https://www.servicessociety.org/news daily 0.75 2021-03-03 https://www.servicessociety.org/news/scf2021-site monthly 0.5 2021-03-03 https://www.servicessociety.org/news/scf2020 monthly 0.5 2021-03-05 https://images.squarespace-cdn.com/content/v1/603374a667c0d20c6f2418c2/1614763407633-PU3JSH5BEM7ES5ZQ5XAT/2020scf.jpg News - SCF 2020 Creates the Future of New ABCDE (AI, Blockchain, Cloud, BigData &amp; IOT) (See SCF 2020 CFP published in the Communications of ACM, November 2019, and December 2019 ) https://www.servicessociety.org/news/ssysf-2014-07 monthly 0.5 2021-03-03 https://images.squarespace-cdn.com/content/v1/603374a667c0d20c6f2418c2/1614764984337-ALWO9LTH7ZGZQ0KQOGFF/SSYSF-2014.jpg News - SSYSF Global Leaders Meeting (July 1, 2014)</a> (SSYSF Meeting, July 1, 2014, Anchorage, Alaska, USA) https://www.servicessociety.org/news/ssysf-launch monthly 0.5 2021-03-03 https://images.squarespace-cdn.com/content/v1/603374a667c0d20c6f2418c2/1614765563036-VE35HY6V7TSPDK6EW5KO/ssysf-launch-2014.png News - Services Society Young Scientist Forum https://www.servicessociety.org/news/category/confs monthly 0.5 https://www.servicessociety.org/home daily 0.75 2021-02-23 https://www.servicessociety.org/about daily 1.0 2024-10-12 https://www.servicessociety.org/our-team daily 0.75 2024-03-15 https://images.squarespace-cdn.com/content/v1/603374a667c0d20c6f2418c2/1614758085641-330FMY5Y1AYJSJS5LSCF/Wu-Chou.jpg Our Team - Wu Chou (President, Services Society) Tobias Keene, D.D.S. Hailing from Richmond, Virginia, Dr. Tobias Keene brings a bit of unabashed Southern hospitality to all his patients. He moved to Washington, D.C. over thirty years ago as a freshman at Ivy College. Right after graduation, he attended World University’s School of Dentistry. Before opening Keene Dental in 1994, he worked for free clinics and some of the finest practices in the District. He is part of the 123 Dental Association and stays up-to-date on the latest dental discoveries. When not striving to keep his patients happy and healthy, he’s enjoys hiking with his family in Rock Creek Park. https://images.squarespace-cdn.com/content/v1/603374a667c0d20c6f2418c2/1614758964004-F9LZX0EG42KGLOILBA4P/%25E5%25BC%25A0%25E8%2589%25AF%25E6%259D%25B0%2B%25284%2529.jpg Our Team - Liang-Jie Zhang (Vice President of Technical Activities, Services Society) Liang-Jie Zhang (Vice President of Technical Activities, Services Society) https://images.squarespace-cdn.com/content/v1/603374a667c0d20c6f2418c2/1614758180690-JABXX8PHPVV9AETC7IA4/Ali.jpg Our Team - Ali Arsanjani (Chair of SIG on Artificial Intelligence) Dr. Ali Arsanjani is the director of Cloud Partner Engineering at Google. Before this position, he was the TechSector Leader and Principal Specialist Machine Learning Architect for AI/ML Solutions Architecture with Amazon Web Services. He leads the Technology Sector for Saas, Software, ISVs and Internet, where AWS largest customers are served. He also leads an Applied Science team for research in AI. From 1998 to 2018, Ali was an IBM Chief Technology Officer (CTO) for Analytics & Machine Learning, IBM Distinguished Engineer, responsible for applied research and architectural implementations leading IBM services teams in customized machine learning and analytics solutions. Building teams across multiple geos in large-scale agile solution development he was considered the father of SOA. His career spans CTO responsibilities for SOA, BPM, RPA, Analytics, Machine Learning and Artificial Intelligence Systems. Ali is a hands-on machine learning executive and engineer/researcher with over 20 years experience implementing software systems that leverage service-oriented architecture, analytics and machine learning for IBM’s largest clients. Ali's breadth of ML and DL expertise covers NLP/NLU/NLG, Deep learning ensemble models, anomaly/outlier/pattern detection and training, customer segmentation/churn/upsell analysis , voice/video and text analysis for conversational virtual assistant implementations. Ali has chaired standard bodies such as The Open Group and is responsible for co-leading the SOA Reference Architecture, SOA Maturity Model, and Cloud Computing Architecture standards. In his long tenure at