The 12th International Conference on Advances in Information Technology (IAIT2021)

29 June – 1 July 2021, Bangkok , Thailand.


About Us

The International Conference on Advances in Information Technology (IAIT2021) is a premier forum to present and exchange ideas about recent technological advancements and breakthrough research in Information Technology. IAIT2021 will be the 12th in the series and hosted by the School of Information Technology, King Mongkut’s University of Technology Thonburi, Bangkok, Thailand.

The 21st century has witnessed a fast development of various information and communication technologies. At the same time, there has been a lot of efforts to use these information technologies for providing innovative and non-precedent services to the end users. Also, there are widespread applications of various information and communication technologies to different business, services and social sectors such as green convergence, next generation broadcasting and media, mobile convergence, financial technologies, healthcare, and several other smart applications. This year the core theme of this conference is “Intelligence and Innovation for Digital Business and Society,” focusing on the digital disruption of the ICT technologies and their impact on several business aspects and the society in general. IAIT2021 aims to be a unique global event for the researchers, academics and industry professionals and bring all of them under one roof for interaction and dissemination of information regarding the latest developments and applications in the emerging ICT centric applications for a futuristic digital business and society.

THEME : Intelligence and Innovation for Digital Business and Society

Track I : Data Science and AI

– Deep learning and Neural Networks
– Image Processing and Computer Vision
– Cognitive computing and recognition
– Natural Language Processing and Text Mining
– Ontology and Semantic Web  
– Data Mining, Knowledge Discovery and Management 
– Big Data Analytics
– Evolutionary Computation and Particle Swarm Optimization
– Decision Modeling and Optimization
– Information Retrieval
– Intelligent Agents and Multi-Agent Systems
– Computer Simulation and Modeling
– Artificial Life

Track II : Network, IOT and Securities

– Network Management and Analysis
– Mobile Ad hoc network
– The Future of digital network & protocols
– Cloud and Grid computing
– Green communication network and Sustainable computing
– Radio-frequency identification (RFID) technology
– Localization and Navigation Systems
– Internet of Things and Wireless Sensor Networks
– Network Protocol and Architecture
– Parallel and Distributed Computing
– Ubiquitous computing, Ambient Intelligence

Track III : SW Development and Human-Centric Design

– Software Architecture, Design and Engineering
– Process Management & Improvement
– Design Patterns and Frameworks
– Business Process Reengineering & Science
– Virtual Reality
– Human-Machine Interface and Communications
– Behavior and Community Analytics
– Assistive and Companion Technologies
– E-governance: Economics and Development
– Sports and rehabilitation 
– Voice interface

Track IV : Applications for business and well-being

– Covid-19: Innovations
– Healthcare
– e-Business, e-Commerce, and e-Government
– Social cognition and analytic
– FinTech and Blockchain
– Online learning and education paradigm
– Recommender and Warning Systems 
– Technology adoption Model and Analysis
– Financial, Time Series & Portfolio Analysis
– e-learning
– Intelligent Tutoring Systems
– Web Mining & Multimedia Intelligence









Prospective authors are invited to submit original, high quality manuscripts strictly formatted as per the new ACM Proceedings Template (downloadable from : or available at “ACM proceedings template”. The submitted manuscripts should have a minimum of 5 pages. Although there is no strict upper bound on the maximum number of pages, we recommend having a maximum of 10 pages for expediting the review process. Kindly note that there are no overlength charges.

Paper submissions can be made via EasyChair at the following link: . All the submissions must be done both in the PDF format along with the source files (either Word or LaTeX files). Since IAIT follows a strict double-blind peer-review process it is requested that the authors should not include their names and affiliations or any other personal identifiable information while submitting the initial version of their manuscript for review. Upon acceptance they will be allowed to include all the relevant information.

All the accepted and presented papers will be published by the reputed ACM ICPS Series having ISBN number 978-1-4503-9012-5 and indexed by all major databases like Scopus, ISI Web of Science (Thompson Reuters), Ei Compendex, etc.

Review Process​

IAIT follows a strict and rigorous double-blind peer review process where each submitted manuscript will be reviewed by at least 3 reviewers who are experts in their respective fields. The authors are expected to receive the full review within 30 days of their initial submission. The accepted manuscript must be revised, taking into consideration the referees’ comments and suggestions. All the revised manuscripts will undergo a second round of peer review process (if possible by the same reviewers) before inclusion in the conference proceedings. The authors will be given 15 days to revise their manuscript for resubmission.

The submission of a paper implies that it is original and has not been submitted and published elsewhere or currently under consideration somewhere else. In addition, at least one full registration is required per accepted paper, and the paper must be presented by an author if accepted.


Registration fee as follow

Registration fee as follow $150/฿4,500

Detail Here

  1. Debit cards payment are not allowed.
  2. The credit card payment is preferable.
  3. If using bank transfer, any cost incurred, e.g. transfer fees of bank suchange, must be borne by the author(s).
  4. Contact for any question or concerns.


