APNNS/IEEE-CIS Education Forum Series:

Deep Learning and Artificial Intelligence Summer School 2021 (DLAI5)
6 - 10 May 2021, Online virtually (ICT time)

NEWS


About


The concept of deep learning (DL) has been known in the neural network community for well over a decade already. With the onset of more affordable 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, including in the rapid vaccine development processes. 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 continues to be one of the fastest growing fields of AI research. Current researches include deployment for COVID-19; however, there are more and more emphasis on the explainable and ethical AI aspects as well now. Our panel sessions will focus on the above issues.

The APNNS/IEEE-CIS Education Forum series on Deep Learning and Artificial Intelligence Summer School 2020 (DLAI5) is catered to all interested students, engineers, researchers, executives and administrators who may have some basic knowledge of machine learning and AI. The aim is to provide a forum for interested delegates to learn about certain basics as well as advances in the field of deep learning and artificial intelligence. DLAI5 would also provide an opportunity for interactions and networking. With the successful inaugural DLAI back on Feb 1-4, 2018, the second edition on Dec 10-13, 2018, the third edition on June 29 to July 3, and the latest DLAI4 on November 18-22, 2020, we are pleased to be able to offer the 5th DLAI at this time. The venue is online due to the ongoing pandemic and it will be held from May 6-10, 2021. DLAI5 will feature Keynote and Invited Speakers from IEEE Distinguished Lecturers, ACM Distinguished Speakers, and other notable speakers. In addition to Women in Science and Engineering (WISE) speakers, DLAI5 is proud to introduce the Forum for Young Investigators (FYI) as there will be prominent young researchers sharing their experiences with us.

As DLAI5 is a virtual event, it is offered free-of-charge to all registrants. All participants need to register online first. As there may be limited seating available as an online event, priorities will be given to APNNS Members, IEEE-CIS Members, IEEE Members, ACM Members, and INNS Members.

The DLAI5 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 some of the most active current topics in DL and AI and their applications. There are two NVIDIA Deep Learning Institute (DLI) certification workshops, and a hackathon will also be offered to provide a hands-on challenge for the participants.

DLAI5 is organized by the Innovative Cognitive Computing (IC2) Research Center at School of Information Technology (SIT), King Mongkut's University of Technology Thonburi (KMUTT) and co-organized by APNNS, IEEE-CIS Thailand Chapter, Joint Chapter of IEEE CIS/RAS Western Australia Chapter, IEEE-SMC Western Australia Chapter, IEEE-CIS Indonesia Chapter, and various partner institutions, with the latest being the Technology Innovation Hub at Indian Statistical Institue (TIH@ISI) and Jadavpur University, India.

Program


Tentative program - All times are given in ICT time (UTC+7)

Day 1: Thu 6 May 2021 (ICT time UTC+7)

Time Activity
DLAI5 Opening Remarks
07.50 - 08.00 am. Welcome speeches (video)
Academic Keynote I
08.00 - 09.00 am. Speaker: Kenji Doya, Okinawa Institute of Science and Technology, Japan
Topic: What can we further learn from the brain for AI? (video) (slides)
ACM Distinguished Speaker I
09.00 - 10.00 am. Speaker: Ka-Chun Wong, City University of Hong Kong, Hong Kong, China
Topic: Disruptive AI Technologies for Molecular Biology and Medicine: DNA Motifs, CRISPR-Cas9 Off-Targets, and Cancer Screening from Blood (video) (slides)
10.00 - 10.15 am. Group Photo and Networking
NVIDIA DLI Workshop I (Part I)
10.15 am. - 12.30 noon Speaker: Jonathan H. Chan, King Mongkut's University of Technology Thonburi, Thailand
Topic: Fundamentals of Deep Learning
12.30 - 01.00 pm. Lunch Break, Group Photo and Networking
Panel Session I
01.00 - 02.30 pm. Speaker: Chrisina Jayne (video) (slides), Yew-Soon Ong, Weizhi Meng
Topic: Explainable and Ethical AI
ACM Distinguished Speaker II
02.30 - 03.30 pm. Speaker: Weizhi Meng, Technical University of Denmark, Denmark
Topic: Securing Smart Devices with Behavioral User Authentication
NVIDIA DLI Workshop I (Part II)
03.30 - 05.00 pm. Speaker: Jonathan H. Chan, King Mongkut's University of Technology Thonburi, Thailand
Topic: Fundamentals of Deep Learning

Day 2: Fri 7 May 2021 (ICT time UTC+7)

