Services Conference Federation (SCF 2024)
http://icws.org/2024 , November 16 - 19, 2024, Bangkok, Thailand
Theme: AI-Generated Services
SCF 2024 Advance Program
Room Locations:
Invited Plenary Sessions will be held in the Panorama Meeting Room on the 7th floor.
Room A (as listed in the advance program) will also be located in the Panorama Meeting Room on the 7th floor.
Room B (as listed in the advance program) will be in the Courtyard Meeting Rooms on the 1st floor.
Registration Desk:
The registration desk will be located in front of the Panorama Meeting Room on the 7th floor, and it will open at 8:00 a.m. tomorrow (Nov. 16).
Please stop by to pick up your conference materials and name badge upon arrival.
For our conference participants only, a banquet will be held on the evening of November 16. Further details about the event will be provided on-site.
Invited Plenary Sessions
Keynote 1: Cloud Infrastructure and Services for Large Foundation Models
Saturday, November 16, 2024
8:50 - 9:50, UTC+7 Bangkok, Thailand
Keynote Speaker: Prof. Cheng-Zhong Xu, University of Macau
Abstract: With the emergence of large foundation models and generative AI technologies, model pre-training and real-time inference pose unprecedented challenges in computing power. Cloud infrastructure and cloud-edge services cater to the development needs of machine learning technology and can achieve a better compromise balance in model training and inference. This talk will discuss issues such as resource management and related model compression of cloud native data centers for large models. Our recent research results along the line will be presented in support of large models and AI applications. We will also share our thoughts on the future direction of large model operating systems.
About the Speaker
Dr. Cheng-Zhong Xu is a Chair Professor of Computer Science and the Dean of the Faculty of Science and Technology, University of Macau. He was also a Chief Scientist of key project on “Internet of Things for Smart City” of Ministry of Science and Technology of China and key project on “Intelligent Driving” of Macau SAR. He was the Director of Institute of Advanced Computing and Digital Engineering, Shenzhen Institutes of Advanced Technology (SIAT) of Chinese Academy of Sciences. Prior to these, he was in the faculty of Wayne State University, USA for over 18 years. Dr. Xu's research interest is mainly in the areas of parallel and distributed systems, cloud infrastructure and cloud-edge collaboration, and data-driven intelligent applications. He has published over 500 peer-reviewed papers on these topics and awarded more than 120 patents. Dr. Xu was the Chair of IEEE Technical Committee of Distributed Processing. He received his B.S. and M.S. degrees in Computer Science from Nanjing University and his Ph.D. from the University of Hong Kong in 1993. He is an IEEE fellow.
Keynote 2: Computility Net: Step towards Computing as Utility
Saturday, November 16, 2024
9:50 - 10:50, UTC+7 Bangkok, Thailand
Keynote Speaker: Prof. Hai Jin, Huazhong University of Science and Technology
Abstract: Computility net provides opportunities to transcending state-of-the-art technologies in AI, computing and network. This talk will delve into the evolution and architectural design of computility net from the perspective of distributed systems, tracing traditional models like grid and cloud computing to modern computility networks. The discussion will then focus on the specific challenges posed by computility net, particularly in terms of managing heterogeneous compute nodes and network connections. Architectural strategies that effectively address these challenges and facilitate optimal resource allocation across multiple computing centers will be explored. Additionally, the talk will indicate the diverse applications of computility networks in areas such as AI, scientific computing, and beyond, demonstrating their wide-reaching impact and potential.
About the Speaker
Hai Jin is a Chair Professor of computer science and engineering at Huazhong University of Science and Technology (HUST) in China. Jin received his PhD in computer engineering from HUST in 1994. In 1996, he was awarded a German Academic Exchange Service fellowship to visit the Technical University of Chemnitz in Germany. Jin worked at The University of Hong Kong between 1998 and 2000, and as a visiting scholar at the University of Southern California between 1999 and 2000. He was awarded Excellent Youth Award from the National Science Foundation of China in 2001.
Jin is a Fellow of IEEE, Fellow of CCF, and a life member of the ACM. He has co-authored more than 20 books and published over 900 research papers. His research interests include computer architecture, parallel and distributed computing, big data processing, data storage, and system security.
Keynote 3: Generative Models and Their Applications in Industrial Engineering
Sunday, November 17, 2024
9:00 - 10:00, UTC+7 Bangkok, Thailand
Keynote Speaker: Prof. Xiaoming Huo, Georgia Institute of Technology
Abstract: Generative AI platforms are revolutionizing the way we do many things. At its core, a generative model learns from existing examples and generates new, similar things. A generative AI platform is a computer program or algorithm that can create content, whether the content is images, text, or other data types. This is an introductory talk about some widely used generative models, including generative adversarial networks (GANs), variational autoencoders (VAEs), large language models (LLM), recurrent neural networks (RNNs), Bayesian networks, and flow-based generative models. Applications in various fields will be discussed.
About the Speaker
Xiaoming Huo is A. Russell Chandler III Professor in the H. Milton Stewart School of Industrial and Systems Engineering at Georgia Tech and Associate Director for Research at the Institute for Data Science and Engineering. Dr. Huo is also an associate director in the Master of Science in Analytics program. Dr. Huo's research interests include statistical theory and computing, optimization, and data sciences. His papers appeared in top journals, and some of them are highly cited. He is a senior member of IEEE and a Fellow of ASA. He was the sole winner of the Georgia Tech Sigma Xi Young Faculty Award in 2005. His work led to an interview by Emerging Research Fronts in June 2006 in the field of Mathematics -- every two months, one paper is selected. Dr. Huo received a Ph.D. degree in statistics from Stanford University, Stanford, CA, in 1999. He participated in the 30th International Mathematical Olympiad (IMO), held in Braunschweig, Germany, in 1989 and received a gold prize.
Keynote 4: AI in Industrial Design
Monday, November 18, 2024
Automated Webinar, 10:00 - 11:00, UTC+7 Bangkok, Thailand
Keynote Speaker: Prof. Roger Ball, Georgia Institute of Technology
Abstract: AI has the potential to revolutionize the Industrial Design Discipline yet we struggle to separate the hype from reality. Professor Roger Ball reviews the brief history of AI tools available to designers today and speculate where they may take us in the future. We review the new AI visualization tools like DALLE and Midjourney and discuss the impact of large language models like ChatGPT and their role in shaping the teaching of Industrial design.
About the Speaker
Roger Ball has been designing iconic sports products since 1983, for his clients; Burton Snowboards, Bauer, Fisher Price, Cooper Canada, Itech Sports, Brine Lacrosse, Bell Helmets and Nike.
His book "DesignDirect - how to start up your own micro brand" examines the opportunities for designers to create their own personal brand. DesignDirect is available as an ebook in English and simplified Chinese on Amazon.
His 3D anthropometric research project www.SizeChina.com created the first digital database of Chinese head and face shapes, driving revolutionary developments in "China Fit" products. His research clients include Luxottica, Microsoft, 3M, Cartier, Neurosky and cirque du soleil. His company www.chinafit.design is the first publicly available commercial Design Database for head and face shapes. The CAD friendly scans integrate seamlessly with Design and Engineering workflows.
His teaching focuses on designing body fit products. His projects in "wearables" transcend the current definitions of smart products to push the boundaries of what objects we wear on the outside and sometimes on the inside of the human body. The Scan & Print method of designing for the human body breaks new ground of what is possible using 3D Scan technology, CAD software and additive manufacturing.
Advance Program (version 20241114) — Download