The 2nd Joint Myanmar-Thai NLP/AI R&D Workshop

We are pleased to announce the 2^nd joint Workshop on NLP/AI R&D which will take place in Bangkok, Thailand, from Nov 18 to 20, 2020. It will be colocated with iSAI-NLP 2020. The workshop will bring together researchers, professors and students in NLP and AI. The aim of the proposed workshop is to bring together the community of ASEAN researchers interested in these areas.

Because of the COVID19 pandemic, the situation in the coming months is very uncertain. And thus, we are also making parallel contingency plans for a fully virtual conference if necessary.

We invite submissions on topics that include but are not limited to the following:

NLP R&D:

POS-tagging
Tokenization
Named entity recognition (NER)
Morphological analysis
Chunking
Disambiguation
Machine Translation (MT)
Automatic Speech Recognition (ASR)
Text to Speech (TTS)

AI R&D:

Statistical Learning
Machine Learning
Deep Learning
AI in image and speech processing
Bayesian Machine Learning
Graph Neural Networks
Meta Learning
Reinforcement Learning
Adversarial Machine Learning

Paper Submission Instructions

Deadline:
Submission Deadline : October 26, 2020
Notification of Acceptance : November 2, 2020
Camera ready : November 9, 2020

Paper length:
6-10 pages including figures, tables references.

Submission Format:
Papers must be prepared under JIIST format as shown in the link below: https://jiist.aiat.or.th/page/authorGuide

Submission System:
The papers must be submitted via the email address: yktnlp@gmail.com

Review Process

For papers that are accepted for review, program committee (PC) members will be matched to submissions based on research expertise and interest. Authors will have a limited opportunity to respond to initial reviews. This author feedback will then be taken into account in the final recommendations and reviews may be changed accordingly.

Journal Opportunities

A select set of rated papers may be nominated for fast track reviewing at the Journal of Intelligent Informatics and Smart Technology (JIIST).

Workshop Date

November 20, 2020

Conference Registration and Attendance

At least one author is required to register for the conference to present the paper, and we encourage all authors to attend if possible.

For the workshop presenters, please select “Full Registration for Participant” (2400 baht). That will cover the whole iSAI-NLP conference.

Program Co chairs

Ye Kyaw Thu (NECTEC, Thailand)
Thepchai Supnithi (NECTEC, Thailand)
Nattapol Kritsuthikul (NECTEC, Thailand)

AIoT Track 1: Artificial Intelligence (AI) Fundamentals

Adaptive Control
Agent and Multi-Agent Systems
Artificial Neural Networks Spiking
Artificial Neural Networks
Bayesian Models
Biologically Inspired Neural Networks
Architectures Interacting with The Brain
Convolutional Neural Networks
Deep Learning
Big Data, Distributed AI Systems and Architectures
Evaluation of AI Systems
Evolving Systems – Optimization, Affective Computing
Grid-Based Computing

Knowledge Acquisition and Representation
Knowledge Engineering, Machine Learning
Multi-layer Perceptron, Multilayer Perceptron and Kernel Networks
Learning and Adaptive Systems
Mathematical Foundations of AI and Intelligent Computational methods
Media Machine Learning in Engineering
Natural Language Processing
Object and Face Recognition, Ontologies, Reasoning Methods
Particle Swarm Optimisation
Planning and Resource Management
Planning and Scheduling

AIoT Track 2: AI Applications

Autonomous and Ubiquitous Computing
Biomedical systems
Bioinformatics Coding
Collective Computational Intelligence
Color/Image Analysis
Computer Vision
Crisis and Risk Management
Data Fusion
Data Mining and Information Retrieval
Decision Support Systems
Deep Learning
Real Time Systems
Social Networks
eBusiness
eCommerce
eHealth
eLearning
Engineering and Industry
Expert Systems
Finance and AI
Fuzzy Logic and Systems
Genetic Algorithms and Programming

