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A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.
Pages
Posts
Future Blog Post
Published:
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Blog Post number 4
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 2
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 1
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
projects
Past Projects
Published:
Projects with University of South Florida and Moffitt Cancer Center, Tampa, Florida, USA
publications
Csnas: Contrastive self-supervised learning neural architecture search via sequential model-based optimization
Published in IEEE Transactions on Artificial Intelligence, 2021
This paper presents CSNAS, a contrastive self-supervised learning approach for neural architecture search via sequential model-based optimization.
Recommended citation: Nguyen, N., Chang, J.M. (2021). "Csnas: Contrastive self-supervised learning neural architecture search via sequential model-based optimization." IEEE Transactions on Artificial Intelligence. 3(4), pp.609-624.
A new preprocessing approach to improve the performance of CNN-based skin lesion classification
Published in Medical & Biological Engineering & Computing, 2021
This paper proposes a new preprocessing approach to improve CNN-based skin lesion classification performance.
Recommended citation: Zanddizari, H., Nguyen, N., Zeinali, B., Chang, J.M. (2021). "A new preprocessing approach to improve the performance of CNN-based skin lesion classification." Medical & Biological Engineering & Computing. 59(5), pp.1123-1131.
Bayesian quantum neural networks
Published in IEEE Access, 2022
This paper introduces Bayesian quantum neural networks.
Recommended citation: Nguyen, N., Chen, K.C. (2022). "Bayesian quantum neural networks." IEEE Access. 10, pp.54110-54122.
Quantum embedding search for quantum machine learning
Published in IEEE Access, 2022
This paper proposes quantum embedding search methods for quantum machine learning.
Recommended citation: Nguyen, N., Chen, K.C. (2022). "Quantum embedding search for quantum machine learning." IEEE Access. 10, pp.41444-41456.
Quantum DNA Encoder: A Case-study in gRNA Analysis
Published in The IEEE Computers, Software, and Applications Conference (COMPSAC 2024), 2024
This paper presents a quantum DNA encoder with a case study in gRNA analysis, presented at COMPSAC 2024.
Recommended citation: Nguyen, P.N. (2024). "Quantum DNA Encoder: A Case-study in gRNA Analysis." The IEEE Computers, Software, and Applications Conference (COMPSAC 2024).
Pathway-Capsule Neural Networks
Published in The 13th Conference on Information Technology and Its Applications (CITA 2024), 2024
This paper introduces pathway-capsule neural networks, published in CITA 2024 International Proceedings.
Recommended citation: Nguyen, P.N. (2024). "Pathway-Capsule Neural Networks." CITA 2024 International Proceedings, Volume 2.
Biomarker discovery with quantum neural networks: A case-study in ctla4-activation pathways
Published in BMC Bioinformatics, 2024
This paper explores biomarker discovery using quantum neural networks, with a case study in CTLA4-activation pathways.
Recommended citation: Nguyen, P.N. (2024). "Biomarker discovery with quantum neural networks: A case-study in ctla4-activation pathways." BMC Bioinformatics. 25(1), pp.1-22.
Abstract B109: Reinforcing risk prediction for intraductal papillary mucinous neoplasms of the pancreas with AI-optimized nucleotide-to-amino acid analyses
Published in Cancer Research, 2024
This abstract presents AI-optimized nucleotide-to-amino acid analyses for reinforcing risk prediction of intraductal papillary mucinous neoplasms of the pancreas.
Recommended citation: Nguyen, N., Teer, J.K., Park, M.A., McDonald, P., Fleming, J.B., Permuth, J.B., Chen, K.C., Karolak, A. (2024). "Abstract B109: Reinforcing risk prediction for intraductal papillary mucinous neoplasms of the pancreas with AI-optimized nucleotide-to-amino acid analyses." Cancer Research. 84(2_Supplement), pp.B109-B109.
The duality game: a quantum algorithm for body dynamics modeling
Published in Quantum Information Processing, 2024
This paper presents a quantum algorithm called the duality game for body dynamics modeling.
Recommended citation: Nguyen, P.N. (2024). "The duality game: a quantum algorithm for body dynamics modeling." Quantum Information Processing. 23(1), p.21.
A quantum neural network for sequential data analysis in machine learning
Published in Quantum Machine Intelligence, 2024
This paper proposes a quantum neural network for sequential data analysis in machine learning.
Recommended citation: Nguyen, P.N. (2024). "A quantum neural network for sequential data analysis in machine learning." Quantum Machine Intelligence. 6(2), p.88.
Quantum Tunneling With Linear Potential: Case Studies in Biological Processes
Published in IEEE Transactions on Molecular, Biological, and Multi-Scale Communications, 2024
This paper studies quantum tunneling with linear potential through case studies in biological processes.
Recommended citation: Nguyen, P.N. (2024). "Quantum Tunneling With Linear Potential: Case Studies in Biological Processes." IEEE Transactions on Molecular, Biological, and Multi-Scale Communications.
Self-Supervision with Quantum Classifiers
Published in 2024 International Symposium on Nonlinear Theory and its Applications, 2024
This paper presents self-supervision techniques with quantum classifiers, presented at the 2024 International Symposium on Nonlinear Theory and its Applications.
