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Imperial.Tech.Pitch | Innovation in engineering with AI and Machine learning

Complex real-world engineering challenges are now being solved by applying artificial intelligence and machine learning.

This event has now finished. Please email Dr Jing Pang for information.

What is this event about?

Imperial's Enterprise Division will demonstrate applications of the latest research and discoveries in artificial intelligence and machine learning to solve real-world engineering challenges. 

It will be a virtual event covering academic expert pitches, an interactive panel with Q&A, and networking opportunities.

What will I get from this event?

  • Learn about some of the AI/ML technologies invented at Imperial and how we apply these to solve engineering challenges (such as a new way of wireless video transmission, or control and process optimisation to enable decision making in complex environments with the application for example in technology, energy and biopharmaceutical sectors)
  • Meet leading scientists and engineers and see them present their research and technologies.
  • Engage in a panel discussion chaired by Professor Michael Huth, a leading computing scientist, entrepreneur and Head of Imperial’s Department of Computing. A unique opportunity to exchange ideas with the experts.

What's the event agenda?

  • 10.30 - 11.00 | Live online networking at virtual tables.
  • 11.00 - 11:20 | Academic pitches and presentations
  • 11.20 - 11:40 | Live industry presentation 
  • 11.40 - 12.00 | Live panel Q&A with academic and industry presentations. 
  • 12.00 - 12.30 | Live online networking at virtual tables and event finish.
Any questions? Contact us

Industry speakers 

Nick Blake - Hitachi (European Big Data Lab)

Nick has been driving innovation in IoT, Artificial Intelligence and Automation for sustainable, resilient and safe societies through collaboration with customers, corporate ventures and academic institutions for many years. Current R&D projects cover autonomous driving, advanced video intelligence, smart spaces and digital trust. 

Constantinos Pantelides - Siemens Process Systems Engineering 

Costas Pantelides is currently the CEO & CTO of Siemens Process Systems Engineering, a position he has held for the past 16 years.

Researchers and pitches

Professor Michael Huth

Chair 

Professor Michael Huth is currently based in the Computer Science Department of Computing, Imperial College London and a member of FinTech Network. His research focuses on Cybersecurity, Cryptography, Mathematical Modeling, and Formal Verification with applications in Machine Learning, FinTech, and the Internet of Things.

 


Dr Maria Papathanasiou

Pitch - Towards digitalisation of (bio-)pharmaceutical processes: a hybrid approach

The U.S. FDA has highlighted issues with drug shortages arising mostly from deficiencies in pharmaceutical manufacturing. For this, they urge the pharmaceutical industry to adopt novel process setups for seamless monitoring and high product quality. In that respect, hybrid modelling approaches constitute a suitable solution to assist integrated design, optimisation and control.


Professor Matthew Piggott

Pitch - Digital twins to support the development of offshore renewable energy systems

What are the challenges and solutions in assessing offshore renewable energy resources? Dr Piggot will discuss the development of yield prediction and optimal array design tools suitable for business decision-making. In particular, he will focus on approaches to address the huge range of scales that need to be modelled, from atmospheric weather systems down to individual turbine blades. 


Professor Deniz Gunduz 

Pitch - Deep Learning Aided Wireless Video Transmission

Wireless video transmission currently suffers a drop in performance when the channel quality falls below the intended communication rate. Professor Gunduz discusses how a new approach harnesses the power of deep learning to achieve a better end-to-end video transmission quality over a wide range of communication channels.


Daphne Tuncer headshot

Research profile

Oytun Babacan headshot

Dr Daphne Tuncer & Dr Oytun Babacan

Pitch - Data Analytics for Electric Vehicle Public Charging Network

The next decade will be marked by the rise of electric vehicle usage in the UK and Europe. To respond to the requirements of the electric vehicle era, Dr Babacan discusses the need to plan for the deployment of public charging infrastructures that will not only cover large areas cost-effectively but also support sustainable development targets. Dr Babcan will discuss the technology developed to solve this issue.

Resources from Imperial 

Imperial Business Partners | Find out more

Imperial Business Partners offers accelerated access to the best of Imperial’s people, technologies, expertise and facilities. Through bespoke pathfinder
activities, led by dedicated engagement managers, IBP enable's businesses to connect with and benefit from the world-leading expertise, facilities and resources at Imperial College London.

Industry Partnerships and Commercialisation | Find out more

Imperial's Industry Partnerships and Commercialisation (IPC) team have a deep understanding of science and technology and strong commercial acumen. They help academics and businesses work together to develop new insights and technologies and translate them into commercial opportunities.

Imperial.Tech | Find out more

Imperial.tech provides information on technologies developed by Imperial College London researchers. Imperial technologies have been successfully licensed to companies ranging in size from global businesses to SMEs.

Imperial-X | Find out more

A new collaborative environment for research, education, and entrepreneurship across artificial intelligence, data science and digital technologies.

Any questions? Contact us