Human-Machine Interaction
Intelligent Real Time Monitoring and Control
Knowledge Management
Cybersecurity, ForensicsBioMedical
Medical Informatics and Biomedical
Movement and Motion
Multimedia Computing
Multimedia Ontologies
Multimedia
Political Decision Making
Project Management Recommendation Systems
Recurrent Neural Networks and Reservoir Computing
Robotics and Virtual Reality
Signal and Image Processing
Knowledge Extraction
Smart Graphics
Smart Grids
Social Media and AI
Speech and Natural Language Processing
Speech Synthesis
Time Series and Forecasting
Mining and Exploratory Analysis

AIoT Track 4: Embedded Systems

Multiprocessors
reconfigurable platforms
memory management support
communication
protocols
network-on-chip
real-time systems
embedded Microcontrollers
Real-time systems: real-time related aspects such as software, distributed real-time systems, real-time kernels, real-time OS, task scheduling, multitasking design

Embedded hardware support: System-on-a-chip, DSPs, hardware specification, synthesis, modeling, simulation and analysis at all levels for low power, power-aware, testable, reliable, verifiable systems, performance modeling, validation, security issues, real-time behavior and safety critical systems
Embedded software: memory management, object-oriented aspects, virtual machines, scheduling, concurrent software for SoCs, distributed/resource aware OS
OS and middleware support: Hardware/software
co-design: Methodologies, test and debug strategies, real-time systems, specification and modeling, design representation, synthesis, partitioning, estimation

AIoT Track 6: Internet of Things

All ranges of applications on embedded system
including speech processing, image processing
network computing
distributed computing
parallel computing and power conversion
Application-specific processors and devices: Network processors, real-time processor, media and signal processors, application specific hardware accelerators, reconfigurable processors, low power embedded processors, bio/fluidic processors, Bluetooth, hand-held devices

Industrial practices and benchmark suites: System design, processor design, software, tools, case studies, trends, emerging technologies, experience maintaining benchmark suites, representation, interchange format, tools, copyrights, maintenance, metrics, Curriculum issues, teaching tools and methods, New challenges for next generation embedded computing systems, arising from new technologies (e.g., nanotechnology), new applications (e.g., pervasive or ubiquitous computing, embedded internet tools) and new principle (e.g., embedded Engineering).

iSAI-NLP Track 1: Natural Language Processing

Natural Language Processing (NLP) Track Session, topics for the session include, but are not limited to:

Cognitive aspects of natural language processing
Corpus and Language Resources
Corpus-based language modeling
Dialog Systems
Information Retrieval
Language and Ontology Unifying
Language Engineering
Language Learning
Language processing in internet applications
Languages for Disability
Linguistic models of language

Linguistic Resources
Machine Translation
NLP Applications
NLP-based knowledge science
Ontology Engineering
Phonetics, phonology and morphology
Pragmatics and discourse
Semantics, syntax and lexicon
Speech Recognition and Synthesis
Tools and resources for NLP

Track Chair

Min Zhang, Soochow University, China
Masao Utiyama, NICT, Japan
Prachya Boonkwan, NECTEC, Thailand
Rachada Kongkachandra, Thammasat University, Thailand

