APNNS Education Forum Series: Deep Learning and Artificial Intelligence Summer School 2020 (DLAI3)

29 June - 3 July 2020, Bangkok, Thailand + AoE

87 days

NEWS


  • [1 Jul 2020] The talk by Prof. Akira Hirose has been rescheduled for Thu 2 Jul at 1.00 to 2.00 pm BKK time (UTC+7) instead. Our apologies for those who were expecting it to be on Wed 1 Jul.
  • [1 Jul 2020] Happy Canada Day! DLAI3 is now open to all who are interested. Please click here to register in order to receive a personalized link to participate.
  • [29 Jun 2020] Program schedule is updated with an additional Industry Talk by NVIDIA on Thu 2 Jul from 4-5 pm. All times are given in Bangkok time (UTC/GMT+7)
  • [27 Jun 2020] We are using the Zoom platform (primarily) for the event, with backup using Microsoft Teams. In order to ensure an orderly event and for security reasons, we have decided to require all delegates to have a Zoom account and need to register in the Zoom system beforehand. (Exceptions are for Teams users on a case-by-case basis.)
  • [27 Jun 2020] If you have registered earlier via Google Forms but have not received a confirmation, or have not confirmed your participation yet, please click here to confirm.
  • [27 Jun 2020] Program schedule is now confirmed! All times are given in Bangkok time (UTC/GMT+7)
  • [24 Jun 2020] Tentative program is now posted!
  • [21 Jun 2020] Tentative Schedule will be posted soon, and confirmation email with instructions on how to join DLAI3 will be sent shortly afterwards
  • [21 Jun 2020] Registration is now closed!
  • [1 Jun 2020] Registration is now open!

About


The concept of deep learning (DL) has been known in the neural network community for many years already. With the onset of more powerful computing facilities, especially the prevalence of graphical processing units (GPUs) and tensor processing units (TPUs), DL has been applied successfully and effectively in many state-of-the-art applications including computer vision, speech recognition, object detection, drug discovery, and so on. More recently, the techniques in DL/AI are leveraged for the current COVID-19 pandemic. DL basically uses deep neural network architecture with multiple layers to represent data with increasing abstraction and may be applied to supervised, unsupervised, as well as reinforcement learning. It is one of the fastest growing fields of AI research and current researches include deployment for COVID-19.

The Asia Pacific Neural Network Society (APNNS) is a professional society that promotes active interactions among researchers, scientists, and industry professionals who are working in Neural Network and related fields in the Asia Pacific region. APNNS was formalized as a legal entity in 2014, having evolved from the previous Asia Pacific Neural Network Assemby (APNNA) that was established back in 1993 in Nagoya, Japan, under the leadership of Professor Shun-Ichi Amari. More information about APNNS may be obtained at the Society website - www.apnns.org.

The APNNS Education Forum series on Deep Learning and Artificial Intelligence Summer School 2020 (DLAI3) is catered to all interested students, engineers, researchers, executives and administrators who may have some basic knowledge of machine learning and AI. With the successful inaugural DLAI back on Feb 1-4, 2018, and the second edition on Dec 10-13, 2018, we are pleased to be able to offer the 3rd DLAI this year. The venue is online due to the current pandemic and it will be held from June 29 to July 3, 2020. We will feature NVIDIA Deep Learning Institute (DLI) Workshops as well on the first two days.

As DLAI3 is a virtual event, it is offered free-of-charge to all academics. Non-academics can attend the NVIDIA DLI Workshops for certification at a deeply-discounted nominal cost that is payable to NVIDIA DLI. All other sessions are also free-of-charge to non-academics. However, there are limited seating available as an online event, priorities will be given to APNNS Members, IEEE-CIS/SMC/RAS Members, INNS Members, and students.

The DLAI Summer School will cover many aspects of deep learning with several talks by world renowned researchers in form of lectures/tutorials/workshops and panel sessions which will cover the most active current topics in DL and AI and their applications.

The participants are invited to join in hackathon sessions with specific provided datasets.

Program


Confirmed Schedule - All times are given in Bangkok time (UTC+7)


Day 1: Monday, 29 June 2020 (Bangkok time UTC+7)

Time Activity
IEEE Computational Intelligence Society Distinguished Lecturer
07.00 - 08.00 am. Breakfast chats - main session room opens and breakout rooms are available for networking upon request
08.00 - 09.00 am. Speaker: Kalyanmoy Deb, Michigan State University, USA
Topic: Recent Advances in Evolutionary Multi-Criterion Optimization and Future Studies
09.00 - 09.30 am. Coffee Break, Group Photo and Networking
NVIDIA Deep Learning Institute (DLI) Workshop I (Part I)
09.30 am. - 12.00 pm. Speaker: Jonathan H. Chan, King Mongkut’s University of Technology Thonburi, Thailand
Topic: NVIDIA DLI Workshop on Fundamentals of Deep Learning for Computer Vision
12.00 - 01.00 pm. Lunch Break, Group Photo and Networking
DLAI3 Opening Ceremony
01.00 - 01.15 pm. Opening Remarks of DLAI3 – APNNS/IEEE-CIS Thailand Chapter/IEEE-CIS/RAS WA Chapter/IEEE-SMC WA Chapter
Academic Talk 1
01.15 - 02.15 pm. Speaker: Seiichi Ozawa, Kobe University, Japan
Topic: An Introduction to Privacy-Preserving Machine Learning for Big Data Analysis
02.15 - 02.45 pm. Coffee Break, Group Photo and Networking
NVIDIA Deep Learning Institute (DLI) Workshop I (Part II)
02.45 - 05.00 pm. Speaker: Jonathan H. Chan, King Mongkut’s University of Technology Thonburi, Thailand
Topic: NVIDIA DLI Workshop on Fundamentals of Deep Learning for Computer Vision
05.00 - 06.00 pm. Networking – breakout rooms with sponsors, organizers, experts, delegates, ...

