Professor Saeid Sanei Inaugural Lecture
A lantern for deeper investigation into the brain
In this lecture, Saeid Sanei will discuss his research in signal processing and machine learning and its application in the increased understanding of brain function.
- When: Wednesday 23 January 2019, 6.30 pm
- Registration: 5.45 pm
- Location: Teaching and Learning building, Clifton Campus, Clifton Lane, Nottingham, NG11 8NS
- Booking deadline: Wednesday 23 January 2019, 12.00 pm
The brain is mysterious, with much yet to be discovered. Data recording methods pave the path for new discoveries in understanding brain function and the advanced techniques in signal processing open new doors into these discoveries.
In this talk, we will take a journey into the brain and see the power of signal processing in understanding brain function.
Professor Sanei will explore the importance of the knowledge acquired through signal processing. Discover how it is used by researchers in machine learning, psychologists and neuroscientists to better understand the underlying brain function during mental and physical tasks, as well as when affected by sleep, fatigue, dementia, and other generative or degenerative diseases.
Professor Saeid Sanei, School of Science and Technology
Professor Sanei is the professor of signal processing and machine learning. He teaches on the Wireless Communication and Networking module and is the Department Research Coordinator for computing and technology.
Saeid received his PhD from the Department of Electrical & Electronic Engineering, Imperial College London. Since then he has been a member of academic staff in Iran, Singapore, and the United Kingdom (King’s College London, Cardiff University, and University of Surrey, where he served as the Deputy Head of Computer Science Department).
He has also been a visitor to RIKEN Brain Institute in Japan, a Distinguished Speaker in Nanyang Singapore, an External Examiner to Glasgow University, London Southbank University, and University of Mauritius.
Saeid's research covers a wide area of signal processing and machine learning with major applications to computer networking, communications, speech and biomedical engineering, automation, brain computer interfacing (BCI), and big data. His contributions to tensor factorisation and cooperative networking are also the two main pillars of big data analytics. He has three books, a number of book chapters and over 350 peer reviewed papers mostly with IEEE.
He has been a Member of IEEE Machine Learning for Signal Processing Committee since 2013. He has often been invited as a Keynote speaker for prestigious international conferences, and to present in workshops in conferences, academia and industry.
More information on Professor Sanei can be found on his staff profile.
|5.45 pm||Registration and welcome refreshments|
|6.30 pm||Inaugural lecture|
|8.30 pm||Event close|
Free parking is available. Access via Clifton Campus Main Gate entrance off the A453.
Further travel information can be found on our website.