Description: Description: C:\data\jchen\swinflow.org\~jchen\Website\images\image002.jpg

Professor Jinjun Chen (PhD)

Deputy Director - Swinburne Data Science Research Institute

Department of Computer Science and Software Engineering       
Swinburne University of Technology
PO Box 218, Hawthorn VIC 3122,
Australia

 

Email

jchen@swin.edu.au

Phone

+61 3 9214 4685

Office

EN506a

URL

http://www.swinflow.org/jchen


What's New

 

·     Multiple Full PhD scholarships (tuition fee waive + stipend) are available in 2020. Interesting areas can be privacy protection, differential privacy, blockchain, scalable data processing on cloud, near data processing, and etc. Please email me with your CV. RA positions are also available.

·     M. Hassan, M. Rehmani, and J. Chen, DEAL: Differentially Private Auction for Blockchain based Microgrids Energy Trading, IEEE Transactions on Services Computing, 13(2):  263-275, 2020. [Ref Link] or [Download].

·     M. Hassan, M. Rehmani, and J. Chen, Differential Privacy Techniques for Cyber Physical Systems: A Survey, IEEE Communications Surveys & Tutorials, 22(1): 746-789, 2020. [Ref Link] or [Download].

·     J. Feng, L. Yang, R. Zhang, W. Qiang, J. Chen. Privacy Preserving High-Order Bi-Lanczos in Cloud-Fog Computing for Industrial Applications, IEEE TII, 2020, DOI: 10.1109/TII.2020.2998086. [Ref Link] or [Download]

 

·     Australia’s Top Researchers 2020 (Computing Systems) – THE AUSTRALIAN: [Ref Link]

·     Associate Editor, IEEE Transactions on Computers (2020~)

·     Associate Editor, IEEE Transactions on Sustainable Computing (2020~)

·     ICDM 2020, November 17-20, 2020, Sorrento, Italy

 


Administrative and Community Services

 

·     Deputy Director, Swinburne Data Science Research Institute (2017~)

·     Associate Editor, IEEE Transactions on Computers (2020~)

·     Associate Editor, IEEE Transactions on Sustainable Computing (2020~)

·     Editor (Equivalent to Co Editor-in-Chief), Concurrency and Computatin: Practice and Experience (2019/2020~)

·     Associate Editor for ACM Computing Surveys (2015~)

·     Associate Editor for Journal of Computer and System Sciences (2013~)

·     Associate Editor for Knowledge and Information Systems (2019~)

·     Associate Editor for Ambient Intelligence and Humanized Computing (2020~)

 

·     Research Coordinator, School of Systems, Management and Leadership (SML), Faculty of EIT, UTS (2013~2015)

·     Member (Rep for School of SML), Research Degrees Committee of Faculty of EIT, UTS (2013~2015)

·     Director of Lab for Scalable Data Systems and Visual Analytics, UTS (2015~2016)

·     Associate Editor for IEEE Transactions on Knowledge and Data Engineering (2015~2019)

·     Associate Editor for IEEE Transactions on Cloud Computing (2015~2018)

·     Chair, IEEE Technical Committee on Scalable Computing (IEEE TCSC) (2014~2017)

·     Vice Chair, IEEE Technical Committee on Scalable Computing (IEEE TCSC) (2012~2013)

·     Member, Core Executive Committee of IEEE Technical Committee on Scalable Computing (IEEE TCSC) (2008~2011)

 


Academic Qualifications

 

·     Doctor of Philosophy (Ph.D.) (SUT)

·     Master of Engineering (M. Eng.) in Communication and Information Systems (XiDian)

·     Bachelor of Science (B. Sci.) in Applied Mathematics (XiDian)

·     Graduate Certificate in Learning and Teaching (Higher Education) (Swinburne)

 


Research Membership

 

·     Senior Member of IEEE and IEEE Computer Society

·     Member of ACM and SIGKDD

·     Swinburne Data Science Research Institute

 


Research Interests

 

·     Cloud Computing, Data Systems, Big Data

·     Data Privacy and Computing (Cloud, Blockchain, PPML)

·     Scalable and Efficient Data Processing

 


Honors, Scholarships and Awards

 

·     Australia’s Top Researchers 2020 (Computing Systems) – THE AUSTRALIAN: [Ref Link]

·     Australia’s Top Researchers 2019 (Theoretical Computer Science) – THE AUSTRALIAN: Media Announcement | Screen Shot.

