BDPC 2025 Speakers

Prof. Rajkumar BuyyaDirector, Cloud Computing and Distributed Systems (CLOUDS) Lab,
The University of Melbourne, Australia
CEO, Manjrasoft Pvt Ltd, Melbourne, Australia

Dr. Rajkumar Buyya is a Redmond Barry Distinguished Professor and Director of the Quantum Cloud Computing and Distributed Systems (qCLOUDS) Laboratory at the University of Melbourne, Australia. He is also serving as the founding CEO of Manjrasoft, a spin-off company of the University, commercializing its innovations in Cloud Computing. He has authored over 850 publications and seven textbooks including "Mastering Cloud Computing" published by McGraw Hill, China Machine Press, and Morgan Kaufmann for Indian, Chinese and international markets respectively. Dr. Buyya is one of the highly cited authors in computer science and software engineering worldwide (h-index=172, g-index=380, i10-index=810, and 157,700+ citations). A bibliometric study by Stanford University and Elsevier since 2019 (for six consecutive years), Dr. Buyya is recognized as the Highest-Cited author in the Distributed Computing field worldwide. He graduated 60 PhD students who are working in world-leading research universities and high-tech companies such as Microsoft, Google, and IBM. He has been recognised as IEEE Fellow, a "Web of Science Highly Cited Researcher" for seven times since 2016, the "Best of the World" twice for research fields (in Computing Systems in 2019/2024 and Software Systems in 2021/2022/2023) as well as "Lifetime Achiever" and "Superstar of Research" in "Engineering and Computer Science" discipline twice (2019 and 2021) by the Australian Research Review.

Software technologies for Grid, Cloud, Fog, Quantum computing developed under Dr.Buyya's leadership have gained rapid acceptance and are in use at several academic institutions and commercial enterprises in 50+ countries around the world. Manjrasoft's Aneka Cloud technology developed under his leadership has received "Frost New Product Innovation Award". He served as founding Editor-in-Chief of the IEEE Transactions on Cloud Computing. He is currently serving as Editor-in-Chief of Software: Practice and Experience, a long-standing journal in the field established in 1970. He has presented over 750 invited talks (keynotes, tutorials, and seminars) on his vision on IT Futures, Advanced Computing technologies, and Spiritual Science at international conferences and institutions in Asia, Australia, Europe, North America, and South America. He has recently been recognized as a Fellow of the Academy of Europe. For further information on Dr.Buyya, please visit his cyberhome: www.buyya.com

Speech Title: Neoteric Frontiers in Cloud and Quantum Computing

The twenty-first-century digital infrastructure and applications are driven by Cloud computing and Internet of Things (IoT) paradigms. The Cloud computing paradigm has been transforming computing into the 5th utility wherein "computing utilities" are commoditized and delivered to consumers like traditional utilities such as water, electricity, gas, and telephony. It offers infrastructure, platform, and software as services, which are made available to consumers as subscription-oriented services on a pay-as-you-go basis over the Internet. Its use is growing exponentially with the continued development of new classes of applications such as AI-powered models (e.g., ChatGPT) and the mining of crypto currencies such as Bitcoins. To make Clouds pervasive, Cloud application platforms need to offer (1) APIs and tools for rapid creation of scalable and elastic applications and (2) a runtime system for deployment of applications on geographically distributed Data Centre infrastructures (with Quantum computing nodes) in a seamless manner.
This keynote presentation will cover (a) 21st century vision of computing and identifies various emerging IT paradigms that make it easy to realize the vision of computing utilities; (b) innovative architecture for creating elastic Clouds integrating edge resources and managed Clouds, (c) Aneka 6G, a 6th generation Cloud Application Platform, for rapid development of Big Data/AI applications and their deployment on private/public Clouds driven by user requirements,  (d) experimental results on deploying Big Data/IoT applications in engineering, health care (e.g., COVID-19), deep learning/Artificial intelligence (AI), satellite image processing, and natural language processing (mining COVID-19 literature for new insights) on elastic Clouds, (e) QFaaS: A Serverless Function-as-a-Service Framework for Quantum Computing, and (f) new directions for emerging research in Cloud and Quantum computing.

