December 10-12, 2024 | Bangkok, Thailand
Speakers
Keynotes
Bharat Bhargava Professor, Department of Computer Science, Purdue University, Indiana, USA Title: Situation Knowledge on Demand (SKOD) Abstract: The objective of this research is to fuse streaming data from multiple sources and identify rare events to alert the user and meet the mission requirements. The user can ask for specific information or the machine learning system will learn the needs/interest of user and forward new incoming data with a relevance score. Research questions such as trustworthiness of data, variation of data values from same source (such as sensor, video camera, user tweet, police incident report) are addressed due to uncertainty of data accuracy and noise. Application of the machine learning are to assist in security at military bases and the “missing person” problem. When a person is suspected missing police want to find him/her. The same problem arises in amber alerts, prison escapes, and missing children. When an incident report or 911 call arrives in police station, a physical description of the missing person (e.g., white male with medium built wearing a blue shirt, and black jeans) is available. Families may give additional details of missing child. Information such as specific medical conditions such as autism spectrum disorder or clinical depression may be available. This research is also improving the interaction of police with persons with mental issues. |
Invited talks
Massimiliano Cannata University of Applied Sciences and Arts of Southern Switzerland (SUPSI), Canobbio, Switzerland |
Flora Ferreira University of Minho, Portugal Title: Intelligent Systems for Learning Sequences with Time Constraints Abstract: Many of our sequential activities, such as playing the piano or driving a car, require precisely timed and ordered actions. In this talk, I will present intelligent models for learning sequences of events with temporal properties. Our approach employs artificial intelligence techniques, including Neural Networks, to learn and adapt to sequences in real-time. Different real-world scenarios, such as learning a driving routine, learning a sequence of musical notes, and learning a sequence of tasks in human-robot interactions in dynamic environments, will be presented. These models have the potential to enhance driver assistance systems and improve human-machine interactions, facilitating cooperation in a more natural way by effectively learning and predicting complex sequences with temporal constraints. |
Katarzyna Turoń Silesian University of Technology, Poland |
Chinthaka Premachandra Shibaura Institute of Technology, Tokyo, Japan |
Past conference speakers
Dr. Theofanis P. Raptis
Institute of Informatics and Telematics,
National Research Council (CNR)
Pisa, Italy
Dr. Sardar Islam
Victoria University
Melbourne, Australia
Dr. Massimiliano Cannata
University of Applied Sciences and Arts of Southern Switzerland (SUPSI)
Canobbio, Switzerland
Dr. Xun Shao
Toyohashi University of Technology
Aich, Japan
Dr. Ashis Jalote Parmar
Norwegian University of Science and Technology
Torgarden, Norway
Dr. CHANG Yoong Choon
Universiti Tunku Abdul Rahman
Kajang, Malaysia
Dr. Biplab Banerjee
Indian Institute of Technology Bombay,
Mumbai, India
Dr. Sonal Jain
Sardar Patel University
Vallabh Vidyanagar, India
Dr. Sharnil Pandya
Linnaeus University,
Sweden
Dr. Dilip Kumar Pratihar
Indian Institute of Technology Kharagpur,
Kharagpur, India
Dr. Witold Pedrycz
University of Alberta
Alberta, Canada
Dr. Dimitrios A. Karras
National and Kapodistrian University of Athens,
Greece
Dr. Maryam Kaveshgar
Ahmedabad University
Ahmedabad, India
Dr. V. Susheela Devi
Indian Institute of Science
Bangalore, India
Dr. Janusz Kacprzyk
Systems Research Institute Polish Academy of Sciences,
Warsaw, Poland
Dr. Ashish Ghosh
Indian Statistical Institute
Kolkata, India.
Dr. Valentina Emilia Balas
Aurel Vlaicu University of Arad,
Arad, Romania
Dr. Deepak Garg
Bennett University, Greater Noida,
India
Dr. Sanjay Misra
Covenant University, Ota,
Nigeria
Dr. Vishnu Pendyala
San José State University
San José, CA, USA
Important Dates
| Submission due: | 15/07/2024 |
| Acceptance Notification: | 31/07/2024 |
| Camera Ready Paper Submission due: | According to notification |
| Last date of registration: | According to notification |
| Conference dates: | 10-12/12/2024 |
Awards
Two best paper awards- Best Research Paper Award, and
- Best Student Research Paper Award
will be announced and bestowed at the conference valedictory session.
Call For Reviewers
Registration linkReviewers will get recognition on conference website and a certificate of appreciation.