Time Activity
Academic Keynote II
08.00 - 09.00 am. Speaker: Albert Zomaya, University of Sydney, Australia
Topic: Lightweight Short-term Photovoltaic Power Prediction for Edge Computing (video) (slides)
Academic Talk
09.00 - 10.00 am. Speaker: Vishnu Boddeti, Michigan State University, USA
Topic: Towards Learning Semantically Controllable Representations (video) (slides)
NVIDIA DLI Workshop II (Part I)
10.00 am. - 12.30 noon Speaker: Jonathan H. Chan, King Mongkut's University of Technology Thonburi, Thailand
Topic: Deep Learning for Healthcare Image Analysis
12.30 - 01.00 pm. Lunch Break, Group Photo and Networking
Academic Talk
01.00 - 02.00 pm. Speaker: Chee Seng Chan, Universiti Malaya, Malaysia
Topic: DeepIPR - Protecting Intellectual Property of Deep Learning Models
NVIDIA DLI Workshop II (Part II)
02.00 - 03.30 pm. Speaker: Jonathan H. Chan, King Mongkut's University of Technology Thonburi, Thailand
Topic: Deep Learning for Healthcare Image Analysis
Hackathon Session I
03.30 - 05.00 pm. Host: Jonathan H. Chan, King Mongkut's University of Technology Thonburi, Thailand
Topic I: Hackathon with theme (TBA)

Speaker: Paul Pang, Federation University, Australia
Topic II: CDMC2021-Towards Secure, Explainable and Trustworthy Artificial Intelligence (link) (CFP) (video) (slides)

Day 3: Sat 8 May 2021 (ICT time UTC+7)

Time Activity
Women in Science and Engineering (WISE) Session I
07.50 - 08.00 am. WISE opening remarks
WISE Keynote
08.00 - 09.00 am. Speaker: Deepa Kundur, University of Toronto, Canada
Topic: Analytics-Driven Cyber-Physical Security for a Converged Smart Grid
IEEE-CIS Distinguished Lecturer Talk I
09.00 - 10.00 am. Speaker: Pau-Choo (Julia) Chung, National Cheng Kung University, Taiwan
Topic: Gait and Balance Analysis for the Elderly Using an Inertial-Sensor-Based Wearable Device (publication)
WISE Industry Talk
10.00 - 11.00 am. Speaker: Yingxue Zhang, Huawei Montreal Research Centre, Canada
Topic: Bayesian Graph Neural Networks and its application in recommendation system (video) (slides)
WISE Academic Talk
11.00 am. - 12.00 noon Speaker: Claire Chewapreecha, King Mongkut's University of Technology Thonburi, Thailand
Topic: Dissecting the genetic basis of Melioidosis Infection (video) (slides)
12.00 noon - 12.50 pm. Lunch Break
Forum for Young Investigators (FYI) Session I
12.50 - 01.00 pm. FYI opening remarks
FYI Academic Talk
01.00 - 02.00 pm. Speaker: Haiqin Yang, Ping An Life, China
Topic: Towards building emphathetic chatbots (video) (slides)
FYI Industry Talk
02.00 - 03.00 pm. Speaker: Tanut Karnwai, IBM Data and AI, Thailand
Topic: Imbalanced credit card fraud detection via using deep neural network
FYI Academic Talk
03.00 - 04.00 pm. Speaker: Wittawat Jitkrittum, Google Research, Germany
Topic: Interpretable Comparison of Deep Generative Models (video) (slides)
Hackathon Session II + Networking
04.00 - 05.00 pm. Topic: Hackathon updates + Networking

Day 4: Sun 9 May 2021 (ICT time UTC+7)

Time Activity
IEEE-CIS Distinguished Lecturer Talk II
8.00 - 9.00 am. Speaker: Saman K. Halgamuge, The University of Melbourne, Australia
Topic: Democratisation of Deep Learning: Self Growing Neural Network Architectures (video)
Forum for Young Investigators (FYI) Session II
FYI Academic Talk
09.00 - 10.00 am. Speaker: Worrawat Engchuan, The Centre for Applied Genomics, Canada
Topic: Deep learning in genetic study of ASD (video) (slides)
FYI Academic Talk
10.00 - 11.00 am. Speaker: Rajarshi Pal, Institute for Development and Research in Banking Technology, India
Topic: AI for handwritten document forensic (video) (slides)
Hackathon Session III + Networking
11.00 am. - 12.00 noon Topic: Hackathon updates + networking
Ideation Call for Cooperation: Landsky (video)
12 noon - 01.00 pm. Lunch Break
Women in Science and Engineering (WISE) Session II
WISE Academic Talk
01.00 - 02.00 pm. Speaker: Guanjin (Brenda) Wang, Murdoch University, Australia
Topic: Solving real-world data challenges using machine learning (video)
WISE Academic Talk
02.00 - 03.00 pm. Speaker: Sansanee Auephanwiriyakul, Chiang Mai University, Thailand
Topic: Fuzzy Pattern Recognition in Data Analysis
WISE Academic Talk
03.00 - 04.00 pm. Speaker: Shirley Siu, University of Macau, Macau, China
Topic: Targeted Anticancer Peptides Discovery: Machine Learning and Molecular Study
WISE Academic Talk
04.00 - 05.00 pm. Speaker: Annalisa Occhipinti, Teesside University, UK
Topic: Healthcare and AI: Promising Applications for Cancer Prediction (video) (slides)

Day 5: Mon 10 May 2021 (ICT time UTC+7)

