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Seminar

Healthcare Technologies 2024: Student and Early Career Awards Evening

Hear the winners of the IET Healthcare Technologies Student and Early Career Awards 2024

About

Please note that this is an in person event at IET London:  Savoy Place.

Join us to hear the winners of the IET Healthcare Technologies Student and Early Career Awards 2024 share their winning presentations. After hearing the winners present their ground-breaking work, we'll be joined by a keynote speaker, Professor Mandic speaking on 'Hearables: Real World Applications of AI for eHealth'.

As usual, you'll have the opportunity to ask questions to all presenters.

Awards winners will be advertised for the following awards once the judging process is complete:

Dennis Hill Award (Suitable for students)

William James Award (Suitable for students)

J.A. Lodge Award (Suitable for *early career engineers)

Healthcare Technologies

2

Continuing Professional Development

This event can contribute towards your Continuing Professional Development (CPD) hours as part of the IET's CPD monitoring scheme.

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28 Nov 2024 

6:00pm - 8:30pm

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Organiser

  • Healthcare Technologies TN

Speakers

Professor Danilo Mandic

Professor of Machine Intelligence - Department of Electrical and Electronic Engineering - Faculty of Engineering ,Imperial College London

Dr. Mandic received the Ph.D. degree in nonlinear adaptive signal processing in 1999 from Imperial College, London, London, U.K. where he is now a Professor. He specialises in Statistical Learning Theory, Machine Intelligence, and Statistical Signal Processing, and their applications especially in Biomedicine and Finance. He is a pioneer of Hearables (in-ear sensing of neural function and vital signs), an unobtrusive, discreet and long-term wearable solution for long-term physiological monitoring based on miniaturised sensors embedded on an earplug, an area where he holds several patents. He also specialises in Machine Intelligence for Finance, and is a Director of the Financial Signal Processing and Machine Learning Lab a Imperial. He has written over 600 journal and conference articles, and research monographs on Recurrent Neural Networks (with Wiley, 2001), Complex-valued Adaptive Filters and Neural Networks (Wiley 2009), Tensor Networks for Dimensionality Reduction and Large Scale Optimisation (Now Publishers, 2017) and Data Analytics on Graphs (Now Publishers, 2021). Prof Mandic is a Fellow of the IEEE, the 2019 recipient of the Dennis Gabor Award for "Outstanding Achievements in Neural Engineering", given by the International Neural Networks Society (INNS). He is also a 2018 winner of the Best Paper Award in IEEE Signal Processing Magazine, for his article on Tensor Decompositions for Signal Processing Application, and the 2021 winner of the Outstanding Paper Award in the IEEE ICASSP conference. He is also a winner of The Prize in the 2023 IEEE Engineering in Medicine and Biology Prize Paper Awards, and has coauthored 6 more award winning articles. He is a Core Member of the Machine Learning Initiative at Imperial. Danilo is the President of the International Neural Networks Society, and a past Technical Chair of ICASSP 2019, held in Brighton UK. He also received President's Award for Excellence in Research Supevervision at Imperial College in 2014. Danilo is passionate about cross-disciplinary aspects of his work and about bringing research into the curriculum. His current research interests areas are Adaptive Learning Theory, Big Data, Machine Learning on Graphs, Neural Networks, and Complexity Science, and their applications in Biomedicine and Financial Engineering.
 

Reasons to attend

Award winning presentations

Keynote industry expert

CPD

Networking opportunities

Location

IET London: Savoy Place

2 Savoy Place
London

WC2R 0BL
United Kingdom


We're committed to having an environmentally responsible event portfolio and work hard to plan and implement events which reflect sustainable event best practices, from working with venues and suppliers that demonstrate best environmental practices to reducing the carbon footprint of each event and therefore our impact on the environment.

Programme

Evening Programme:

Arrival 6pm for a 6.30 start with light refreshments

Keynote speaker

Award winner 1

Award winner 2

Award winner 3

Networking till 8.30

(Programme can change)

Register

Register to attend

Free