Professor Richard Sinnott

  • Room: Level: 02 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). See www.eresearch.unimelb.edu.au for his grants, projects and his research software engineering team more generally.

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 350 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 high performance computing and cloud computing.

He has supervised over 500 Masters dissertations at the University of Melbourne. He also currently supervises more than the maximum allowed number of PhD students!

Recent publications

  1. Zhang X, Yang L, Sinnott R. A Mobile Application for Cat Detection and Breed Recognition Based on Deep Learning. AI4Mobile 2019 - 2019 IEEE 1st International Workshop on Artificial Intelligence for Mobile. 2019. DOI: 10.1109/AI4Mobile.2019.8672684
  2. Wang K, Jia Y, Huo R, Sinnott R. A Mobile Application for Tree Classification and Canopy Calculation Using Machine Learning. AI4Mobile 2019 - 2019 IEEE 1st International Workshop on Artificial Intelligence for Mobile. 2019. DOI: 10.1109/AI4Mobile.2019.8672699
  3. Poulton A, Pan J, Bruns LR, Sinnott R, Hester R. A Smartphone App to Assess Alcohol Consumption Behavior: Development, Compliance, and Reactivity. JMIR MHEALTH AND UHEALTH. JMIR Publications. 2019, Vol. 7, Issue 3. DOI: 10.2196/11157
  4. 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. Kluwer Academic Publishers. 2019, Vol. 21, Issue 1. DOI: 10.1007/s10676-018-9490-4
  5. Yu H, Yang Z, Sinnott R. Decentralized Big Data Auditing for Smart City Environments Leveraging Blockchain Technology. IEEE ACCESS. IEEE - Institute of Electrical and Electronic Engineers. 2019, Vol. 7. DOI: 10.1109/ACCESS.2018.2888940
  6. Kim KW, Allen DW, Briese T, Couper JJ, Barry SC, Colman P, Cotterill AM, Davis EA, Giles LC, Harrison L, Harris M, Haynes A, Horton JL, Isaacs SR, Jain K, Lipkin WI, Morahan G, Morbey C, Pang ICN, Papenfuss A, Penno MAS, Sinnott R, Soldatos G, Thomson RL, Vuillermin PJ, Wentworth JM, Wilkins MR, Rawlinson WD, Craig ME. Distinct Gut Virome Profile of Pregnant Women With Type 1 Diabetes in the ENDIA Study. OPEN FORUM INFECTIOUS DISEASES. Oxford University Press. 2019, Vol. 6, Issue 2. DOI: 10.1093/ofid/ofz025
  7. 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. Springer Verlag. 2019, Vol. 33, Issue 1. DOI: 10.1007/s10877-018-0139-y
  8. Hon MK, Mohamad MS, Salleh AHM, Choon YW, Daud KM, Remli MA, Ismail MA, Omatu S, Sinnott R, Corchado JM. Identifying a Gene Knockout Strategy Using a Hybrid of Simple Constrained Artificial Bee Colony Algorithm and Flux Balance Analysis to Enhance the Production of Succinate and Lactate in Escherichia Coli. INTERDISCIPLINARY SCIENCES-COMPUTATIONAL LIFE SCIENCES. Dr Dietrich Steinkopff Verlag. 2019, Vol. 11, Issue 1. DOI: 10.1007/s12539-019-00324-z
  9. Zhao X, Sinnott R. Message from the BDCAT 2018 Program Chairs. Proceedings - 5th IEEE/ACM International Conference on Big Data Computing, Applications and Technologies, BDCAT 2018. 2019. DOI: 10.1109/BDCAT.2018.00006
  10. Poulton A, Mata A, Pan J, Bruns LR, Sinnott R, Hester R. Predictors of Adverse Alcohol Use Consequences Among Tertiary Students. Alcoholism: Clinical and Experimental Research. New Zealand Society of Animal Production. 2019. DOI: 10.1111/acer.13988
  11. Wu F, Chen W, Sinnott R. A Mobile Application for Dog Breed Detection and Recognition based on Deep Learning. 11th IEEE/ACM International Conference on Utility and Cloud Computing (UCC-Companion) / 5th IEEE/ACM International Conference on Big Data Computing, Applications and Technologies (BDCAT). IEEE. 2018. Editors: Sill A, Spillner J. DOI: 10.1109/BDCAT.2018.00019
  12. Liu C, Sinnott R. A Platform for Exploring Social Media Analytics of Fast Food Restaurants in Australia. 18th International Conference on Computational Science and Its Applications (ICCSA). Springer Verlag. 2018, Vol. 10960. Editors: Gervasi O, Murgante B, Misra S, Stankova E, Torre CM, Rocha AMAC, Taniar D, Apduhan BO, Tarantino E, Ryu Y. DOI: 10.1007/978-3-319-95162-1_16
  13. 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 Verlag. 2018, Vol. 10966 LNCS. DOI: 10.1007/978-3-319-94289-6_23
  14. Hong Y, Sinnott R. A Social Media Platform for Infectious Disease Analytics. 18th International Conference on Computational Science and Its Applications (ICCSA). Springer Verlag. 2018, Vol. 10960. Editors: Gervasi O, Murgante B, Misra S, Stankova E, Torre CM, Rocha AMAC, Taniar D, Apduhan BO, Tarantino E, Ryu Y. DOI: 10.1007/978-3-319-95162-1_36
  15. Wang L, Li Q, Sinnott R, Jiang Y, Wu J. An intelligent rule management scheme for Software Defined Networking. COMPUTER NETWORKS. Elsevier Science. 2018, Vol. 144. DOI: 10.1016/j.comnet.2018.07.027

View a full list of publications on the University of Melbourne’s ‘Find An Expert’ profile