Funded research & engineering
Fifteen funded research and engineering programmes, spanning national research centres, defence and aerospace contracts, bilateral cooperations and industry development work. Each card gives the programme itself: what it set out to build, who hosted and funded it, how long it ran, and the papers it produced.
Dates are the funded span of each programme, so several run past today — the nine-year urban air mobility centre is funded to 2029. Papers counts the 42 entries on the publications page that the cards link out to.
All 15 programmes on one axis, oldest first, each bar drawn across its funded span.
Grouped into four eras, newest first. Where a programme produced papers, the identifiers link straight to the entry on the publications page.
Industry development work in Vietnam: the avionics workstream of a national rotorcraft programme.
A national rotorcraft development and manufacturing programme. Its avionics workstream covers the on-board computing and communication architecture of a modern helicopter, together with AI models for real-time flight data analytics and automatic flight control.
Korean national research grants hosted at Konkuk University: a nine-year centre for UAM digital twins, a middle-career grant on resilient smart-city services, certified neural flight control, and a mobility talent programme run as applied R&D.
The flagship programme of the decade: an AI-driven digital twin ecosystem for urban air mobility, linking eVTOL vehicle dynamics to cloud and edge simulation, dependable platforms, blockchain and federated learning, and multi-agent AI, across vehicle dynamics, cloud-in-the-loop simulation and UAM service dependability.
A talent programme run as applied R&D: graduate projects on autonomous navigation, SLAM and deep reinforcement learning, sensor-data processing and reliable vehicle service infrastructure, aligned with what the mobility industry actually needed from software.
The i-MeC2 framework: secure, reliable, multi-agent public-safety services for smart cities, built on bio-inspired collaboration and intelligent edge and cloud computing — and the quantitative models that tell an operator how much resilience a given architecture actually buys.
Learned flight controllers you can argue about formally: deep neural attitude and flight control carrying exponentially stabilizing control-Lyapunov certificates, tiltrotor transition under safety constraints, and verification machinery strong enough to certify what the network learned.
Quantitative dependability applied to operating infrastructure: active-active clouds, software-defined networks, hybrid cloud economics, naval survivability, and the reliability of an early unmanned aircraft.
A bilateral study putting a number on business continuity: how much a geographically distributed, active-active cloud is really worth once you model the sites, the links between them, and the recovery policies that connect the two.
Model-based technology assessment for high-performance hybrid cloud services — virtualized servers, software-defined networks, data-centre networks — turned into concrete guidance on redundancy, migration, rejuvenation, capacity and the cost of an SLA.
The GENESIS cloud platform for distributed, parallel streaming analytics in logistics and transportation, with active-active high availability and disaster tolerance as first-class requirements rather than afterthoughts.
Defence-funded work on integrated survivability analysis for naval vessels: the software and the analysis technique behind how a ship's mission capability degrades as its compartments and systems are damaged.
A reliability study of an advanced unmanned aerial vehicle, applying to an airframe the stochastic dependability modelling developed for data-centre infrastructure.
Small flight and space platforms built for training and survey work: a CubeSat in Hanoi, then unmanned airships, balloon payloads and survey aircraft in Seoul, where redundancy and survivability were design requirements rather than analysis.
A science-and-technology cooperation programme flying unmanned aircraft for resource exploration and environmental monitoring, and the embedded flight and mission software that made those surveys repeatable.
Unmanned airships used as a slow, stable camera platform to build three-dimensional spatial information for historical sites — aerial photogrammetry where a fixed-wing survey would be too fast and a crane too intrusive.
A near-space balloon platform built as a teaching instrument: payload electronics, on-board software and telemetry cheap enough to fly with students, close enough to a real spacecraft to teach the discipline.
Automatic control system development for an unmanned craft: the embedded hardware and software architecture, the sensing, and the closed control loop that flew it.
A 10 cm, 1 kg CubeSat built from commercial off-the-shelf parts as Vietnam's training platform and Earth-observation mission, carrying two 0.3 MP cameras, one 1.0 MP camera and temperature, magnetic-field and current sensors. Power, on-board computing and communications were made double or triple redundant so the spacecraft could survive launch vibration and the on-orbit thermal and radiation environment.