Dr. Himanshu Thapliyal

Department of Electrical and Computer Engineering,
University of Kentucky, Lexington, KY, United States
(Click for more details)

Title : Energy and Cybersecurity Constraints in Smart Systems

Abstract : With the growth of Internet-of-Things (IoT) enabled smart systems, the potential threat vectors for malicious cyber-attacks are rapidly expanding. As an example of cyber-attack, software vulnerabilities could be exploited to remotely take control of safety-critical systems in the vehicle. These cyberattacks are threat to the reliability and safety of the smart systems, consumer’s personal information and piracy or cloning of intellectual property. As the IoT paradigm emerges, there are challenging requirements to design area-efficient, energy-efficient, and secure systems. Further, due to novel computing paradigms such as quantum computing there is a threat that the fundamental public-key cryptography tools could be broken. Considering these challenges, the talk would provide perspective towards the energy and cybersecurity constraints on smart systems and possible solutions for solving this important paradox

Dr. Irwin King

Department of Computer Science & Engineering,
The Chinese University of Hong Kong
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Title : Graph Embedding

Abstract : Graph embedding refers to the problem of projecting the elements in a graph, including nodes, edges, substructures, or the whole graph, to a low-dimensional space while preserving the graph’s structural information. Graph embedding is an essential technique for analyzing various types of large-scale networks such as social networks, traffic networks, semantic networks, etc. To cope with the growing scale and diversifying structure of modern networks, researchers have proposed novel methods for graph embedding for feature engineering. In this talk, we present the recent advances and future directions in the theoretical development graph embedding and introduce some common applications for social network analysis, such as node classification, link prediction, community detection, and social recommendation.

Dr. Simon Fong

The Computer and Information Science Department,
the University of Macau, Macau
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Title : Machine Learning at Its Best for Novel Applications

Abstract : We all want to have a perfect machine learning model for a perfect prediction. There exists unfortunately no universal ML model that suits all. Different applications would have their own performance requirements and unique characteristic of data. By a popular belief of no-free-lunch-theorem, no algorithm in fact is the best under all situations; likewise an algorithm works well outperforming others for one particular dataset may not generalize well in other cases. In this talk, from my two decades of experiences in data mining (well, not always successful), I will be sharing some tips and possibilities in crafting up a humbly-speaking a near-best ML model without reinventing the wheels, for solving supervised learning problems upon adaptive, multi-view, varying resolutions, real-time, big and perhaps super big data of different kinds. Techniques that fix the ins and outs of a ML model ranging from data pre-processing, smart data sampling to hyperparameter optimization are reviewed and shown to you, via a simple methodology called GROOMS for configuring your best bet for machine learning. Case studies of radiology-oriented cancer detection over medical images, IoT data stream mining for human activity recognition and even Lidar point cloud (spatial resolution 1 meter in radius per cycle gives you 800Mb of data!) for a self-flying UAV are presented and discussed. It is hoped that by using an adaptive approach, a ML model would be positioned at its best shape, when it is being applied in different situations.

Dr. Susmita Ghosh

Department of Computer Science & Engineering,
Jadavpur University, Kolkata, India
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THEME: Women in Science and Technology

Dr. Julia Neidhardt

The E-Commerce Research Unit, TU Wien, Austria
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Title : Digital Humanism

Abstract : While digitalization opens unprecedented opportunities, it also raises serious concerns including the monopolization of the Web, the formation of filter bubbles and echo chambers as islands of disjoint truths, ethical questions related to artificial intelligence or the spread of digital surveillance. The talk deals with these questions and calls for a digital humanism that describes, analyzes and above all influences the complex interplay between technology and humanity for a better society.

Dr. Punnarumol Temdee

The School of Information Technology, Mae Fah Luang University, Thailand
(Click for more details)

Title :
Personalized Environments: Smart Applications in the Sense of Context-aware Computing and Artificial Intelligence

Abstract : The personalized environment is one of the applications of context-aware computing where different types of contexts are used for triggering activities satisfied by the user. Artificial Intelligence deals with a lot of data and manipulates them to provide the smart decision ubiquitously both on-device and on-demand. This talk focuses on demonstrating the examples of the personalized environment in 2 different domains including learning and healthcare. Personalized learning is the novel pedagogical approach for the smart learning environment. Since the learners are different, they deserve different learning paces to explore themselves in the virtual learning environment. At the same time, personalized healthcare can transform patients’ lives by delivering care customized to the individual. Both environments need to know who the user is and provide what they need. From the sense of context-aware computing, both environments share some common components especially in terms of context acquisition, manipulation, and delivery. From the sense of AI, both of them share common tasks including user modeling and recommendation provision.

