MIWAI 2022

The 15th Multi-Disciplinary International Conference on Artificial Intelligence 2022 (MIWAI2022)

November 17-19, 2022, ONLINE

The deadline for submission is July 31th, 2022


November 17, 2022
MIWAI2022 Schedule!!!


Download MIWAI2022 Proceeding

All the manuscripts could be downloaded from SpringerLink from November 14 to December 14, 2022.


Prof. Rapeepan Pitakaso

Pitakaso is a full professor in the department of industrial engineering at Thailand's Ubon Ratchatani University. His research focuses on the development of efficient metaheuristics for solving a variety of combinatorial optimization problems, such as logistics, transportation, and production planning. When he received his bachelor's and master's degrees in industrial engineering in 2001 and 2003, Pitakaso earned his doctorate from the faculty of business administration at the University of Vienna, Austria. Since 2005, when he received his doctorate, each of his published publications has focused on metaheuristics development. Variable neighborhood approach adaptive search was the first of his heuristic to be published in 2019, while AMIS was released in 2022.

Artificial Multiple Intelligence System (AMIS) and its Applications

Abstract: AMIS is an innovative metaheuristic that draws influence from Gardner's theory or the theory of multiple intelligences. It is advocated that the search power of heuristics be expanded by incorporating various forms of improvement/local search methods in order to improve current solutions. The improvement strategies are deliberately constructed in accordance with Gardner's philosophies. We believe that different phases of the heuristics may require different types of local search approaches; hence, the well designed improvement techniques will be chosen independently for usage when the algorithm searches in different phases. AMIS employs actual value encoding techniques; hence, it can decode to solve a multitude of combinatorial and continuous optimization issues. It is also used to improve the quality of the classification answers given by the deep learning algorithms employed to categorize a number of contemporary hot topics. During the presentation, participants of MIWAI will be exposed to the essential principles and applications of AMIS.

Presentation (PDF)


Artificial Intelligence (AI) research has broad applications in real world problems. Examples include control, planning and scheduling, pattern recognition, knowledge mining, software applications, strategy games and others. The ever-evolving needs in society and business both on a local and on a global scale demanding better technologies for solving more and more complex problems. Such needs can be found in all industrial sectors and in any part of the world.

This conference aims to be a meeting place where excellence in AI research meets the needs for solving dynamic and complex problems in the real world. The academic researchers, developers, and industrial practitioners will have extensive opportunities to present their original work, technological advances and practical problems. Participants can learn from each other and exchange their experiences in order to fine tune their activities in order to help each other better. The main purposes of the MIWAI series of conference are:

  • To provide a meeting place for AI researchers and practitioners.

  • To inform research students about cutting-edge AI research via the presence of outstanding international invited speakers.

  • To raise the standards of practice of AI research by providing researchers and students with feedback from an internationally-renowned program committee.


MIWAI 2022




The 15th Multi-disciplinary International Conference on Artificial Intelligence (MIWAI 2022) will be a virtual conference and held on November 17-19, 2022. The main objective of the conference is to present the latest research and results of scientists related to AI topics.

MIWAI 2022 provides opportunities for the delegates to exchange new ideas and establish future collaborations worldwide. This year the conference is organized by Mahasarakham University, with association of Muban Chombueng Rajabhat University and IEEE SMC, Thailand Chapter.

MIWAI aims to promote AI research in both theoretical and applied research addressing real-world applications. We encourage researchers to submit their unpublished papers in the following areas, but not limited to:

  • Theoretical Foundation: Cognitive Science; Computational Philosophy; Game Theory; Graphical Models; Knowledge Representation and Reasoning; Logic; Fuzzy Logic; Multi-agent Systems; Neurosciences; Probabilistic Reasoning; Qualitative Reasoning; Uncertainty

  • Cognitive Computing: Affective Computing; Computer Vision; Natural Language Processing; Self-aware Systems; Speech Recognition; Social Cognition

  • Computational Intelligence: Artificial Intelligence; Deep Learning; Evolutionary Computing; Machine Learning; Pattern Recognition; Planning and Scheduling; Social Computing; Swarm Intelligence

