From Imperial to Accra: Building solutions for urban heat

Chiebuka Christopher is a PhD student in the Department of Materials at Imperial. His research focuses on Nitinol-based mechanical metamaterials, where shape-memory alloys are used to create structures that are both strong and capable of large, reversible shape change.
Alongside his doctoral work, Christopher recently took part in the Imperial–AIMS Global Fellows Programme, where interdisciplinary teams developed solutions to address extreme urban heat in cities such as Accra. His team went on to win the programme with a set of scalable ideas spanning early warning systems, passive cooling infrastructure, and wearable cooling technology.
We spoke to Christopher about his PhD research, his experience on the Global Fellows Programme, and how materials science can be used to tackle real-world climate challenges.
To start with, could you briefly introduce yourself and your PhD research at Imperial?
I’m a doctoral researcher in the Department of Materials at Imperial College London, working on Nitinol, a nickel-titanium shape-memory alloy, incorporated into mechanical metamaterials, both wire-based lattices, such as octet trusses, and kirigami-cut sheets. The lattices are hand-wired, and the kirigami sheets are laser-cut from commercially available, prefabricated Nitinol wire and sheet rather than 3D-printed, since 3D printing of Nitinol still struggles to preserve its shape-memory behaviour, largely due to compositional inhomogeneity, residual stress, and porosity introduced during printing. The motivation behind this is a long-standing trade-off in mechanical metamaterials: structures designed to morph, like origami or kirigami designs and bistable structures, tend to rely on soft, compliant materials that can’t bear much load, while structures designed to be stiff and load-bearing, like octet-truss lattices, typically can’t morph without permanently deforming. Nitinol lets us get around that because its reversible martensite-to-austenite phase transformation allows it to recover strains of 8 to 10 per cent and exert real force while doing so, combining high strength with large, recoverable shape change. My project specifically examines multiscale phase-transforming metallic mechanical metamaterials and how intrinsic microscale phase transformation within the Nitinol itself can trigger a macroscale phase transformation in the structure’s geometry. The broader aim is a new class of lightweight, high-strength structures that can sense their environment and adapt their own mechanical properties on demand, with potential applications in aerospace, deployable space structures, and soft robotics.
What first got you interested in this area of research, and how has your PhD work been developing so far?
I was drawn to shape memory alloys because they’re one of the few material systems where you get genuinely “smart” behaviour for free; the material remembers a shape and snaps back to it without any electronics or actuators (thanks to my supervisor for proposing this area to me). That felt like a different category of engineering problem: instead of designing a mechanism to do something, you’re designing the material itself to do it. The PhD has progressed to full characterisation of the alloy, including tensile testing, Vickers hardness, DSC, SEM/EDX, and XRD, alongside compression testing of the lattices themselves to experimentally capture the inverted scaling law. We’re now moving into finite element modelling in Abaqus, which we haven’t started yet, to confirm those experimental findings computationally.
Could you tell us about the Imperial-AIMS Global Fellows Programme and what made you decide to apply?
The Global Fellows Programme is a joint Imperial-AIMS initiative bringing together fellows from Imperial and AIMS centres across Africa for an intensive, collaborative accelerator week. This year’s topic was “Addressing heat-driven consequences of climate change in cities”. I applied because it offered something my PhD doesn’t always give me day-to-day: a chance to take the materials science understanding from the lab and ask what it could do for a real problem outside it. I also wanted the experience of working in a genuinely interdisciplinary, multinational team under accelerator-style time pressure, which is a very different muscle from academic research.
Can you walk us through your team project and the problem you were trying to solve?
Our team, PUM-CLID (Group 3), focused on extreme heat in Accra, where temperatures are projected to rise 1.5-2.5°C by 2050, and heat risk falls very unevenly across the population. Ghana already has an Early Warning for All roadmap in place, but the gap we identified is the one our deck opens with: warnings exist, but they don’t reliably translate into action, especially for people most exposed, like outdoor traders, older adults, and manual workers. So we developed three solutions. The first is an early-warning engine, built on satellite data and an LSTM model that forecasts heat stress 24-48 hours ahead, sending alerts directly to stakeholders such as Ghana’s Meteorological Agency, the Ministry of Health, and the Accra Metropolitan Assembly. The second is CoolShade, a solar-powered street shade with phase-change-material cooling for public spaces. The third is CoolBand, a wearable that uses Nitinol’s elastocaloric cooling at pulse points, the neck, wrist, and palm, to cool the body using nothing but the wearer’s own movement.
How did your team develop the idea during the programme?
It moved fast. We started from the EW4All framework’s four pillars, risk knowledge, monitoring and forecasting, dissemination, and response capability, and quickly realised most existing systems are strong on the first three and weak on the fourth, the actual response. From there, the team split into the early warning engine, CoolShade, and CoolBand. The early warning engine drew on the fact that we came from genuinely diverse backgrounds, public health, materials science, climate science, and data science, which meant we could build something that actually connected the forecasting side with the practicalities of getting a warning acted on. CoolShade was Stephen Nyaranga’s idea, drawing on his background in solar engineering and public infrastructure. CoolBand was mine, although the underlying concept was first introduced to me by my supervisor, Professor Minh-Son Pham, so credit there really belongs to him and to his postdoc, Dr Junyu Chen, who specialises in elastocaloric cooling and whose work shaped how we thought about applying it here. For me, it started as a fun scientific curiosity: that the same transformation behaviour we study for structural purposes could just as well be used to move heat. The workshop gave us the push to actually sell the idea to others.
What do you think made your idea stand out?
It’s hard to say for certain, since the other groups did so well too, so this is really just our own thought on it rather than a definitive claim. But a few things probably helped. It is novel: the solutions are globally scalable, and none of the three pieces requires grid electricity. CoolBand runs purely on the wearer’s own movement, no battery and no electricity, which matters for busy people moving through the city all day rather than sitting near a power source, and it’s estimated to be quite affordable to produce. CoolShade works on the same principle at the community scale: solar power during the day, with the phase-change material storing enough energy to keep it working through the night. And the early warning engine wasn’t just a slide concept; we had it running as a live dashboard with a QR code the judges and audience could actually scan and interact with. Among the three, we covered individuals, communities, and the forecasting layer that connects them all. I also think the team worked really well together throughout, and we answered the judges’ questions confidently, which probably mattered just as much as the idea itself.
How has this experience influenced your thinking going forward, both for your research and beyond Imperial?
It’s sharpened something I’d only half-articulated before: the same material science I study for my PhD objectives in the lab has a direct line to solving a real and totally different problem for someone moving in the heat, not just in Accra but globally. Being announced the winner on top of that was genuinely inspiring and encouraging; it made the idea feel less like a workshop exercise and more like something actually worth pursuing further. Going forward, I want to hold onto that translational thread, both in how I frame the PhD work itself, since the inverted scaling law isn’t just an academic curiosity but points toward tunable, adaptive structures with real applications, and in looking for opportunities to keep developing CoolBand-type ideas alongside the core research. In fact, we’re now thinking as a team about taking it further and exploring a start-up around it in the near future. More broadly, the week reinforced how much faster and better ideas get when you put people with genuinely different expertise and lived context in a room together under a tight deadline, which is a working style I’d like to find more excuses to repeat.



