Technical Committee

Krit Kossawat, NECTEC, Thailand
Boontawee Suntisrivaraporn, SCB, Thailand
Burasakorn Yoosooka, RMUTB, Thailand
Chaveevan Pechsiri, Dhurakij Pundit University, Thailand
Chengqing Zong, Institute of Automation, Chinese Academy of Sciences
Chi Mai Loung, Institute of Information Technology
Choochart Haruechaiyasak, NECTEC, Thailand
Chutima Beokhaimook, Rangsit University, Thailand
Chutiporn Anutariya, AIT, Thailand
Derek F. Wong, University of Macau
Ekawit Nantajeewarawat, SIIT Thammasat University, Thailand
Enya Kong Tang, Linton University College
Hitoshi Nishikawa, Tokyo Institute of Technology, Japan
Hutchatai Chanlekha, Kasetsart University, Thailand
Joel Ilao, De La Salle University
Kanzaki, Kyoko, Toyohashi University of Technology, Japan
Khin Mar Soe, University of Computer Studies, Yangon, Myanmar
Kiyota Hashimoto, Prince Songkla University, Thailand
Maomi Ueno, University of Electro-Communications, Japan
Michael Purwoadi, Badan Pengkajian dan Penerapan Teknologi, Indonesia
Monthika Boriboon, NECTEC, Thailand
Murata Masaki, Tottori University, Japan
Nichnan Kittiphattanabawon, Walailak University, Thailand
Nuttanart Facundes, KMUTT, Thailand
Pokpong Songmuong, Thammasat University, Thailand
Preslav Nakov, Qatar Computing Research Institute
Puttachart Potibal, Kasetsart University, Thailand
Qing Ma, Ryukoku University, Japan
Qun Liu, Dublin University, Ireland
Rapid Sun, National Institute of Posts, Telecoms and ICT, Cambodia
Sasiporn Usanavasin, SIIT Thammasat University, Thailand
Sebastian Stuker, Karlsruhe Institute of Technology
Shirai Kiyoaki, JAIST, Japan
Tasanawan Soonklang, Silpakorn University, Thailand
Thadpong Pongthawornkamol, KBTG, Thailand
Tokunaga Takenobu, Tokyo Institute of Technology, Japan
Vu Tat Thang, Institute of Information Technology, Vietnam
Wirote Aroonmanakun, Chulalongkorn University, Thailand
Yu-Ju LAN, National Taiwan Normal University, Taiwan

iSAI-NLP Track 2: Data Analytics and Machine Learning

Decision-making is a crucial, yet challenging mission in enterprise management. It is still made based on a reactive approach rather than on facts and proactive approaches. This is often due to unknown correlation between data and goals, conflicting goals and weak defined strategy. Enterprise success depends on fast and well-defined decisions taken by relevant policy makers and business actors in their specific area. Open business intelligent systems can be seen as a collection of decision support technologies and tools for enterprises to enable knowledge workers such as executives, managers, and analysts to make better and faster decisions. With the emergence of big data, it possible to explore new opportunities that will revolutionize business intelligence. These include data warehouse based decision support, Hadoop (development environment), sensor data, social media, machine learning and crowd sourcing. The aim of this workshop is provide a forum to review open business intelligent systems as an open innovation strategy and address their importance in revolutionizing knowledge processing in economics and business sustainability. Topics for the workshop include, but are not limited to:

Artificial Intelligence tools & Applications
Big Data Mining and Analytics
Machine learning
Neural Networks
Probabilistic Reasoning
Evolutionary Computing
Pattern recognition
Heuristic Planning Strategies and Tools
Data Mining and Machine Learning Tools
Reactive Distributed AI

Hybrid Intelligent Systems
Intelligent System Architectures
Network Intelligence
Multimedia & Cognitive Informatics
Pervasive Computing and Ambient Intelligence
Semantic Web Techniques and Technologies
Web Intelligence Applications & Search
Deep Learning
Business Intelligent
Information Technology Management

Track Chair

Olarik Surinta, Mahasarakham University, Thailand
Akhilesh Kumar Sharma, Manipal University Jaipur, India
Worawut Yimyam, Phetchaburi Rajabhat University, Thailand

