APNNS/IEEE-CIS Education Forum Series:
Deep Learning and Artificial Intelligence Summer School 2022 (DLAI6)Tentative program - All times are given in ICT time (UTC+7)
Time | Activity |
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DLAI6 Opening Remarks | |
07.50 - 08.00 am. | Welcome speeches |
ACM Distinguished Speaker I | |
08.00 - 09.00 am. | Speaker: Ronald Baecker, University of Toronto, Canada
Topic: What Society Must Require from AI |
Academic Talk | |
09.00 - 10.00 am. | Speaker: Zeng-Guang Hou, Chinese Academy of Sciences, China
Topic: Enhancement of Engagement Based on BCI for Active Control of Rehabilitation Robots |
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: Nikola Kasabov (convener),
Soo-Young Lee, Zeng-Guang Hou,
Taro Toyoizumi, Seiichi Ozawa,
Jonathan H. Chan
Topic: Future deep learning machines inspired by the human brain |
IEEE-CIS Distinguished Lecturer Talk I | |
02.30 - 03.30 pm. | Speaker: Sanaz Mostaghim, Otto-von-Guericke Universität Magdeburg, Germany
Topic: Recent Advances in Swarm Intelligence and Swarm Robotics |
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 |
Time | Activity |
---|---|
IEEE-CIS Distinguished Lecturer Talk II | |
08.00 - 09.00 am. | Speaker: Jie LU, University of Technology Sydney, Australia
Topic: Fuzzy Transfer Learning |
Academic Talk | |
09.00 - 10.00 am. | Speaker: Guanjin (Brenda) Wang, Murdoch University, Australia
Topic: Learning from imbalanced data and case studies in healthcare |
Academic Talk | |
10.00 - 11.00 am. | Speaker: Jagdish Chand Bansal, South Asian University New Delhi, India
Topic: Drone Swarm: Concept, Challenges and Applications |
11.00 am. - 12 noon | Lunch Break, Group Photo and Networking |
IEEE-CIS Distinguished Lecturer Talk III | |
12 noon - 01.00 pm. | Speaker: Hisao Ishibuchi, Southern University of Science and Technology, China
Topic: Fair Performance Comparison of Evolutionary Multi-Objective Optimization Algorithms |
Academic Talk | |
01.00 - 02.00 pm. | Speaker: M. Tanveer, Indian Institute of Technology Indore, India
Topic: Large Scale Machine Learning Algorithms and Applications to Alzheimer's Disease (bio) |
Academic Talk | |
02.00 - 03.00 pm. | Speaker: Qi Sun, Bei Yu, Chinese University of Hong Kong, Hong Kong, China
Topic: Fast and Efficient Deep Learning Deployments via Learning-based Methods (Prof. Bei Yu's bio) |
Academic Talk | |
03.00 - 04.00 pm. | Speaker: Lipo Wang, Nanyang Technological University, Singapore
Topic: Deep Learning for Image Classification |
Academic Talk | |
04.00 - 05.00 pm. | Speaker: Chakarida Nukoolkit, King Mongkut's University of Technology Thonburi, Thailand
Topic: Data science concepts with case studies in health monitoring systems |
Time | Activity |
---|---|
Women in Science and Engineering (WiSE) Session | |
08.50 - 09.00 am. | WiSE opening remarks |
WiSE Academic Talk | |
09.00 - 10.00 am. | Speaker: Maryam Doborjeh, Auckland University of Technology, New Zealand
Topic: Brain inspired artificial intelligence technology for modelling of spatiotemporal brain data in mental and neurological applications |
WiSE Academic Talk | |
10.00 - 11.00 am. | Speaker: Huynh Thi Thanh Binh, Hanoi University of Science and Technology, Vietnam
Topic: Transfer Learning for Collaborative Optimization Problems |
WiSE Academic Talk | |
11.00 am. - 12.00 noon | Speaker: Sonali Agarwal, Indian Institute of Information Technology Allahabad, India
Topic: Explainable AI: current status and future directions |
WiSE Keynote | |
12.00 noon - 01.00 pm. | Speaker: Hava T. Siegelmann, University of Massachusetts Amherst, United States
Topic: Super Turing Computing Enables Lifelong Learning AI |
Forum for Young Investigators (FYI) Session | |
ACM Distinguished Speaker II | |
01.00 - 02.00 pm. | Speaker: Jimmy Cao, University of South Australia, Australia
Topic: Deep Reinforcement Learning with Human Intervention Applications |
WiSE Academic Talk | |
02.00 - 03.00 pm. | Speaker: Mamatha Balachandra, Manipal Institute of Technology, India
Topic: CDMC & AICS : Cyber Security Competition and Artificial Intelligence Workshop 2022, and Group Research Projects at MIT, Manipal (bio) |
Forum for Young Investigators (FYI) Session I | |
03.00 - 04.00 pm. | Speaker: Emmett Ientilucci, Rochester Institute of Technology, USA
Topic: Introduction to Hyperspectral Imaging |
Hackathon Session I + Networking | |
04.00 - 05.00 pm. | Topic: DLAI6 Hackathon/competition on Hyperspectral Image Classification (Kaggle) |
Time | Activity |
---|---|
Academic Talk | |
8.00 - 9.00 am. | Speaker: Mark Chignell, University of Toronto, Canada
Topic: A Computational Approach to Measuring and Managing Cognitive Decline in Older People |
Academic Talk | |
09.00 - 10.00 am. | Speaker: Taro Toyoizumi, RIKEN Center for Brain Science, Japan
Topic: Exploring the learning principle in the brain |
Academic Talk | |
10.00 - 11.00 am. | Speaker: Phayung Meesad, King Mongkut's University of Technology North Bangkok, Thailand
Topic: Deep Learning for Image and Natural Language Understanding |
Academic Talk | |
11.00 am. - 12.00 noon | Speaker: Tuan D. Pham, Prince Mohammad Bin Fahd University, Saudi Arabia
Topic: Fuzzy Recurrence Plots and Deep Learning for Biomedical Data Analyses |
12 noon - 01.00 pm. | Lunch Break |
Industry Talk | |
01.00 - 02.00 pm. | Speaker: Udom Silparcha, Riccio Investment Limited, Thailand
Topic: Introduction to Financial Trading |
Hackathon Session II + Networking | |
02.00 - 05.00 pm. | Topic: Hackathon/Competition + networking |
Time | Activity |
---|---|
Academic Talk | |
08.00 - 09.00 am. | Speaker: Ruck Thawonmas, Ritsumeikan University, Japan
Topic: Fighting Game Research Through a Competition Platform |
NVIDIA DLI Workshop II (Part I) | |
09.00 am. - 12.00 noon | Speaker: Chantana Chantrapornchai, Kasetsart University, Thailand
Topic: Fundamentals of Deep Learning for Multi-GPUs |
12 noon - 01.00 pm. | Lunch Break |
01.00 - 04.00 pm. | Speaker: Chantana Chantrapornchai, Kasetsart University, Thailand
Topic: Fundamentals of Deep Learning for Multi-GPUs |
04.00 - 04.15 pm. | Group Photo and Networking |
Hackathon Session III + wrap up | |
04.15 - 05.00 pm. | Topic: Wrap up of DLAI6 hackathon session + closing remarks |
Registration is now closed.
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Registration will be opened soon.