  • AI Applications: Ambient Intelligence; Big Data Analysis; Biometrics; Bioinformatics; Brain Machine Interface; Chatbots; Creative Computing; Decision Support Systems; E-commerce; Energy Management; Health Assessment; Industrial Applications of AI; Intelligent Information Systems; Knowledge Management; Telecommunications and Web Services; Security and Privacy Management; Surveillance; Spam Filtering; Software Engineering; Social Networking Security; Semantic Web; Robotics; Recommender Systems; Sport and Rehabilitation; Virtual Reality & Augmented Reality


The organizing committee for MIWAI2022 invites proposals for Special Sessions on emerging topics in artificial intelligence. Please read carefully the submission guideline provided below before submitting your proposal. Please submit your applications to olarik.s@msu.ac.th. Proposals should include:

  • Special session title
  • Session organizer(s) and chair(s)
  • A short description (3-5 lines) & covered topics
  • Related topics

Papers submitted to special sessions will have to be evaluated and peer-reviewed along the same criteria of the regular sessions.


(12:00 a.m., BKK Time)

Second Round Submissions Deadline: June 30th, 2022
Second Round Notification: August 10th, 2022

Third Round Submissions Deadline: July 31th, 2022
Third Round Notification: September 20, 2022

Conference dates: November 17th-19th, 2022


ID Authors Title
0594 Pratya Nuankaew, Patchara Nasa-Ngium and Wongpanya Nuankaew Improving Predictive Model to Prevent Students’ Dropout in Higher Education Using Majority Voting and Data Mining Techniques
4065 Orathai Chantamuang, Jantima Polpinij, Vorakit Vorakitphan and Bancha Luaphol Sentence-Level Sentiment Analysis for Student Feedback Relevant to Teaching Process Assessment
4167 Patchanok Srisuradetchai and Wararit Panichkitkosolkul Using Ensemble Machine Learning Methods to Forecast Particulate Matter (PM2.5) in Bangkok, Thailand
4219 Rukchart Prasertpong Fuzzy Soft Relations-Based Rough Soft Sets Classified by Overlaps of Successor Classes with Measurement Issues
4725 Sakorn Mekruksavanich, Ponnipa Jantawong, Narit Hnoohom and Anuchit Jitpattanakul Wearable Fall Detection Based on Motion Signals using Hybrid Deep Residual Neural Network
5121 Philippe Fournier-Viger, M. Saqib Nawaz, Yulin He, Youxi Wu, Farid Nouioua and Unil Yun MaxFEM: Mining Maximal Frequent Episodes in Complex Event Sequences
6226 M. Saqib Nawaz, Philippe Fournier-Viger, Naji Alhusaini, Yulin He, Youxi Wu and Debdatta Bhattacharya LCIM: Mining Low Cost High Utility Itemsets
6513 Suradej Intagorn, Suriya Pinitkan, Mathuros Panmuang and Chonnikarn Rodmorn Helmet Detection System for Motorcycle Riders with Explainable Artificial Intelligence Using Convolutional Neural Network and Grad-CAM
7004 Wongpanya Nuankaew, Sittichai Bussaman and Pratya Nuankaew Evolutionary Feature Weighting Optimization and Majority Voting Ensemble Learning for Curriculum Recommendation in the Higher Education
7127 Hamizan Sharbini, Roselina Sallehuddin and Habibollah Haron Optimizing the Social Force Model using new Hybrid WOABAT-IFDO in Crowd Evacuation
7386 Panawit Hanpinitsak, Pitiphum Posawang, Sumate Phankaweerat and Wasan Pattara-Atikom Method for Image-based Preliminary Assessment of Car Park for the Disabled and the Elderly using Convolutional Neural Networks and Transfer Learning
7734 Chattrakul Sombattheera Computing Nash Equilibrium among Crops in Real World Agriculture Domain
8622 Naruson Srivaro and Nguyen Duy Hung The Analysis of Explainable AI via Notion of Congruence
8953 Narit Hnoohom, Anuchit Jitpattanakul, Sakorn Mekruksavanich and Pitchaya Chotivatunyu Hierarchical Human Activity Recognition based on Smartwatch Sensors using Branch Convolutional Neural Networks
9507 Sakorn Mekruksavanich, Ponnipa Jantawong, Narit Hnoohom and Anuchit Jitpattanakul Recognizing Driver Activities using Deep Learning Approaches based on Smartphone Sensors
9882 Narit Hnoohom, Anuchit Jitpattanakul, Sakorn Mekruksavanich and Nagorn Maitrichit Multi-resolution CNN for Lower Limb Movement Recognition based on Wearable Sensors
3286 Chattrakul Sombattheera News Feed: A Multiagent-based Push Notification System
8733 Sanya Khruahong, Olarik Surinta and Sinh Cong Lam Sentiment Analysis of Local Tourism in Thailand from YouTube Comments using BiLSTM
8177 Chattrakul Sombattheera Stable Coalitions of buyers in Real World Agriculture Domain