Technical Committee

Pokpong Songmuang, Thammasat University, Thailand
Rachada Kongkachandra, Thammasat University, Thailand
Wiwit Suksangaram, Phetchaburi Rajabhat University, Thailand
Narumol Chumuang, Muban Chombueng Rajabhat University, Thailand
Worawut Yimyam, Phetchaburi Rajabhat University, Thailand
Patiyuth Pramkeaw, King Mongkut’s University of Technology Thonburi, Thailand
Thadthong Bhrammanee,Phetchaburi Rajabhat University, Thailand
Sattarpoom Thaiparnit, Rajamangala University of Technology Suvarnabhumi, Thailand
Phayung Meesad, King Mongkut’s University of Technology North Bangkok, Thailand
Montean Rattanasiriwongwut, King Mongkut’s University of Technology North Bangkok, Thailand
Sakchai Tangwannawit, King Mongkut’s University of Technology North Bangkok, Thailand
Mahasak Ketcham, King Mongkut’s University of Technology North Bangkok, Thailand
Nattavee Utakrit, King Mongkut’s University of Technology North Bangkok, Thailand
Tanapon Jensuttiwetchakul, King Mongkut’s University of Technology North Bangkok, Thailand
Watchareewan Jitsakul, King Mongkut’s University of Technology North Bangkok, Thailand
Panana Tangwannawit, Phetchabun Rajabhat University, Thailand
Pol.Lt.Col. Peerapol Selarat, Commissioner General of the Royal Thai Police, Thailand
Tanapon Jensuttiwetchakul, King Mongkut’s University of Technology North Bangkok, Thailand
Thittaporn Ganokratanaa, Chulalongkorn University, Thailand
Chenyu Shi, University of Groningen, Netherlands
Jiapan Guo, University of Groningen, Netherlands
Nicola Strisciuglio, University of Groningen, Netherlands
Estefania Talavera, University of Groningen, Netherlands
Komal Batool, National University of Science and Technology, Pakistan
Laura_Fernandez-Robles,University of Leon, Spain
Ahmad Alsahaf, University of Groningen, Netherlands
Edison Muzenda, University of Science and Technology, South Africa
Estefania Talavera, University of Groningen, Netherlands
Hiroya Takamura, Tokyo Institute of Technology, Japan
Isao Echizen, National Institute of Informatics, Japan
Kei Eguchi, Fukuoka Institute of Technology, Japan
Kirk Scott, University of Alaska Anchorage, United States of America
Michael Pecht, University of Maryland, United States of America
Michel Plaisent, University of Quebec in Montreal, Canada
Ngoc Hong Tran, Vietnamese German University, Viet Nam
Nicola Strisciuglio, University of Groningen, Netherlands
Sven Wohlgemuth, Center for Advanced Security Research Darmstadt (CASED), Germany

iSAI-NLP Track 3: Signal, Image & Speech Processing

The signal, image and speech processing (SIS) will focus on basic concepts, methodologies, and successful adoption of signal, image and speech processing and artificial intelligent technology. The conference will use technical papers, challenge papers, invited talks, and panel discussions to explore issues, methods, and lessons learned in the development and deployment of signal, image and speech processing, and AI applications; and to promote an interchange of ideas between basic and applied signal, image and speech processing.

The adoption of signal, image and speech processing and artificial intelligent technology, and in particular of its most challenging components like information and intelligent which can constitute the basic building blocks for a variety of applications within the signal, image and speech processing world. The combination of the emerging information technologies such as information retrieval, computer vision, expert systems, chat bot, social network analysis, and big Data Analyticss lets us transform everyday information into smart knowledge applications.

This track will bring all signal, image and speech processing issues from a diverse group of people working on real world systems for commercial, industrial and academic applications. People from different background will share idea and experience by presenting the study and results leading to intelligent innovation, knowledge and applications.

Authors are solicited to contribute to this session by submitting papers that illustrate research results, projects, surveying works, and industrial experiences that describe significant advances in signal, image and speech processing, intelligent computing and business applications of information systems. Topics for the session include, but are not limited to:

AI in image and speech processing
Computer vision and virtual reality
Content-based image retrieval
Content-based indexing, search and retrieval
Document recognition
Evolution and fuzzy computation
Hardware implementation for signal processing
Image and video coding and compression
Image filtering, restoration, and enhancement
Image segmentation

Intelligent system and application
Multiple filtering and filter banks
Object and face detection
Pattern analysis and recognition
Super-resolution imaging
Time-frequency signal analysis
Video analysis and event recognition
Video compression and streaming
Visualization
Web intelligence application and search