·     Editorial Excellence and Eminence Award, IEEE Transactions on Cloud Computing, Dec 2018.

·     UTS Chancellor’s Award for Most Outstanding PhD Thesis (2015), to my PhD student (extremely competitive, only one across university)

·     UTS Faculty of EIT publication awards ( 2 PhD students for 2016; 1 for 2015; 2 for 2014)

·     Vice-Chancellor's Awards for Research Excellence Highly Commended (2014), University of Technology Sydney, Australia

·     Vice-Chancellor's Awards for Research Excellence Finalist (2013), University of Technology Sydney, Australia

·     Vice-Chancellor’s Research Award (2008), Swinburne University of Technology.

·     IEEE Computer Society Outstanding Leadership Award (2010-2011).

·     IEEE Computer Society Outstanding Leadership Award (2008-2009).

·     Chinese Government Award for Outstanding Self-Financed Students Abroad to my PhD students (2012, 2010 and 2009).

·     Highly Commended Research Poster (titled "Noise based Privacy Protection Strategy in Cloud"), to my PhD student, 2010 ARC EII PhD School.

·     Research Thesis Excellence Award (2007), Faculty of ICT, Swinburne University of Technology.

 


Research Grants and Sponsorships

 

·     ARC LP190100395 (Lead CI, AUD$450,000, 2019-2022), Jinjun Chen and others, Towards full lifecycle privacy protection on cloud. Australian Research Council (ARC) Linkage Project (LP).

·     ARC DP190101893 (Lead CI, AUD$420,000, 2019-2021), Jinjun Chen and Xindong Wu, Effective and efficient protection of personal privacy in big personal data on cloud, Australian Research Council (ARC) Discovery Project (DP).

·     ARC LP180100758 (Lead CI, AUD$540,000, 2019-2022), Jinjun Chen, X He, Secure and efficient data leak prevention on cloud, $540,000 from the ARC plus industry cash contribution, Australian Research Council (ARC) Linkage Project (LP).

·     ARC DP170100136 (Lead CI, AUD$400,500, 2017-2019), Jinjun Chen and Jian Pei, BigPrivacy: Scaling privacy preservation for big data applications on cloud, Australian Research Council (ARC) Discovery Project (DP).

·     ARC LP140100816 (Lead CI, AUD$300,000, 2014-2017), Jinjun Chen, Yang Xiang, Ramamohanarao Kotagiri, Jian Pei, C. Zhong, Cost efficient scheduling of big data application workflows on cloud through information correlation.

·     ARC DP110101340 (2011-2013, AUD$360,000) (with Prof. Yun Yang, Prof. John Grundy): Cost effective storage of massive intermediate data in cloud computing applications. Amount.

·     ARC LP0990393 (2009-2012, AUD$380,000) (with Prof. Yun Yang, Prof. Chengfei Liu, Prof. Ramamohanarao Kotagiri): Novel cloud computing based workflow technology for managing large numbers of process instance.

·     CSIRO Scholarship (2014-2017): "Innovative Techniques for Security and Privacy Aware Management of Big Data on Clouds". Amount: $75,000, plus $12,000 for operation.

·     CSIRO Scholarship (2013-2016): Fast Processing and Scheduling of Big Data with Cloud. Amount: $21000 cash in total plus $10,000 per year for operation.

·     CSIRO Scholarship (2012-2014): Cloud-based Large Scale Distributed Semantic Data Management with Security Awareness. Amount: $15,563 cash in total plus $10,000 per year for operation.

·     CSIRO Scholarship (2011-2013): "Cloud Data Storage Security and Privacy Issues". Amount: $20,000.

·     NICTA project (2016-2018, PhD stipend): "Cross-Domain Distributed Data Analytics". $78,684 in total for 3 years ($26288 per year).

·     NICTA project (2015-2016): "Continuous Deployment of Data Analytics Applications". Amount: $32,100  per year.

 

·     UTS FEIT ARC LP Seed Grant (2015): data intensive document management on cloud, A$10,000.

·     UTS Early Career Research Grant (2013-2014): Developing U-Privacy – A User Privacy Protection Framework on Cloud. Amount: A$10,000.

·     UTS FEIT ARC LP Seed Grant (2014): Towards efficient management of data intensive documents on cloud, A$4000.

