Dr Tim Lynar

Dr Tim Lynar

Senior Lecturer
UNSW Canberra
School of Systems & Computing

I am a researcher and practitioner in Cyber security and Computer Science, with a passion for innovation. I have a strong record in development, research, and innovation. With proven experience in research and development with a specialised focus in Cyber security, IoT, modelling, resource allocation, simulation, and high-performance distributed computing; combined with exceptional experience in networking, and systems administration. I possess a diverse breadth of industry experience with both local and world-leading institutions, reinforced with sophisticated technical knowledge of both existing and emerging trends and concepts.

 

My current research interests include:

The application of machine learning to cyber security and the application of the epidemiological approach to cyber security.

Research Interests

  • Cyber security
  • Modelling & Simulation
  • Statistical & Data Analysis
  • Network & Systems Administration
  • High-Performance Distributed Computing
  • Machine learning
  • Journal articles | 2023
    Salim O; Lynar T, 2023, 'Classification of a Ferry Network Activity Based on ES Sensors and Convolutional Neural Networks', IEEE Sensors Journal, 23, pp. 775 - 786, http://dx.doi.org/10.1109/JSEN.2022.3223328
    Journal articles | 2023
    Somerville A; Lynar T; Wild G, 2023, 'The nature and costs of civil aviation flight training safety occurrences', Transportation Engineering, 12, http://dx.doi.org/10.1016/j.treng.2023.100182
    Journal articles | 2023
    Yang S; Barlow M; Townsend T; Liu X; Samarasinghe D; Lakshika E; Moy G; Lynar T; Turnbull B, 2023, 'Reinforcement Learning Agents Playing Ticket to Ride-A Complex Imperfect Information Board Game With Delayed Rewards', IEEE Access, 11, pp. 60737 - 60757, http://dx.doi.org/10.1109/ACCESS.2023.3287100
    Journal articles | 2022
    Akter M; Moustafa N; Lynar T; Razzak I, 2022, 'Edge Intelligence: Federated Learning-Based Privacy Protection Framework for Smart Healthcare Systems', IEEE Journal of Biomedical and Health Informatics, 26, pp. 5805 - 5816, http://dx.doi.org/10.1109/JBHI.2022.3192648
    Journal articles | 2022
    Liu L; Essam D; Lynar T, 2022, 'Complexity Measures for IoT Network Traffic', IEEE Internet of Things Journal, 9, pp. 25715 - 25735, http://dx.doi.org/10.1109/JIOT.2022.3197323
    Journal articles | 2021
    Moustafa N; Hassan M; Choo K-KR; Lynar T; Camtepe S; Whitty M, 2021, 'DAD: A Distributed Anomaly Detection system using ensemble one-class statistical learning in edge networks', Future Generation Computer Systems, 118, pp. 240 - 251, http://dx.doi.org/10.1016/j.future.2021.01.011
    Journal articles | 2021
    Samarasinghe Widana Arachchige D; Barlow M; Lakshika E; Lynar T; Moustafa N; Townsend T; Turnbull B, 2021, 'A Data Driven Review of Board Game Design and Interactions of Their Mechanics', IEEE Access, 9, pp. 114051 - 114069, http://dx.doi.org/10.1109/ACCESS.2021.3103198
    Journal articles | 2020
    Modini J; Lynar T; Sitnikova E; Joiner K, 2020, 'The Application of Epidemiology for Categorising DNS Cyber Risk Factors', International Journal of Computers and Communications, 8, pp. 12 - 28, http://dx.doi.org/10.4236/jcc.2020.812002
    Journal articles | 2018
    Hettiarachchige C; von Cavallar S; Lynar T; Hickson RI; Gambhir M, 2018, 'Risk prediction system for dengue transmission based on high resolution weather data', PLoS ONE, 13, http://dx.doi.org/10.1371/journal.pone.0208203
    Journal articles | 2015
    Lynar TM; Nelson MD, 2015, 'Blue Gene/Q defragmentation for energy waste minimisation', Journal of Supercomputing, 71, pp. 202 - 216, http://dx.doi.org/10.1007/s11227-014-1293-8
    Journal articles | 2014
    Lynar TM; Steer KCB; Eng F; Smith O, 2014, 'Resilient heterogeneous power and energy constrained computing', Energy Systems, 5, pp. 145 - 161, http://dx.doi.org/10.1007/s12667-013-0089-x
    Journal articles | 2013
    Lynar TM; Simon ; Herbert RD; Chivers WJ, 2013, 'Reducing energy consumption in distributed computing through economic resource allocation', International Journal of Grid and Utility Computing, 4, pp. 231 - 241, http://dx.doi.org/10.1504/IJGUC.2013.057117
    Journal articles | 2011
    Lynar TM; Herbert RD; Simon ; Chivers WJ, 2011, 'Resource allocation to conserve energy in distributed computing', International Journal of Grid and Utility Computing, 2, pp. 1 - 10, http://dx.doi.org/10.1504/IJGUC.2011.039976
    Journal articles | 2010
    Lynar TM; Simon ; Herbert RD; Chivers WJ, 2010, 'Clustering Obsolete Computers to Reduce E-Waste', International Journal of Information Systems and Social Change, 1, pp. 1 - 10, http://dx.doi.org/10.4018/jissc.2010092901
