The reception dinner @ November 13, 2024 (Time: 18:00 Bangkok, Thailand time.)


📢 MIWAI 2024 Zoom Test Session 📢

To ensure a smooth experience during MIWAI 2024, we’ll be hosting a test session for all attendees to check their audio, video, and connectivity settings. This is a chance to make sure everyone is ready and troubleshoot any issues in advance. If the Zoom application hasn't been installed on your PC or Mac, please go to https://zoom.us/download the prompts to complete the installation. You may need to enter your PC/Mac permission to allow installation.

🛠 Test Session Details
Date: TUESDAY, NOVEMBER 12, 2024
Time: @10:00-16:00 UTC+7 (Bangkok, Thailand time.)
Zoom Link: Join Test Session
Meeting ID: 793 9829 2507
Passcode: 6DL3pP
What to Expect:
  • A chance to test your microphone and camera.
  • Check that you can share your screen if needed.
  • Verify stable internet connection and access to the event.

Please join the session to ensure everything runs smoothly for the main event. We appreciate your cooperation and look forward to an amazing MIWAI 2024!


📢 MIWAI 2024 Conference Announcement 📢

All dates and times are in Bangkok, Thailand

We’re excited to announce the **MIWAI 2024 Conference**! This year’s event will feature insightful discussions, presentations, and networking opportunities in the field of artificial intelligence and cognitive science. Join us virtually to connect with experts and enthusiasts from around the world.

🛠 Conference Details
Date: Wednesday, November 13 - Thursday, November 14, 2024
Time: Starting at 08:30 - 18:00 UTC+7 (Bangkok, Thailand time)
Zoom Link: Join MIWAI 2024 Conference
Meeting ID: 878 3313 5517
Passcode: 296341

We look forward to seeing you there and sharing an inspiring MIWAI 2024 experience together!


Program Schedule



NOTE:

  • 1. iSAI/NLP 2024 and MIWAI 2024 participants may attend IINAE 2024 free of charge.
  • 2. Invited Talk 1-2 and Panel Discussion 1-2 will take place in room iSAI/NLP 1 (MAGENTA), in which both iSAI/NLP and MIWAI participants will gather.
  • 3. MIWAI on-line sessions are presented in LIGHT PINK background. Some on-line presenters (paper 41 & 86) will present virtually in session M-S-12.
  • 4. Due to insufficient registration numbers in tutorial couses, there will be only CiRA CORE tutorial.


Schedule details

Invited Talk 1 Speaker Asst. Prof. Supachai Vongbunyong, Ph.D.
Title Artificial Intelligence in Sustainable Manufacturing and Industry 5.0
Abstract Nowadays the world has encountered many key challenges such as aging populations, resource efficiency, and mass customization. Addressing these key challenges, this presentation explores AI's potential to transform manufacturing through increased sustainability, efficiency, and adaptability, all within the framework of a human-centered Industry 5.0 paradigm. In regard to AI technologies, they are implemented in various domains in manufacturing. Generative design enables AI-driven product innovation, while advanced machine vision improves inspection and material handling processes. AI applications in intralogistics and energy management contribute to streamlined operations and cost reductions, enhancing overall efficiency. In addition, human-robot collaboration is highlighted as a means to improve worker satisfaction by assigning repetitive or hazardous tasks to machines. For Generative AI, it is recognized as a high-value tool in manufacturing, capable of automating complex processes like test case generation, document creation, and production monitoring. Benefits of AI in this sector include continuous production, enhanced quality control, real-time decision-making, and reduced operational costs, all of which align with sustainable manufacturing goals.
Invited Talk 2 Speaker Prof. Patrick Doherty, Ph.D.
Title Collaborative Robotics for Emergency Rescue: A Distributed Task, Information, and Interaction Perspective
Abstract In the context of collaborative robotics, both distributed planning and task allocation, and acquisition of situation awareness are essential for supporting goal achievement, collective intelligence, and decision support in teams of robots and human agents. This is particularly important in applications pertaining to emergency rescue and crisis management. Given a high-level mission specification provided by a member of a rescue team, human or robotic, one then requires a mechanism for generating and executing complex, multi-agent distributed plans and tasks. The proper task representation is essential for both the generation and execution of complex multi-agent distributed tasks. Task Specification Trees have been proposed for this purpose and a Delegation Framework is used for distributed task allocation. Additionally, during operational missions, data and knowledge is gathered incrementally and in different ways by teams of heterogeneous robots and humans. We describe this as the formation and management of Hastily Formed Knowledge Networks (HFKN). The resulting distributed knowledge structures can then be queried by individual agents for decision support. These structures are represented as RDF graphs, and graph synchronization techniques are introduced to retain the consistency of the collective knowledge of a team. Flexible human interaction with teams of robots is also an essential component in emergency rescue. Integrating LLMs into the interaction process provides a new way to think about interaction.
Panel Discussion 1 Topic Toward Industry 4.0 with AI
Panel Discussion 2 Topic Toward Advanced Defense with AI