Both research and application papers are solicited. All submitted papers will be reviewed on the basis of technical quality, relevance, significance, and clarity. Each paper should have no more than twelve (12) pages in the Springer-Verlag LNCS style. The authors' names and institutions should not appear in the paper. Unpublished work of the authors should not be cited.


We still accept short papers for MIWAI 2022. They may present work in progress, providing an opportunity for sharing valuable ideas, eliciting useful feedback on early-stage work, and fostering discussions and collaborations among researchers interested in the broad area of artificial intelligence.

We encourage contributions presenting thought-provoking ideas and promising (preliminary) results in realizing them. We also encourage researchers and practitioners to submit reports on work in progress to discuss ongoing research, practical experience, challenges or issues related to artificial intelligence. Short papers should not exceed 8 pages in length and should not have been submitted for review or published elsewhere.



  • To submit a paper please go to


MIWAI strongly expects its submitting authors to adhere to the academic code of honor. In particular, this means that any paper that is eventually accepted to the technical program will be on the understanding that at least one co-author of the paper both registers *and attends* the conference to present the paper.

  • At least one co-author for each accepted paper must *register* before the author registration deadline (June 30th, 2022) has passed. Failure to do so will result in removal of the paper from the printed and online proceedings.
  • Authors who are registered but then find that they cannot attend due to exceptional circumstances beyond their control should:
    • Notify the program chairs by email as soon as possible with a satisfactory explanation of these circumstances.
    • Make every possible arrangement for another co-author to present the paper in their place. (In exceptional circumstances we may allow a presentation by video.)
  • If a registered author fails to show at the conference without doing either of (a), (b) above then:
    • The paper will be removed from the online proceedings.
    • The registered author will be banned from having papers accepted to MIWAI for a period of 3 years.
    • A formal letter of complaint will be written to the author's head of faculty.



    ■ Arun Agarwal, University of Hyderabad, India
    ■ Rajkumar Buyya, University of Melbourne, Australia
    ■ Patrick Doherty, University of Linkoping, Sweden
    ■ Rina Dechter, University of California, Irive, USA
    ■ Leon Van Der Torre, University of Luxembourg, Luxembourg
    ■ Peter Haddawy, Mahidol University, Thailand
    ■ Jérôme Lang, University Paris-Dauphine, France
    ■ James F. Peters, University of Manitoba, Canada
    ■ Somnuk Phon-Amnuaisuk, UTB, Brunei
    ■ Srinivasan Ramani, IIIT Bangalore, India
    ■ C Raghavendra Rao, University of Hyderabad, India


    ■ Sasitorn Kaewman, Mahasarakham University, Thailand


    ■ Richard Booth, Cardiff University, UK
    ■ Chattrakul Sombattheera, Mahasarakham University, Thailand


    ■ Olarik Surinta, Mahasarakahm University, Thailand
    ■ Kevin Kam Fung Yuen, The Hong Kong Polytechnic University, Hong Kong


