Past events

Past events, seminars, conferences and more from the School of Engineering.

Event date
Feb 28 2024 -

Biofabrication and 3D Bioprinting: Sustainable technologies for healthcare, electronics and engineering biology

This presentation will illustrate my group’s research work on three themes: organoid and tumoroid bioassembly; 2D printing of soft and biological materials; fibre biofabrication for wearable sensors and bioelectronics.

Chemical Engineering Electronics and Electrical Engineering Mechanical Engineering General Engineering Bioengineering Materials and Processes Further information
Mar 06 2024 -

Overview of Masters degrees in Engineering

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Chemical Engineering Civil and Environmental Engineering Electronics and Electrical Engineering Mechanical Engineering Energy Systems Further information
Mar 07 2024 -

Milne Lecture: Inaugural Lecture of Professor Themis Prodromakis, Regius Chair of Engineering

Milne Lecture: Inaugural Lecture of Professor Themis Prodromakis

Electronics and Electrical Engineering Integrated Micro and Nano Systems Further information
Mar 20 2024 -

Inaugural Lecture of Professor Tom Bruce, Chair of Coastal and Maritime Hydromechanics

In this lecture, Tom will tell the story of waves breaking violently onto steep and vertical walls, old and new, the resulting forces, the wave overtopping, and what some of this means for safe design. In doing this, he will also have the honour to thank so very many inspirational colleagues – many now dear friends – who have played huge parts in this always-collaborative research.

Mechanical Engineering Energy Systems Further information
Apr 17 2024 -

Inaugural Lecture of Professor David Ingram, Professor of CFD and Director of Diversity & Inclusion

In this lecture, Professor David Ingram will explore how CFD analysts work in partnership with large scale experimental test facilities and field measurements in offshore renewable energy, and ask the question “How green is your simulation?”

Mechanical Engineering Energy Systems Further information
Apr 25 2024 -

Building fair and robust networks in the age of b^2 scale models

In a time where models with parameter counts in the billions that are trained on billions of samples (b^2) are becoming commonplace, many questions arise on how we should use these powerful models in downstream applications. In this talk, I will highlight three topics that are becoming increasingly important in this new age.

Electronics and Electrical Engineering Imaging, Data and Communications Further information
May 08 2024 -

Inaugural Lecture of Professor Sotirios Tsaftaris, Chair in Machine Learning and Computer Vision

In this lecture, I will give a historical overview of representation learning, from principal component analysis to the state-of-the-art of representation learning empowering all modern artificial intelligence (AI) applications. Along this timeline, I will share some of my work on data representations for various societal applications, from restoring paintings of Matisse to enhancing medical imaging diagnosis.

Electronics and Electrical Engineering Imaging, Data and Communications Further information
May 09 2024 -

Iram Shahzadi: Dual-Polarized Antenna for Full Duplex and Radar Applications

The talk will explore how integrating dual-polarized antennas with FMCW radar technology can significantly enhance target detection capabilities, particularly in challenging environments by using different polarizations.

Electronics and Electrical Engineering Imaging, Data and Communications Further information
May 16 2024 -

Fraser K. Coutts: Information-Theoretic Compression Design for Radio Frequency Sensing in Defence Applications

As an example, this talk will describe the use of this framework in a network of distributed, low SWAP-C radio frequency sensors deployed in a contested electromagnetic environment.

Electronics and Electrical Engineering Imaging, Data and Communications Further information
May 23 2024 -

Hollan O. Haule: A collaborative learning approach to clinical event prediction using low-resolution physiological signals

In this talk, we will present a novel ML approach that predicts medical events through learned latent representations of multivariate physiological time series using Long Short-Term Memory networks (LSTM) and a measurement of similarity in the patients' events.

Electronics and Electrical Engineering Imaging, Data and Communications Further information

Upcoming events

Events

Upcoming events, seminars, conferences and more at the School of Engineering.

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