Brunel University London
Brunel University London
Inaugural Lecture 2014: Professor Asoke Nandi - Signal Processing – From Particles to Genes and Brains - Thursday 2nd October 2014 - 5.30 pm to 6.45 pm - Location: Eastern Gateway Building Auditorium - Free to attend at Brunel University London

Signal Processing – From Particles to Genes and Brains

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Inaugural Lecture 2014: Professor Asoke Nandi - Signal Processing – From Particles to Genes and Brains - Thursday 2nd October 2014 - 5.30 pm to 6.45 pm - Location: Eastern Gateway Building Auditorium - Free to attend
Suitable for
Bookings by Teachers for Key Stage 5 (Students aged 16-18)
Individuals (Enquiry not required to be through a school)
Teachers (CPD)
Parents

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About the Lecture

In this lecture Professor Nandi will explain the scope of Signal Processing, which draws together aspects of mathematics, modelling (physics), statistics, electronics, and increasingly machine learning. He will outline some of his personal research endeavours in particle physics, communications, audio, breast cancer, genes, and human brain to demonstrate the diverse applications of signal processing. He will also outline the importance of the subject as well as challenges ahead, along with its bright future.

About Professor Asoke Nandi

In April 2013, Professor Nandi moved to Brunel University to be the Head of Electronic and Computer Engineering from the University of Liverpool where he held the David Jardine Chair of Signal Processing in the Department of Electrical Engineering and Electronics. He was the Head of the Signal Processing and Communications Research Group which he established in 1999. Professor Nandi received his PhD from the University of Cambridge. Subsequently, he held positions in Rutherford Appleton Laboratory, CERN, Queen Mary College, the University of Oxford, Imperial College, University of Strathclyde, and the University of Liverpool.

Professor Nandi has published over 190 papers in refereed international journals (total: 480 technical papers) with an h-index of 54 (all citation figures in this resume are from Google Scholar). He has made pioneering theoretical and applied contributions to statistical signal processing, wireless communications, machine learning, and biomedical signal processing, with growing applications in genomic signal processing and brain signal processing, and Big Data.


Suitable for
Bookings by Teachers for Key Stage 5 (Students aged 16-18)
Individuals (Enquiry not required to be through a school)
Teachers (CPD)
Parents
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