About MIWAI

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 an others. The ever-evolving needs in society and business both on a local and on a global scale demand 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.

The Multi-disciplinary International Conference on Artificial Intelligence (MIWAI), formerly called The Multi-disciplinary International Workshop on Artificial Intelligence, is a well established scientific venue in the field of artificial Intelligence. MIWAI was established more than 16 years. 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 conferences 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.
As in the previous years, MIWAI proceedings will be published in Springer’s Lecture Notes in Artificial Intelligence (LNAI) series.

Acepted papers of MIWAI 2024 will be indexed by the major databases, for example, Scopus, Ei Compendex, dblp, etc.

Call for Papers

Artificial intelligence is a broad area of research.
We encourage researchers to submit papers in the following areas but not limited to:

THEORY, METHODS AND TOOLS

  • —Cognitive Science
  • —Computational Philosophy
  • —Computational Intelligence
  • —Computer Vision
  • —Evolutionary Computing
  • —Game Theory
  • —Knowledge Representation and Reasoning
  • —Machine Learning
  • —Multi-agent Systems
  • —Natural Language Processing
  • —Planning and Scheduling
  • —Robotics
  • —Speech Recognition
  • —Uncertainty in AI
  • —Vision
  • —Web and AI

APPLICATIONS

  • —Ambient Intelligence
  • —Big Data
  • —Biometrics
  • —Bioinformatics
  • —Chatbots
  • —Decision Support Systems
  • —E-commerce
  • —Industrial Applications of AI
  • —Knowledge Management
  • —Telecommunications and Web Services
  • —Surveillance
  • —Spam Filtering
  • —Software Engineering
  • —Social Networking
  • —Security
  • —Semantic Web
  • —Recommender Systems
  • —Privacy

SUBMISSION GUIDELINES

Submission link: https://www.easychair.org/conferences/?conf=miwai2024

Both research and application papers are solicited. All submitted papers will be carefully peer-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. Springer-Verlag author instructions are available at: https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines

REGISTRATION

1. For the authors of the accepted papers:

The authors of each accepted paper must upload the camera ready version of the paper to MIWAI 2024’s submission website via Easychair by September 25, 2024 at 23:59 UTC-12. The camera ready version includes:

  • —The final pdf file of the paper which has accommodated the reviewers’ comments.
  • —A zip file of all the source files (LaTeX files with all the associated style files, special fonts and eps or bib files, or Word or rtf files).
  • —The pdf file of the signed copyright form.

The authors of each accepted papers must send us a signed copyright form. One author may sign on behalf of all of the authors of a particular paper. The copyright form must be present and correct. In first three fields of the form, insert the following information:

  • —Proposed Title of the Contribution: [ ]
  • —Author(s) Full Name(s): [ ]
  • —Corresponding Author Name: [ ]

The copyright form can be accessed here.

Each accepted paper should have registration fee paid by at least one of the authors by September 25, 2024 at 23:59 UTC-12 in order to include the paper in the LNAI proceedings. 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.

2. For non-authors:

The early registration fee (Early-bird or before September 30, 2024) and the late registration fee (between October 1, 2024 and Novermber 11, 2024) is given in the table below.