IBM, He & his team specialize in harvesting, developing best-practices for microservices architectures on hundreds of projects WW across multiple industries, leading a community of practice of over 6000 people. https://images.squarespace-cdn.com/content/v1/603374a667c0d20c6f2418c2/539aeb2e-b276-42f6-8c1d-f8d6fe731e73/BGolds.jfif Our Team https://images.squarespace-cdn.com/content/v1/603374a667c0d20c6f2418c2/1614758387198-6ZU30080S8DS7HB2QK5J/Min-Luo.jpg Our Team - Min Luo (Vice President and CFO, Services Society) Dr. Min Luo has over 25+ years of successful professional career, including over 20 years of management position at Huawei Central Research Institute, IBM Software Group and Global Services, and two of the Fortune 500 transportation companies. He is an established expert in the field of next negation software defined networking (SDN), enterprise architecture and information systems, whole life cycle software application and product development, business intelligence, and business process optimization. He is also a pioneer and one of the recognized leading experts and educators in service-oriented architecture (SOA), model/business-driven architecture and development (MDA-D), and component/object-oriented technologies. https://images.squarespace-cdn.com/content/v1/603374a667c0d20c6f2418c2/1614758886233-BU098507GMLXD904TYHO/t2.jpg Our Team - Zhixiong Chen (Past President, Services Society) Zhixiong Chen Dr. Z Chen has been working on the cybersecurity for over 20 years. His research interests are data security and exploration. He has published over 40 papers. He has worked in IBM research, Shanghai Jiao Tong University and Mercy College. He is the senior members in IEEE and ACM as well. He holds CISSP since 2010. The Cybersecurity Education Center he founded in 2007 is a national center of academic excellence on cyber defense education (CAE-CDE) designated by NSA and DHS. He was awarded several grants from DHA for developing cyber security course ware. https://www.servicessociety.org/contact-us daily 0.75 2024-11-29 https://www.servicessociety.org/cloud daily 0.75 2026-03-24 https://images.squarespace-cdn.com/content/v1/603374a667c0d20c6f2418c2/1614239495641-BKUI482NQT228OIRV79Y/cloud-top-banner.jpg https://images.squarespace-cdn.com/content/v1/603374a667c0d20c6f2418c2/2d3f163f-e120-46a8-b867-0c589ad64c96/logo_cloud.jpg https://images.squarespace-cdn.com/content/v1/603374a667c0d20c6f2418c2/1615885159740-XKA1R053SNU07TSMBX33/color1.png https://images.squarespace-cdn.com/content/v1/603374a667c0d20c6f2418c2/76085f6a-5a0f-47b0-b9ab-706426488425/springer-logo.png https://images.squarespace-cdn.com/content/v1/603374a667c0d20c6f2418c2/77a97947-3353-4539-9b04-c6c580f395d6/szccf-logo.png https://images.squarespace-cdn.com/content/v1/603374a667c0d20c6f2418c2/d16be500-7166-4264-97a7-3b45090eb835/hlt.png https://www.servicessociety.org/certification daily 0.75 2021-03-03 https://www.servicessociety.org/bok daily 0.75 2021-03-10 https://images.squarespace-cdn.com/content/v1/603374a667c0d20c6f2418c2/1614083125994-9CT3OWW5QZYWV6B2JH56/jisuanlantu.png BOK Source: Created by Dr. Liang-Jie Zhang (LJ) in 2003 https://www.servicessociety.org/stcc daily 0.75 2021-02-23 https://images.squarespace-cdn.com/content/v1/603374a667c0d20c6f2418c2/1614082140781-15L0D8F0YKJ07D05LRLN/cc.png STCC - Services Transactions on Cloud Computing (STCC) The Services Transactions on Cloud Computing (STCC)is a refereed, international publication featuring the latest research findings and industry solutions involving all aspects of cloud computing. STCC's major topics include but not limited to architecture, modeling, development, deployment, analytics, optimization, outsourcing, delivery model, consulting, and solutions of Cloud Computing. Link: The Services Transactions on Cloud Computing (STCC) https://www.servicessociety.org/stsc daily 0.75 2021-02-23 https://images.squarespace-cdn.com/content/v1/603374a667c0d20c6f2418c2/1614082333627-VNZ14991EGB1UL0LB37U/sc.png STSC - Services Transactions on Services Computing (STSC) The Services Transactions on Services Computing (STSC) is a refereed, international publication aiming to be a valuable resource providing leading