·     UTS FEIT Research Seed Fund (2014): Ensuring Big Accounting Data Integrity on Cloud through Efficient Public Auditing, A$15,000.

·     UTS FEIT Industry and Innovation Project Scheme (2012-2013): On Big Data over Cloud: A cloud framework for domain enhanced video retargeting with spatial-temporal importance and 3D grid optimisation, Amount: A$10,000.

·     Swinburne Research Development Scheme (CS3) (2009): A Thorough Investigation into Platform Cloud Computing Software System for Integration of QoS-based Automatic Service Discovery and Composition. Amount: A$7,000.

·     Faculty of ICT Dean's Collaborative Grants Scheme (2007-2008): Radio Astronomy on the Grid (CI, with Dr. Willem van Straten, Prof. Matthew Bailes, Prof. Ryszard Kowalczyk and Prof. Yun Yang). Amount: A $44,000.

·     Swinburne Research Development Scheme (2008): Modelling temporal-verification-aware Grid Workflows. Amount: A$28,000.

·     Swinburne ARC near miss incentive (2008). Amount: A$28,000.

·     CITR (Centre for Information Technology Research, Swinburne Tier 1 Centre) ECR Start-up (2008). Amount: A$5000.

·     Faculty of ICT grant proposal incentive (2008). Amount: A$4000.

·     Swinburne grant proposal incentive (2008). Amount: A$8000.

 


Research Article Writing

 

General Guidelines

·     Good Writing Style (PDF)

 

Simulation as Evaluation

·     Good Writing Skill (PPT from Prof. Xiaohua Jia)

·     An Example Article (PDF)

 

Case Study as Evaluation

·     Case Study Template (PDF)

·     An Example Article (PDF)

 


Selected Publications

 

Books Authored    

·    D. Yuan, Y. Yang and J. Chen, Computation and Storage in the Cloud: Understanding the Trade Offs. Elsevier, 128 pages, 2013. (ISBN: 978-0-12-407767-6).

·    X. Liu, J. Chen and Y. Yang, Temporal QoS Management in Scientific Cloud Workflow Systems, Elsevier, 154 pages, 2012. (ISBN: 978-0-12-397010-7).

·    X. Liu, D. Yuan, G. Zhang, W. Li, D. Cao, Q. He, J. Chen and Y. Yang, The Design of Cloud Workflow Systems, Springer, 97 pages, 2012. (ISBN: 978-1-4614-1933-4).

·    J. Chen and Y. Yang, Effective and Efficient Temporal Verification in Grid Workflow - Enabling Timely Completion of Grid Workflow, Lambert Academic Publishing, Germany, 162 pages, 2011. (ISBN: 9783844315479).

·    H. Zhang, J. Chen and Z. Huang, Handbook of Premises Distribution System. 198 pages, August 2006. (ISBN: 7111196686).

 

Books Edited

·    L. Wang, R. Ranjan, J. Chen, B. Benatallah, Editors, Cloud Computing: Methodology, System, and Applications. CRC, Taylor & Francis Group, 2011. (ISBN: 9781439856413).

·    J. Cao, M. Li, M. Wu and J. Chen, Editors, Network and Parallel Computing. Lecture Notes in Computer Science, Springer-Verlag, Volume 5245, 2008. (ISBN: 9783540881391).

·    L. Wang and J. Chen and W. Jie, Editors, Quantitative Quality of Service for Grid Computing: Applications for Heterogeneity, Large-Scale Distribution and Dynamic Environments. IGI Global, 528 pages, May 2009. (ISBN: 9781605663708).

·    L. Wang, W. Jie and J. Chen, Editors, Grid Computing: Infrastructure, Service and Applications, CRC Press, 521 pages, 2009. (ISBN: 9781420067668).

 

Book Chapters

·     Refer to DBLP or Google Scholar from 2020............

·    D. Puthal, R. Ranjan, and J. Chen, Big Data Stream Security Classification for IoT Applications, Encyclopedia of Big Data Technologie, in press, 2018.

·    C. Yang and J. Chen, Efficient Non-linear Regression based Compression of Big Sensing Data on Cloud, Big Data Analytics for Sensor-Network Collected Intelligence, Elsevier, 2017, ISBN: 9780128093931.