In order to qualify to pay the "Participant" registration fee, the person planning to attend the conference must be a full-time student or a participant in an accredited institute. You need to bring the student status form (original copy) and present it while collecting the material at the registration desk in Pattaya, Thailand.

3. What the registration fee will cover:

The registration fee will allow you to attend the conference and any other services that we are planning to provide during the conference. There will be morning and afternoon breaks and lunches on November 13-15. The reception dinner on the evening of November 14th (TBC) will also be covered. Registered authors will have access to the online version of the LNAI proceedings before and during the conference.

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.

All payment deadlines are in the UTC-12 timezone.

Type of Authors Type of Registration Registration Fees
(Pay methods are supported: Credit card and QR payment(only Thailand))
Early-bird (USD)
Before September 25, 2024 		On-Spot (USD)
Between October 1, 2024 and November 11, 2024
Presentation Online and Virtual 250
Register & Pay now 		-
On-site 500
Register & Pay now 		650
Participant On-site 200
Register & Pay now
(For non-authors)
Before September 30, 2024 		250

MIWAI Committee

Steering Committee

  • —Arun Agarwal, University of Hyderabad, India
  • —Richard Booth, Cardiff University, UK
  • —Rajkumar Buyya, University of Melbourne, Australia
  • —Patrick Doherty, Linköping University, Sweden
  • —Rina Dechter, University of California, Irive, USA
  • —Leon Van Der Torre, University of Luxembourg, Luxembourg
  • —Peter Haddawy, Mahidol University, Thailand
  • —Jérôme Lang, Université Paris-Dauphine, France
  • —Atul Negi, University of Hyderabad, India
  • —Somnuk Phon-Amnuaisuk, Universiti Teknologi Brunei, Brunei
  • —David Windridge, Middlesex University, UK

Conveners

  • —Raghava Morusupalli, CVR College of Engineering, India
  • —Chattrakul Sombattheera, Mahasarakham University, Thailand

General Co-chairs

  • —Chattrakul Sombattheera, Mahasarakam University, Thailand
  • —Paul Weng, Duke Kunshan University, China

Program Co-Chairs

  • —Jun Pang, University of Luxembourg, Luxembourg
  • —Lee Yun Li, Sunway University, Malaysia
  • —Isara Anantavrasilp, King Mongkut's Institute of Technology Ladkrabang, Thailand