Track Chair

Narit Hnoohom, Mahidol University, Thailand
Anuchit Jitpattanakul, King Mongkut ‘s University of Technology North Bangkok, Thailand
Ngoc Hong Tran, University College Dublin, Ireland
Sakorn Mekruksavanich, University of Phayao, Thailand
Thach-Thao Nguyen Duong, University of Burgundy, France

Technical Committee

Anantaporn Hanskunatai, King Mongkut’s Institute of Technology Ladkrabang, Thailand
Atsuo Yoshikata, JAIST, Japan
Catalin Tirnauca, University of cantabria, Spain
Colin De La Higuera University of Nantes, France
Cristina Tirnauca, University of cantabria, Spain
Jiradej Ponsawad, Khon Kaen University, Thailand
Kreangsak Tamee, Naresuan University, Thailand
Komate Amphawan, Burapha University, Thailand
Konlakorn Wongpatikaseree, Mahidol University, Thailand
Le-Minh Nguyen, JAIST, Japan
Philippe Lenca, University of Nantes, France
Saichon Jaiyen, King Mongkut’s Institute of Technology Ladkrabang, Thailand
Sakkayaphop Pravesjit, University of Phayao, Thailand
Sumeth Yuenyong, Mahidol University, Thailand
The-Bao Pham, University of Science, VNU-HCM, Vietnam
Trung-Hieu Huynh, Vietnamese-German University, Vietnam

iSAI-NLP Track 4: Robotics, IoT and Embedded System

High performance embedded computing has recently become more and more present in devices used in everyday life. A wide variety of applications require building up powerful yet cheap embedded devices. In this context, embedded software has turned out to be more and more complex, posing new challenging issues. Design of embedded systems must take into account a wide variety of constraints: performance, code size, power consumption, presence of real-time tasks, robustness, maintainability, security, and possibly scalability. Novel robotics applications is one of a good example in high performance embedded system that can driven by research, industry and society call for the development of systems of ever increasing complexity: systems with sliding autonomy. Software development for autonomous robots and to boost a smooth shifting of results from simulated to real-world applications is needed.

In recent years, Internet has become increasingly pervasive. Internet of Things (IoT) enables large numbers of previously unconnected devices to communicate and exchange data and deal with services that span areas from healthcare to transportation and much more, with the potential for significant benefits to people and quality of life. The IoT would also enable a range of new capabilities and services far beyond today’s offerings, which will radically change the life styles of future human generation. Areas of interest include, but not limited to:

Embedded Software and Compilers
Health and medical wireless applications
OS and middleware for mobile computing
Parallel architectures and computational models
Control algorithms and control systems
Manufacturing robotics
Computational methodologies in robotics

Human-Robot Interaction
Robotic cognition and emotion
Robotic perception and decision
Sensor integration, fusion, and perception
IoT Application and Services
IoT Mobility, localization, tracking & security

Track Chair

Mahasak Ketcham, King Mongkut’s University of Technology North Bangkok, Thailand
Michael Pecht, University of Maryland, United States of America
Thaweesak Yingthawornsuk, King Mongkut’s University of Technology Thonburi, Thailand

Technical Committee

Vijay Kumar Banga, Amritsar College of Engineering & Technology, India.
Ahmad Alsahaf, University of Groningen, Netherlands.
Estefania Talavera, University of Groningen, Netherlands.
Gurjeet Singh, Amritsar College of Engineering & Technology, India.
Hiroya Takamura, Tokyo Institute of Technology, Japan.
Isao Echizen, National Institute of Informatics, Japan.
Kazuaki Maeda, Chubu University, Japan.
Kei Eguchi, Fukuoka Institute of Technology, Japan.
Michel Plaisent, University of Quebec in Montreal, Canada.
Montean Rattanasiriwongwut, King Mongkut’s University of Technology North Bangkok, Thailand.
Nattavee Utakrit, King Mongkut’s University of Technology North Bangkok, Thailand.
Nicola Strisciuglio, University of Groningen, Netherlands.
Patiyuth Pramkeaw, King Mongkut’s University of Technology Thonburi, Thailand.
Rakesh Jaitly, Amritsar College of Engineering & Technology, India.
Sakchai Tangwannawit, King Mongkut’s University of Technology North Bangkok, Thailand.
Tanapon Jensuttiwetchakul, King Mongkut’s University of Technology North Bangkok, Thailand.
Thittaporn Ganokratanaa, Chulalongkorn University, Thailand.

