(AI-SIPM) International Workshop on Artificial Intelligence for Signal, Image Processing and Multimedia 3 (web site)
Time: 2:15 - 4:00 PM PT, August 8, 2025, Friday
The workshop aims to bring together all researchers with expertise in artificial intelligence in signal and image processing approaches from diverse working groups on real-world systems for commercial, industrial, and military applications. This workshop aims to provide high-quality research articles that address broad challenges on both theoretical and application aspects of artificial intelligence in signal and image processing. Colleagues from diverse academic faculties, schools, and industrial sectors are very welcome to join and contribute to the research that stimulates the ongoing steps to reach the higher quest on the application of artificial intelligence approaches in signal and image processing challenges.
Organizers
Asst.Prof.Dr.Rachada Kongkachandra, Thammasat University, Thailand
Asst.Prof.Dr.Mahasak Ketcham, King Mongkut’s University of Technology North Bangkok, Thailand
Asst.Prof.Dr.Pongsarun Boonyopakorn King Mongkut’s University of Technology North Bangkok, Thailand
Asst.Prof.Dr.Thittaporn Ganokratanaa King Mongkut's University of Technology Thonburi, Thailand
Dr.Patiyuth Pramkeaw, King Mongkut’s University of Technology Thonburi, Thailand
Dr.Worawut Yimyam, Phetchaburi Rajabhat University, Thailand
Asst.Prof.Dr.Narumol Chumuang, Muban Chombueng Rajabhat University, Thailand
Asst.Prof.Dr.Pokpong Songmuang, Thammasat University, Thailand
Dr.Taweewat Luangwiriya, Thammasat University, Thailand
(Health-MM) International Workshop on Healthcare Through Multimedia Analysis (web site)
Time: 4:15 - 6:00 PM PT, August 8, 2025, Friday
Multimedia, recognized as a crucial and valuable source of insights and information, is progressively being regarded as big data. This multimedia big data encompasses a wide range of elements, including but not limited to text, images, graphics, audio, video, social media, and sensor data, all of which play a significant role in decision-making. The last decades have witnessed the special interest of researchers working in different domains due to the extraordinary potential concealed in multimedia big data. Numerous public and private organizations creates, store and analyze multimedia big data in pursuit of improving the services they provide. In healthcare, multimedia big data is observed from various avenues such as hospital records, patients medical records, medical examinations reports and sophisticated devices that are usually part of internet of things. In contrast, biomedical research community also generates substantial amount of multimedia big data relevant to public healthcare. This multimedia data needs to be properly managed and analyzed in order to extract and utilize meaningful information else it resembles with finding a straw from haystack. However, there are diverse defiance linked with each step of handling and analyzing multimedia big data and can only be exceeded by utilizing high-end computing solutions. Therefore, healthcare providers must be completely equipped with necessary infrastructure for generating and analyzing multimedia big data to provide relevant solutions to improve public health. A coherent management, analysis and visualization of multimedia big data can make a difference by opening contemporary avenues in modern healthcare.
Organizers
Gaurav Bhatnagar (IIT Jodhpur, India)
Subrahmanyam Murala (Trinity College Dublin, Ireland)
Jonathan Wu (University of Windsor, Canada)
Zheng Liu (UBC, Okanagan, Canada)