Program Committee

  • —A Vani Vathsala, CVR College of Engineering, India
  • —Abdelrahman Elfaki, University of Tabuk, Saudi Arabia
  • —Ahmad Anwar Zainuddin, International Islamic University Malaysia, Malaysia
  • —Ahmad Sahban Rafsanjani, Sunway University, Malaysia
  • —Akhter M. Rather, Great Lakes Institute of Management, Gurgaon, India
  • —Alok Singh, University of Hyderabad, India
  • —Amit Agarwal, Oracle, Washington, USA
  • —Aneesh Krishna, Curtin University, Australia
  • —Antonis Bikakis, University College London, UK
  • —Athirah Mohd Ramly, University of East London, India
  • —Azizi Ab Aziz, Universiti Utara Malaysia, Malaysia
  • —Banoth Samya, CVR College of Engineering, Hyderabad, India
  • —Boon Giin Lee, University of Nottingham Ningbo, China
  • —Boon-Yaik Ooi, Universiti Tunku Abdul Rahman, Malaysia
  • —Broderick Crawford, Pontificia Universidad Catolica de Valparaiso, Chile
  • —Chalee Vorakulpipat, NECTEC, Thailand
  • —Chau Vo, Ho Chi Minh City University of Technology, Vietnam National University, Viet Nam
  • —Chidchanok Lursinsap, Chulalongkorn University, Thailand.
  • —Chilamakuru Raghavendra, CVR College of Engineering, Hyderabad, India
  • —Chun Che Fung, Murdoch University, Australia
  • —Chunlai Zhou, Renmin University of China, China
  • —Costin Badica, University of Craiova, Romania
  • —Cyrille Berger, Linköpings University, Sweden
  • —D.Teja Santosh, CVR College of Engineering, Hyderabad, India
  • —Dharamsotu Bheekya, Geethanjali College of Engineering and Technology, India
  • —Doan Dang, Eastern International University, Viet Nam
  • —Duc-Dung Nguyen, Institute of Information Technology, Vietnam Academy of Science and Technology, Viet Nam
  • —Duc-Thinh Pham, ATMRI - NTU, Singapore
  • —Farrukh Hassan, Sunway University, Malaysia
  • —Frieder Stolzenburg, Harz University of Applied Sciences, Germany
  • —Ganesh Kumar, Sunway University, Malaysia
  • —George Obaido, University of California Berkeley, USA
  • —Gerand Boy Elinzano, De La Salle University, Philippines
  • —Guido Governatori, Central Queensland University, Australia
  • —Han Fang, Shanghai Jiao Tong University, China
  • —Hock Guan Goh, Universiti Tunku Abdul Rahman (UTAR), Malaysia
  • —Hrushikesha Mohanty, University of Hyderabad, India
  • —Hui-Ngo Goh, Multimedia University, Malaysia
  • —Hürevren Kılıç, Atilim University, Turkey
  • —Husin Nor Azura, UPM, Malaysia
  • —Iman Dehzangi, Rutgers University, USA
  • —Isara Anantavrasilp, KMILT, Thailand
  • —Jaree Thongkam, Mahasarakham University, Thailand
  • —Jérôme Lang, CNRS, LAMSADE, Université Paris-Dauphine, France
  • —Jérôme Mengin, IRIT - Université de Toulouse, France
  • —Jia Jan Ong, Tunku Abdul Rahman University of Management and Technology, Malaysia
  • —Jianshu Hu, Shanghai Jiao Tong University, India
  • —Jingtao Yao, University of Regina, Canada
  • —Jinguang Gu, Wuhan University of Science and Technology, China
  • —John Blake, University of Aizu, Japan
  • —Joi San Tan, Universiti Tunku Abdul Rahman, Malaysia
  • —Jose H. Saito, Universidade Federal de São Carlos, Brazil
  • —Jun Shen, University of Wollongong, Australia
  • —Jysoo Lee, King Abdullah University of Science and Technology, Saudi Arabia
  • —K Venkatesh Sharma, CVR College of Engineering, India
  • —Kauthar Mohd Daud, Universiti Kebangsaan Malaysia, Malaysia
  • —Kejun Dong, China Internet Network Information Center （CNNIC), China
  • —Kevin Kam Fung Yuen, Hong Kong Polytechnic University, Hong Kong
  • —Khanista Namee, King Mongkut's University of Technology North Bangkok
  • —Kian Ming Lim, University of Nottingham Ningbo, China
  • —Kittichai Lavangnananda, King Mongkut’s University of Technology Thonburi (KMUTT), Thailand
  • —Kok Lim Yau, Universiti Tunku Abdul Rahman, Canada
  • —Krishna Reddy Polepalli, IIIT-Hyderabad, India
  • —Laszlo T. Koczy, Budapest University of Technology and Economics, Hungary
  • —Le Hong Trang, Ho Chi Minh City University of Technology (HCMUT), Viet Nam
  • —Lk Foo, Multimedia University Malaysia, Malaysia
  • —Luigi O. Freire, UTC, Ecuador
