Professor Richard Sinnott

  • Room: Level: 03 Room:
  • Building: 333 Exhibition St
  • Campus: Other

Research interests

  • IT security (authentication, authorisation, auditing and accounting systems)
  • biomedical IT systems (bioinformatics, life science data management)
  • clinical IT systems (biobanking, clinical trials, epidemiology, disease registries)
  • eResearch across multiple application areas (security, HPC, data management, distributed systems)
  • engineering IT systems (large scale supercomputing / Grids)
  • public health IT systems (social, clinical, geospatial, environmental systems)
  • social science IT systems (social simulation, microdata)
  • software engineering (real time systems, formal methods, distributed systems)

Biography

Director of eResearch at the University of Melbourne since July 2010 and Professor of Applied Computing Systems in Computing and Information Systems Department, Melbourne School of Engineering. In these roles he is responsible for all aspects of eResearch (research-oriented IT development) at the University. He has been lead software engineer/architect on an extensive portfolio of national and international projects, with specific focus on those research domains requiring finer-grained access control (security).

Prior to this position he was Technical Director of the National e-Science Centre at the University of Glasgow, Scotland and Director of e-Science at Glasgow. In these roles he was responsible for organising and administrating both UK wide work and local Glasgow University activities associated with e-Science. He also held the position of Deputy Technical Director for the Bioinformatics Research Centre at the University of Glasgow and Technical Manager of the National Centre for e-Social Science (based in Manchester). He was involved in many applications-oriented projects applying a wide variety of Grid/eResearch based technologies (see below).

Richard ran his own software consultancy company in the area of real time telecommunication systems and was a senior research scientist for several years based in Berlin, Germany.  He was also editor of several international computing standards (ITU-T X904). He has over 150 publications covering all aspects of computing science: from theoretical computing science; real time systems; security and more recently in eResearch and its applications. Richard currently lectures in cloud computing.

