Tech Foresight 2037 – Post- Event Materials

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Thank you once again for attending the Tech Foresight 2037 conference.  We hope you had a stimulating day and have gone back to your day jobs excited about the future of tech and how we will be getting there!  This is the TF:2037 after-event page, a treasure trove of conference materials, including speaker presentations, interviews and recommended articles.  

First things first, however… if you were lucky enough to join us on the day, we would be extremely grateful if you could fill out this feedback form so that we can improve next year’s conference and all the foresighting services we tailor to you in association with the Tech Foresight team.  Now that that is out of the way, let’s dive into the material:

| Download The Agenda here |

| Download The Presentation Showreel Here |


Four academics gave their view of where their specific research areas are going and at what pace, with a heavy emphasis on AI and Machine Learning applications.

Please note that the presentations are large files and might take some time to load

alessandra_russo     ALESSANDRA RUSSO – MACHINE LEARNING | Watch Presentation

Alessandra Russo is Professor in Applied Computational Logic in the Department of Computing and works in machine learning, looking specifically at algorithms that mean a machine can continue to learn, as well as have a natural-language dialogue with a human user about what has been learnt and why decisions have been made.  Crucially, this requires the machine to process information provided back to it from the human user about any errors that it’s made and turn these into data which it can use to continue learning.  The learning process is therefore one of continuous improvement, focusing on the areas in which the improvement is needed.

Download Presentation | Download recommended research papers:

  1. Privacy dynamics: Learning privacy norms for social software
  2. Collaborative explanation and response in assisted living environments enhanced with humanoid robots 


stefan_leutenegger     STEFAN LEUTENEGGER – ROBOTIC VISION | Watch Presentation

Dr Stefan Leutenegger is a lecturer in the Department of Computing, whose research focuses on autonomous robot navigation, in particular on the sensing capabilities and the algorithms required to navigate in a potentially unknown environment. Stefan works on indoor service robots, drones and has a special interest in autonomous vehicles. He explores why motion tracking and spatial perception is so crucial to the operation of autonomous vehicles, and to the development of “intelligent” robots that can adapt to human needs.

Download Presentation Download recommended research papers:

  1. Keyframe-based visual–inertial odometry using nonlinear optimization
  2. Unmanned Solar Airplanes: Design and Algorithms for Efficient and Robust Autonomous Operation (thesis dissertation)


thomas_heinis     THOMAS HEINIS – NEUROMORPHIC COMPUTING | Watch Presentation

Dr Thomas Heinis is a lecturer in the Department of Computing and works in the area of management of big data, particularly on the development of software and hardware to improve the diagnosis of brain disease. These technological solutions seek to mimic the connections in the brain, making use of unsupervised learning to create a signature of disease.  This involves using different sets of patient data as input into the learning algorithm, in order to identify clusters of patients that have similar disease and understand how they relate to each other.

Download Presentation | Download recommended research papers:

  1. Reconstruction and Simulation of Neocortical Microcircuitry
  2. Just-In-Time Data Virtualization: Lightweight Data Management with ViDa


simon_tindemans     SIMON TINDEMANS – SMART ENERGY GRIDS  | Watch Presentation

Dr Simon Tindemans is a research fellow in the Department of Electrical and Electronic Engineering and works in the area of smart grids and electricity control. The energy domain has the same potential for “flash crashes” – or wide-ranging failures – that have been seen in the financial domain. Simon’s work focuses on ways to avert or respond to these, as well as ways to use machine learning to continually adapt smart electricity provision. In particular, the work performed as part of the Low Carbon London initiative examines the mechanisms by which smart pricing and electricity provision can modify human behaviour to encourage sustainability.

Download PresentationDownload recommended research papers:

  1. Incorporating failures of System Protection Schemes into power system operation
  2. Decentralized Control of Thermostatic Loads for Flexible Demand Response




Dr Marco Aurisicchio is a Senior Lecturer in Engineering Design in the Dyson School at Imperial College London. Marco leads a team of 7 PhD students and 2 research associates within the Design Engineering Group. The team’s current research activity focuses on the design and analysis of engineering systems in sectors including healthcare, construction, aerospace, nuclear and fast moving consumer goods.

Download Presentation | Watch Presentation


Dr Ben Almquist’s work lies in the intersection of material sciences, biology and nanotechnology. He focuses on the development of methods to dynamically manipulate the behaviour of cells and tissues. In particular, this work enables us to understand how to direct the process of tissue repair by manipulating signalling networks. One application of this work is the design of wound dressings that can program the sequence of drug release into a patient wound, while another lies in the ways in which cell behaviours can be guided in order to promote blood vessel growth in damaged tissue.

Download Presentation | Watch Presentation


Charlotte Slingsby is the Founder of Moya Power, a lightweight, flexible sheeting material that can independently harvest low grade wind energy in a variety of locations.  The young South African, who currently lives in London,  was named one of Forbes’ 30 Under 30 Europe in the 2017 lists.  She has a Masters in Innovation Design Engineering awarded jointly by Imperial and the Royal College of Art and views design as a powerful tool for transformation. With this ideology, she founded Moya Power LTD and we will be keeping our eye on her.

Download Presentation  | Watch Presentation


Panel discussion 3


The last half of the event was a public session where two influential academics, Professor David Gann and Professor Armand Leroi, shared a podium with two authorities of the business world – Rajesh Agrawal, Deputy Mayor (Business) and Naveen Jain, CEO of Moon Express.  If you missed it you can catch up at the IBP Youtube channel below:

Rewatch The Talks here:

Naveen Jain | Watch Presentation

Professor Armand Leroi | Watch Presentation

Watch Panel Discussion

Sli.Do Q&As | Download Now

Throughout the day you submitted questions for our academics and entrepreneurs through the app.  They are currently with our academics who will take some time out of their very busy schedules to answer a select few.

About Tech Foresight

Imperial Tech Foresight offers challenging, provocative and personal visions of the future from our world-leading academic talent, looking ahead to what the next decades could offer as a consequence of breakthrough discoveries we see across our labs today.Our mission is to broaden and deepen relations between Imperial College London and its corporate partners in ways that stimulate discussion, collaboration and the imagination. We do this by creating original and inspiring events, videos and briefings. Our team offers in-house expertise for making long-range forecasts, trend research, media production and access to a network of external practitioners.