SPS BISP TC Webinar: 2 November 2022, presented by Dr. Justin Dauwels

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News and Resources for Members of the IEEE Signal Processing Society

November 2022

SPS BISP TC Webinar: 2 November 2022, presented by Dr. Justin Dauwels

Webinar.jpg

Education & Resources

Upcoming SPS-BISP Webinar

Title: Artificial Intelligence for Applications in Neurology
Date: 2 November 2022
Time: 3:00 PM Central European Time (CET) | Local time
Duration: Approximately 1 Hour
Presenters: Dr. Justin Dauwels, (TU Delft)

 

Register for the Webinar

 

Abstract:

Many tasks in medicine still involve substantial manual work. In many cases there is strong potential for intelligent automation by Artificial Intelligence (AI), leading possibly to a reduction in costs and man-hours, while increasing the quality of clinical service. In this talk, we will consider applications of AI in the domain of neurology.
 
We are developing a low cost validated system to automatically interpret EEG via remote access. Diagnosis and management of neurological disorders rely on visual review of EEG data by specialized physicians. As the duration of EEG recordings ranges from 30 minutes to several weeks, the visual review is time consuming, and accounts for approximately 80% of total cost associated with EEG reading. Our system has the potential to reduce expenses associated with EEG testing and allows physicians to devote more quality time to their patients. One of the applications that we have explored so far is diagnosis of epilepsy of EEG. In this talk, we will show numerical results on large EEG datasets of epilepsy patients and healthy control subjects for multiple centers.

Biography:

Selin Aviyente

Dr. Justin Dauwels is an Associate Professor at the TU Delft (Circuits and Systems, Department of Microelectronics). He was an Associate Professor of the School of Electrical and Electronic Engineering at the Nanyang Technological University (NTU) in Singapore till the end of 2020. He was the Deputy Director of the ST Engineering – NTU corporate lab, which comprises 100+ Ph.D. students, research staff and engineers, developing novel autonomous systems for airport operations and transportation.
 
His research interests are in data analytics with applications to intelligent transportation systems, autonomous systems, and analysis of human behavior and physiology. He obtained the Ph.D. degree in electrical engineering at the Swiss Polytechnical Institute of Technology (ETH) in Zurich in December 2005. Moreover, he was a postdoctoral fellow at the RIKEN Brain Science Institute (2006-2007) and a research scientist at the Massachusetts Institute of Technology (2008-2010). He has been a JSPS postdoctoral fellow (2007), a BAEF fellow (2008), a Henri-Benedictus Fellow of the King Baudouin Foundation (2008), and a JSPS invited fellow (2010, 2011). His work on intelligent transportation systems has been featured by the BBC, Straits Times, Lianhe Zaobao, Channel 5, and numerous technology websites. Besides his academic efforts, his team also collaborates intensely with local start-ups, SMEs, and agencies, in addition to MNCs, in the field of data-driven transportation, logistics, and medical data analytics. His academic lab has spawned several startups across a range of industries, ranging from AI for healthcare to national security.
 
Dr. Dauwels served as Chairman of the IEEE CIS Chapter in Singapore from 2018 to 2020 and serves as Associate Editor of the IEEE Transactions on Signal Processing (since 2018), Associate Editor of the Elsevier journal Signal Processing (since 2021), Associate Editor of Frontiers in Computational Neuroscience, Associate Editor of Journal of Neuroscience Methods, and organizer of IEEE conferences and special sessions. He is also Elected Member of the IEEE Signal Processing Theory and Methods Technical Committee and IEEE Biomedical Signal Processing Technical Committee, both since 2018.

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