technologies, development, ideas, and trends to an international readership of researchers and engineers in the field of Services Computing. Link: The Services Transactions on Services Computing (STSC) https://www.servicessociety.org/stbd daily 0.75 2021-02-23 https://images.squarespace-cdn.com/content/v1/603374a667c0d20c6f2418c2/1614082422012-WQHNDN0QWS2Z34J9CEHE/bd.png STBD - Services Transactions on Big Data (STBD) The Services Transactions on Big Data (STBD) aims to provide the first Open Access publication channel for all authors working in the field of all aspects of Big Data. STBD's major topics include but not limited to architecture, modeling, development, deployment, analytics, optimization, outsourcing, delivery model, consulting, and solutions of big data. Link: The Services Transactions on Big Data (STBD) https://www.servicessociety.org/stiot daily 0.75 2021-02-23 https://images.squarespace-cdn.com/content/v1/603374a667c0d20c6f2418c2/1614082548050-N4YNTS783MW0SHSAQK9I/ss.png STIOT - Services Transactions on Internet of Things (STIOT) The Services Transactions on Internet of Things (STIOT) is a refereed, international publication aiming to be a core resource providing leading technologies, development applications, empirical studies, and future trends in the field of Internet of Things (IOT). 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difference. https://images.squarespace-cdn.com/content/v1/603374a667c0d20c6f2418c2/69d43ab7-27ca-4513-86cc-c079323ace08/MART6053.jpg Satellite Session - Make it stand out Whatever it is, the way you tell your story online can make all the difference. https://www.servicessociety.org/icws/2022 daily 0.75 2023-03-03 https://images.squarespace-cdn.com/content/v1/603374a667c0d20c6f2418c2/1614322282957-7VNMOZ85K9A527S7CGFS/top-banner.jpg ICWS 2022 Services Conference Federation (SCF 2022) https://images.squarespace-cdn.com/content/v1/603374a667c0d20c6f2418c2/1614322387079-Y9OR1KL8QYYMYJKUQ8ZS/logo-icws.png ICWS 2022 https://www.servicessociety.org/aims/2022 daily 0.75 2023-03-03 https://images.squarespace-cdn.com/content/v1/603374a667c0d20c6f2418c2/1614322282957-7VNMOZ85K9A527S7CGFS/top-banner.jpg AIMS 2022 Services Conference Federation (SCF 2022) https://images.squarespace-cdn.com/content/v1/603374a667c0d20c6f2418c2/1614579895877-FWOIE40MUFOM552UUS01/logo-aims.png AIMS 2022 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https://images.squarespace-cdn.com/content/v1/603374a667c0d20c6f2418c2/69e7079e-dba9-4fd6-a571-b3c4f43f7042/BigData2021P.png Literature - Make it stand out Whatever it is, the way you tell your story online can make all the difference. https://images.squarespace-cdn.com/content/v1/603374a667c0d20c6f2418c2/34eb93d4-8cc2-4019-8f22-70affba3a350/CLOUD2021P.png Literature - Make it stand out Whatever it is, the way you tell your story online can make all the difference. https://images.squarespace-cdn.com/content/v1/603374a667c0d20c6f2418c2/9e09fc2b-2e68-44be-8aa4-0c3cce263e93/ICCC2021P.png Literature - Make it stand out Whatever it is, the way you tell your story online can make all the difference. https://images.squarespace-cdn.com/content/v1/603374a667c0d20c6f2418c2/310f9d0f-0ef4-4a69-bc42-c77b209121f1/SCC2021P.png Literature - Make it stand out Whatever it is, the way you tell your story online can make all the difference. 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2024-12-19 https://images.squarespace-cdn.com/content/v1/603374a667c0d20c6f2418c2/1614322282957-7VNMOZ85K9A527S7CGFS/top-banner.jpg EDGE 2024 Services Conference Federation (SCF 2024) https://images.squarespace-cdn.com/content/v1/603374a667c0d20c6f2418c2/1614589269820-F5O06F0CW1ZL1HHJPHM2/logo-edge.png EDGE 2024 https://www.servicessociety.org/iciot/2024 daily 0.75 2024-12-19 https://images.squarespace-cdn.com/content/v1/603374a667c0d20c6f2418c2/1614322282957-7VNMOZ85K9A527S7CGFS/top-banner.jpg ICIOT 2024 Services Conference Federation (SCF 2024) https://images.squarespace-cdn.com/content/v1/603374a667c0d20c6f2418c2/1614597422468-9JFRF2H0C3WOJSQZ1V39/logo-iciot.png ICIOT 2024 https://www.servicessociety.org/iccc/2024 daily 0.75 2024-12-19 https://images.squarespace-cdn.com/content/v1/603374a667c0d20c6f2418c2/1614322282957-7VNMOZ85K9A527S7CGFS/top-banner.jpg