 

 

Prof. Zheyi Chen, Assistant Dean, College of Computer and Data Science
Deputy Director, Fujian Key Laboratory of Network Computing and Intelligent Information Processing
Fuzhou University, China

Dr. Zheyi Chen is a Professor and Assistant Dean of the College of Computer and Data Science at the Fuzhou University, China. He received his Ph.D. degree in Computer Science from the University of Exeter, UK, in 2021, and his M.Sc. degree in Computer Science and Technology from the Tsinghua University, China, in 2017, respectively. His research interests include cloud-edge computing, resource optimization, deep learning, and reinforcement learning. His recent research has been supported by the National Natural Science Foundation of China, European Horizon, and industrial partners. Dr. Chen has published more than 40 research papers in leading international journals and conferences such as IEEE TPDS, IEEE JSAC, IEEE TMC, IEEE/ACM ToN, IEEE INFOCOM, and ACM SIGKDD. He is the Editorial Board or Guest Editor of several international journals such as Cluster Computing, CMC, and Mathematics. He served as the Program Chair of CIT’24. Dr. Chen is the World’s Top 2% Scientists released by Stanford University and Elsevier. He was the recipient of the First-class Prize for Fujian Provincial Scientific and Technological Progress in 2021 and the Second-class Prize for CCF technology invention in 2024, respectively.

 

Zhe Sun, Guangzhou University, China

Zhe Sun is an associate professor at the Cyberspace Institute of Advanced Technology, Guangzhou University in China. He earned his B.S. degree from Dalian University of Technology in 2010, followed by an M.S. degree from the University of Science and Technology of China in 2012, and finally a Ph.D. degree from the University of Chinese Academy of Sciences in 2019. In recognition of his exceptional achievements, Zhe Sun was awarded the prestigious President's Award by the Chinese Academy of Sciences in 2019. Moreover, he serves as a committee member of the Big Data Security and Privacy Computing Committee within the Chinese Association for Chinese Information Society. He has authored over 40 publications in international conferences and journals, focusing on privacy-preserving mechanisms for multiparty data sharing and deep learning.

Speech Title: A Blockchain-Based Privacy-Preserving Framework for Cross-domain Data Sharing

Abstract: The expansion of cross-domain data sharing has amplified privacy vulnerabilities, as traditional centralized systems lack mechanisms to enforce consistent governance over disseminated resources. This paper introduces Go-Sharing, a blockchain-based framework designed to safeguard privacy in cross-domain data sharing. By leveraging decentralized smart contracts, Go-Sharing establishes a universal dissemination tree for each data asset, ensuring traceable ownership and granular control across heterogeneous platforms. The tree structure, anchored at the original data source, dynamically incorporates subsequent sharers as hierarchical nodes, enabling persistent policy enforcement and auditability. A dynamic privacy policy generation algorithm resolves conflicts among stakeholders by iteratively refining policies through set-theoretic intersections along dissemination paths, harmonizing flexibility with compliance. To combat adversarial tampering, the framework integrates a robust ownership identification scheme using a Two-Stage Separable Deep Learning (TSDL) model augmented by a random noise black box, enhancing resilience against data manipulations. Evaluations involving 533 participants and cross-domain simulations demonstrate Go-Sharing’s efficacy: it achieves 95.3% accuracy in ownership verification under multi-noise attacks, sustains 1,740 transactions per second under peak load, and reduces policy conflicts by 27.6% compared to centralized baselines. These results underscore Go-Sharing’s ability to unify decentralized governance, privacy preservation, and scalability in cross-domain ecosystems. Future work will extend the framework to address multi-modal data ownership and integrate ethical decision-support tools for collaborative sharing.