·    C. Liu, R. Ranjan, X. Zhang, C. Yang, J. Chen, A Big Picture of Integrity Verification of Big Data in Cloud Computing, Handbook on Data Centers, Springer, pp. 631-645, 2015, Print ISBN: 978-1-4939-2091-4.

·    F. Lu, K. Ren, J. Song and J. Chen, Scalable Computing on Large Heterogeneous CPU/GPU Supercomputers, Samee U. Khan, Albert Y. Zomaya, and Lizhe Wang (ed.), Scalable Computing and Communications: Theory and Practice, pp.81-96, John Wiley & Sons, 2013, ISBN: 978-1-1181-6265-1.

·    D. Yuan, Y. Yang, X. Liu, J. Chen, Computation and Storage Trade-Off for Cost-Effectively Storing Scientific Datasets in the Cloud. Handbook of Data Intensive Computing, Chapter 5, pp.129-153, Springer, ISBN: 978-1-4614-1414-8, 2011.

·    H. Liu, K. Ren, W. Zhang, J. Chen, Risk-driven Selection Approach for Transactional Services Composition, Syed Ahson and Mohammad Ilyas (ed.), Cloud Computing and Software Services: Theory and Techniques, pp.409-419, CRC Press Taylor and Francis, ISBN: 9781439803158, July 2010.

·    X. Liu, D. Yuan, G. Zhang, J. Chen and Y. Yang, SwinDeW-C: A Peer-to-Peer Based Cloud Workflow System, Borko Furht and Armando Escalante (ed.), Handbook of Cloud Computing, pp.309-332, Springer, ISBN: 978-1-4419-6523-3, 2010.

·    J. Chen and Y. Yang, Grid and Workflows, Ling Liu and M. Tamer Özsu (ed.), Encyclopedia of Database Systems, Springer, ISBN: 978-0-387-35544-3, 2009.

·    C. Yang and J. Chen, A Datastream View for Scientific Workflow, L. Wang, W. Jie, J. Chen (ed.), Grid Computing: Infrastructure, Service and Applications, CRC Press, Taylor & Francis Group, ISBN: 978-1-4200-6766-8, pp. 223-251, 2009.

·    K. Ren, J. Chen, N. Xiao, W. Zhang and J. Song, A QSQL-based Service Collaboration Method for Automatic Service Composition and Optimized Execution, L. Wang, J. Chen, W. Jie (ed.), Quantitative Quality of Service for Grid Computing: Applications for Heterogeneity, Large-Scale Distribution and Dynamic Environments, IGI Global, ISBN: 978-1-60566-370-8, pp. 249-270, 2009.

·    W. Dou and J. Chen, Scientific Workflow Scheduling with Time-Related QoS Evaluation, Kuanching Li, C.H. Hsu, Laurence Yang, Jack Dongarra, Hans Zima (ed.), The Handbook of Research on Scalable Computing Technologies, IGI Global, ISBN: 978-1-60566-661-7, pp. 396-419, 2009.

 

Journals (Selected)

·     Refer to DBLP or Google Scholar from 2020............

·     M. Usman, M. Jan, X. He and J. Chen, A Privacy-Preserving-based Data Collection and Analysis Framework for IoMT Applications, IEEE Journal on Selected Areas in Communications, in press, 2019.

·     C. Liu, L. Zhu, X. He and J. Chen, Enabling Privacy-Preserving Shortest Distance Queries on Encrypted Graph Data, IEEE Transactions on Dependable and Secure Computing, in press, 2019.

·     M. Usman, M. Jan, X. He and J. Chen, A Survey on Representation Learning Efforts in Cybersecurity Domain, ACM Computing Surveys, in press, 2019.

·     J. Feng, L. Yang, Q. Zhu, Y. Xiang, J. Chen, Z. Yan, Secure Outsourced Principal Eigentensor Computation for Cyber-Physical-Social Systems, IEEE Transactions on Sustainable Computing, in press, 2019.

·     M. Usman, M. Jan, X. He and J. Chen, A Survey on Big Multimedia Data Processing and Management in Smart Cities, ACM Computing Surveys, in press, 2019.

·     M. Hassan, M. Rehmani and J. Chen, Privacy Preservation in Blockchain Based IoT Systems: Integration Issues, Prospects, Challenges, and Future Research Directions, Future Generation Computer Systems, in press, 2019.