  • —M Phani Krishna Kishore, Gayatri Vidya Parishad College of Engineering(A), India
  • —Manasawee Kaenampornpan, Khon Kaen University, Thailand
  • —Manegaouindé Roland Tougma, Université Joseph KI ZERBO, Burkina Faso
  • —Mariusz Wzorek, Linkoping University, Sweden
  • —Matthew Y. W. Teow, PSB Academy, Singapore
  • —Md.Nazmus Sakib, World University of Bangladesh, Bangladesh
  • —Monchai Kooakachai, Chulalongkorn University, Thailand
  • —Natthapong Jungteerapanich, KMITL, Thailand
  • —Nenavath Srinivas Naik, IIITDM Kurnool, India
  • —Nhat-Quang Doan, University of Science and Technology of Hanoi & Academy of Science and Technology, Viet Nam
  • —Nicolas Schwind, National Institute of Advanced Industrial Science and Technology (AIST), Japan
  • —Olarik Surinta, Mahasarakham University, Thailand
  • —Oliver Obst, Western Sydney University, Australia
  • —Pang Zhen Tong, Multimedia University, Malaysia
  • —Pappula Madhavi, CVR College of Engineering, India
  • —Paul Weng, Duke Kunshan University, China
  • —Peter Scully, Mahidol University, Thailand
  • —Phuong Le-Hong, Vietnam National University, Hanoi, Viet Nam
  • —Piotr Rudol, Linkoping University, Sweden
  • —Prakash Hiremath, KLE Technological University, India
  • —Prapaporn Rattanatamrong, Thammasat University, Thailand
  • —Priyaranjan Pattnayak, Oracle Cloud, USA
  • —Raj Bhatnagar, University of Cincinnati, USA
  • —Raja Kumar, Taylor's University, Malaysia
  • —Rajeev Wankar, University of Hyderabad, Thailand
  • —Rapeeporn Chamchong, Mahasarakham University, Thailand
  • —Ratnam Dodda, CVR College of Engineering, India
  • —Ryan Ebardo, De La Salle University, Philippines
  • —Sakorn Mekruksavanich, University of Phayao, Thailand
  • —Sandhya Banda, Maturi Venkata Subba Rao (MVSR) Engineering College, India
  • —Sheila Miller Edwards, Arizona State University, USA
  • —Shing Chiang Tan, Multimedia University, Malaysia
  • —Sj Tan, Universiti Teknologi Brunei, Brunei
  • —Somnuk Phon-Amnuaisuk, Universiti Teknologi Brunei, Brunei
  • —Sook Ling Chua, Multimedia University, Malysia
  • —Srinivasa Raju Rudraraju, Vishnu Institute of Technology, India
  • —Suguru Ueda, Saga University, Japan
  • —Susmita Ghosh, Jadavpur University, India
  • —Suvil Chomchaiya, KMUTT, Thailand
  • —Swami Das More, CVR College of Engineering, Hyderabad, India
  • —Swee Peng Ang, Universiti Teknologi Brunei, Brunei
  • —Taneeya Satyapanich, Kasetsart University, Thailand
  • —Thai Le, Department of Computer Science, Ho Chi Minh City University of Science, Viet Nam
  • —Thanh Van Le, Ho Chi Minh City University of Technology - VNU HCMC, Viet Nam
  • —Theerananda Thanaawathphuvaphan, Chiang Mai University, Thailand
  • —Thibaut Lust, Sorbonne Université, France
  • —Thi-Oanh Nguyen, Hanoi University of Science and Technology, Viet Nam
  • —Tho Quan, Hochiminh City University of Technology, Viet Nam
  • —Tilottama Goswami, Vasavi College of Engineering, India
  • —Tiong Hoo Lim, Universiti Teknologi Brunei, Brunei
  • —Ukrit Watchareeruetai, Sertis Co., Ltd., Thailand
  • —Veera Boonjing, KMILT, Thailand
  • —Ven Jyn Kok, Universiti Kebangsaan Malaysia, Malysia
  • —Viet Hung Nguyen, LIMOS CNRS, Clermont Auvergne University, France
  • —Vikram Neerugatti, Jain (Deemed - to - be) University, Banglore, Karnataka, India
  • —Vinh Nguyen Dinh, FPT University, Can Tho, Vietnam
  • —Virach Sornlertlamvanich, Musashino University, Japan
  • —Wei Chuen Yau, Xiamen University Malaysia, Malaysia
  • —Weicheng Huang, National Center for High-performance Computing, China
  • —Weng Kin Lai, Tunku Abdul Rahman University of Management & Technology (TAR UMT), Malaysia
  • —Xuening Feng, UM-SJTU Joint Institute, China
  • —Yann Dujardin, Orange, USA
  • —Yoke Leng Yong, Help University, Malaysia
  • —Yu Li, University of Tsukuba, Japan
  • —Yu-N Cheah, Universiti Sains Malaysia, Malaysia
  • —Yunli Lee, Sunway University, Malaysia
  • —Yunpeng Jiang, Shanghai Jiao Tong University, China
  • —Zhaohui Jiang, Shanghai Jiao Tong University, China
  • —Zhihao Song, Shanghai Jiao Tong University, China