Day 2: Tuesday, 30 June 2020 (Bangkok time UTC+7)

Time Activity
Academic Talk 2
07.00 - 08.00 am. Breakfast chats - main session room opens and breakout rooms are available for networking upon request
08.00 - 09.00 am. Speaker: Mark Chignell, University of Toronto, Canada
Topic: Segmentation, not just for Marketing: Identifying and Tracking Meaningful Cohorts in Healthcare Prediction
09.00 - 09.30 am. Coffee Break, Group Photo and Networking
NVIDIA Deep Learning Institute (DLI) Workshop II
09.30 am - 12.00 pm. Speaker: Jonathan H. Chan, King Mongkut’s University of Technology Thonburi, Thailand
Topic: NVIDIA DLI Workshop on Fundamentals of Deep Learning for Multiple Data Types
12.00 - 01.00 pm. Lunch Break, Group Photo and Networking
Academic Talk 3
01.00 - 02.00 pm. Speaker: Sally E. Goldin, King Mongkut’s University of Technology Thonburi, Thailand
Topic: Doing Deep Learning - the hype and the reality
02.00 - 02.30 pm. Coffee Break, Group Photo and Networking
NVIDIA Deep Learning Institute (DLI) Workshop II (Wrap up)
02.30 - 05.00 pm. Speaker: Jonathan H. Chan, King Mongkut’s University of Technology Thonburi, Thailand
Topic: NVIDIA DLI Workshop on Fundamentals of Deep Learning for Multiple Data Types
05.00 - 06.00 pm. Networking – breakout rooms with sponsors, organizers, experts, delegates, ...

Day 3: Wednesday, 1 July 2020 (Bangkok time UTC+7)

Time Activity
IEEE Talk
07.00 - 08.00 am. Breakfast chats - main session room opens and breakout rooms are available for networking upon request
08.00 - 09.00 am. Speaker: Lance Fung, Murdoch University, Australia
Topic: IEEE Resources for AI/CI/ML/DL/...
Theory and Practice Workshop I
09.00 am - 12.00 pm. Speaker: Somnuk Phon-Amnuaisuk, Universiti Teknologi Brunei, Brunei Darussalam
Topic: Multiclass and Multilabel Classification using CNN Models
12.00 - 01.00 pm. Lunch Break, Group Photo and Networking
Academic Talk 4 (RESCHEDULED to THU 2 JUL at 1.00-2.00 PM INSTEAD)
01.00 - 02.00 pm. Speaker: Akira Hirose, University of Tokyo, Japan
Topic: Deep Learning in Geoscience and Remote Sensing
Academic Talk 5
02.00 - 03.00 pm. Speaker: Jagdish Chand Bansal, South Asian University, India
Topic: Swarm Intelligence: An Intelligent Way of Problem Solving
03.00 - 03.30 pm. Coffee Break, Group Photo and Networking
Academic Talk 6
03.30 - 04.30 pm. Speaker: Thanaruk Theeramungkong, Sirindhorn International Institute of Technology, Thailand
Topic: Thai Language Processing and AI Activities in Thailand
Academic Talk 7
04.30 - 05.30 pm. Speaker: Thepchai Supnithi, National Electronics and Computer Technology Center, Thailand
Topic: Research on Thai NLP from NECTEC perspectives
05.30 - 06.30 pm. Networking – breakout rooms with sponsors, organizers, experts, delegates, ...

Day 4: Thursday, 2 July 2020 (Bangkok time UTC+7)

Time Activity
Academic Talk 8
07.00 - 08.00 am. Breakfast chats - main session room opens and breakout rooms are available for networking upon request
08.00 - 09.00 am. Speaker: Tom Gedeon, The Australian National University, Australia
Topic: Affective Computing Beyond Computer Vision
Academic Talk 9
09.00 - 10.00 am. Speaker: Susmita Ghosh, Jadavpur University, India
Topic: Semi Supervised Learning with Applications
10.00 - 10.30 am. Coffee Break, Group Photo and Networking
Panel Session I
10.30 am. - 12.00 pm. AI and Cognitive Computing (human-centric, ethical AI, …)
Panelists: Tom Gedeon, Kazushi Ikeda, Susmita Ghosh, Lance Fung, and Kiyota Hashimoto
12.00 - 01.00 pm. Lunch Break, Group Photo and Networking
Academic Talk 4 (moved from Wed 1 Jul)
01.00 - 02.00 pm. Speaker: Akira Hirose, University of Tokyo, Japan
Topic: Deep Learning in Geoscience and Remote Sensing
Hackathon Session
02.00 - 04.00 pm. Hackathon - Teams of 3-5; submission of extended abstract to CSBio2020 under CHAT-2020
Industry Session
04.00 - 05.00 pm. Speaker: Ettikan Kandasamy Karuppiah, NVIDIA, Singapore
Topic: Nvidia Platforms for Conversational AI
05.00 - 06.00 pm. Networking – breakout rooms with sponsors, organizers, experts, delegates, ...

