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. Lee, MK.; Mohamad, MS.; Choon, YW.; Mohd Daud, K.; Nasarudin, NA.; Ismail, MA.; Ibrahim, Z.; Napis, S.; Sinnott, RO. A Hybrid of Particle Swarm Optimization and Minimization of Metabolic Adjustment for Ethanol Production of Escherichia Coli. Advances in Intelligent Systems and Computing. Springer International Publishing. 2020, Vol. 1005, pp. 36-44. 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). IEEE. 2019, pp. 7-12. 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). IEEE. 2019, pp. 1-6. DOI: 10.1109/AI4Mobile.2019.8672699
  4. Daud, KM.; Mohamad, MS.; Zakaria, Z.; Hassan, R.; Shah, ZA.; Deris, S.; Ibrahim, Z.; Napis, S.; Sinnott, RO. 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. Elsevier BV. 2019, Vol. 113, pp. 103390-. DOI: 10.1016/j.compbiomed.2019.103390
  5. Nies, HW.; Zakaria, Z.; Mohamad, MS.; Chan, WH.; Zaki, N.; Sinnott, RO.; 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, RO.; Hester, R. A Smartphone App to Assess Alcohol Consumption Behavior: Development, Compliance, and Reactivity. JMIR mHealth and uHealth. JMIR PUBLICATIONS, INC. 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. SPRINGER. 2019, Vol. 21, Issue 1, pp. 59-73. 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, pp. 427-438. DOI: 10.2174/1570164616666190401203128
  9. Hu, Y.; Sinnott, RO. Big data analytics exploration of green space and mental health in Melbourne. 2019 19th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID). IEEE. 2019, pp. 648-657. 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. Proceedings of the International Symposium on Quality of Service - IWQoS '19. ACM. 2019. DOI: 10.1145/3326285.3329047
  11. Truong, TM.; Harwood, A.; Sinnott, RO.; Chen, S. Cost-efficient stream processing on the cloud. 2019 IEEE 12th International Conference on Cloud Computing (CLOUD). IEEE. 2019, Vol. 2019-July, pp. 209-213. DOI: 10.1109/CLOUD.2019.00044
  12. 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
  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. . Springer Netherlands. 2019, pp. 53-69. DOI: 10.1007/978-94-024-1531-5_4
  14. Kim, KW.; Allen, DW.; Briese, T.; Couper, JJ.; Barry, SC.; Colman, PG.; Cotterill, AM.; Davis, EA.; Giles, LC.; Harrison, LC.; Harris, M.; Haynes, A.; Horton, JL.; Isaacs, SR.; Jain, K.; Lipkin, WI.; Morahan, G.; Morbey, C.; Pang, ICN.; Papenfuss, AT.; Penno, MAS.; Sinnott, RO.; 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 UNIV PRESS INC. 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.. Journal of Clinical Monitoring and Computing. Springer Science and Business Media LLC. 2019, Vol. 33, Issue 1, pp. 39-51. DOI: 10.1007/s10877-018-0139-y
  16. Yu, H.; Cai, Y.; Sinnott, RO.; Yang, Z. ID-based dynamic replicated data auditing for the cloud. Concurrency and Computation: Practice and Experience. WILEY. 2019, Vol. 31, Issue 11. DOI: 10.1002/cpe.5051
  17. Hon, MK.; Mohamad, MS.; Salleh, AHM.; Choon, YW.; Daud, KM.; Remli, MA.; Ismail, MA.; Omatu, S.; Sinnott, RO.; 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. SPRINGER HEIDELBERG. 2019, Vol. 11, Issue 1, pp. 33-44. DOI: 10.1007/s12539-019-00324-z
  18. Aldwyan, Y.; Sinnott, RO. Latency-aware failover strategies for containerized web applications in distributed clouds. Future Generation Computer Systems. Elsevier BV. 2019, Vol. 101, pp. 1081-1095. DOI: 10.1016/j.future.2019.07.032
  19. Zhao, X.; Sinnott, R. Message from the BDCAT 2018 Program Chairs. 2018 IEEE/ACM 5th International Conference on Big Data Computing Applications and Technologies (BDCAT). IEEE. 2019, pp. XI-. DOI: 10.1109/BDCAT.2018.00006
  20. Wang, S.; Nepal, S.; Sinnott, R.; Rudolph, C. P-STM: Privacy-protected social tie mining of individual trajectories. 2019 IEEE International Conference on Web Services (ICWS). IEEE. 2019, pp. 1-10. DOI: 10.1109/ICWS.2019.00014

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