Pornthip Kongchun

COO and Co-Founder at Jitta, Thailand
(Click for more details)


    International Advisory Board
  • Borworn Papasratorn, King Mongkut’s University of Technology Thonburi, Thailand
  • Gerald Quirchmayr, University of Vienna, Austria
  • Himanshu Thapliyal, University of Kentucky, United States
  • Irwin King, The Chinese University of Hong Kong, Hong Kong
  • Jonathan Hoyin Chan, King Mongkut’s University of Technology Thonburi, Thailand
  • Lance Chun Che Fung, Murdoch University, Australia
  • Nuttanont Hongwarittorrn, Thammasat University , Thailand
  • Pascal Bouvry, University of Luxembourg, Luxembourg
  • Rattikorn Hewett, Texas Tech University, United States
  • Simon Fong, University of Macau, Macau
  • Thepchai Supnithi, National Electronics and Computer Technology Center, Thailand


    General Chair
  • Kriengkrai Porkaew, King Mongkut’s University of Technology Thonburi, Thailand
    Organizing Committee
  • International Relation Chair : Chonlameth Arpnikanondt, King Mongkut’s University of Technology Thonburi, Thailand
  • Finance Chair : Vajirasak Vanijja, King Mongkut’s University of Technology Thonburi, Thailand
  • Organizing Committee Chair : Suree Funilkul, King Mongkut’s University of Technology Thonburi, Thailand
  • Publications Chair : Debajyoti Pal, King Mongkut’s University of Technology Thonburi, Thailand
  • Publicity and Virtual Exhibits Chair : Worarat Krathu, King Mongkut’s University of Technology Thonburi, Thailand


     Program Committee Chairs
  • Bunthit Watanapa, King Mongkut’s University of Technology Thonburi, Thailand
  • Mark Chignell, University of Toronto, Canada
    International Program Committee
  • Albena Dimitrova Mihovska, Aarhus University, Denmark
  • Ambuj Kumar, Aarhus University, Denmark
  • Ashish Ghosh, Indian Statistical Institutue, India
  • Badri Narayan Subudhi, Indian Institute of Technology Jammu, India
  • Cathal Gurrin, Dublin City University, Ireland
  • Cheong Ghil Kim, Namseoul University, South Korea
  • Claudio Angione, Teesside University, United Kingdom
  • Guohui Xiao, Free University of Bozen-Bolzano, Italy
  • Indrajit Bannerjee, Indian Institute of Engineering Science and Research, Shibpur, India
  • Jari Hautamaki, JAMK University of Applied Sciences, Finland
  • Jean-Francois Couchot, University of Franche-Comté, France
  • Julia Neidhardt, Vienna University of Technology, Austria
  • Justin Dauwels, Nanyang Technological University, Singapore
  • Marzia Hoque Tania, University of Oxford, United Kingdom
  • Mohammad Abdur Razzaque, Teesside University, United Kingdom
  • Pranab Roy, Indian Institute of Engineering Science and Technology, Shibpur, India
  • Pruthikrai Mahatanankoon, Illinois State University, United States
  • Rajarshi Pal, Institute for Development and Research in Banking Technology, India
  • Susmita Ghosh, Jadavpur University, India
  • Worrawat Engchuan, The Centre for Applied Genomics, Sickkids Hospital, Canada
  • Xiangmin Zhang, Wayne State University, United States
  • Yu-Tso Chen, National United University, Taiwan

    Local Program Committee
  • Anongnart Srivihok, Kasetsart University, Thailand
  • Apivadee Piyatumrong, National Electronics and Computer Technology Center, Thailand
  • Chakarida Nukoolkit, King Mongkut’s University of Technology Thonburi, Thailand
  • Choochart Haruechaiyasak, National Electronics and Computer Technology Center, Thailand
  • Kitsuchart Pasupa, King Mongkut’s Institute of Technology Ladkrabang, Thailand
  • Kittichai Lavangnananda, King Mongkut’s University of Technology Thonburi, Thailand
  • Krisana Chinnasarn, Burapha University, Thailand
  • Nipon Charoenkitkarn, King Mongkut’s University of Technology Thonburi, Thailand
  • Pizzanu Kanongchaiyos, Chulalongkorn University, Thailand
  • Pornchai Mongkolnam, King Mongkut’s University of Technology Thonburi, Thailand
  • Punnarumol Temdee, Mae Fah Luang University, Thailand
  • Sansanee Auephanwiriyakul, Chiang Mai University, Thailand
  • Somying Thainimit, Kasetsart University, Thailand
  • Sotarat Thammaboosadee, Mahidol University, Thailand
  • Tuul Triyason, King Mongkut’s University of Technology Thonburi, Thailand
  • Wichian Chutimaskul, King Mongkut’s University of Technology Thonburi, Thailand
  • Wilawan Rukpakavong, Thammasat University, Thailand
  • Yaowadee Temtanapat, Thammasat University, Thailand


    Special Session Program Committee
  • Kitsuchart Pasupa, King Mongkut’s Institute of Technology Ladkrabang, Thailand
  • Kiyota Hashimoto, Prince of Songkla University, Thailand
  • Kuntpong Woraratpanya, King Mongkut’s Institute of Technology Ladkrabang, Thailand
  • Phayung Meesad, King Mongkut’s University of Technology North Bangkok, Thailand
  • Vithida Chongsuphajaisiddhi, King Mongkut’s University of Technology Thonburi, Thailand



History of the conference :



King Mongkut’s University of Technology Thonburi (KMUTT)

126 Pracha Uthit Rd., Bang Mod, Thung Khru, Bangkok 10140, Thailand.


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