Best Paper Awards & Best Presentation Awards

News Update

Best Paper Awards

iSAI-WS

W1-04:
Grapheme-to-IPA Phoneme Conversion for Burmese (myG2P Version 2.0)
Honey Htun, Ni Htwe Aung, Shwe Sin Moe, Wint Theingi, Nyein Nyein Oo, Thepchai Supnithi, and Ye Kyaw Thu

Track 1: Natural Language Processing (NLP)

iSAI-NLP-AIoT2020-0171
Statistical Machine Translation for Myanmar Language Paraphrase Generation
Myint Myint Htay, Ye Kyaw Thu, Hnin Aye Thant, and Thepchai Supnithi

Track 2: Data Analytics and Machine Learning

iSAI-NLP-AIoT2020-0137
Enhancing and Evaluating an Impact of OCR and Ontology on Financial Document Checking Process
Worawut Yimyam, Sansanee Hiranchan, Mahasak Ketcham, Patiyuth Pramkeaw, Tanapon Jensuttiwetchakult, and Narumol Chumuang

Track 3: Signal, Image and Speech Processing

iSAI-NLP-AIoT2020-0129
Direction of Arrival Identification Using MUSIC Method and NLMS Beamforming
Raungrong Suleesathira

Track 4: Robotics, IoT and Embedded System

No Awards

Track 5: Smart Industrial Technologies

iSAI-NLP-AIoT2020-0173
A Framework of IoT Platform for Autonomous Mobile Robot in Hospital Logistics Applications
Kitti Thamrongaphichartkul, Nitisak Worrasittichai, Teeraya Prayongrak, Supachai Vongbunyong

Best Presentation Awards

iSAI-WS

Chair: Thepchai Supnithi

W1-01,
An Approach of Network Analysis Enhancing Knowledge Extraction in Thai Newspapers Contexts
Akkharawoot Takhom, Dhanon Leenoi, Chotanunsub Sophaken, Prachya Boonkwan, and Thepchai Supnithi

iSAI-01 (NLP,4R) (+1P)

Chair: Ponrudee Netisopakul

iSAI-NLP-AIoT2020-0151
Can Tweets predict ICO success? Sentiment Analysis for Success of ICO Whitepaper: evidence from Australia and Singapore Markets
Anchaya Chursook, Nathee Naktnasukanjn, Somsak Chaimaim, Piyachat Udomwong, Jutharut Chatsirikul, and Nopasit Chakpitak

iSAI-02 (Signal, 6R) (+1P)

Chair: Narit Nhoohom

iSAI-NLP-AIoT2020-0140
Estimation of Oil Content in Oil Palm Fresh Fruit Bunch by Its Surface Color
Sutat Sae-Tan

iSAI-03 (DA & ML, 4R1S) (+1P)

Chair: Konlakorn Wongpatikaseree

iSAI-NLP-AIoT2020-0170
Feature Extraction with SHAP Value Analysis for Student Performance Evaluation in Remote Collaboration
Mako Komatsu, Chihiro Takada, Chihiro Neshi, Teruhiko Unoki, and Mikifumi Shikida

iSAI-04 (NLP, 5R1S)

Chair: Rachada Kongkachandra

iSAI-NLP-AIoT2020-0165
A Machine Learning Approach for the Classification of Methamphetamine Dealers on Twitter in Thailand Punnavich Khowrurk and Rachada Kongkachandra

iSAI-05 (Robot, 5R2S) (+2P)

