APNNS/IEEE-CIS Education Forum Series:

Deep Learning and Artificial Intelligence Summer/Winter School 2023 (DLAI7)
17 - 21 July, 2023, Online virtually (ICT time)



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 language model like ChatGPT, which attract many attentions recently. 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. Perhaps DL can be viewed in a literature sense for providing deeper insights into learning systems in general, as it continues to be one of the fastest growing and evolving fields of AI research. 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 Networks 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/Winter School 2023 (DLAI7) 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 the advances in the field of deep learning and artificial intelligence. DLAI7 would also provide an opportunity for interactions and networking. With the successful series of DLAI starting from 2018, we are pleased to be able to offer the 7th DLAI this year. The event is run online to benefit more participants from across different countries and different background.

As DLAI7 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 Members, ACM Members, and INNS Members.

The DLAI7 Summer/Winter School will cover different aspects of deep learning with several talks by renowned researchers in the 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.


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

Day 1: Mon 17 Jul, 2023 (ICT eventtime UTC+7)

Time Activity
DLAI7 Opening Remarks
07:50 - 08:00 am. Welcome speeches by President of APNNS and Director of IEEE R10 (Asia Pacific)
08:00 - 09:00 am. Speaker: Naoyuki Kubota
Topic: Topological Intelligence and Topological Clustering
09:00 - 10:00 am. Speaker: Xiaofeng Liu
Topic: Affective Human-Robot Interaction
10:00 am. - 11:00 am. Speaker: Sriparna Saha
Topic: AI/ML Applications in Digital Health
11:00 am. - 12:30 pm. Lunch Break
12:30 - 01.30 pm. Speaker: Hamid Laga
Topic: Deep Learning-based 3D/4D Reconstruction and Analysis
01:30 - 02:30 pm. Speaker: Joni Zhong
Topic: Human centered AI for health care
02:30 - 03:30 pm. Speaker: Hwee Kuan Lee
Topic: APOLLO: AI Driven CT Coronary Angiography for Clinical and industrial applications
03:30 - 04:30 pm. Speaker: Kwan Hoong Ng
Topic: Grand Challenges of AI in Medical Imaging

Day 2: Tue 18 Jul, 2023 (ICT eventtime UTC+7)

Time Activity
08:00 - 09:00 am. Speaker: Md Zakir Hossain
Topic: Deep Learning for Assessing and Supporting Autistic Individuals
09:00 - 10:00 am. Speaker: Wei Liu
Topic: Query Embeddings for Multi-hop Reasoning Over Knowledge Graphs
10:00 am. - 11:00 pm. Speaker: Yi Zhang
Topic: AI + Informetrics for Tracking Technological Change
11:00 am. - 12:30 pm. Lunch Break
12:30 - 01:30 pm. Speaker: Asif Ekbal
Topic: Neural Networks for Natural Language Processing
01:30 - 02:30 pm. Speaker: Siridech Boonsang
Topic: Advancing Industrial Manufacturing with Generative AI and Synthetic Image Generation
02:30 - 03:30 pm. Speaker: Siamak Mehrkanoon
Topic: Deep Short-Term Weather Elements Forecasting

Day 3: Wed 19 Jul, 2023 (ICT eventtime UTC+7)

Time Activity
Forum for Young Investigators (FYI)
09:00 - 10:00 am. Speaker: Haiqin Yang
Topic: Aspect-level Sentiment Analysis Under Large Language Models: Our Investigation
Forum for Young Investigators (FYI)
10:00 - 11:00 am. Speaker: Sirawaj Itthipuripat
Topic: A model-based approach for determiningattention deficits in mild cognitive impairment using scalp-EEG
Forum for Young Investigators (FYI)
11:00 am. - 12:00 pm. Speaker: Nuttida Rungratsameetaweemana
Topic: Random noise promotes robust working memory dynamics in deep learning models
12:00 - 01:00 pm. Lunch Break
01:00 - 04:00 pm. Hackathon

Day 4: Thu 20 Jul, 2023 (ICT eventtime UTC+7)