Time Activity
JSCI10 Keynote I
08.00 - 09.00 am. Speaker: Sung-Bae Cho, Yonsei University, South Korea
Topic: Exploiting Latent Space of Deep Learning for Practical Applications (video)
Panel Session II
09.00 - 10.15 am. Speaker: Sung-Bae Cho, Ashish Ghosh, Jonathan Chan
Topic: AI for COVID-19 (video)
JSCI10 Industry Talk
10.15 - 11:00 am. Speaker: Monchai Lertsutthiwong, Kasikorn Labs, Thailand
Topic: Global challenge for AI in business transformation (video) (slides)
Hackathon Session IV + Networking
11.00 am. - 12.00 noon Topic: Hackathon updates + networking
12.00 noon - 01.00 pm. Lunch Break
JSCI10 Keynote II
01.00 - 02.00 pm. Speaker: Claudio Angione, Teesside University, UK
Topic: Deep learning approaches to predict the cell metabolic phenotype (video) (slides)
JSCI10 Student Session II
02.00 - 03.30 pm. Topic: JSCI10 Student Session II
03.30 - 03.45 pm. Group Photo and Networking
Hackathon Session V
03.45 - 05.00 pm. Topic: Wrap up of DLAI5 hackathon session + closing remarks

Speakers

Chrisina Jayne

Chrisina Jayne

Teesside University, UK
Yew-Soon Ong

Yew-Soon Ong

Nanyang Technological University, Singapore
Albert Zomayaz

Albert Zomaya

University of Sydney, Australia
Kenji Doya

Kenji Doya

Okinawa Institute of Science and Technology, Japan
Sung-Bae Cho

Sung-Bae Cho

Yonsei University, South Korea
Deepa Kundur

Deepa Kundur

University of Toronto, Canada
Pau-Choo (Julia) Chung

Pau-Choo (Julia) Chung

National Cheng Kung University, Taiwan
Saman Halgamuge

Saman Halgamuge

The University of Melbourne, Australia
Chee Seng Chan

Chee Seng Chan

Universiti Malaya, Malaysia
Sansanee Auephanwiriyakul

Sansanee Auephanwiriyakul

Chiang Mai University, Thailand
Ka-Chun Wong

Ka-Chun Wong

City University of Hong Kong, Hong Kong, China
Weizhi Meng

Weizhi Meng

Technical University of Denmark, Denmark
Vishnu Bodetti

Vishnu Boddeti

Michigan State University, USA
Claudio Angione

Claudio Angione

Teesside University, UK
Annalisa Occhipinti

Annalisa Occhipinti

Teesside University, UK
Guanjin (Brenda) Wang

Guanjin (Brenda) Wang

Murdoch University, Australia
Claire Chewapreecha

Claire Chewapreecha

King Mongkut's University of Technology Thonburi, Thailand
Shirley Siu

Shirley Siu

University of Macau, Macau, China
Tanut Karnwai

Tanut Karnwai

IBM Data and AI, Thailand
Wittawat Jitkrittum

Wittawat Jitkrittum

Google Research, Germany
Haiqin Yang

Haiqin Yang

Ping An Life, China
Worrawat Engchuan

Worrawat Engchuan

The Centre for Applied Genomics, Canada
Yingxue Zhang

Yingxue Zhang

Huawei Montreal Research Center, Canada
Rajarshi Pal

Rajarshi Pal

Institute for Development and Research in Banking Technology, India
Monchai Lertsutthiwong

Monchai Lertsutthiwong

Kasikorn Labs, Thailand
Ashish Ghosh

Ashish Ghosh

Indian Statistical Institute, India
Jonathan H. Chan

Jonathan H. Chan

King Mongkut's University of Technology Thonburi, Thailand
Paul Pang

Paul Pang

Federation University, Australia

REGISTRATION

The Deep Learning and Artificial Intelligence Summer School 2021 (DLAI5)
6 - 10 May 2021, Virtually online (ICT time)

Registration is now open.

Zoom will confirm all successful DLAI5 registrants via an email.

Organizing Committee



Jonathan H. Chan, King Mongkut’s University of Technology Thonburi (General Chair)
Phayung Meesad, King Mongkut’s University of Technology North Bangkok
Kitsuchart Pasupa, King Mongkut’s Institute of Technology Ladkrabang
Kuntpong Woraratpanya, King Mongkut’s Institute of Technology Ladkrabang
Sansanee Auephanwiriyakul, Chiang Mai University
Nipon Theera-Umpon, Chiang Mai University
Vithida Chongsuphajaisiddhi, King Mongkut’s University of Technology Thonburi
Vajirasak Vanijja, King Mongkut’s University of Technology Thonburi
Nipon Charoenkitkarn, King Mongkut’s University of Technology Thonburi
Kiyota Hashimoto, Prince of Songkla University
Kevin Wong, Murdoch University
Lance Fung, Murdoch University
Ahmed Abu-Siada, Curtin University
Hannes Herrmann, Curtin University
Guanjin Wang, Murdoch University
Teddy Mantoro, Sampoerna University
Ashish Ghosh, Indian Statistical Institute
Susmita Ghosh, Jadavpur University
Thanyathorn Thanapattheerakul, Cohere
Jaturong Kongmanee, Michigan State University

Sponsors

Organizers

Location

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