ICCC 2024 Services Conference Federation (SCF 2024) 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https://images.squarespace-cdn.com/content/v1/603374a667c0d20c6f2418c2/1614322282957-7VNMOZ85K9A527S7CGFS/top-banner.jpg Hotel Services Conference Federation (SCF 2024) https://www.servicessociety.org/advance-program/2024 daily 0.75 2024-12-19 https://images.squarespace-cdn.com/content/v1/603374a667c0d20c6f2418c2/1614322282957-7VNMOZ85K9A527S7CGFS/top-banner.jpg Advance Program Services Conference Federation (SCF 2024) https://images.squarespace-cdn.com/content/v1/603374a667c0d20c6f2418c2/8469e614-3572-4eff-9564-d29a17affc24/Cheng-Zhong+Xu.png Advance Program - 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. https://images.squarespace-cdn.com/content/v1/603374a667c0d20c6f2418c2/d165f9d3-f73a-403e-b9d9-cf23985d9f85/Jin+Hai.jpg Advance Program - 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. https://images.squarespace-cdn.com/content/v1/603374a667c0d20c6f2418c2/abd784e7-765f-4bf0-9d25-507bb09a560e/Xiaoming+Huo.jpg Advance Program - 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. https://images.squarespace-cdn.com/content/v1/603374a667c0d20c6f2418c2/7c4ddab4-d848-4615-8cbb-d47bc543cb64/Roger+Ball.jpg Advance Program - 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. https://www.servicessociety.org/ijwsr daily 0.75 2024-12-31 https://images.squarespace-cdn.com/content/v1/603374a667c0d20c6f2418c2/56e8230e-30f3-464b-bde1-1da22c4e7026/GJxPebkWEAAeEG-.jpg https://www.servicessociety.org/callforvolunteers daily 0.75 2026-01-25 https://images.squarespace-cdn.com/content/v1/603374a667c0d20c6f2418c2/1614322282957-7VNMOZ85K9A527S7CGFS/top-banner.jpg https://www.servicessociety.org/program/2023 daily 0.75 2025-04-28 https://images.squarespace-cdn.com/content/v1/603374a667c0d20c6f2418c2/1614322282957-7VNMOZ85K9A527S7CGFS/top-banner.jpg Advance Program Services Conference Federation (SCF 2023) https://www.servicessociety.org/icws/2025 daily 0.75 2026-01-31 https://images.squarespace-cdn.com/content/v1/603374a667c0d20c6f2418c2/1614322282957-7VNMOZ85K9A527S7CGFS/top-banner.jpg 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https://images.squarespace-cdn.com/content/v1/603374a667c0d20c6f2418c2/78c95f57-2878-430b-ab44-3b23186a8554/Hai+Jin.jpg Advance Program - Abstract: With the rapid growth of big data, it is harder and harder to processing these ever-growing data with traditional computer architecture. Dataflow-based architecture provides a new way to tackle above challenge. This talk first briefly introduces the challenges in processing big data and also the difficulties in processing graph computing, then introduce some research results we have done during these years in using dataflow for graph computing. Finally, some future directions for dataflow architecture and also when used in graph computing are introduced. 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. https://images.squarespace-cdn.com/content/v1/603374a667c0d20c6f2418c2/898bf427-8ea6-4407-860d-46d529c8d550/Rudrapatna+K.+Shyamasundar.png Advance Program - Abstract: The introduction of Bitcoin, a peer-to-peer electronic cash system by Satoshi Nakamoto, was a milestone in the introduction of cryptocurrencies and blockchain technologies. It realized trust from untrusted stakeholders, thus revolutionizing the notion of trust. Bitcoin introduced the concept of a decentralized digital currency, enabling peer-to-peer transactions without intermediaries. Further, Bitcoin signalled out the blockchain data-structure having properties like public, immutable and distributed that are much sought after in complex societal systems. Bitcoin based on proof-of-work (PoW) consensus suffered from scalability, performance and large energy consumptions. Bitcoin being the champion introducer of cryptocurrencies and blockchain technologies epitomises the first generation blockchain technology. While several works tried to overcome the issues of PoW, there was the dire need of flexibility of programming transactions rather than confine to the primitive send /receive transactions available in the Bitcoin blockchain technology as that hindered