Agentic AI & runtime safety
Bound delegated authority, coordinate shared approvals, and trace impact across agents in multi-agent autonomous systems.
RESEARCH LEDGER · FIELD NOTES
Intelligent systems.
Questions that can be tested.
Ten years across wireless networking, agentic AI, and applied machine learning, from hybrid VLC/RF architectures to runtime safety for autonomous agents. “I design intelligent systems, then prove them against the real world.”
FOUR RESEARCH DIRECTIONS
From agents to networks and physical context.
Intelligent communications
Visible Light Communication and hybrid VLC/RF or VLC/WiFi networks, from experimental testbeds to seamless handover.
Applied machine learning
Reinforcement learning, edge deployment, and forecasting models for agricultural IoT, energy, and public-safety communications.
Quantum-safe systems
Quantum communications and post-quantum IoT security for networks that must remain dependable under new threat models.
EXPERIENCE
Places where I
have worked.
- 2025 · Present
Lecturer & Researcher
Hanoi School of Business and Management, VNU
Hanoi, Vietnam - 2024 · 2025
Lecturer & Researcher
Posts and Telecommunications Institute of Technology
Hanoi, Vietnam - 2020 · 2023
Researcher
ENLIGHT'EM, University of Palermo
Palermo, Italy - 2022 · 2023
Visiting Researcher
Toshiba Research Europe Limited
Bristol, United Kingdom - 2018 · 2019
Research Trainee
VTT Technical Research Centre of Finland
Oulu, Finland - 2014 · 2016
Wireless Communication Engineer
Ascent Communication Technology
Hanoi, Vietnam
RECENT PUBLICATIONS
A short register of the publication record.
- 01
Data driven adaptive SVC control for 110 kV substations using machine learning and edge deployment validation
- 02
Smart and Sustainable Agriculture: Offline Reinforcement Learning for Intelligent Handover in Hybrid VLC/RF Agricultural IoT Networks
- 03
Multi-Agent Systems for Nontraditional Financial Security: Architecture, mechanisms, stress testing, and policy implications
- 04
Towards food sustainability and security: Crop-aware network optimization using multi-agent reinforcement learning in hybrid VLC/RF systems
- 05
A Predictive Machine Learning Framework for Proactive Customer Satisfaction Management in Electricity
- 06
Smart and Sustainable Agriculture: Offline Reinforcement Learning for Intelligent Handover in Hybrid VLC/RF Agricultural IoT Networks
RECOGNITION
Recognition recorded in the portfolio.
Best Poster Award · ACM MobiCom
3rd Place · ACM MobiCom Student Research Competition
Best Presentation Award · ICCCAS
Best Presentation Award · IEEE ICCC
1st Prize · Kickstart UniOulu Finals
A QUESTION WORTH OPENING