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Trang Do
PeerJ Editor & Reviewer
1,365 Points

Contributions by role

Reviewer 165
Editor 1,200

Contributions by subject area

Computer Vision
Data Mining and Machine Learning
Artificial Intelligence
Data Science
Natural Language and Speech
Visual Analytics
Human-Computer Interaction
Algorithms and Analysis of Algorithms
Social Computing
Computational Biology
Optimization Theory and Computation
Neural Networks
Autonomous Systems
Robotics
Multimedia
Graphics
Sentiment Analysis
Cryptography
Digital Libraries
Text Mining
Computational Linguistics

Trang Do

PeerJ Editor & Reviewer

Summary

Dr. Trang Do earned her PhD degree from the National University of Singapore in 2013. She is a proactive and motivated educator and data scientist, showcasing a track record of effectively managing expansive and intricate projects alongside engagements with stakeholders and government agencies. Her expertise spans data and computer science, coupled with a foundation in economics and bioinformatics, driving an ongoing pursuit of professional development. Her research interests encompass a wide scope within data science, intelligent systems, and interdisciplinary computing. Presently, her primary focus centers on machine learning, deep learning, explainable AI, data analysis, and visualization, particularly within the realms of health informatics, drug discovery, bioinformatics, tourism, and intelligent systems.

Artificial Intelligence Bioinformatics Computer Vision Data Mining & Machine Learning Data Science Genomics Medical Genetics Multimedia

Editorial Board Member

PeerJ Computer Science

Work details

Senior Lecturer

Wellington Institute of Technology
School of Business and Information and Technology
Senior Lecturer in IT

Websites

  • Google Scholar

PeerJ Contributions

  • Edited 11

Academic Editor on

July 21, 2025
Predicting sport event outcomes using deep learning
Jianxiong Gao, Yi Cheng, Jianwei Gao
https://doi.org/10.7717/peerj-cs.3011
June 5, 2025
Enhancing book genre classification with BERT and InceptionV3: a deep learning approach for libraries
Xinting Yang, Zehua Zhang
https://doi.org/10.7717/peerj-cs.2934
May 28, 2025
Deep learning model for gastrointestinal polyp segmentation
Zitong Wang, Zeyi Wang, Pengyu Sun
https://doi.org/10.7717/peerj-cs.2924
May 28, 2025
Native language identification from text using a fine-tuned GPT-2 model
Yuzhe Nie
https://doi.org/10.7717/peerj-cs.2909
March 10, 2025
Adversarial feature learning for semantic communication in human 3D reconstruction
Shaojiang Liu, Jiajun Zou, Zhendan Liu, Meixia Dong, Zhiping Wan
https://doi.org/10.7717/peerj-cs.2731
March 7, 2025
Customizable pattern synthesis: a deep generative approach for lantern designs
Mengran Yan, Chun Tang, Jida Yan, Siti Suhaily Surip
https://doi.org/10.7717/peerj-cs.2732
February 28, 2025
Leveraging LLaMA2 for improved document classification in English
Jia Xu
https://doi.org/10.7717/peerj-cs.2740
February 11, 2025
Automated essay scoring with SBERT embeddings and LSTM-Attention networks
Yuzhe Nie
https://doi.org/10.7717/peerj-cs.2634
November 26, 2024
Enhanced detection of accounting fraud using a CNN-LSTM-Attention model optimized by Sparrow search
Peifeng Wu, Yaqiang Chen
https://doi.org/10.7717/peerj-cs.2532
October 9, 2024
Ensembles of decision trees and gradient-based learning for employee turnover rate prediction
Chunyang Zhang, Wenjing Han
https://doi.org/10.7717/peerj-cs.2387
July 22, 2024
Deniable ring signature scheme based on the ISRSAC digital signature algorithm
Yanshuo Zhang, Yuqi Yuan, Ning Liu, Ying Chen, Youheng Dong
https://doi.org/10.7717/peerj-cs.2190