    ■ Arun Agarwal, University of Hyderabad, India
    ■ Grigoris Antoniou, University of Huddersfield, UK
    ■ Adham Atyabi, University of Colorado Colorado Springs & Seattle Children's Research Institute, USA
    ■ Thien Wan Au, Universiti Teknologi Brunei, Brunei
    ■ Costin Badica, University of Craiova, Computer and Information Technology Department, Romania
    ■ Raj Bhatnagar, University of Cincinnati, USA
    ■ Richard Booth, Cardiff University, UK
    ■ Zied Bouraoui, CRIL - CNRS & Univ Artois, France
    ■ Gauvain Bourgne, CNRS & Sorbonnes Universités, UPMC Paris 06, LIP6, France
    ■ Rapeeporn Chamchong, Mahasarakham University, Thailand
    ■ Zhicong Chen, Fuzhou University, China
    ■ Suwannit-Chareen Chit, Universiti Utara Malaysia, Malaysia
    ■ Phatthanaphong Chomphuwiset, Mahasarakham University, Thailand
    ■ Sook Ling Chua, Multimedia University, Malaysia
    ■ Todsanai Chumwatana, Rangsit University, Thailand
    ■ Abdollah Dehzangi, Morgan State University, USA
    ■ Juergen Dix, Clausthal University of Technology, Germany
    ■ Nhat-Quang Doan, University of Science and Technology of Hanoi, Vietnam
    ■ Abdelrahman Elfaki, University of Tabuk, Saudi Arabia
    ■ Lk Foo, Multimedia University, Malaysia
    ■ Hui-Ngo Goh, Multimedia University, Malaysia
    ■ Chatklaw Jareanpon, Faculty of Informatics, Mahasarakham University, Thailand
    ■ Himabindu K, Vishnu Institute of Technology, Bhimavaram, India
    ■ Manasawee Kaenampornpan, Mahasarakham University, Thailand
    ■ Ng Keng Hoong, Multimedia University, Malaysia
    ■ Kok Chin Khor, Universiti Tunku Abdul Rahman, Malaysia
    ■ Suchart Khummanee, Faculty of Informatics, Mahasarakham, Thailand
    ■ Ven Jyn Kok, National University of Malaysia, Malaysia
    ■ Satish Kolhe, North Maharashtra University, Jalgaon, India
    ■ Raja Kumar, Taylor's University, Malaysia
    ■ Chee Kau Lim, University of Malaya, Malaysia
    ■ Chidchanok Lursinsap, AVIC Research Center, Mathematics, Chulalongkorn University, Bangkok, Thailand
    ■ Sebastian Moreno, Universidad Adolfo Ibañez, Chile
    ■ Sven Naumann, University of Trier, Germany
    ■ Atul Negi, University of Hyderabad, India
    ■ Thi Phuong Nghiem, USTH, Vietnam
    ■ Dung D. Nguyen, Institute of Information Technology, Vietnam Academy of Science and Technology, Vietnam
    ■ Thi-Oanh Nguyen, VNU University of Science, Hanoi, Vietnam
    ■ Tho Quan, Hochiminh City University of Technology, Vietnam
    ■ Srinivasan Ramani, IIIT Bangalore, India
    ■ Alexis Robbes, University of Tours, France
    ■ Annupan Rodtook, Ramkhamhaeng university, Thailand
    ■ Harvey Rosas, University of Valparaiso, Chile
    ■ Junmo Kim (KAIST), Korea
    ■ Adrien Rougny, Biotechnology Research Institute for Drug Discovery, National Institute of Advanced Industrial Science and Technology, Japan
    ■ Jose H. Saito, Universidade Federal de São Carlos, Brazil
    ■ Nicolas Schwind, National Institute of Advanced Industrial Science and Technology (AIST), Japan
    ■ Myint Myint Sein, University of Computer Studies, Yangon, Myanmar
    ■ Jun Shen, University of Wollongong, Australia
    ■ Guillermo R. Simari, Universidad del Sur in Bahia Blanca, Argentina
    ■ Alok Singh, University of Hyderabad, India
    ■ Dominik Slezak, University of Warsaw, Poland
    ■ Chattrakul Sombattheera, Faculty of Informatics, Mahasarakham University, Thailand
    ■ Heechul Jung, Kyungpook National University (KNU), Korea
    ■ Panida Songrum, Faculty of Informatics, Mahasarakham University, Thailand
    ■ Frieder Stolzenburg, Harz University of Applied Sciences, Germany
    ■ Olarik Surinta, Faculty of Informatics, Mahasarakham University, Thailand
    ■ Ilias Tachmazidis, University of Huddersfield, UK
    ■ Thanh-Hai Tran, MICA, Vietnam
    ■ Suguru Ueda, Saga University, Japan
    ■ Chau Vo, Ho Chi Minh City University of Technology, Vietnam National University – HCMC, Vietnam
    ■ Chalee Vorakulpipat, NECTEC, Thailand
    ■ Kewen Wang, Griffith University, Australia
    ■ Kevin Wong, Murdoch University, Australia
    ■ Pornntiwa Pawara, Mahasarakham University, Thailand
    ■ Peter Scully, Mahasarakham University, Thailand
    ■ Sheng He, Harvard Medical School, USA
    ■ Maria do Carmo Nicoletti, UNIFACCAMP, SP, Brazil
    ■ Khanista Namee, King Mongkut's University of Technology North Bangkok, Thailand
    ■ Sajjaporn Waijanya, Silpakorn University, Thailand
    ■ Kraisak Kesorn, Naresuan University, Thailand
    ■ Narit Hnoohom, Mahidol University, Thailand
    ■ Artitayaporn Rojarath, Mahasarakham University, Thailand
    ■ Emmanuel Okafor, Ahmadu Bello University, Nigeria
    ■ Sajjaporn Waijanya, Silpakorn University, Thailand
    ■ Sakorn Mekruksavanich, University of Phayao
    ■ Jantima Polpinij, Mahasarakham University
    ■ Narumol Choomuang, Muban Chombueng Rajabhat University


