Keynote Speech

Keynote speakers


Title: Live our best life in anticipation of end

Speaker: Prof. Emi Yuda (Center for Data-driven Science and Artificial Intelligence, Tohoku University, Japan)

Abstract:

The increasing longevity of individuals and the aging of society demand the creation of new values and the construction of social systems. Recently, QOD (Quality of Death) has been added to how humans go through the process of dying in addition to QOL (Quality of Life), and research on the EOL (End of Life) is covering a variety of fields. Quantitative evaluations based on big data analysis are expected to suggest new insights, influence human decision-making, and bring about better choices and conclusion for humans. This presentation will introduce the latest research on the effective use of bio-medical big data from the perspective of informatics and data science.

Biography:

Emi Yuda received her M.S. from Tsukuba Univ., and Ph.D. from Nihon Univ. and Dr. Eng. from Niigata Univ. From 2013 to 2014, she was research assistant in Santa Monica College. From 2015 to 2019, NEDO Project Researcher, Nagoya City University Graduate School of Medicine. From 2019 to 2020, assistant professor in Graduate School of Engineering, Tohoku University. Currently, assistant professor in Center for Data-driven Science and Artificial Intelligence Tohoku University. She has many work in the field of bio-signal processing and biological big data analysis.

More information about her research is available at https://www.researchgate.net/profile/Emi-Yuda


Title: Sound event detection and classification: methods and applications

Speaker: Prof. Annamaria Mesaros (Tampere University, Finland)

Abstract:

Automatic sound event detection and classification methods aim to recognize the sounds active within an audio signal, and to indicate their temporal location within the audio. The ability to automatically identify target sounds like ambulance or police sirens, car horns and car brakes, or human presence and activity provides feasible solutions for development of smart cities and allows understanding the soundscape of a city.

This talk will give a general overview of sound event detection, introducing the task and its main challenges, its setup and solutions based on machine learning. The talk will also present a few examples of acoustic monitoring of everyday environments.

Biography:

Annamaria Mesaros is Assistant Professor at Tampere University, where she leads the Machine Listening Group. Her research work on sound event detection spans ten years and includes some of the first studies on sound event detection using a large number of classes. She is the coordinator of the international evaluation campaign on Detection and Classification of Acoustic Scenes and Events (DCASE), being one of the co-founders of the DCASE Workshop. She has co-authored over 35 scientific publications that have been cited over 3500 times and is author of many open datasets. She is currently an Academy of Finland Research Fellow for “Teaching Machines to Listen”.

Webpage: https://homepages.tuni.fi/annamaria.mesaros/


Title: Biometric trend and research during or after the pandemic

Speaker: Prof. Vutipong Areekul (Department of Electrical Engineering, Kasetsart University, Thailand)

Abstract:

COVID-19 Pandemic has changed our everyday life. Biometric technology needs to cope with the changes in human behavior during or after the pandemic. This talk provides the general biometric background and current popular biometric traits with pros and cons. Several government agencies and private companies have extensively used biometrics for a long time. However, the present biometric technology is still far from satisfactory. Many problems arise, and the biometric research paradigm has changed with upcoming requirements and new emerging technology. This talk focuses on three main topics as follows. First, an overview of biometric usages and some popular biometric traits are discussed. Second, The current biometric research problems and solutions are focused. Finally, this talk ends with some existing and challenging biometric issues for future research.

Biography:

Vutipong Areekul received the B.Eng. degree in electrical engineering from King Mongkut’s Institute of Technology, Bangkok, Thailand, in 1990, the M.Eng. degree in electrical engineering from Kasetsart University, Bangkok, in 1993, and the Ph.D. degree in electrical and computer engineering from Washington State University, Pullman, in 1998., He is currently a Professor with the Department of Electrical Engineering, Kasetsart University. He was general co-chairs of the International Conference on Biometrics (ICB) in 2015 at Phuket, Thailand, and in 2018 at Gold Coast, Australia. He was the principal investigator of several projects working on Thailand e-Government biometric interoperability and standardization, supported by the Ministry of Information and Communication Technology, Ministry of Justice, and National Security Council, Thailand. Currently, he is a principal investigator for a biometric verification standardization in Thailand, supported by the Electronic Transaction Development Agency (ETDA), Ministry of Digital Economy and Society. He was a recipient of the Siew-Sngiem Karnchanachari Research Leadership Award 2012. His research interests include fingerprint recognition, biometrics, and agricultural image processing.