·     C. Yang, X. Xu, R. Kotagiri and J. Chen, A Scalable Multi-Data Sources based Recursive Approximation Approach for Fast Error Recovery in Big Sensing Data on Cloud, IEEE Transactions on Knowledge and Data Engineering, in press, 2019.

·     F. Li, Z. Li, W. Han, T. Wu, L. Chen, Y. Guo and J. Chen, Cyberspace-Oriented Access Control: A Cyberspace Characteristics based Model and its Policies, IEEE Internet of Things Journal, in press, 2019.

·     Y. Li, B. Song and J. Chen, Image Encryption Based on a Single-round Dictionary and Chaotic Sequences in Cloud Computing, Concurrency and Computation: Practice and Experience, in press, 2019.

·     J. He, J. Chen, et al., J. Zhang, et al., Polynomial-time Algorithm for Simple Undirected Graph Isomorphism, Concurrency and Computation Practice and Experience, in press, 2019.

·     M. Liu, Z. Xue, X. Xu, C. Zhong and J. Chen, Host-based Intrusion Detection System with System Calls: Review and Future Trends, ACM Computing Surveys, 51(5), Article No. 98, 2019.

·     Z. Cui, F. Xue, Y. Cao, X. Cai, G. Wang, J. Cai and J. Chen, Detection of Malicious Code Variants Based on Deep Learning, IEEE Transactions on Industrial Informatics, 14(7): 3187–3196, 2018.

·     D. Zhang, W. Yan, E. Bugingo, W. Zheng and J. Chen, A Benchmark Approach and its Toolkit for Online Scheduling of Multiple Deadline-constrained Workflows in Big-data Processing Systems, Future Generation Computer Systems, 85: 222-234, 2018.

·     C. Yang and J. Chen, A Scalable Data Chunk Similarity based Compression Approach for Efficient Big Sensing Data Processing on Cloud, IEEE Transactions on Knowledge and Data Engineering, 29(6): 1144-1157, 2017.

·     Z. Cui, Y. Cao, X. Cai, J. Cai and J. Chen. Optimal LEACH protocol with modified bat algorithm for big data sensing systems in Internet of Things, Journal of Parallel and Distributed Computing, in press, 2017.

·     Y. Wen, W. Dou, J. Liu, X. Xu, B. Cao and J. Chen, Scheduling Workflows with Privacy Protection Constraints for Big Data Applications on Cloud, Future Generation Computer Systems, in press, 2018.

·     L. Kuang, L. Yang, Q. Zhu and J. Chen, Secure Tensor Decomposition for Big Data, IEEE Transactions on Computers, in press, 2018.

·     L. Qi, X. Zhang, W. Dou, C. Hu, C. Yang and J. Chen, A Two-stage Locality-Sensitive Hashing based Approach for Privacy-preserving Mobile Service Recommendation in Cross-platform Edge Environment, Future Generation Computer Systems, 88: 636-643, 2018.

·     W. Zheng, Y. Qin, E. Bugingo, D. Zhang and J. Chen. Cost optimization for deadline-aware scheduling of big-data processing jobs on clouds, Future Generation Computer Systems, in press, 2017.

·     J. Feng, L. Yang, G. Dai, Z. Yan and J. Chen, An Improved Secure High-Order-Lanczos Based Orthogonal Tensor SVD for Cyber-Physical-Social Big Data Reduction, IEEE Transactions on Big Data, in press, 2017.

·     D. Puthal, X. Wu, S. Nepal, R. Ranjan and J. Chen, SEEN: A Selective Encryption Method to Ensure Confidentiality for Big Sensing Data Streams, IEEE Transactions on Big Data, in press, 2017.

·     C. Liu, L. Zhu and J. Chen, Graph Encryption for Top-K Nearest Keyword Search Queries on Cloud, IEEE Transactions on Sustainable Computing, 2(4): 371-381, 2017.

·     G. Wang, X. Cai, Z. Cui and J. Chen, High Performance Computing for Cyber Physical Social System by Using Evolutionary Multi-Objective Optimization Algorithm, IEEE Transactions on Emerging Topics in Computing, in press, 2017.

·     D. Puthal, S. Nepal, R. Ranjan and J. Chen, A Dynamic Prime Number Based Efficient Security Mechanism for Big Sensing Data Streams, Journal of Computer and System Sciences, 83(1): 22-42, 2017.