Time Activity
09:00 - 10:00 am. Speaker: Dr. Badri N Subudhi
Topic: Deep Learning Architectures for the Thermal Video Surveillance
10:00 - 10:10 am. Eye Soothing Break
10:10 - 11:10 am. Speaker: Dr. Surajit Ghosh
Topic: Developing a Flood Extent Monitoring Framework using Deep Learning and Open-Source Data
11:10 - 11:20 am. Eye Soothing Break
11:20 am. - 12:20 pm. Speaker: Dr. Debasrita Chakraborty
Topic: Revolutionizing Research with Deep Learning
12:20 - 01:30 pm. Lunch Break
01:30 - 02:30 pm. Speaker: Prof. Arijit Sur
Topic: Zero Shot Learning for Computer Vision
02:30 - 02:40 pm. Eye Soothing Break
02:40 - 03:40 pm. Speaker: Dr. Venketnaresh Babu Kupili
Topic: Texture Image Classification Using Deep Neural Network and Binary Dragon Fly Optimization with a Novel Fitness Function
03:40 - 03:50 pm. Eye Soothing Break
03:50 - 04:50 pm. Speaker: Dr. Rajarshi Pal
Topic: Face Spoof Detection
04:50 - 05:00 pm. Valedictory

Day 5: Fri 21 Jul, 2023 (ICT eventtime UTC+7)

Time Activity
IEEE R10 Robotics Competition Stage I Pre-Event Workshop
09:00 am. - 12:00 pm. Speaker: School of Information Technology, KMUTT
Topic: Robotics Demonstration and Competition (on-site at KMUTT)
12:00 - 01:30 pm. Lunch Break
Panel Session on Generative AI
01:30 - 03:00 pm. Speaker: Irwin King, Sriparna Saha, Kasturi Dewi Varathan, ; moderated by Jonathan H. Chan
03:00 - 03:30 pm. Closing Remarks

Registration is now open

Click here to register!



Asif Ekbal

Indian Institute of Technolgy, Patna, India

Hamid Laga

Murdoch University, Australia

Hwee Kuan Lee

Agency for Science, Technology and Research, Singapore

Joni Zhong

Hong Kong Polytechnic University, Hong Kong

Kwan Hoong Ng

Universiti Malaya, Malaysia

Md Zakir Hossain

Curtin University, Australia

Naoyuki Kubota

Tokyo Metropolitan University, Japan

Siamak Mehrkanoon

Utrecht University, Netherland

Siridech Boonsang

King Mongkut's Institute of Technology Ladkrabang, Thailand

Sriparna Saha

Indian Institute of Technolgy, Patna, India

Wei Liu

University of Western Australia, Australia

Xiaofeng Liu

Hohai University, China

Yi Zhang

University of Technology Sydney, Australia

Haiqin Yang

IDEA, China

Sirawaj Itthipuripat

KMUTT, Thailand

Nuttida Rungratsameetaweemana

Columbia University, USA

Badri N Subudhi

IIT Jammu, India

Surajit Ghosh

IMWI, Sri Lanka

Debasrita Chakraborty


Arijit Sur

IIT Guwahati, India

Rajarshi Pal

IDRBT, India

Irwin King

Chinese University of Hong Kong, Hong Kong, SAR

Kasturi Dewi Varathan

Universiti Malaya, Malaysia

Organizing Committee

Kitsuchart Pasupa
King Mongkut's Institute of Technology Ladkrabang
Chu Kiong Loo
University of Malaya
Guanjin Wang
Murdoch University
Kevin Wong
Murdoch University
Jonathan H. Chan
King Mongkut's University of Technology Thonburi
Thanyathorn Thanapattheerakul
Innovative Cognitive Computing (IC2), KMUTT
Jaturong Kongmanee
University of Toronto
Noah (Zijie) Qu
University of Toronto
Ashish Ghosh
Indian Statistical Institute
Susmita Ghosh
Jadavpur University
Huynh Thi Thanh Binh
Hanoi University of Science and Technology

Sponsors and Organizers