Day 5: Friday, 3 July 2020 (Bangkok time UTC+7)

Time Activity
Academic Talk 10
07.00 - 08.00 am. Breakfast chats - main session room opens and breakout rooms are available for networking upon request
08.00 - 09.00 am. Speaker: Irwin King, Chinese University of Hong Kong, Hong Kong SAR
Topic: Metapath Aggregated Graph Neural Network for Graph Embedding and Efficient Community Search over Large Directed Graph
Panel Session II
09.00 - 10.30 am. Deep Learning and AI in Social Media
Panelists: Irwin King, James Kwok, Minho Lee, Lotus Ruan, Jeffrey Knockel
10.30 - 11.00 am. Coffee Break, Group Photo and Networking
Academic Talk 11
11.00 am. - 12.00 pm. Speaker: James Kwok, Hong Kong University of Science and Technology, Hong Kong SAR
Topic: Compressing deep networks
12.00 - 01.00 pm. Lunch Break, Group Photo and Networking
Academic Talk 12
01.00 - 02.00 pm. Speaker: Minho Lee, Kyungpook National University, South Korea
Topic: Intelligent interaction based on deep learning for digital companion
Theory and Practice Workshop II
02.00 - 05.00 pm. Speaker: Haiqin Yang, Ping An Life, China
Topic: Artificial Intelligence Introduction: From Binary Classification to Multi-class Classification
Hackathon Wrap Up and Closing Remarks
05.00 - 05.45 pm. Hackathon Wrap Up + DLAI3 Closing Remarks + DLAI4

Speakers


Akira Hirose

Akira Hirose

University of Tokyo, Japan
Kalyanmoy Deb

Kalyanmoy Deb

Michigan State University, United States
Seiichi Ozawa

Seiichi Ozawa

Kobe University, Japan
Jagdish Chand Bansal

Jagdish Chand Bansal

South Asian University, India
Minho Lee

Minho Lee

Kyungpook National University, South Korea
James Kwok

James Kwok

Hong Kong University of Science and Technology, Hong Kong
Irwin King

Irwin King

The Chinese University of Hong Kong, Hong Kong
Lance Chun Che Fung

Chun Che Fung, Lance

Murdoch University, Australia
Tom Gedeon

Tom Gedeon

The Australian National University, Australia
Jonathan H. Chan

Jonathan H. Chan

King Mongkut’s University of Technology Thonburi, Thailand
Thanaruk Theeramunkong

Thanaruk Theeramunkong

Sirindhorn International Institute of Technology, Thailand
Thepchai Supnithi

Thepchai Supnithi

National Electronics and Computer Technology Center, Thailand
Somnuk Phon-Amnuaisuk

Somnuk Phon-Amnuaisuk

Universiti Teknologi Brunei, Brunei Darussalam
Susmita Ghosh

Susmita Ghosh

Jadavpur University, India
Haiqin Yang

Haiqin Yang

Ping An Life, China
Mark Chignell

Mark Chignell

University of Toronto, Canada
Sally Goldin

Sally E. Goldin

King Mongkut's University of Technology Thonburi, Thailand

REGISTRATION

The Deep Learning and Artificial Intelligence Summer School 2020 (DLAI3)
29 June - 3 July, 2020, Bangkok, Thailand

Registration is now closed.

We will confirm all successful DLAI3 registrants via an email.
(Details for the NVIDIA DLI Workshop registration will be provided in the notification email.)

Organizing Committee



Jonathan H. Chan, King Mongkut’s University of Technology Thonburi (Chair)
Phayung Meesad, King Mongkut’s University of Technology North Bangkok
Kitsuchart Pasupa, King Mongkut’s Institute of Technology Ladkrabang
Kiyota Hashimoto, Prince of Songkla University
Kuntpong Woraratpanya, King Mongkut’s Institute of Technology Ladkrabang
Vajirasak Vanijja, King Mongkut’s University of Technology Thonburi
Vithida Chongsuphajaisiddhi, King Mongkut’s University of Technology Thonburi
Thanyathorn Thanapattheerakul, King Mongkut’s University of Technology Thonburi

Lance Fung, Murdoch University
Kevin Wong, Murdoch University
Ahmed Abu-Siada, Curtin University
Hannes Herrmann, Curtin University
Guanjin Wang, Murdoch University

Sponsors

Organizers

Location

All programs will be hosted online and the schedule given in Bangkok time (UTC+7)