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Sirindhorn International Institute of Technology,
Thammasat University (SIIT, TU)
Thammasat University (TU)
Artificial Intelligence Association of Thailand (AIAT)
National Electronics and Computer Technology Center (NECTEC), Thailand
Japan Advanced Institute of Science and Technology (JAIST)
Vietnam National University, Hanoi (VNU)
Le Quy Don Technical University, Hanoi (LQDTU)
Faculty Institute School University of Information and Communication Technology (FISU)

Keynote and Invited Speakers

Prof. Dr. Takashi Hashimoto

Professor, Director of Knowledge Management Area
School of Knowledge Science, Knowledge Management
Japan Advanced Institute of Science and Technology
1-chōme-1 Asahidai, Nomi, Ishikawa 923-1211, Japan

Dr. Takashi Hashimoto is a Professor at School of Knowledge Science, Japan Advanced Institute of Science and Technology (JAIST), and now a director of the Area of Knowledge Management in JAIST. He was given his Ph.D. degree in 1996 from the Graduate School of Arts and Sciences, the University of Tokyo.

He has been studying the origin and evolution of language, the dynamics of communication, and the design of social institution from the viewpoint of complex systems, with pursuing to construct a scientific field called "knowledge science" for creation, sharing, and utilization of knowledge. He is a fellow of Virtual Center for Advanced Studies in Institution (VCASI) and a board member of Human Behavior and Evolution Society – Japan, and Japan Society for Evolutionary Economic. He is an associate editor of Evolutionary and Institutional Economics Review and Cognitive Systems Research.

Title: From Evolinguistics to Pluralistic Intelligences: Toward Evolutionary Study on Meaning Generation

Keywords: Language Evolution, Pluralistic Intelligences, Meaning Generation, Mediating Systems


Language plays an essential role in creating, sharing, and utilizing knowledge. Research on language evolution has focused on the distinctive properties of human linguistic communication, especially hierarchy and intention sharing in the Evolinguistics project, and has provided a profound insight into language and humans from an evolutionary perspective. However, the ability to make meaning in interaction with the world and with others, as an important property of language, has not been well understood in the study of language evolution to date. Humans constantly make sense of the world, and their ways of making sense vary according to individual characteristics. Intelligent beings that make sense of the world are not limited to humans. All living beings, social entities, and artifacts that perform advanced information processing also grasp the world in their own way and give meaning to our lives. These intelligent beings do not merely exist in parallel, nor are they reduced to a single entity, but they are each the source of our meaningful world. In considering the evolution of meaning generation, we pay attention to this conception of pluralistic intelligences. In understanding linguistic meaning generation, we will focus on the functioning of various mediating systems, in which input/output (sensory-motor) and memory (representations) are not directly connected but are mediated by some information processing. By examining the properties of the mediating systems and how they are used, we will be able to capture the continuity and diversity of pluralistic intelligences. In particular, it is thought that in humans, the expansion of mediation has enabled symbol de-grounding from grounded on here and now to displacement, rich imagination and creation, and the generation of social reality. In this talk, I will present a perspective of the evolutionary study of meaning generation and possible hints for future knowledge engineering based on the concepts of pluralistic intelligences and mediating systems.

Prof. Dr. Abdul Sattar

Institute for Integrated and Intelligent Systems
School of Information and Computing Technologies
Griffith University
URL: -

Prof Sattar is founding Director of the Institute for Integrated and Intelligent Systems (IIIS), a research centre of excellence at Griffith University established in 2003. He was involved as a Research Leader at NICTA Queensland Laboratory 2005 -2015. He has been an academic staff member at Griffith University since February 1992 as a lecturer (1992-95), senior lecturer (1996-99), and professor (2000-present) within the School of Information and Communication Technology. Prior to his career at Griffith University, he was a lecturer in Physics in Rajasthan, India (1980-82), research scholar at Jawaharlal Nehru University, India (1982-85), the University of Waterloo, Canada (1985-87), and the University of Alberta, Canada (1987-1991).

He holds a BSc (Physics, Chemistry and Mathematics) and an MSc (Physics) from the University of Rajasthan, India, an MPhil in Computer and Systems Sciences from the Jawaharlal Nehru University, India, and an MMath in Computer Science from the University of Waterloo, Canada, and a PhD in Computer Science (with specialization in Artificial Intelligence) from the University of Alberta, Canada. His current research interests include knowledge representation and reasoning, constraint satisfaction, rational agents, propositional satisfiability, temporal reasoning, temporal databases, bioinformatics and IoT for environment. He has supervised over 40 successful completions of PhD graduates, and published over 300 technical papers in refereed conferences and journals in the field. His research team has won three major international awards in recent years (the gold medals for the SAT 2005 and SAT 2007 competitions in the random satisfiable category and an IJCAI 2007 distinguished paper award).