Recent publications

  1. Yu, H.; Yang, Z.; Sinnott, RO. Decentralized Big Data Auditing for Smart City Environments Leveraging Blockchain Technology. IEEE Access. IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC. 2019, Vol. 7, pp. 6288-6296. DOI: 10.1109/ACCESS.2018.2888940
  2. Donald, R.; Howells, T.; Piper, I.; Enblad, P.; Nilsson, P.; Chambers, I.; Gregson, BA.; Citerio, G.; Kiening, K.; Neumann, J.; Ragauskas, A.; Sahuquillo, J.; Sinnott, R.; Stell, A.; Pickard, J.; Whittle, I.; Dunn, .; Rydenhag, B.; Iencean, S.; Pavalkis, .; Meixensberger, .; Goffin, J.; Vajkoczy, P.; Stocchetti, N.; Corte, D.; Hell, .; Mascia, L.; Jarzemaskas, .; Stocker, R.; Mattern, J.; Yau, YH.; Wyper, D.; Kiefer, M.; De Jong, D.; Gjerris, F.; Hill, S.; Cruickshank, G.; Watkins, L. Forewarning of hypotensive events using a Bayesian artificial neural network in neurocritical care. Journal of Clinical Monitoring and Computing. 2019, Vol. 33, Issue 1, pp. 39-51. DOI: 10.1007/s10877-018-0139-y
  3. Liu, C.; Sinnott, RO. A platform for exploring social media analytics of fast food restaurants in Australia. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer International Publishing. 2018, Vol. 10960 LNCS, pp. 231-244. DOI: 10.1007/978-3-319-95162-1_16
  4. Wang, S.; Sinnott, R.; Nepal, S. A privacy-preserving semantic annotation framework using online social media. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Nature. 2018, Vol. 10966 LNCS, pp. 353-372. DOI: 10.1007/978-3-319-94289-6_23
  5. Hong, Y.; Sinnott, RO. A social media platform for infectious disease analytics. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer International Publishing. 2018, Vol. 10960 LNCS, pp. 526-540. DOI: 10.1007/978-3-319-95162-1_36
  6. Clark, K.; Duckham, M.; Guillemin, M.; Hunter, A.; Mcvernon, J.; O Keefe, C.; Pitkin, C.; Prawer, S.; Sinnott, R.; Warr, D.; Waycott, J. Advancing the ethical use of digital data in human research: challenges and strategies to promote ethical practice. Ethics and Information Technology. 2018. DOI: 10.1007/s10676-018-9490-4
  7. Wang, L.; Li, Q.; Sinnott, R.; Jiang, Y.; Wu, J. An intelligent rule management scheme for Software Defined Networking. Computer Networks. ELSEVIER SCIENCE BV. 2018, Vol. 144, pp. 77-88. DOI: 10.1016/j.comnet.2018.07.027
  8. Poulton, A.; Pan, J.; Bruns, LR.; Sinnott, RO.; Hester, R. Assessment of alcohol intake: Retrospective measures versus a smartphone application. Addictive Behaviors. PERGAMON-ELSEVIER SCIENCE LTD. 2018, Vol. 83, pp. 35-41. DOI: 10.1016/j.addbeh.2017.11.003
  9. Eisenhofer, G.; Prejbisz, A.; Peitzsch, M.; Pamporaki, C.; Masjkur, J.; Rogowski-lehmann, N.; Langton, K.; Tsourdi, E.; Peczkowska, M.; Fliedner, S.; Deutschbein, T.; Megerle, F.; Timmers, HJLM.; Sinnott, R.; Beuschlein, F.; Fassnacht, M.; Januszewicz, A.; Lenders, JWM. Biochemical Diagnosis of Chromaffin Cell Tumors in Patients at High and Low Risk of Disease: Plasma versus Urinary Free or Deconjugated O-Methylated Catecholamine Metabolites. Clinical chemistry. AMER ASSOC CLINICAL CHEMISTRY. 2018, Vol. 64, Issue 11, pp. 1646-1656. DOI: 10.1373/clinchem.2018.291369
  10. Chen, S.; Zhou, X.; Zhou, G.; Sinnott, RO. Distributed Data Load Balancing for Scalable Key-Value Cache Systems. Communications in Computer and Information Science. SPRINGER-VERLAG BERLIN. 2018, Vol. 908, pp. 181-194. DOI: 10.1007/978-981-13-2423-9_14
  11. Yu, H.; Cai, Y.; Sinnott, RO.; Yang, Z. ID-based dynamic replicated data auditing for the cloud. Concurrency Computation. 2018. DOI: 10.1002/cpe.5051
  12. Kang, K.; Sinnott, RO. Improving online argumentation through deep learning. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer International Publishing. 2018, Vol. 10960 LNCS, pp. 376-391. DOI: 10.1007/978-3-319-95162-1_26
  13. Wang, S.; Sinnott, R.; Nepal, S. P-GENT: Privacy-Preserving Geocoding of Non-Geotagged Tweets. Proceedings - 17th IEEE International Conference on Trust, Security and Privacy in Computing and Communications and 12th IEEE International Conference on Big Data Science and Engineering, Trustcom/BigDataSE 2018. IEEE Explore. 2018, pp. 972-983. DOI: 10.1109/TrustCom/BigDataSE.2018.00137
  14. Wang, S.; Sinnott, R.; Nepal, S. PAIRS: Privacy-Aware Identification and Recommendation of Spatio-Friends. Proceedings - 17th IEEE International Conference on Trust, Security and Privacy in Computing and Communications and 12th IEEE International Conference on Big Data Science and Engineering, Trustcom/BigDataSE 2018. IEEE Explore. 2018, pp. 920-931. DOI: 10.1109/TrustCom/BigDataSE.2018.00131
  15. Tri, MT.; Harwood, A.; Sinnott, RO.; Chen, S. Performance Analysis of Large-scale Distributed Stream Processing Systems on the Cloud. IEEE International Conference on Cloud Computing, CLOUD. IEEE. 2018, Vol. 2018-July, pp. 754-761. DOI: 10.1109/CLOUD.2018.00103
  16. Lu, Y.; Sinnott, RO.; Verspoor, K.; Parampalli, U. Privacy-Preserving Access Control in Electronic Health Record Linkage. Proceedings - 17th IEEE International Conference on Trust, Security and Privacy in Computing and Communications and 12th IEEE International Conference on Big Data Science and Engineering, Trustcom/BigDataSE 2018. IEEE Explore. 2018, pp. 1079-1090. DOI: 10.1109/TrustCom/BigDataSE.2018.00151
  17. Wang, S.; Sinnott, R.; Nepal, S. Privacy-protected statistics publication over social media user trajectory streams. Future Generation Computer Systems. ELSEVIER SCIENCE BV. 2018, Vol. 87, pp. 792-802. DOI: 10.1016/j.future.2017.08.002
  18. Toosi, AN.; Sinnott, RO.; Buyya, R. Resource provisioning for data-intensive applications with deadline constraints on hybrid clouds using Aneka. Future Generation Computer Systems. ELSEVIER SCIENCE BV. 2018, Vol. 79, pp. 765-775. DOI: 10.1016/j.future.2017.05.042
  19. Gong, Y.; Sinnott, RO.; Rimba, P. RT-DBSCAN: Real-time parallel clustering of spatio-temporal data using spark-streaming. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Nature. 2018, Vol. 10860 LNCS, pp. 524-539. DOI: 10.1007/978-3-319-93698-7_40
  20. Lu, Y.; Sinnott, RO. Semantic privacy-preserving framework for electronic health record linkage. Telematics and Informatics. ELSEVIER SCIENCE BV. 2018, Vol. 35, Issue 4, pp. 737-752. DOI: 10.1016/j.tele.2017.06.007

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