innovations in blockchain technology applications. The introduction of smart contracts through programming languages like Go, DAML, Solidity etc., in the blockchain technology can be considered as the second generation blockchain technology. Ethereum platform with the rich smart contract specification language Solidity is treated as the one ushering the second generation blockchain technologies. Ethereum enriched innovations through the introduction of decentralized applications (Dapps). Initially Ethereum started with PoW as its consensus mechanism, realized flexibility to a large extent leading to a plethora of applications due to its rich smart contract language Solidity, but still suffered from the issues of scalability and high energy consumption. Recently, Ethereum has transitioned to proof-of-stake (PoS) consensus leading to a more scalable and less-energy consuming technology as compared to the version with PoW. However, it still suffers from issues of centralization, MEV attacks, attacks due to smart contract vulnerabilities and fairness. While both the first and second generation blockchain technologies are characterized by pruning of branches of blocks based on the underlying consensus mechanisms a third generation blockchain technology has been introduced that does not prune any branch/transaction at all. Hedera built on Hashgraph consensus algorithm epitomizes this technology. Hedera assures a global order of all transactions and overcomes several of the issues highlighted. In this talk, we discuss how characteristics of blockchain technologies like centralization, exploitation of smart contract vulnerabilities, MEV attacks, scalability, energy consumption and fairness have evolved with the generations of blockchain technologies. We further discuss issues of fairness in these technologies that has challenges for governance of blockchain technology applications. About the Speaker Rudrapatna K. Shyamasundar is a Life Fellow of IEEE, a Fellow of ACM, Distinguished ACM Speaker, a Distingusihed Alumnus of Indian Institute of Science, served as IEEE Distinguished Speaker, and the founding Dean of School of Technology and Computer Science at the Tata Institute of Fundamental Research (TIFR). He has been a JC Bose National Fellow at TIFR and IIT Bombay, currently he is an INAE (Indian National Academy of Engineering) Distinguished Professor at the Department of Computer Science, IIT Bombay where he has been directing the Centre of Excellence for Blockchain Research sponsored by Ripple, at IIT Bombay. He is an Adjunct Professor, NITIE (now IIM Mumbai), Mumbai and a Distinguished Fellow at IDRBT, Hyderabad. He was awarded the 2014 SN Mitra award for excellence in research by the Indian National Academy of Engineering. Since 2015, he holds the distinguished position of Scholar-in-Residence at IIT Jodhpur and is a Distinguished Fellow at the Institute of Development and Research for Banking Technology (IDRBT). He was recently awarded the 2023 UBRI (University Blockchain Research Initiative from Ripple Inc) Educator Award in Toronto and the 2024 Outstanding Research Award from IFIP WG11.3 at DBSEC2024 in San Jose. He has more than 300 peer reviewed publications in Journals and proceedings, 8 patents, 8 books and guided more than 40 PhD students. He has been a visiting faculty at UIUC, UCSD at LA Jolla, IBM Research, Max Planck Inst, Japan Advanced Institute of Science and Technology (JAIST), Ericsson Fellow at University of Linkoping. He had also been an Adjunct Faculty at School of Computing at NUS, Singapore, had been invited Professor at the Technological University of St Petersburg, Russia, and Distinguished Fellow of the UK Royal Academy of Engineering at the Computer Group, University of Cambridge as well as City University of London. He also serves as an Adjunct Professor at IIM Mumbai. He has also been recently honoured with a Fellowship from British Blockchain Association (BBS). He is a Fellow of Indian Academy of Sciences, Indian National Science Academy, National Academy of Sciences, National Academy of Engineering, India and a Fellow of the Academy of Sciences of the Developing world (TWAS), Trieste, Italy. He has also been recently