Chair: Denchai Worasawate

iSAI-NLP-AIoT2020-0174
A proposal of evaluation method using a pressure sensor for supporting auscultation training
Yuki Kodera, Kunimasa Yagi, and Mikifumi Shikida

iSAI-06 (Smart, 7R) (+2P)

Chair: Thaweesak Yingthawornsuk

iSAI-07 (DA & ML,2R) (+3P) + iSAI-08 (Signal, 4R1S) (2R1S) (+1P)

Chair: Sanparith Marukatat

iSAI-NLP-AIoT2020-0138 (Short)
COVID 19 X-Ray Image Classification using Voting Ensemble CNNs Transfer Learning
Phuwadol Viroonluecha, Thanwarat Borisut, and Jose Santa

The ONLINE system is Google Meet (Click to get the link)

News Update

The Google Meet links

Time will base on Thailand’s time (ICT/UTC+7).

Day 1 Room A + Opening Ceremony: ISAI-NLP-AIoT 2020 and IMC-AETM 2020 ONLINE
Date: November 18, 2020
Time: 10:30 – 17:00
https://meet.google.com/ucy-uqav-nsj

Day 1 Room B: ISAI-NLP-AIoT 2020 and IMC-AETM 2020 ONLINE
Date: November 18, 2020
Time: 14:30 – 17:00
https://meet.google.com/bhx-axom-tvw

Day 1 Room C: ISAI-NLP-AIoT 2020 and IMC-AETM 2020 ONLINE
Date: November 18, 2020
Time: 14:30 – 17:00
https://meet.google.com/uac-krzw-mvc

Day 1 Room D: ISAI-NLP-AIoT 2020 and IMC-AETM 2020 ONLINE
Date: November 18, 2020
Time: 14:30 – 17:00
https://meet.google.com/fss-swxg-emg

————-

Day 2 Room A + Keynote Speech II (iSAI-NLP-AIoT): ISAI-NLP-AIoT 2020 and IMC-AETM 2020 ONLINE
Date: November 19, 2020
Time: 8:00 – 17:00
https://meet.google.com/hku-vgdd-jtb

Day 2 Room B: ISAI-NLP-AIoT 2020 and IMC-AETM 2020 ONLINE
Date: November 19, 2020
Time: 10:00 – 17:00
https://meet.google.com/njm-uuno-gsn

Day 2 Room C: ISAI-NLP-AIoT 2020 and IMC-AETM 2020 ONLINE
Date: November 19, 2020
Time: 10:00 – 17:00
https://meet.google.com/tmv-httx-hmz

Day 2 Room D + Keynote Speech II (IMC-AETM): ISAI-NLP-AIoT 2020 and IMC-AETM 2020 ONLINE
Date: November 19, 2020
Time: 8:00 – 17:00
https://meet.google.com/cgt-nfnm-ghs

————-

Day 3 Room A : ISAI-NLP-AIoT 2020 and IMC-AETM 2020 ONLINE
Date: November 20, 2020
Time: 8:00 – 10:00
https://meet.google.com/juh-ztgm-ihv

Day 3 Room B : ISAI-NLP-AIoT 2020 and IMC-AETM 2020 ONLINE
Date: November 20, 2020
Time: 8:00 – 10:00
https://meet.google.com/vva-qdqn-yua

Day 3 Room C : ISAI-NLP-AIoT 2020 and IMC-AETM 2020 ONLINE
Date: November 20, 2020
Time: 8:00 – 10:00
https://meet.google.com/nei-tkpn-czi

Day 3 Room D : ISAI-NLP-AIoT 2020 and IMC-AETM 2020 ONLINE
Date: November 20, 2020
Time: 8:00 – 10:00
http://meet.google.com/pob-rpsc-qnb

Update! Conference Venue

News Update

Even though COVID-19 is currently stable and under control in Thailand, iSAI-NLP 2020 and AIoT 2020 would remain an online conference that will take place virtually, based on the Bangkok, Thailand time zone of UTC +7.

