Department of Engineering

The University’s debut exhibit at the 2025 RHS Chelsea Flower Show, which was built by the Department of Engineering’s Design and Technical Services team, has won a prestigious silver-gilt medal.

Professor Gábor Csányi has been elected as a Fellow of the Royal Society, the UK’s national academy of sciences and the oldest science academy in continuous existence.

Researchers from the University of Cambridge convened a workshop and produced a policy brief to identify opportunities to leverage AI to improve water quality.

Professor Vikram Deshpande is the 2025 recipient of the prestigious Nadai Medal in recognition of significant contributions and outstanding achievements which broaden the field of materials engineering.

Professor Norman Fleck is the 2025 recipient of the prestigious Timoshenko Medal in recognition of distinguished contributions to the field of applied mechanics.

Scientists are exploring ways to cool the Earth alongside vital emissions reduction.

EnterpriseTECH is a key milestone for the Centre for Doctoral Training in Future Infrastructure and Built Environment: Unlocking Net Zero (FIBE3 CDT) students, equipping them with the skills to bridge the gap between STEM and business, critical for the success of their Net Zero research.

Researchers from the Whittle Laboratory and the Cambridge Institute for Sustainability Leadership’s (CISL) Aviation Impact Accelerator (AIA) were among the passengers on the first demonstration flights out of Cambridge Airport in a two-person Pipistrel Velis Electro aircraft.

Researchers have developed a handheld device that could potentially replace stethoscopes as a tool for detecting certain types of heart disease.

Alumnus Adrian Bull MBE is a Professor at the University of Manchester, within the Dalton Nuclear Institute. He took up the role in 2021 after a career in the nuclear industry.  

Students and early-career professionals of all disciplines are encouraged to apply to the Falling Walls Lab UK – an international competition that challenges you to pitch your innovative idea in just three minutes.

Dr Amparo Güemes and PhD student Ruben Ruiz-Mateos Serrano have been awarded a fellowship and scholarship respectively by the Worshipful Company of Scientific Instrument Makers (WCSIM).

Neutreeno helps businesses tackle Scope 3 emissions by offering advanced tools to decarbonise supply chains up to 50 times faster than traditional methods, driving the global shift to a low-carbon economy. 

More than 700 state school students have seen their A-level grades rise and have secured places at top universities after receiving free Cambridge tuition through a UK-wide STEM SMART initiative.

Professor Nathan Crilly’s book ‘Design thinking and other approaches’ focuses on what people from different disciplines bring to problem solving and creative work.

Shagun Garg, a second-year PhD student in the Department of Engineering at the University of Cambridge, has been recognised as a Geospatial World Rising Star 2025, joining an international cohort of young professionals who are shaping the future of geospatial science and technology.

The team behind Neela Biotech, a company co-founded by early career researcher Dr Deepanshu Singh and final-year PhD student Friederike Nintzel, have won the 2025 Cambridge Zero Climate Challenge for developing a method that turns multiple waste streams into highly valuable chemicals such as sustainable aviation fuels.

Researchers have successfully demonstrated the UK’s first long-distance ultra-secure transfer of data over a quantum communications network, including the UK’s first long-distance quantum-secured video call.

Tom Garnett is CEO and co-founder of Refute a tech startup focussed on fighting disinformation on behalf of organisations, detecting and responding to campaigns at the speed of the attackers. Refute uses data to model and score threat behaviours, in context and over time, enabling effective in-channel response.

A new AI weather prediction system, developed by researchers from the University of Cambridge, can deliver accurate forecasts tens of times faster and using thousands of times less computing power than current AI and physics-based forecasting systems.