01 / 04
Blockchain & Smart Contracts
We study decentralized protocols, consensus systems, digital identity, and verifiable smart contract security.
Consensus•DeFi•Formal methods Details
Academic blockchain research team
Advancing blockchain research for trustworthy digital systems
We study decentralized protocols, smart contracts, network security, and privacy-preserving AI through rigorous scientific experiments.
BlockchainSmart ContractsNetwork SecurityIoT/EdgeAI SecurityDigital Twins
Layer 1: Protocol
Consensus & Network
Decentralized ledgers, sharding, and P2P routing protocols.
Layer 2: Execution
Smart Contract Logic
Formal verification, audit frameworks, and Web Assembly execution.
Layer 3: Security
Trustworthy AI & Zero-Knowledge
Privacy-preserving AI, cryptographic proofs, and vulnerability shields.
Publications:37
Research Tracks:4
Contributors:71
Projects:0
ORCID Registry:Verified
Consensus Protocols:Active
Zero-Knowledge:Crypto
Formal Methods:Audit
Publications:37
Research Tracks:4
Contributors:71
Projects:0
ORCID Registry:Verified
Consensus Protocols:Active
Zero-Knowledge:Crypto
Formal Methods:Audit
Principal Investigator
Research leadership from academic rigor to deployable systems
Tuan-Dung Tran
Principal Investigator
Principal Investigator
“We bridge the gap between abstract cryptographic theory and resilient, deployable systems through verifiable experiments and reproducible data.”
Researcher in blockchain, network security, and trustworthy digital systems.
Research Areas
Four domains. One trust layer.
Blockchain, security, edge systems, and privacy-preserving AI converge into research for dependable digital infrastructure.
01 / 04
Blockchain & Smart Contracts
- High-throughput consensus protocol modeling & sharding state sync.
- Formal verification frameworks for EVM, WASM, and Move smart contracts.
- Automated vulnerability detection and game-theoretic audits in DeFi protocols.
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02 / 04
Network & Information Security
We model attacks, detect intrusions, protect data, and design security architectures for connected systems.
IDS•Privacy•Zero trust Details
02 / 04
Network & Information Security
- Machine learning models for real-time network intrusion detection (IDS).
- Cryptographic protocols and policies for zero-trust enterprise networks.
- Lightweight cryptographic implementations for resource-constrained nodes.
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03 / 04
IoT, Edge & Digital Twins
We apply blockchain to device authentication, edge coordination, and large-scale cyber-physical environments.
Edge•IoT•Trust Details
03 / 04
IoT, Edge & Digital Twins
- Decentralized Identity (DID) architectures for secure IoT device onboarding.
- Trust negotiation and secure routing in edge computing environments.
- Verifiable digital twin synchronization using distributed ledgers.
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04 / 04
AI for Security & Privacy
We use machine learning for anomaly detection, federated learning, privacy protection, and trustworthy intelligent systems.
ML•Federated•Robustness Details
04 / 04
AI for Security & Privacy
- Privacy-preserving federated learning and secure multi-party computation.
- Auditing neural networks for robustness against adversarial evasion attacks.
- Adversarial vulnerability shielding in generative and predictive models.
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Research Philosophy
Disciplined curiosity, reproducible experiments, deployable outcomes.
Every topic starts with a precise question, is tested through transparent evidence, and is packaged as knowledge that can support a paper, prototype, or long-term student research direction.
- 1
Question
Frame a precise, falsifiable research question worth answering.
- 2
Evidence
Test it through transparent, reproducible experiments and data.
- 3
Prototype
Turn validated findings into working, measurable systems.
- 4
Publication
Package the knowledge into papers, theses, or funded projects.
Featured Publications
Recent scholarly outputs
This section reads from Firestore and can be enriched by ORCID synchronization in a later phase.
Journal-article
2026
Acheron: a market-based multi-relay architecture for adaptive and secure cross-chain communication
Tran, T.-D., Vu, Q., Huynh, B., Pham, V.-H.
Internet of Things the Netherlands
10.1016/j.iot.2025.101836
Journal-article
2026
ChainBook: Design and Evaluation of an On-Chain Order-Book DEX
Minh An Vo, Gia Bao Nguyen, Tuan-Dung Tran
Communications in Computer and Information Science
10.1007/978-3-032-21631-1_19
Journal-article
2026
ChronosRep: Entropy-regularized evidence fusion and stochastic differential trust dynamics for decentralized identity intelligence
Tuan-Dung Tran, Bao Huynh, Van-Hau Pham
Information Sciences
10.1016/j.ins.2026.123323
Journal-article
2026
CrossGuard: a multi-modal few-shot learning framework for detecting cross-chain smart contract vulnerabilities
Tuan-Dung Tran, Khoi Le Quoc, Van-Hau Pham
Cluster Computing
10.1007/s10586-026-06298-0
Contributors
The people behind the research directions
Contributors are derived from published research, with optional profiles maintained by the research group.
TT
Tuan-Dung Tran
Publication contributor
20 publications
PV
Pham, V.-H.
Publication contributor
15 publications
TT
Tran, T.-D.
Publication contributor
14 publications
VP
Van-Hau Pham
Publication contributor
14 publications
Current Projects
Projects moving from experiments to prototypes
Featured projects help students select papers, reproduce results, and build durable research capabilities.
Projects are being structured
The homepage will show featured projects when data is available in the projects collection or legacy research records.
Recruitment
Opportunities for students who want to do serious blockchain & security research.
Read & critique
Read papers and write sharp, critical technical notes.
Experiment
Reproduce results, measure honestly, present the evidence.
Build
Ship prototypes that grow into projects or publications.
Contact