conferred the Fellowship from the Asia-Pacific Artificial Intelligence Association (AAIA), Singapore. He has/had been on the Governing Council of IIIT Allahabad, Indian Institute of Information Technology and Design Manufacturing at Jabalpur, CSIR-CMMACS (renamed CSIR Fourth Paradigm Institute) at Bangalore, Advisor for the COE of Union Bank of India. He serves on various DST, MEITY, SERB, UGC, AICTE, committees, and has been serving as WG member for Cyber Security at MEITY. He also serves/served on the research advisory boards of BSE and IDRBT and serves on the Board of Studies in computer science for various Universities. He served/serves on the IEEE Fellow selection committee on Product safety. He is also a recipient of Diamond Jubilee medal from IETE and also its’ Fellow and was also Chair of IEEE Computer Society section of Mumbai region between 2021-2022. He has served on IEEE Esterel Standards Committee. He is serving as Editor-in-Chief for Sadhana- Journal of Engineering Sciences of the Indian Academy of Sciences for Computing and Data Sciences, Subject-Area Editor for IET Blockchain Journal McGraw Hill, and serves on the Editorial board of Journal of Parallel and Distributed Computing. https://images.squarespace-cdn.com/content/v1/603374a667c0d20c6f2418c2/85347dc9-05dc-4333-8a38-e9c141ccd8a8/Kejiang+Ye.jpg Advance Program - Abstract: Efficiently serving large-scale deep learning workloads, particularly large language models (LLMs) and inference services, remains a critical challenge in modern cloud clusters. These systems face two key problems: (1) underutilization of over-provisioned GPUs due to strict latency guarantees, and (2) dynamic request patterns and resource fragmentation in serverless environments. To address these issues, we present Mudi (EuroSys 2025) and FlexPipe (EuroSys 2026), two complementary systems that optimize GPU resource usage across inference and training workloads. Evaluation on real GPU cluster show the proposed methods achieve better resource efficiency as compared to state-of-the-art systems. About the Speaker Kejiang Ye is currently a Professor and the Director of the Research Center for Cloud Computing, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences. He received his B.S and Ph.D degree both from Zhejiang University and was a Post Doctoral Research Associate at Carnegie Mellon University (CMU). His research interests include Cloud Computing, Big Data and Industrial Internet. He is a Senior Member of IEEE and a Distinguished Member of China Computer Federation (CCF). https://images.squarespace-cdn.com/content/v1/603374a667c0d20c6f2418c2/ffa0fb9e-822f-4bb0-937b-0230b3612ac8/Huawei+Huang.jpg Advance Program - Abstract: BrokerChain, a high-performance blockchain sharding protocol proposed by Prof. Huawei Huang's research group in 2022, addresses core challenges for blockchain sharding. In June 2025, his team launched BrokerChain’s testnet, which is a real-world example of public sharding blockchain. This testnet offers a research and development platform for academia and industry, supporting experiments in DeFi protocols, real-world assets (RWA) tokenization, and the integration between AI and Web3. Its core features include EVM compatibility, low gas fee consumption, high-efficiency intra-shard consensus, and user-friendly wallet software, significantly lowering barriers for developers and end-users. This talk delves into BrokerChain Testnet’s architectural design, technological innovations, and the findings through real-world running over the past few months. Through dual validation via technological innovation and ecosystem practice, BrokerChain testnet presents a comprehensive paradigm for the blockchain sharding, because its hierarchical consensus framework and native economic incentive mechanisms can provide insights for the development of Web3 infrastructure. About the Speaker Huawei Huang is a professor at Sun Yat-sen University, and a dual-appointment professor at the Hong Kong Advanced Research Institute (HKARI) of SYSU and at Lingnan College of SYSU. Since 2023, he has been consecutively recognized among the Top 2% Scientists Worldwide by Stanford University. His research interests include