·     D. Puthal, S. Nepal, R. Ranjan and J. Chen. DLSeF: A Dynamic Key Length Based Efficient Real-Time Security Verification Model for Big Data Stream, ACM Transactions on Embedded Computing Systems, 16(2): Article No. 51, 2017.

·     W. Wang, P. Xu, L. Yang, W. Susilo and J. Chen, Securely Reinforcing Synchronization for Embedded Online Contests, ACM Transactions on Embedded Computing Systems, 16(2): Article No. 58, 2017.

·     X. Xu, W. Dou, X. Zhang, C. Hu and J. Chen, A Traffic Hotline Discovery Method over Cloud of Things Using Big Taxi GPS Data, Software: Practice and Experience, 47(3): 361–377, 2017.

·     C. Liu, L. Zhu and J. Chen, Efficient Searchable Symmetric Encryption for Storing Multiple Source Dynamic Social Data on Cloud, Journal of Network and Computer Applications, 86: 3-14, 2017.

·     M. Tang, X. Dai, J. Liu and J. Chen, Towards a Trust Evaluation Middleware for Cloud Service Selection, Future Generation Computer Systems, 74: 302–312, 2017.

·     T. Wu, W. Dou, F. Wu, S. Tang and J. Chen, A Deployment Optimization Scheme over Multimedia Big Data for Large-Scale Media Streaming Application, ACM Transactions on Multimedia Computing Communications and Applications, in press, 2016.

·     X. Xu, W. Dou, X. Zhang, J. Chen, EnReal: An Energy-Aware Resource Allocation Method for Scientific Workflow Executions in Cloud Environment, IEEE Transactions on Cloud Computing, 4(2): 166 – 179, 2016.

·     J. Ouyang, X. Wen, J. Liu and J. Chen, Robust hashing based on quaternion Zernike moments for image authentication, ACM Transactions on Multimedia Computing Communications and Applications, in press, accepted on 2 Feb 2016. [Big image data]

·     M. Usman, X. He, M. Xu, S.M. Bokhari, K.M. Lam and J. Chen, Frame Interpolation for Cloud-Based Mobile Video Streaming, IEEE Transactions on Multimedia, 18(5): 831839, 2016. [Big video data stream]

·     C. Liu, N. Beaugeard, C. Yang, X. Zhang and J. Chen, HKE-BC: Hierarchical Key Exchange for Secure Scheduling and Auditing of Big Data in Cloud Computing, Concurrency and Computation: Practice and Experience, 28(3): 646-660, 2016.

·     L. Qi, W. Dou and J. Chen, Weighted Principal Component Analysis-based Service Selection Method for Multimedia Services in Cloud Computing, Computing, Springer, 98(1-2): 195-214, 2016.

·     Z. Cui, B. Sun, G. Wang, Y. Xue, J. Chen A Novel Oriented cuckoo search algorithm to Improve DV-Hop Performance for Cyber-Physical Systems, Journal of Parallel and Distributed Computing, in press, accepted on 13 October 2016.

·     W. Wang, P. Xu, L. Yang and J. Chen, Cloud-Assisted Key Distribution in Batch for Secure Real-time Mobile Services, IEEE Transactions on Services Computing, in press, accepted on 8 July 2016.

·     D. Puthal, S Nepal, R Ranjan, J Chen, Threats to Networking Cloud and Edge Datacenters in the Internet of Things, IEEE Cloud Computing 3(3), 64-71, IEEE, 2016.

 

Conferences/Workshops

·     Refer to DBLP or Google Scholar from 2020............

·     M. Hassan, M. Rehmani, J. Chen, Differentially Private Dynamic Pricing for Efficient Demand Response in Smart Grid, ICC 2020-2020 IEEE International Conference on Communications (ICC), pp.1-6, 2020, Ireland.

·     F. Wang, Y. Wen, J. Chen and B. Cao, Integrating Collaborative Filtering and Association Rule Mining for Market basket Recommendation, The 19th International Conference on Web Information Systems Engineering (WISE 2018), pp. 19-34, 2018, Dubai, UAE.

·     X. Zhang, C. Leckie, W. Dou, J. Chen, R. Kotagiri, Z. Salcic, Scalable Local-Recoding Anonymization using Locality Sensitive Hashing for Big Data Privacy Preservation, The 25th ACM International Conference on Information and Knowledge Management (CIKM 2016), 24-28 Oct 2016, Indianapolis, USA.