COVID-19 Planning

News Update

We remain optimistic that AI Week 2020 will proceed as planned in Bangkok in November. However, given the current fluidity of the situation, we cannot at this time predict what will happen. We assure you that we are planning for every eventuality and following how other conferences are dealing with it.

Get to know COVID-19

News Update

It is the disease caused by the novel coronavirus. Patients may have fever with respiratory symptoms – cough, runny nose, sore throat or difficulty breathing. It can even be fatal if the symptoms are severe.
Route of Transmission: Human-Human transmission through droplets from coughing and sneezing of infected person and close contact with COVID-19 cases.
Incubation period: 2-14 days

https://ddc.moph.go.th/viralpneumonia/eng/ind_knowledge.php

Self-Protection for Tourists

News Update

On 30 January 2020, the World Health Organization announced that the COVID-19 epidemic is a Public Health Emergency of International Concern (PHEIC) but has not made any announcements on travel restrictions.

Thailand announced to list COVID-19 as the 14th dangerous communicable disease under the Communicable Diseases Act B.E. 2558 on 29 February 2020 and made an announcement on 5 March 2020 that People’s Republic of China, including special territories Macau and Hong Kong, the Republic of Korea, the Italian Republic and the Islamic Republic of Iran are Disease Infected Zones.

• Advise people to avoid travel to the Disease Infected Zones (if travel is not necessary)

• If people need to travel to areas with ongoing outbreak, they should avoid crowded areas or polluted areas, should not make close contact with patients who are sneezing and coughing, and should wear hygienic masks.

• Avoid going to the hospital (if not necessary)

• Eat clean and fully cooked food i.e. meat, eggs and vegetables

• Wash hands with water and soap for at least 20 seconds or with alcohol gel

• Refrain from touching your eyes, nose and mouth

• Do not share personal items (such as handkerchiefs, glasses and towels) with other people because the virus can enter the body via secretions of infected people.

• Keep your body warm and get enough sleep.

• Within 14 days of entry to Thailand, if you have fever and respiratory symptoms such as cough, sore throat, runny nose and shortness of breath, you should wear a hygienic mask, wash hands and meet medical practitioners or public health officers immediately and inform them of your travel history because pneumonia complications can occur and severe symptoms may cause death.

• If you have any questions, you can ask the Department of Disease Control (DDC) hotline: 1422

https://ddc.moph.go.th/viralpneumonia/eng/ind_protect.php

Measures for people traveling from abroad into Thailand

News Update

1. Closures of all Points of Entry into the Kingdom by air, water, or land

2. The people who can travel to Thailand are as follows:

• An exempted person, as prescribed or permitted pertaining to necessity by the Prime Minister or Chief Official responsible for remedying the emergency situation whereby conditions and timeframes may also be prescribed;

• Carriers of necessary goods, who shall promptly depart after completing their mission;

• Vehicle operators and crew members of vehicles, who need to enter into the Kingdom pursuant to their mission, with a clear scheduled time of departure;

• Persons on diplomatic or consular missions or under International Organizations, or representatives of the government performing their duties in Thailand, or other persons or international agencies, including their families, that the Ministry of Foreign Affairs gives permission pertaining to necessity, shall apply for documents as described in Section 3;

• Non-Thai nationals who have work permits or have been granted permission from government agencies to work in the Kingdom, and who shall also comply with Section 3;

• Thai nationals who shall apply for a certificate of entry into the Kingdom from the Royal Thai Embassy or the Royal Thai Consulate in their country of residence, (or/and – which conjunction is it? If they only have a letter and no certificate, can they enter? Also how is the medical certificate different from the Fit to Fly Health Certificate?) has a medical certificate, and who shall comply with Section 3;

3. Persons granted with an exemption or relaxation must have a Fit to Fly Health Certificate which has been certified or issued no more than 72 hours before travelling;

4. Upon entry into the Kingdom, people must also strictly comply with disease prevention measures prescribed by the Government

https://ddc.moph.go.th/viralpneumonia/eng/ind_traveltoeng.php

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