blockchain systems and protocols, blockchain finance, DeFi protocols, and Web3 infrastructure. He has published numerous research papers in CCF-A journals and conferences such as IEEE/ACM ToN, JSAC, TPDS, TSC, TDSC, TIFS, TMC, TC, and INFOCOM. He has served as chair for many academic conferences, workshops, and symposiums. He is the author of two blockchain monographs “From Blockchain to Web3 & Metaverse” and “Blockchain Scalability,” as well as a popular blockchain science book namely “From Blockchain to Web3: building the next-generation Internet”. Under his leadership, his team developed and open-sourced a blockchain experimental tool named BlockEmulator, which provides researchers with mature, high-quality experimental framework and code. BlockEmulator has served researchers ranging from over 90 countries and regions worldwide. https://images.squarespace-cdn.com/content/v1/603374a667c0d20c6f2418c2/d239a934-ff51-4a60-8608-d95053bfc152/Mengxing+Huang.jpg Advance Program - Abstract: Prostate cancer has a high global incidence rate and is one of the major malignant tumors threatening men's health, the incidence rate and mortality rate of prostate cancer in the world rank the 2nd and 5th among male cancers respectively. MRI is currently recognized as the best imaging examination technology for prostate cancer. So combining medical imaging with artificial intelligence to realize automatic and interactive diagnosis of prostate cancer, this application has significant application value for the world's medical development. The report elaborates on the research progress of key technologies such as multimodal MRI image registration, annotation, segmentation, localization, and grading, providing a full chain of artificial intelligence technology for intelligent assisted diagnosis of prostate cancer. Meanwhile, the future development and issues of intelligent assisted diagnosis technology for prostate cancer were discussed. About the Speaker Mengxing Huang is a professor at Hainan University, and an Outstanding Talent of Hainan Province, Hainan Province Nanhai Famous Expert, Outstanding Expert with Outstanding Contributions in Hainan Province, Chief Scientist of National Key R&D Program Project, Member of the Artificial Intelligence and Blockchain Expert Committee of the Science and Technology Commission of the Ministry of Education, Executive Director of the Graduate Education Branch of the China Electronics Education Society, Chairman of the Hainan Automation Society, Chairman of the Hainan Province Electronic Information Professional Teaching Guidance Committee, and Chairman of the Hainan Province Electronic Information Discipline Evaluation Group; Deputy Leader and Expert Group Leader of the Planning Leadership Group for the Hainan Social Management Informatization Platform; Member of the Standing Committee of the Intelligent Fusion Special Committee and the Intelligent Aerospace System Special Committee of the Chinese Artificial Intelligence Society, member of the Information System Special Committee of the Chinese Computer Society; Editorial board member of the Journal of Communications. His main research areas include big data and intelligent information processing, multi-source information perception and fusion, artificial intelligence and intelligent services, etc. In recent years, Mengxing Huang has published over 230 SCI papers as the first author and corresponding author in Science, IEEE Transactions, Neural Networks, and other fields (including 2 ESI hot papers and 7 highly cited papers); Obtained 109 national authorized invention patents, 96 software copyrights, 6 group standards, and 4 provincial and ministerial level scientific and technological awards, including 1 first prize and 1 second prize of Hainan Provincial Science and Technology Progress Award as the first author; Published 5 monographs and translated 2 books, Hosted and undertaken more than 30 scientific research projects at all levels. Selected for the top 2% of global scientists in 2024. https://www.servicessociety.org/scf2025proceedings daily 0.75 2026-01-25 https://images.squarespace-cdn.com/content/v1/603374a667c0d20c6f2418c2/1614322282957-7VNMOZ85K9A527S7CGFS/top-banner.jpg