Smart Computing Frontier (SCF 2026)
http://icws.org/2026 , August 22 - 25, 2026, Kuala Lumpur, Malaysia
Theme: Services Agents
SCF 2026 Advance Program
Invited Plenary Sessions
Keynote 1: From Digital Twins to Cognitive Twins: Closing the Metacognitive Loop in 6G and Beyond Wireless Systems
Sunday, August 23, 2026
8:50 - 9:40, UTC+8 Kuala Lumpur, Malaysia
Keynote Speaker: Prof. Ian F. Akyildiz, Technology Innovation Institute (TII)
Abstract: Future wireless systems are evolving beyond mere communication infrastructure toward AI-native cyber-physical ecosystems where sensing, computation, and control must operate as tightly coupled cognitive processes. Yet today's intelligence remains fragmented—prediction, reasoning, coordination, and adaptation evolve independently across protocol layers, limiting truly autonomous network operation.
In this keynote, we present COGENT (Cognitive Agents for Collaborative Intent), a hierarchical cognitive architecture that fundamentally reimagines how we organize network intelligence. COGENT introduces five cooperating cognitive agents—VANTAGE for predictive world modeling, STRATEGIST for intent reasoning, CONDUCTOR for distributed coordination, REFLEX for real-time adaptation, and WEAVER for supervisory learning—each operating at its natural temporal scale while maintaining hierarchy-wide consistency through abstract cognitive representations and constraint propagation.
Through comprehensive evaluations under dense terrestrial wireless scenarios, we will demonstrate how this hierarchical organization achieves consistent improvements in packet delivery ratio, end-to-end latency, handover robustness, energy efficiency, and adaptation capability compared to conventional AI-enabled, intent-driven, and cooperative learning baselines. Critically, COGENT enables localized autonomy while preserving global coherence, naturally aligning with programmable infrastructures like O-RAN and cloud-native platforms.
We will also address open challenges including theoretical convergence guarantees, trustworthy cognitive operation under adversarial conditions, and scaling hierarchical cognition to massive IoT and cyber-physical ecosystems. The talk concludes with a vision for how hierarchical cognitive control constitutes the architectural foundation for truly autonomous beyond-6G wireless systems where networks no longer react to events but proactively anticipate, reason, and adapt as coherent cognitive entities.
About the Speaker
Ian F. Akyildiz received the B.S., M.S., and Ph.D. degrees in electrical and computer engineering from the University of Erlangen-Nürnberg, Germany, in 1978, 1981, and 1984, respectively. He is currently the President and CTO of Truva Inc., a position he has held since 1989, and the CTO and Co-Founder of Quantum Algae, BioTech Labs, established in 2025. He has been a Distinguished Professor at the University of Iceland since 2020 and the Founding Editor-in-Chief of the ITU Journal on Future and Evolving Technologies since 2020. He also serves as an Advisory Board Member of the Technology Innovation Institute (TII), a research center in Abu Dhabi, United Arab Emirates. He served for 35 years at the Georgia Institute of Technology, where he held the Ken Byers Chair Professorship in Telecommunications and was the Director of the Broadband Wireless Networking Laboratory. Dr. Akyildiz is a pioneer in wireless sensor networks, nanonetworking, terahertz communication, molecular communication, and underwater networks. He has authored over 156,000 total citations with an H-index of 146. He is a Fellow of the IEEE and the ACM, and a recipient of numerous prestigious awards, including the IEEE Computer Society W. Wallace McDowell Award, the IEEE Harry M. Goode Memorial Award, and the ACM SIGMOBILE Outstanding Contribution Award, among many others. His current research interests include the Internet of Algae, Cognitive AI Systems, 6G/7G wireless systems, terahertz communication, reconfigurable intelligent surfaces, nanonetworks, molecular communication, and the Metaverse.
Keynote 2: Embracing the Low Altitude Economy: The Empowering Role of AI
Sunday, August 23, 2026
9:50 - 10:50, UTC+8 Kuala Lumpur, Malaysia
Keynote Speaker: Prof. Kejiang Ye, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences
Abstract: The low-altitude economy has become one of the fastest-growing strategic emerging industries in the global spatial economy. Global industry analysis predicts that the overall low-altitude industrial ecosystem will sustain sustained and explosive growth, with the core urban air mobility market alone projected to achieve a trillion-dollar market scale before 2040, forming a new growth pole for the future digital economy and smart urban construction. Artificial intelligence, especially large language model (LLM) technologies, has demonstrated outstanding capabilities in semantic understanding, multi-dimensional reasoning, and complex task scheduling, providing unprecedented technical support for the intelligent upgrading of low-altitude systems. Nevertheless, the current low-altitude intelligent computing system globally is still in the initial exploratory stage, facing a series of challenges such as data, models, algorithms, systems, and computing power, restricting the large-scale commercial implementation of low-altitude economic scenarios.