·     C. Chen, J. Liu, Y. Wen, J. Chen and D. Zhou, A Hybrid Genetic Algorithm for Privacy and Cost Aware Scheduling of Data Intensive Workflow in Cloud, Proc. of 15th International Conference on Algorithms and Architectures for Parallel Processing (ICA3PP 2015), pp. 578-591, 2015.

·     D. Puthal, S. Nepal, R. Ranjan and J. Chen, DPBSV- An Efficient and Secure Scheme for Big Sensing Data Stream, Proc. of 14th IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom-15), pp. 246-253, , Finland, 2015.

·     D. Puthal, S. Nepal, C. Paris, R. Ranjan and J. Chen, Efficient Algorithms for Social Network Coverage and Reach, IEEE BigData Congress 2015, pp. 467-474, 2015.

·    C. Liu, L. Zhu and J. Chen, Efficient Searchable Symmetric Encryption for Storing Multiple Source Data on Cloud, Proc. of 14th IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom-15), pp. 451-458, Finland, 2015.

·     X. Zhang, C. Liu, S. Nepal, C. Yang, W. Dou and J. Chen, A Hybrid Approach for Sub-Tree Anonymization over Big Data using MapReduce on Cloud, Proc. of 12th IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom-13), Australia, 2013.

·     C. Liu, X. Zhang, C. Liu, Y. Yang, R. Ranjan and J. Chen, An Iterative Hierarchical Key Exchange Scheme for Secure Scheduling of Big Data Applications in Cloud Computing, Proc. of 12th IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom-13), Australia, 2013.

·     S. Zhang, W. Dou and J. Chen, Selecting Top-k Composite Web Services using Preference-aware Dominance Relationship, IEEE 20th International Conference on Web Services (ICWS2013), 2013, USA.

·     G. Zhang, Y. Yang and J. Chen, A Privacy-Leakage-Tolerance based Noise Enhancing Strategy for Privacy Protection in Cloud Computing, Proc. of 12th IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom-13), Australia, 2013.

·     G. Zhang, Y. Yang, X. Zhang, C. Liu and J. Chen, Key Research Issues for Privacy Protection and Preservation in Cloud Computing, The 2nd International Conference on Cloud and Green Computing (CGC 2012): pp.47-54, 2012.

·     G. Zhang, Y. Yang, X. Zhang, C. Liu and J. Chen, An Association Probability based Noise Generation Strategy for Privacy Protection in Cloud Computing. Proc. 10th International Conference on Service Oriented Computing (ICSoC2012), pp.639-647, 2012.

·     W. Li, Y. Yang, J. Chen and D. Yuan, A Cost-Effective Mechanism for Cloud Data Reliability Management based on Proactive Replica Checking. Proc. of 12th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid2012), pp. 564-571, Canada, 2012.

·     G. Zhang, Y. Yang, X. Liu and J. Chen, A Time-series Pattern based Noise Generation Strategy for Privacy Protection in Cloud Computing. Proc. of 12th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid2012), pp. 458-465, Canada, 2012.

·     X. Liu, Y. Yang, D. Cao, D. Yuan and J. Chen, Managing Large Numbers of Business Processes with Cloud Workflow Systems. Proc. of 10th Australasian Symposium on Parallel and Distributed Computing (AusPDC 2012), pp. 33-42, Australia, Jan-Feb, 2012.

·     C. Liu, C. Yang, X. Zhang and J. Chen, An Authenticated Key Exchange Scheme for Efficient Security-Aware Scheduling of Scientific Applications in Cloud Computing, Proc. of 2011 International Conference on Cloud and Green Computing (CGC2011), pp. 372-379, 2011, Australia.

·     X. Zhang, C. Liu, W. Dou and J. Chen, An Upper-bound Control Approach for Cost-effective Privacy Protection of Intermediate Dataset Storage in Cloud, Proc. of 2011 International Conference on Cloud and Green Computing (CGC2011), pp. 518-525, 2011, Australia.

·     K. Deng, K. Ren, J. Song, D. Yuan and J. Chen, Graph-Cut Based Coscheduling Strategy towards Efficient Execution of Scientific Workflows in Collaborative Cloud Environments, Proc. of The 12th IEEE/ACM International Conference on Grid Computing (GRID2011), pp. 34-41, France, 2011.

