autonomous Systems

Gang Mei

PeerJ Editor, Author & Reviewer

Summary

Dr. Gang Mei is an Associate Professor in Scientific Computing in Engineering at China University of Geosciences (Beijing). He received his Ph.D degree in 2014 from the University of Freiburg in Germany. His main research interests are in the areas of Numerical Simulation and Computational Modeling, GPU Computing, Machine Learning, Data Mining, and Network Science and Applications. He is the IEEE Member, and has served as an Academic Editor for the journals IEEE Access, and PeerJ Computer Science.

Computational Science Computer Aided Design Data Mining & Machine Learning Distributed & Parallel Computing Network Science & Online Social Networks Scientific Computing & Simulation Social Computing Spatial & Geographic Information Science Spatial & Geographic Information Systems

Editing Journals

Past or current institution affiliations

China University of Geoscience (Beijing)
China University of Geosciences

Work details

Associate Professor

China University of Geoscience (Beijing)
January 2017
School of Engineering and Technology
Scientific Computing and Simulation; GPU Computing; Machine Learning; Data Mining

Postdoc

China University of Geoscience (Beijing)
September 2014 - October 2016
School of Engineering and Technology
Scientific Simulation; GPU Computing

Lecturer

China University of Geoscience (Beijing)
October 2016 - December 2016
School of Engineering and Technology
Scientific Computing and Simulation; GPU Computing

Websites

  • ResearcherID

PeerJ Contributions

  • Articles 1
  • Edited 15
March 2, 2020
Comparative investigation of parallel spatial interpolation algorithms for building large-scale digital elevation models
Jingzhi Tu, Guoxiang Yang, Pian Qi, Zengyu Ding, Gang Mei
https://doi.org/10.7717/peerj-cs.263

Academic Editor on

May 13, 2022
An approach to fill in missing data from satellite imagery using data-intensive computing and DINEOF
José Roberto Lomelí-Huerta, Juan Pablo Rivera-Caicedo, Miguel De-la-Torre, Brenda Acevedo-Juárez, Jushiro Cepeda-Morales, Himer Avila-George
https://doi.org/10.7717/peerj-cs.979
May 11, 2021
Fusion of text and graph information for machine learning problems on networks
Ilya Makarov, Mikhail Makarov, Dmitrii Kiselev
https://doi.org/10.7717/peerj-cs.526
May 10, 2021
Event detection in finance using hierarchical clustering algorithms on news and tweets
Salvatore Carta, Sergio Consoli, Luca Piras, Alessandro Sebastian Podda, Diego Reforgiato Recupero
https://doi.org/10.7717/peerj-cs.438
May 6, 2021
On GPS spoofing of aerial platforms: a review of threats, challenges, methodologies, and future research directions
Shah Zahid Khan, Mujahid Mohsin, Waseem Iqbal
https://doi.org/10.7717/peerj-cs.507
March 8, 2021
Accelerated implementation for testing IID assumption of NIST SP 800-90B using GPU
Yewon Kim, Yongjin Yeom
https://doi.org/10.7717/peerj-cs.404
February 16, 2021
A novel framework for storage assignment optimization inspired by finite element method
Seyed-Kourosh Tabatabaei, Omid Fatahi Valilai, Ali Abedian, Mohammad Khalilzadeh
https://doi.org/10.7717/peerj-cs.378
November 9, 2020
4D street view: a video-based visualization method
Akira Kageyama, Naohisa Sakamoto
https://doi.org/10.7717/peerj-cs.305
August 10, 2020
Lean thinking by integrating with discrete event simulation and design of experiments: an emergency department expansion
Gustavo Teodoro Gabriel, Afonso Teberga Campos, Aline de Lima Magacho, Lucas Cavallieri Segismondi, Flávio Fraga Vilela, José Antonio de Queiroz, José Arnaldo Barra Montevechi
https://doi.org/10.7717/peerj-cs.284
May 4, 2020
SANgo: a storage infrastructure simulator with reinforcement learning support
Kenenbek Arzymatov, Andrey Sapronov, Vladislav Belavin, Leonid Gremyachikh, Maksim Karpov, Andrey Ustyuzhanin, Ivan Tchoub, Artem Ikoev
https://doi.org/10.7717/peerj-cs.271
March 2, 2020
An evolutionary decomposition-based multi-objective feature selection for multi-label classification
Azam Asilian Bidgoli, Hossein Ebrahimpour-Komleh, Shahryar Rahnamayan
https://doi.org/10.7717/peerj-cs.261
January 13, 2020
Improving parallel executions by increasing task granularity in task-based runtime systems using acyclic DAG clustering
Bérenger Bramas, Alain Ketterlin
https://doi.org/10.7717/peerj-cs.247
January 6, 2020
HACSim: an R package to estimate intraspecific sample sizes for genetic diversity assessment using haplotype accumulation curves
Jarrett D. Phillips, Steven H. French, Robert H. Hanner, Daniel J. Gillis
https://doi.org/10.7717/peerj-cs.243
October 28, 2019
Component-oriented acausal modeling of the dynamical systems in Python language on the example of the model of the sucker rod string
Volodymyr B. Kopei, Oleh R. Onysko, Vitalii G. Panchuk
https://doi.org/10.7717/peerj-cs.227
March 18, 2019
Increasing the degree of parallelism using speculative execution in task-based runtime systems
Bérenger Bramas
https://doi.org/10.7717/peerj-cs.183
March 4, 2019
A rotation and translation invariant method for 3D organ image classification using deep convolutional neural networks
Kh Tohidul Islam, Sudanthi Wijewickrema, Stephen O’Leary
https://doi.org/10.7717/peerj-cs.181