Publicity Co-chairs

  • —Panich Sudkhot, Zyntelligent Co., Ltd., Thailand
  • —Daphne Teck Ching Lai, Universiti Brunei Darussalam, Brunei

Local Organizing Co-chairs

  • —Rapeeporn Chamchong, Mahasarakham University, Thailand
  • —Benjawan Intara, Mahasarakham University, Thailand

Web Administration

  • —Panich Sudkhot, Zyntelligent Co., Ltd., Thailand

IMPORTANT DATES

All deadlines are in UTC-12 timezone.

Event Date
Submission Deadline July 15 August 15, 2024
Notification Deadline August 1 September 14, 2024
Camera Ready Deadline August 15 September 21, 2024
Registration Deadline August 22 September 21 September 25, 2024
Conference Dates November 11-15, 2024

Invited Speakers

Prof. Patrick Doherty, Ph.D.

University of Linkoping, Sweden

Asst. Prof. Supachai Vongbunyong, Ph.D.

King Mongkut's University of Technology Thonburi, Thailand

Title: Collaborative Robotics for Emergency Rescue: A Distributed Task, Information, and Interaction Perspective
Abstract:

In the context of collaborative robotics, both distributed planning and task allocation, and acquisition of situation awareness are essential for supporting goal achievement, collective intelligence, and decision support in teams of robots and human agents. This is particularly important in applications pertaining to emergency rescue and crisis management. Given a high-level mission specification provided by a member of a rescue team, human or robotic, one then requires a mechanism for generating and executing complex, multi-agent distributed plans and tasks. The proper task representation is essential for both the generation and execution of complex multi-agent distributed tasks. Task Specification Trees have been proposed for this purpose and a Delegation Framework is used for distributed task allocation. Additionally, during operational missions, data and knowledge is gathered incrementally and in different ways by teams of heterogeneous robots and humans. We describe this as the formation and management of Hastily Formed Knowledge Networks (HFKN). The resulting distributed knowledge structures can then be queried by individual agents for decision support. These structures are represented as RDF graphs, and graph synchronization techniques are introduced to retain the consistency of the collective knowledge of a team. Flexible human interaction with teams of robots is also an essential component in emergency rescue. Integrating LLMs into the interaction process provides a new way to think about interaction.

In this talk, I will present both the HFKN and Delegation Frameworks, their integration, and in addition describe various field robotic experiments with UAVs which use the overall system. I will also show some initial work that uses LLMs in the interaction process. If time allows, I will also discuss a Swedish national project where this framework has been used by both industrial and academic partners in large public safety scenarios using UAVs, USVs, and AUVs in maritime and sea rescue scenarios.

Short Bio:

Patrick Doherty is a Professor of Computer Science at the Department of Computer and Information Sciences (IDA), Linköping University, Sweden. He leads the Artificial Intelligence Lab at IDA. He is an ECCAI/EurAI fellow, a AAIA fellow, and a member of ACM and AAAI. He previously served as Editor-in-Chief of the Artificial Intelligence Journal. He has over 30 years of experience in areas such as knowledge representation and reasoning, automated planning, intelligent autonomous systems, and multi-agent systems. A major area of application is with Unmanned Aircraft Systems (UAS). He has over 200 refereed scientific publications in his areas of expertise and has given numerous keynote and invited talks at leading international conferences.