·     W. Dou, C. Lv, W. Lin, X. Zhang and J. Chen, A QoS-Aware Service Evaluation Method for Co-Selecting a Shared Service, Proc. of The 9th International Conference on Web Services (ICWS2011), pp. 145–152, USA, 2011.

·     W. Lin, W. Dou, X. Luo and J. Chen, A History Record-based Service Optimization Method for QoS-Aware Service Composition, Proc. of The 9th International Conference on Web Services (ICWS2011), pp. 666–673, USA, 2011.

·     D. Yuan, Y. Yang, X. Liu and J. Chen, A Local-Optimisation based Strategy for Cost-Effective Datasets Storage of Scientific Applications in the Cloud, Proc. of 4th IEEE International Conference on Cloud Computing (Cloud2011), pp. 179-186, USA, 2011.

 


In Press and News

·     Big Data Forum, The 3rd World Internet Conference (WIC), 16-18 Nov, 2016, Wuzhen.

·     Brink – The Sydney Morning Herald, “Silver lining to cloud of new data”, November 2015.

·     Media Interview: Big Data Shaping the Future of Retail, UTS Research Engage – Data Science, August 2015

·    Computing the cost of clouds. Education, The Age (by Geoff Maslen), 2 August 2011.

·    Research brings cloud computing costs back to earth, Swinburne Magazine (by Mandy Thoo), July 2011.

·    Here's the weather forecast: faster. IT Today, The Australian (by Jennifer Foreshew), Tuesday, 30 March 2010.

·    Continuous system check could release data-processing ‘brake’. Swinburne Magazine (by David Adams), March 2010.

 


Presentations (Seminars/Tutorials/Talks/Medias)

 

·     More than 35 invited conference keynote speeches in past few years

·     More than 35 invited seminar talks (University of Melbourne, University of Sydney, Tsinghua University and etc.)

·     Topics: Big Data with Cloud; Data Security and Privacy; Scalable Analytics; Big Data/Data Intensive Workflow Management; and etc

 


Professional Activities

 

Editorials

·     Associate Editor, IEEE Transactions on Computers (2020~)

·     Associate Editor, IEEE Transactions on Sustainable Computing (2020~)

·     Editor (Equivalent to Co Editor-in-Chief), Concurrency and Computatin: Practice and Experience (2019/2020~)

·     Associate Editor for ACM Computing Surveys (2015~)

·     Associate Editor for Journal of Computer and System Sciences (2013~)

·     Associate Editor for Knowledge and Information Systems (2019~)

·     Associate Editor for Ambient Intelligence and Humanized Computing (2020~)

·     Associate Editor for IEEE Transactions on Knowledge and Data Engineering (2015~2019)

·     Associate Editor for IEEE Transactions on Cloud Computing (2015~2018)

·     Guest Editor of more than 20 special issues in high quality journals such as IEEE TBD, IEEE TETC, IEEE TCC, on Cloud, Data Systems, Scalable Data Processing, Data Privacy, and the other topics.

 

Conference Organisation

·     [Too many to list here...]

·     PC Member, ICDM 2020

·     Founder & Steering Committee Chair – IEEE International Conference on Data Science and Systems

·     Founder & Steering Committee Chair – IEEE International Conference on Big Data and Cloud Computing

·     Founder & Steering Committee Chair – IEEE International Conference on Big Data Science and Engineering

·     Various Chairs of many international domain quality conferences and workshops

·     PC members of many international domain quality conferences/workshops

 

 

Teaching Experience

 

·     Design of new subject: Information Systems Architecture Design (using emerging technologies such as Big Data, Data Science and Cloud)

·     Re-design of subject: Business Systems Design (to include Big Data, Data Science and Cloud for Business Effectiveness)

·     Web Programming

·     Advanced Web Development

·     Data Communications & Security

·     Advanced Web Technologies (AWT)

·     Information System and Programming

·     Enterprise Systems

·     Database, Analysis and Design

·     E-Commerce - A Business Perspective

·     Data Structure and Algorithm Analysis

·     Software Engineering

·     Programming Languages

 

"Successful people are not gifted; they just work hard, then succeed on purpose." -- G. K. Nielson

 

"If we knew what it was we were doing, it would not be called research, would it?" -- Albert Einstein.

 

"It doesn’t matter where you’re coming from; all that matters is where you’re going" -- Brian Tracy.