This talk focuses on the AI empowerment of low-altitude economy, systematically analyzing the industrial development status, core pain points and technical challenges of low-altitude intelligent computing. It further introduces a cutting-edge project focusing on LLM-driven low-altitude intelligent computing theories and methodologies. The project innovatively integrates large model technologies with low-altitude business scenarios, carrying out in-depth research on key links including multi-source data fusion, real-time state perception, dynamic task scheduling, intelligent resource allocation and collaborative planning decision-making. In addition, this talk presents the latest research progress and practical achievements of the team, including the Yunyuan Low-Altitude Large Model and its verified application effects in typical low-altitude scenarios, providing new technical ideas and practical references for the intelligent, efficient and safe development of the global low-altitude economy.
About the Speaker
Kejiang Ye is a Professor and the Director of the Research Center for Cloud Computing at the Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences. He received his PhD degree in Computer Science from Zhejiang University and was a joint PhD student at the University of Sydney, funded by a joint doctoral program. He conducted postdoctoral research at Carnegie Mellon University. Dr. Ye currently leads multiple key research projects, including two national key R&D programs, three NSFC projects, and over twenty provincial and municipal research grants. His research focuses on Cloud and AI systems. He has authored over 200 papers in top-tier conferences and journals such as EuroSys, ISCA, ASPLOS, SC, SIGCOMM, TOCS, and TC, earning seven best paper awards. He holds more than 100 authorized patents across China, the United States, Australia, and Canada. Dr. Ye is a Distinguished Member of the China Computer Federation (CCF) and is Senior Member of IEEE. His academic honors include the First Prize of Science and Technology Progress from the Chinese Institute of Electronics, CCF Outstanding Young Scholar Award in Service Computing, Outstanding Young Scientist Award of CAS Guangzhou Branch, the 2011 ACM SoCC Best Paper Award, and the 2022 Alibaba Outstanding Academic Cooperation Award.
Keynote 3: Blockchain x AI – How do they empower each other?
Monday, August 24, 2026
9:30 - 10:30, UTC+8 Kuala Lumpur, Malaysia
Keynote Speaker: Prof. Shiping Chen, CSIRO Data61 & UNSW
Abstract: Blockchain and AI (Artificial Intelligence) are two transformative technologies. While Blockchain provides a decentralised trust layer, AI delivers intelligence at scale through automation and adaptive decision-making. This presentation shares the intersection work of both technologies: BC4AI, where blockchain governs AI model lifecycles, enforces data licensing, and enables trustworthy federated learning; and AI4BC, where large language models detect smart contract vulnerabilities and automate legally compliant contract generation. Together, these directions point toward new research in verifiable AI, decentralised compute, and responsible governance.
About the Speaker
Dr Shiping Chen is a Senior Principal Research Scientist at CSIRO and an Adjunct Professor at UNSW and the University of Technology, Sydney (UTS). His research focuses on distributed systems, including Blockchain and AI-driven systems. He has co-authored 300+ publications in these areas and has contributed to major blockchain interoperability initiatives, including the IETF RFC on the Secure Asset Transfer Protocol (SATP) and Ethereum ERC standards (ERC-5521, ERC-7634 and ERC-8034). His work spans both academia and industry, with applications in digital finance, supply chains, cybersecurity, and Web3 infrastructure. He regularly serves in leadership roles for major IEEE and Blockchain conferences (ICBC, ICWS, Metaverse). He is a senior member of IEEE and a fellow of the IET.
Keynote 4: Unified Approach of Graph Computing
Monday, August 24, 2026
10:40 - 11:40, UTC+8 Kuala Lumpur, Malaysia
Keynote Speaker: Prof. Hai Jin, Huazhong University of Science and Technology
Abstract: Graph computing has become a fundamental paradigm for modeling complex relational data, supporting applications from large-scale analytics to modern AI. However, it remains fragmented across diverse paradigms, such as traversal, mining, learning, and querying, leading to challenges in programmability, efficiency, and scalability under extreme sparsity. This talk presents a unified approach based on an abstraction-first, hardware–software co-design methodology.
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 coauthored 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.
Advance Program (version 20260822) — Download