Recommended citation: Tran, M.H., Nguyen, N.H., Nguyen, P.N., Ngo, S.H. (2024). "Self-Supervision with Quantum Classifiers." 2024 International Symposium on Nonlinear Theory and its Applications.
Quantum Word Embedding for Quantum Machine Learning
Published in Physica Scripta, 2024
This paper introduces quantum word embedding for quantum machine learning applications.
Recommended citation: Nguyen, P.N. (2024). "Quantum Word Embedding for Quantum Machine Learning." Physica Scripta. DOI: 10.1088/1402-4896/ad6299.
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Paper Title Number 6, with math \(E=mc^2\)
Published in GitHub Journal of Bugs, 2024
This paper is about a famous math equation, \(E=mc^2\)
Recommended citation: Your Name, You. (2024). "Paper Title Number 3." GitHub Journal of Bugs. 1(3).
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A Model of Quantum Tunneling with Knots and Braid Operators
Published in THE 2nd INTERNATIONAL CONFERENCE ON CRYPTOGRAPHY AND INFORMATION SECURITY, 2025
This paper presents a model of quantum tunneling using knots and braid operators, presented at the 2nd International Conference on Cryptography and Information Security.
Recommended citation: Nguyen, P.N. (2025). "A Model of Quantum Tunneling with Knots and Braid Operators." THE 2nd INTERNATIONAL CONFERENCE ON CRYPTOGRAPHY AND INFORMATION SECURITY. In proceeding.
Synthesized sgRNA databases with optimal GC-content as Davenport-Schinzel sequences
Published in International Conference on Health Science and Technology – ICHST, 2025
This paper synthesizes sgRNA databases with optimal GC-content modeled as Davenport-Schinzel sequences, presented at the International Conference on Health Science and Technology.
Recommended citation: Nguyen, P.N. (2025). "Synthesized sgRNA databases with optimal GC-content as Davenport-Schinzel sequences." International Conference on Health Science and Technology – ICHST. In proceeding.
Modeling T Helper Cell Dynamics and Cytokine Profiles with Quantum Neural Networks
Published in International Journal of Modern Physics C, 2025
This paper models T helper cell dynamics and cytokine profiles using quantum neural networks.
Recommended citation: Nguyen, P.N. (2025). "Modeling T Helper Cell Dynamics and Cytokine Profiles with Quantum Neural Networks." International Journal of Modern Physics C. In proceeding.
A Continuous-Time Framework for Adaptive Asset Allocation
Published in The International Conference on Optimization, Modeling, Simulation, and Analytics (COMOSA), 2025
This paper presents a continuous-time framework for adaptive asset allocation, presented at COMOSA 2025.
Recommended citation: Nguyen, P.N., Tran, N.T. (2025). "A Continuous-Time Framework for Adaptive Asset Allocation." The International Conference on Optimization, Modeling, Simulation, and Analytics (COMOSA). In proceeding.
Quantum technology: a financial risk assessment
Published in Digital Finance, 2025
This paper provides a financial risk assessment of quantum technology.
Recommended citation: Nguyen, P.N. (2025). "Quantum technology: a financial risk assessment." Digital Finance. pp.1-40.
Neural Manifolds and Cognitive Consistency: A New Approach to Memory Consolidation in Artificial Systems
Published in arXiv, 2025
This paper introduces a mathematical framework unifying neural population dynamics, hippocampal sharp wave-ripple generation, and cognitive consistency constraints inspired by Heider theory, using low-dimensional manifold representations for memory consolidation modeling.
Recommended citation: Nguyen, P.N. (2025). "Neural Manifolds and Cognitive Consistency: A New Approach to Memory Consolidation in Artificial Systems." arXiv preprint arXiv:2503.01867.
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LOTUS: Layer-ordered Temporally Unified Schedules For Quantum Approximate Optimization Algorithms
Published in arXiv, 2026
This paper introduces LOTUS (Layer-Ordered Temporally-Unified Schedules), a framework that restructures QAOA from a high-dimensional, chaotic search into a low-dimensional dynamical system using a Hybrid Fourier-Autoregressive mapping.
Recommended citation: Nguyen, P.N. (2026). "LOTUS: Layer-ordered Temporally Unified Schedules For Quantum Approximate Optimization Algorithms." arXiv preprint arXiv:2601.07851.
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talks
Advancing Modeling and biomarker identification in Biomedicine Using Quantum Machine Intelligence
Published:
teaching
Teaching at Phenikaa University
Undergraduate courses, PHENIKAA University, 2024
Teaching:
- Distributed Systems and Applications (CSE702063)
- Data Visualization (CSE702060)
- Neural networks and Deep Learning (CSE703037)
- Human-Computer Inference (CSE703016)
- Discrete Mathematics (CSE703024)
- Mentor several undergraduate students for research in Quantum Machine Learning
Teaching at National Economics University (NEU)
Undergraduate courses, National Economics University, Information Technology Department, 2024
Teaching:
- Discrete mathematics
- Operating system
writing
My First Writing
Published:
This is my first writing piece.