Title: Artificial Intelligence in Sustainable Manufacturing and Industry 5.0
Abstract:

Nowadays the world has encountered many key challenges such as aging populations, resource efficiency, and mass customization. Addressing these key challenges, this presentation explores AI's potential to transform manufacturing through increased sustainability, efficiency, and adaptability, all within the framework of a human-centered Industry 5.0 paradigm. In regard to AI technologies, they are implemented in various domains in manufacturing. Generative design enables AI-driven product innovation, while advanced machine vision improves inspection and material handling processes. AI applications in intralogistics and energy management contribute to streamlined operations and cost reductions, enhancing overall efficiency. In addition, human-robot collaboration is highlighted as a means to improve worker satisfaction by assigning repetitive or hazardous tasks to machines. For Generative AI, it is recognized as a high-value tool in manufacturing, capable of automating complex processes like test case generation, document creation, and production monitoring. Benefits of AI in this sector include continuous production, enhanced quality control, real-time decision-making, and reduced operational costs, all of which align with sustainable manufacturing goals.

Short Bio:

Asst. Prof. Supachai Vongbunyong, PhD, is a Director of Institute of Field Robotics (FIBO), King Mongkut's University of Technology Thonburi, Bangkok, Thailand. He is a founder a Hospital Automation Research Center (HAC@FIBO), co-founder of Famme Works Co., Ltd, and Innovation and Advanced Manufacturing Research Group. He received PhD in Manufacturing Engineering and Management from The University of New South Wales (UNSW), Australia, Master and Bachelor Degrees in Mechanical Engineering from Chulalongkorn University, Thailand. His research expertise is robotics and automation in industrial, medical, and healthcare applications. Some of this highlighted works are CARVER, autonomous mobile robots for hospital logistics. He published more than 50 academic articles in international journals and conference proceedings. In addition, he was awarded, "TMA Young Technologist Award 2021” (Runner-up), "KMUTT Rising Star Researcher Awards 2021", and "Australia Alumni Innovation Award 2024".

Panel Discussion

Manish Gupta, Ph.D.

Principal Applied Scientist, Microsoft

Prof. D S Guru, Ph.D.

University of Mysore, India

Prof. Lance Fung, Ph.D.

Murdoch University, Australia

About:

I am a Principal Applied Scientist at Microsoft India R&D Private Limited at Hyderabad, India. I am also an Adjunct Faculty at International Institute of Information Technology, Hyderabad, and a visiting faculty at ISB, Hyderabad. I received my Masters in Computer Science from IIT Bombay in 2007 and my Ph.D. from the University of Illinois at Urbana-Champaign in 2013. Before this, I worked for Yahoo! Bangalore for two years. My research interests are in the areas of deep learning, natural language processing, web mining and data mining. I have published more than 100 research papers in reputed referred journals and conferences. I have also co-authored two books: one on Outlier Detection for Temporal Data and another one on Information Retrieval with Verbose Queries.

Research areas:

Education and Career:

Publications:
Books:

Book Chapters:

Patents:

  • Manish Gupta, Puneet Agrawal, Biju Venugopal, Sushil Chordia, Anand Raman, Shveta Verma. Suggestion nudges for long web autosuggest queries. 2023.
  • Akriti, Kumar Subham, Puneet Agrawal, Rishab LNU, Srimukha Paturi, Manish Gupta. Ghosting for Multi-Modal Dialogs. 2023.
  • Tezan Sahu, Kishor Chamua, Anuska Nandy, Deepanjali Singh, Manish Gupta. Autosuggest as a Gateway to Chat in Web Search. 2023.
  • Manish Gupta, Puneet Agarwal. Clustering Suggestions for Query Auto-Completion. 2022.
  • Manish Gupta, Prashant Gupta, Vinay Vemula, Raghuram Lanka. Forecasting cataract surgery effectiveness. US 2018/296320.
  • Manish Gupta, Joy Mustafi, Prashant Gupta. Personalized Refractive Surgery Recommendations for Eye Patients. US 10426551 B2.
  • Manish Gupta, Joy Mustafi, Prashant Gupta. Forecasting Eye Condition Progression for Eye Patients. US 10667680 B2.
  • Manish Gupta, Prashant Gupta, Mithun Das Gupta. Automatic Generation of Fundus Drawings. US 10163241 B2.
  • Manish Gupta, Ambuj Ojha, Manoj Agarwal. A System and Method for enabling Related Searches for Live Events in Data Streams. US 10318594 B2.
  • Manish Satyapal Gupta, Victor Das, Avishek Dan, Pallavi Matani, Rupesh Mehta. Extracting Enterprise Project Information. WO 2016/206044.
  • Manish Satyapal Gupta, Looja Tuladhar. Click Through Rate Prediction System and Method. US 8738436 B2.
  • Manish Satyapal Gupta, Shyam Ramamurthy, Shyam Krishnamurthy, Himanshu Verma, Srinivas Devarakonda. System and Method for Social Networking. US 8856229 B2.
  • Manish Satyapal Gupta, Looja Tuladhar, Gaurav Gehlot, Bhupesh Goel, Anand Suvernkar. Search Query Concept-Based Recommendations. US 2010/0169316.
  • Manish Satyapal Gupta, Jaygiri Goswami, Naveen Gupta. System and Method for User-targeted Listings. US 2011/0010224.
  • Naveen Gupta, Jaygiri Goswami, Manish Satyapal Gupta. Creating Rich Profiles of Users from Web Browsing Information. US 2016/0063444.
  • Naveen Gupta, Jaygiri Goswami, Manish Satyapal Gupta. Intelligent Discovery of Qualifications of a Web Browsing User. US 2016/0063443.
  • Naveen Gupta, Jaygiri Goswami, Manish Satyapal Gupta. Assembling Information to Generate Composite Web Page Content. US 2016/0140505.

Short Bio:

D.S. Guru received the BSc, MSc, and PhD degrees in computer science and technology from the University of Mysore, India, in 1991, 1993, and 2000, respectively. He is currently a reader in the Department of Studies in Computer Science, University of Mysore, India. He was a fellow of BOYSCAT. He was a visiting research scientist at Michigan State University. He is supervising a couple of major projects sponsored by the UGC, the DST, and the Government of India. He has authored 25 journals and 124 peer-reviewed conference papers at international and national levels. His area of research interest covers image retrieval, object recognition, shape analysis sign language recognition, biometrics, and symbolic data analysis. He is a life member of Indian professional bodies such as the CSI, the ISTE, and the IUPRAI. He is a founder trustee of the Maharaja Education Trust, Mysore, which is establishing academic institutions in and around Mysore.

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Short Bio:

Emeritus Professor Chun Che (Lance) Fung, IEEE R10 Director (2023-2024), was trained and worked as a Marine Radio and Electronic Officer in Hong Kong during the 70’s. He graduated with a Bachelor of Science Degree with First Class Honours and a Master of Engineering Degree from the University of Wales in the early 80’s. His Ph.D. Degree was awarded in 1993 by the University of Western Australia, with a thesis on Artificial Intelligence and Power System Engineering, under the supervision of late Professor Kit Po Wong. Apart from serving in the merchant navy, Lance has taught at Singapore Polytechnic (1982-1988), Curtin University (1989-2003), and Murdoch University from 2003 where he was appointed Emeritus Professor in 2015. His roles included Associate Dean of Research, Postgraduate Research Director, and Director of the Centre for Enterprise Collaborative in Innovative Systems. He has supervised to completion over 36 doctoral students and published over 398 academic articles in the Murdoch University Research repository. He has over 6100 citations and H-Index of 32 being recorded in Google Scholar. His research interest in the applications of computational intelligence to practical problems. Lance has been a dedicated IEEE member and volunteer for over 30 years in various positions in Chapters, WA Section, Australia Council, Region 10 Executive Committee, the IEEE SMC Society Board of Governors, and IEEE Board of Directors, plus many other IEEE committees. He can be reached at lanceccfung@ieee.org

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Contact

Chattrakul Sombattheera
Faculty of Informatics, Mahasarakham University, Khamreang, Kantarawichai, Mahasarakham 44150 Thailand
|> Email: chattrakul.s@msu.ac.th