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Loc Nguyen
PeerJ Author & Reviewer
340 Points

Contributions by role

Reviewer 340

Contributions by subject area

Algorithms and Analysis of Algorithms
Artificial Intelligence
Cryptography
Optimization Theory and Computation
Computational Biology
Brain-Computer Interface
Data Mining and Machine Learning
Blockchain
Data Science
Neural Networks
Bioinformatics
Computational Science
Computer Vision
Graphics
Natural Language and Speech
Sentiment Analysis
Computational Linguistics
Spatial and Geographic Information Systems
Human-Computer Interaction
Autonomous Systems
Robotics
Scientific Computing and Simulation

Loc Khanh Nguyen

PeerJ Author & Reviewer

Summary

As a PhD student with over 5 years of experience in Data Science, I am focused on deepening my expertise in advanced machine learning and deep learning algorithms for predictive modeling and pattern recognition. I also refine my computer vision skills to communicate complex findings effectively. Concurrently, I contribute my specialized knowledge to collaborative research projects tackling real-world challenges across domains. This multifaceted approach allows me to continuously enhance my abilities as a data scientist while advancing the field's knowledge base.

Artificial Intelligence Computational Biology Computer Vision

Past or current institution affiliations

Victoria University of Wellington

Work details

PhD

Victoria University of Wellington
June 2022 - December 2025
Mathematics and Statistics
- Performing data labeling, data processing, and refinement. - Developing and evaluating computational models using data science methods. - Contributed to the preparation of research papers. - Contributed to developing deep learning models for simulating groundwater hydrology, leading to improvements in hydrological predictions for environmental applications. - Played a key role in creating a system for vertebral deformity scoring in - King salmon, which enhanced data accuracy and analysis for fish health assessments.

Websites

  • Google Scholar
  • LinkedIn

PeerJ Contributions

  • Reviewed 5

Signed reviews submitted for articles published in PeerJ Note that some articles may not have the review itself made public unless authors have made them open as well.

January 3, 2025
Improving drug–target affinity prediction by adaptive self-supervised learning
Qing Ye, Yaxin Sun
https://doi.org/10.7717/peerj-cs.2622
November 21, 2024
A transformer-based framework for enterprise sales forecasting
Yupeng Sun, Tian Li
https://doi.org/10.7717/peerj-cs.2503
November 18, 2024
Predicting hotel booking cancellations using tree-based neural network
Dan Yang, Xiaoling Miao
https://doi.org/10.7717/peerj-cs.2473
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
February 13, 2024
Enhanced trajectory tracking for quadrotors: disturbance observer state feedback control
Siyu Ren, Liuping Wang, Robin Ping Guan
https://doi.org/10.7717/peerj-cs.1861