    ■ Olarik Surinta, Mahasarakham University, Thailand
    ■ Artitayaporn Rojarath, Mahasarakham University, Thailand


    ■ Olarik Surinta, Mahasarakham University, Thailand


    ■ Panich Sudkhot, Mahasarakham University, Thailand


The proceedings of MIWAI2022 will be published by Springer in LNAI, a topical subseries of LNCS focusing on artificial intelligence.

Download MIWAI2022 Accepted Papers

Previous MIWAI's proceedings in LNAI book series can be found here. MIWAI 2019 MIWAI 2019 MIWAI 2018 MIWAI 2017 MIWAI 2016 MIWAI 2015 https://link.springer.com/conference/miwai

SCImago Journal & Country Rank

Indexed In


(Indexed in the ISI Conference Proceedings Citation Index, Scopus, EI Engineering Index, Google Scholar, Springerlink, dblp, etc.)


Registration Fees

Each accepted paper should have registration fee paid by at least one of the authors by September 1, 2022 in order to include the paper in the LNAI. The fee details are given in the table below.

Important Note: At least one author of each accepted paper must register for the conference in order for their paper to be included in the LNAI. Additional (co)authors of that paper may also register if they wish to.

Each paper must be accompanied by at least one individual mandatory registration. The SINGLE registration includes:

  • Attendance at all MIWAI 2022 sessions
  • Conference proceedings published by Springer (Online access)

  • Note: The conference organizers WILL NOT be responsible for missing payments and/or any other problems related to the payments. The registration fee is non-refundable.
    (Fee in USD)
    Standard Fee
    Additional Papers
    Participants (no paper)


Olarik Surinta: olarik.s@msu.ac.th


MIWAI 2021
Venue: online
Date: July, 2nd - 3rd, 2021
Organizer: Korea Advanced Institute of Science and Technology (KAIST), Korea and Faculty of Informatics, Mahasarakham University, Thailand
Link: MIWAI 2021

MIWAI 2019
Venue: Kuala Lumpur, Malyasia
Date: November, 17th - 19th, 2019
Organizer: Universiti Utara Malaysia, Malaysia and Faculty of Informatics, Mahasarakham University, Thailand
Link: MIWAI 2019

MIWAI 2018
Venue: Hanoi, Vietnam
Date: November, 18th - 20th, 2018
Organizer: Faculty of Informatics, Mahasarakham University, Thailand
Link: MIWAI 2018

MIWAI 2017
Venue: Gadong, Brunei Darussalam
Date: November, 20th - 22th, 2017
Organizer: Universiti Teknologi Brunei, Brunei and Faculty of Informatics, Mahasarakham University, Thailand
Link: MIWAI 2017

MIWAI 2016
Venue: Chiang Mai, Thailand
Date: December, 7th - 9th, 2016
Organizer: Faculty of Informatics, Mahasarakham University, Thailand
Link: MIWAI 2016