Title: Artificial Intelligence 4 Life

Keywords: AI, Bioinformatics, eHealth, Environmental applications


Artificial Intelligence (AI) challenges have been inspiring many bright and passionate computer scientists and engineers around the world since the founding event Dartmouth summer workshop on AI project in 1956. This talk will give an overview of major achievements of the field. We will then focus on how AI can help us to address the challenges humanity is confronting today, especially in the areas of health and environment. We will conclude the talk with a summary of our recent achievements, AI applications in life science, environment and health management, and some of the open issues in the field.

Asst. Prof. Dr. Teerayut Horanont

Assistant Professor at SIIT
School of Information, Computer, and Communication Technology (ICT), Thammasat University
131 Moo 5, Tiwanont Road, Bangkadi Muang Pathum Thani 12000, Thailand.


Teerayut Horanont is an assistant professor at School of Information, Computer, and Communication Technology (ICT), Thammasat University. He was a project researcher at Earth Observation Data and Information Fusion Research Initiative at the University of Tokyo. His research interests include human mobility analysis and large-scale data mining. Horanont got B.Arch. in Architecture, Chulalongkorn University, Thailand, and M.Sc. in Remote Sensing and Geographic Information System, Asian Institute of Technology (AIT), Thailand.

He received a PhD in civil engineering from the University of Tokyo. Ph.D. in Spatial Information Engineering, The University of Tokyo, Japan. His interest includes Geographic Information System (GIS), Urban Computing, Indoor Navigation, Geospatial Big Data Platform Development and Analysis, Smart City and Precision Agriculture, Open Source Software and Open Standards Development.

Title: AI in Urban and Rural: Challenges, Benefits, and Use Cases

Keywords: Artificial Intelligence (AI), Urban application, AI for Agriculture, AI for social good


There is a major push towards integrating Artificial Intelligence (AI) technologies into urban and farm environments, and hence It is part of spaces, places and lives, which has sought to incorporate digital technologies, Internet of Things (IoT) and Big Data. This is crucial to the functioning of AI systems. However, the autonomy, adaptability and applicability of AI systems increase the potential of these non-human technologies in society to an unforeseen extent.

This emerging phenomenon, then, raises many questions regarding AI as part of urban and rural environments, including how these systems will affect both our lived experience of cities and farmland. This talk has highlighted some use cases across many domains where AI could be applied for social good.

Prof. David Lo, B.Eng (NTU), PhD (NUS)

Professor and Lee Kuan Yew Fellow
School of Information Systems
Singapore Management University
80 Stamford Road, Singapore 178902

David Lo is an ACM Distinguished Member (Scientist) and Professor of Computer Science at Singapore Management University, leading the Software Analytics Research (SOAR) group. He is also the inaugural Director of the Research lab in Intelligent Software Engineering (RISE). His research interest is in the intersection of software engineering, cybersecurity and data science, encompassing socio-technical aspects and analysis of different kinds of software artefacts, with the goal of improving software quality and security and developer productivity. His work has been published in major and premier conferences and journals in the area of software engineering, AI, and cybersecurity attracting substantial interest from the community.

He has won more than 15 international research and service awards including 6 ACM SIGSOFT Distinguished Paper Awards and the 2021 IEEE TCSE Distinguished Service Award. His work has been supported by NRF, MOE, NCR, AI Singapore, and several international research projects. He has served in more than 30 organizing committees and numerous program committees of research conferences including serving as general or program co-chairs of MSR 2022, ASE 2020, MOBILESoft 2020, ISEC 2020, SANER 2019, QRS 2019, ICSME 2018, ICPC 2017, ASE 2016, and SCAM 2015. He is also serving in the editorial board of IEEE Transactions on Software Engineering, Empirical Software Engineering, IEEE Transactions on Reliability, Automated Software Engineering, Journal of Software: Evolution and Process, Information and Software Technology, Journal of Software Engineering Research and Development, Information Systems, and Neurocomputing (Software Section). His former PhD students, trainees and postdocs have secured faculty positions (e.g., Zhejiang University, China; Monash University, Australia; University of Melbourne, Australia; Queen's University, Canada; Mississippi State University, USA; ITTelkom Surabaya, Indonesia) and employment at high-tech industries (e.g., Microsoft, Canada; Schroder Investment Management, Luxembourg; Hudson River Trading, Singapore; Veracode, Singapore) around the globe.

Title: Finding a Needle in a Haystack: The Case with Software Bugs

Keywords: Software Engineering; AI; Software Bugs


Software bugs come in various shapes and sizes. They affect businesses and end-users, and many have serious consequences. Fortunately, bugs are anomalies -- the majority of software code is correct. However, this fact makes bug detection hard. This talk will present how AI can be used to identify such anomalous and undesirable code. The talk will highlight one of our latest works that identifies API misuses through active learning and discriminative pattern mining. It will also present our recent work that learns source code representations helpful for a number of downstream tasks on bug identification and management. This talk will also describe open problems and opportunities, with the goal of encouraging more research in this exciting topic at the intersection of software engineering and artificial intelligence.