Biography: Minoru Okada received the B.E. degree in communications engineering from the University of Electro-Communications, Tokyo, Japan, in 1990. He received the M.E and Ph.D. degrees in communications engineering from Osaka University, Osaka, Japan, in 1992 and 1998, respectively. From 1993 to 2000, he was a Research Associate at Osaka University. From 1999 to 2000, he was a Visiting Research Fellow at University of Southampton, U.K. In 2000, he joined the Graduate School of Information Science, Nara Institute of Science and Technology, Nara, Japan, as an Associate Professor and became a Professor in 2006. His research interest is wireless communications, including WLAN, digital broadcasting, and satellite communications. Dr. Okada is a member of the Institute of Image, Information, and Television Engineers of Japan (ITEJ), the Institute of Television Engineers of Japan, the Institute of Electrical, Information, and Communication Engineers of Japan (IEICE), and the Information Processing Society of Japan (IPSJ). He received the Young Engineer Award from IEICE in 1999.
Biography: Charturong Tantibundhit received the B.E. degree in electrical engineering from Kasetsart University, Bangkok, Thailand, in 1996. He received the M.S degree in information science and Ph.D. degree in electrical and computer engineering from the University of Pittsburgh, Pittsburgh, Pennsylvania USA, in 2001 and 2006, respectively. He has received many honors and awards from his research fields: deep learning, image processing, and speech processing. In 2006, he joined the Department of Electrical and Computer Engineering, Thammasat University, Pathumthani, Thailand, as an instructor and become an assistant professor and an associate professor in 2009 and 2013 respectively. Moreover, he is currently the head of Speech and Language Technology Cluster, Center of Excellence in Intelligent Informatics, Speech and Language Technology, and Service Innovation (CILS), Faculty of Engineering, Thammasat University, Pathumthani, Thailand.
Abstract: AIChest4All is the name of the model used to label and screening diseases in our area of focus, Thailand, including heart disease, lung cancer, and tuberculosis. This is aimed to aid radiologist in Thailand especially in rural areas, where there is immense staff shortages. Deep learning is used in our methodology to classify the chest X-ray images from datasets namely, NIH set, which is separated into 14 observations, and the Montgomery and Shenzhen set, which contains chest X-ray images of patients with tuberculosis, further supplemented by the dataset from Udonthani Cancer hospital and the National Chest Institute of Thailand. The images are classified into six categories: no finding, suspected active tuberculosis, suspected lung malignancy, abnormal heart and great vessels, Intrathoracic abnormal findings, and Extrathroacic abnormal findings. A total of 201,527 images were used. Results from testing showed that the accuracy values of the categories heart disease, lung cancer, and tuberculosis were 94.11%, 93.28%, and 92.32%, respectively with sensitivity values of 90.07%, 81.02%, and 82.33%, respectively and the specificity values were 94.65%, 94.04%, and 93.54%, respectively. In conclusion, the results acquired have sufficient accuracy, sensitivity, and specificity values to be used. Currently, AIChest4All is being used to help several of Thailand’s government funded hospitals, free of charge.
Biography: Dr. Ilsun YOU received the MS and PhD degrees in computer science from Dankook University, Seoul, Korea, in 1997 and 2002, respectively. He received the second PhD degree from Kyushu University, Japan, in 2012. From 1997 to 2004, he was at the THINmultimedia Inc., Internet Security Co., Ltd. and Hanjo Engineering Co., Ltd. as a research engineer. Now, he is a full professor at Department of Information Security Engineering, Soonchunhyang University. He has served or is currently serving as a General Chair or a Program Chair of international conferences and workshops such as WISA’19-20, MobiSec’16-19, AsiaARES’13-15, MIST’09-17, MobiWorld’08-17, and so forth. Dr. YOU is the EiC of Journal of Wireless Mobile Networks, Ubiquitous Computing, and Dependable Applications (JoWUA) and Journal of Internet Services and Information Security (JISIS). He is in the Editorial Board for Information Sciences (INS), Journal of Network and Computer Applications (JNCA), IEEE Access, International Journal of Ad Hoc and Ubiquitous Computing (IJAHUC), Computing and Informatics (CAI), and Journal of High Speed Networks (JHSN). Especially, he has focused on 4/5G security, security for wireless networks & mobile internet, IoT security and so forth while publishing more than 180 papers in these areas. He is a Fellow of the IET and a Senior member of the IEEE.
Abstract: 5G Security: The Beginning of Security for Next-Generation Telco- Applications
With the advent of the full-fledged 5G era, there is a growing expectation that 5G technology, which is characterized by ultra-fast, ultra-connected and ultra-low latency, will revolutionize our lives. Especially, 5G networks adopt edge cloud for application services within their area and provide network slicing based on network virtualization technologies to effectively support customized networks specialized for each application service. It is thus predicted that 5G will introduce innovative application services such as realistic contents, smart factories, autonomous vehicles, smart cities, and digital healthcare as well as lead the 4th industrial revolution.
In spite of such significant progress, 5G networks are followed by new and diverse security threats and attacks beyond our imagination, which cannot be addressed by traditional security technologies. Therefore, security is a necessary and sufficient condition for successful settlement of 5G networks. As the first step for 5G security, the 3GPP (3rd Generation Partnership Project) SA3, a working group responsible for security of telecommunication networks, has standardized 3GPP 5G security framework through its TS 33.501 document entitled "Security Architecture and Procedures for 5G Systems". In this talk, 3GPP 5G security framework will be first outlined with its authentication, key management, and handover procedure, followed by the related works and research trends. Afterwards, focus will be on network slice security issues and secondary authentication, which is the key to opening the door for new security paradigm where each application is integrated with its best suit telecommunication and security service.
Biography: Samur Thanoi received the B.E. degree in occupational therapy from Chiang Mai University, Chiang Mai, Thailand, in 1993. He received Ph.D. degree in anatomy and cell biology from the University of Sheffield, Sheffield, United Kingdom, in 2000. He has received many honours and awards from his research fields: anatomy & cell biology, reproduction biology, and assisted reproduction technology. In 1994, he joined the Department of Anatomy, Faculty of Medicine, Naresuan University, Phitsanulok, Thailand, as an instructor and become an assistant professor and an associate professor in 2004 and 2008 respectively. Moreover, from 2018 to the present, he has joined the School of Medical Science, and has served as the Vice President for Research and Innovation, University of Phayao, Thailand. Finally, in 2020, he also becomes a professor of anatomy and cell biology for the research aspects of his academic career.
Abstract: Information and Communication Technology (ICT) has become very important in today life as it has been revealed that “the best brains of Europe come up with to improve health, wellbeing and ageing with the help of Information and Communication Technology (ICT)”. There have been several research and innovation projects created in Europe in the following types: Projects that managing your health and care, Projects that innovate the health and care system and the way it works. ICT solutions supporting active and healthy ageing projects and Projects funded by the SME Instrument, accelerating market introduction of ICT solutions for Health, Well-being and Ageing Well. These all projects will help patients who suffering from the diseases can manage their life properly or try to live their lives independently, as well as to allow their doctors or their caregivers to get access to their personal data and apply the most suitable treatments or programs for each individual. Moreover, big data created or collected from the digital platform can also be benefit for other people or organizations in order to develop appropriate program for treatment of preventive programs. In Thailand these days, mobile applications have been created for monitoring and preventing the spreading of Covid-19. Thai Chana and MorChana have been launched for monitoring the spreading while Rao Chana is used for economic subsidies for the needy during the Covid-19 pandemic..