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

Professor of Applied Computing Systems in the School of Computing and Information Systems, Melbourne School of Engineering. He established and leads the Melbourne eResearch Group (www.eresearch.unimelb.edu.au). He has been lead software engineer/architect on an extensive portfolio of national and international projects worth over $210m thus far at the University of Melbourne. Many of these focus on research domains requiring finer-grained access control (security) or dealing with big data related issues. See www.eresearch.unimelb.edu.au for details of his grants, projects, publications 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 400 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 700 Masters dissertations at the University of Melbourne. He also currently supervises more than the maximum allowed number of PhD students!

Recent publications

  1. Lee MK, Mohamad MS, Choon YW, Mohd Daud K, Nasarudin NA, Ismail MA, Ibrahim Z, Napis S, Sinnott R. A Hybrid of Particle Swarm Optimization and Minimization of Metabolic Adjustment for Ethanol Production of Escherichia Coli. Advances in Intelligent Systems and Computing. Springer. 2020, Vol. 1005. DOI: 10.1007/978-3-030-23873-5_5
  2. Zhang X, Yang L, Sinnott R. A Mobile Application for Cat Detection and Breed Recognition Based on Deep Learning. 2019 IEEE 1ST INTERNATIONAL WORKSHOP ON ARTIFICIAL INTELLIGENCE FOR MOBILE (AI4MOBILE '19). IEEE. 2019. Editors: Liu Y, Ma L, Li L, Xue M. DOI: 10.1109/AI4Mobile.2019.8672684
  3. Wang K, Jia Y, Huo R, Sinnott R. A Mobile Application for Tree Classification and Canopy Calculation using Machine Learning. 2019 IEEE 1ST INTERNATIONAL WORKSHOP ON ARTIFICIAL INTELLIGENCE FOR MOBILE (AI4MOBILE '19). IEEE. 2019. Editors: Liu Y, Ma L, Li L, Xue M. DOI: 10.1109/AI4Mobile.2019.8672699
  4. Daud KM, Mohamad MS, Zakaria Z, Hassan R, Shah ZA, Deris S, Ibrahim Z, Napis S, Sinnott R. A non-dominated sorting Differential Search Algorithm Flux Balance Analysis (ndsDSAFBA) for in silico multiobjective optimization in identifying reactions knockout. COMPUTERS IN BIOLOGY AND MEDICINE. Pergamon-Elsevier Science. 2019, Vol. 113. DOI: 10.1016/j.compbiomed.2019.103390
  5. Nies HW, Zakaria Z, Mohamad MS, Chan WH, Zaki N, Sinnott R, Napis S, Chamoso P, Omatu S, Corchado JM. A review of computational methods for clustering genes with similar biological functions. Processes. Molecular Diversity Preservation International (MDPI) AG. 2019, Vol. 7, Issue 9. DOI: 10.3390/pr7090550
  6. 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
  7. 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
  8. Remli MA, Mohamad MS, Deris S, Sinnott R, Napis S. An Improved Scatter Search Algorithm for Parameter Estimation in Large-Scale Kinetic Models of Biochemical Systems. Current Proteomics. Bentham Science Publishers. 2019, Vol. 16, Issue 5. DOI: 10.2174/1570164616666190401203128
  9. Hu Y, Sinnott R. Big data analytics exploration of green space and mental health in Melbourne. 19th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID). IEEE. 2019. DOI: 10.1109/CCGRID.2019.00083
  10. Shen G, Li Q, Jiang Y, Sinnott R, Lin D, Guo Z, Wang Y. Chunk-level request-grant-transfer mode for QoE-sensitive video delivery in CDN. International Symposium on Quality of Service. 2019. DOI: 10.1145/3326285.3329047
  11. Truong T, Harwood A, Sinnott R, Chen S. Cost-efficient stream processing on the cloud. 2019 IEEE 12th International Conference on Cloud Computing (CLOUD). IEEE. 2019, Vol. 2019-July. DOI: 10.1109/CLOUD.2019.00044
  12. 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
  13. Tomko M, Galang G, Bayliss C, Koetsier J, Greenwood P, Voorsluys W, Mannix D, Sarwar S, Widjaja I, Pettit C, Sinnott R. Designing Adaptable Spatial Cyberinfrastructure for Urban eResearch. CyberGIS for Geospatial Discovery and Innovation. 2019. Editors: Wang S, Goodchild MF. DOI: 10.1007/978-94-024-1531-5_4
  14. 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 J, 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
  15. Donald R, Howells T, Piper I, Enblad P, Nilsson P, Chambers I, Gregson B, Citerio G, Kiening K, Neumann J, Ragauskas A, Sahuquillo J, Sinnott R, Stell A, Brainit Group. Forewarning of hypotensive events using a Bayesian artificial neural network in neurocritical care.. J Clin Monit Comput. Springer Verlag. 2019, Vol. 33, Issue 1. DOI: 10.1007/s10877-018-0139-y

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