Computational Intelligence
Efficient learning, adaptive algorithms, and optimization for systems operating with limited data, energy, and compute.
VIEW AREA →Research at the physical–digital boundary
Systems that sense.
Intelligence that acts.
CIES Laboratory advances computational intelligence, embedded electronics, and autonomous systems through research grounded in real-world constraints.
CIES
RESEARCH CORE
RESEARCH CORE
SENSING
LEARNING
CONTROL
HARDWARE
Compute
Algorithms shaped by physical constraints
Connect
Sensing and embedded electrical systems
Act
Robust autonomy in the real world
Research domains
One loop, three layers of inquiry.
Our program follows information from the moment a system senses its environment to the moment it makes and executes a decision.
Embedded & Electrical Systems
Hardware-aware intelligence connecting signal acquisition, embedded electronics, and dependable real-time processing.
VIEW AREA →Autonomous Systems
Machines that perceive uncertainty, make transparent decisions, and act safely alongside people.
VIEW AREA →How we work
Research built to survive contact with reality.
CIES follows a prototype-led workflow: define a measurable question, build the smallest useful system, evaluate it under constraints, and document what can be reproduced.
Question
Frame a precise research question around real sensing, computation, energy, latency, or control constraints.
Prototype
Translate the hypothesis into a working hardware–software experiment with observable behaviour.
Evaluate
Measure accuracy, robustness, resource use, failure modes, and reproducibility—not only headline performance.
Share
Publish research notes, methods, limitations, and reusable artefacts when they are ready for public review.
Research programmes
Focused directions, connected by systems thinking.
The laboratory currently develops concept studies across four mutually reinforcing programmes.
CI-01
Resource-aware intelligence
Learning and optimization methods designed for limited compute, energy, memory, bandwidth, and labelled data.
ES-02
Smart sensing systems
Signal acquisition, embedded processing, and reliable inference pipelines that preserve useful information close to the source.
AS-03
Trustworthy autonomy
Adaptive control and decision systems that expose uncertainty, operate safely, and degrade predictably.
HS-04
Human–AI systems
Interfaces and collaborative decision tools that keep human intent, oversight, and accountability inside the loop.
Collaborate
Bring a difficult systems problem.
CIES welcomes conversations around prototype research, applied evaluation, reproducible experimentation, and interdisciplinary collaboration.
Areas of interest
- Embedded and edge intelligence
- Robust sensing and signal processing
- Adaptive and autonomous control
- Human-centred intelligent tools
ĐQT
Principal Investigator
Đỗ Quốc Trọng
Founder & Principal Investigator
Leading an interdisciplinary research program across intelligent computation, embedded systems, and autonomy—with an emphasis on ideas that can move from models into working systems.
Edge Intelligence
Embedded Systems
Autonomous Control
Human–AI Systems
View PI profile →