    Journal articles | 2009
    Lynar TM; Herbert RD; Chivers WJ; Simon , 2009, 'A grid resource allocation mechanism for heterogeneous E-waste computers', Conferences in Research and Practice in Information Technology Series, 99, pp. 69 - 75
    Journal articles | 2009
    Lynar TM; Herbert RD; Chivers WJ, 2009, 'Implementing an agent based auction model on a cluster of reused workstations', International Journal of Computer Applications in Technology, 34, pp. 230 - 234, http://dx.doi.org/10.1504/IJCAT.2009.024071
    Journal articles | 2009
    Lynar TM; Herbert RD; Simon , 2009, 'Auction resource allocation mechanisms in grids of heterogeneous computers', WSEAS Transactions on Computers, 8, pp. 1671 - 1680
  • Conference Papers | 2024
    Wasswa H; Nanyonga A; Lynar T, 2024, 'Impact of Latent Space Dimension on IoT Botnet Detection Performance: VAE-Encoder Versus ViT-Encoder', in 2024 3rd International Conference for Innovation in Technology, INOCON 2024, http://dx.doi.org/10.1109/INOCON60754.2024.10511431
    Conference Papers | 2023
    Farlow H; Garratt M; Mount G; Lynar T, 2023, 'The Race to Robustness: Exploiting Fragile Models for Urban Camouflage and the Imperative for Machine Learning Security', in 2023 IEEE Region 10 Symposium, TENSYMP 2023, http://dx.doi.org/10.1109/TENSYMP55890.2023.10223620
    Conference Papers | 2023
    Salim O; Lynar T, 2023, 'Classification of Marine Traffic Activities Using ES Sensors and A VAE-CapsNet Approach', in Proceedings of the IEEE Radar Conference, http://dx.doi.org/10.1109/RADAR54928.2023.10371112
    Conference Papers | 2023
    Somerville A; Lynar T; Wild G, 2023, 'Safety Implications of Pilot Incapacitation Occurrences for Future Single Pilot Operations', in AIAA AVIATION 2023 Forum, American Institute of Aeronautics and Astronautics, presented at AIAA AVIATION 2023 Forum, http://dx.doi.org/10.2514/6.2023-3613
    Conference Papers | 2023
    Somerville A; Pollock L; Joiner K; Lynar T; Wild G, 2023, 'Sustainable Aircraft Design in Engineering Education: Conceive, Design, Implement, and Operate Virtually', in Lyng R; Bennedsen J; Bettaieb L; Bodsberg NR; Edström K; Guðjónsdóttir MS; Roslöf J; Solbjørg OK; Øien G (eds.), The 19th CDIO International Conference, Norwegian University of Science and Tecnology, Trondheim, pp. 491 - 501, presented at 19th International Conceive Design Implement Operate (CDIO) Conference at NTNU, Norway, Trondheim, 26 June 2023 - 29 June 2023, https://www.ntnu.edu/documents/1308247420/0/CDIO+2023+Proceedings.pdf
    Conference Papers | 2023
    Wasswa H; Lynar T; Abbass H, 2023, 'Enhancing IoT-Botnet Detection using Variational Auto-encoder and Cost-Sensitive Learning: A Deep Learning Approach for Imbalanced Datasets', in 2023 IEEE Region 10 Symposium, TENSYMP 2023, http://dx.doi.org/10.1109/TENSYMP55890.2023.10223613
    Conference Papers | 2023
    Wasswa H; Lynar T; Nanyonga A; Abbass H, 2023, 'IoT Botnet Detection: Application of Vision Transformer to Classification of Network Flow Traffic', in 2023 Global Conference on Information Technologies and Communications, GCITC 2023, http://dx.doi.org/10.1109/GCITC60406.2023.10426522
    Conference Papers | 2022
    Akter M; Moustafa N; Lynar T, 2022, 'Edge Intelligence-based Privacy Protection Framework for IoT-based Smart Healthcare Systems', in INFOCOM WKSHPS 2022 - IEEE Conference on Computer Communications Workshops, http://dx.doi.org/10.1109/INFOCOMWKSHPS54753.2022.9798196
    Conference Papers | 2022
    Chang CM; Hsiao HC; Lynar T; Mori T, 2022, 'Know Your Victim: Tor Browser Setting Identification via Network Traffic Analysis', in WWW 2022 - Companion Proceedings of the Web Conference 2022, pp. 201 - 204, http://dx.doi.org/10.1145/3487553.3524244
    Conference Papers | 2022
    Liu L; Engelen G; Lynar T; Essam D; Joosen W, 2022, 'Error Prevalence in NIDS datasets: A Case Study on CIC-IDS-2017 and CSE-CIC-IDS-2018', in 2022 IEEE Conference on Communications and Network Security, CNS 2022, pp. 254 - 263, http://dx.doi.org/10.1109/CNS56114.2022.9947235
    Conference Papers | 2021
    Glukhov G; Lynar T, 2021, 'Data preprocessing for non-image data: using convolution neural networks for network intrusion detection systems', in Proceedings of the International Congress on Modelling and Simulation, MODSIM, pp. 799 - 805
    Conference Papers | 2021
    Liu L; Essam D; Lynar T, 2021, 'On quantifying the complexity of IoT traffic', in Proceedings - Conference on Local Computer Networks, LCN, pp. 379 - 382, http://dx.doi.org/10.1109/LCN52139.2021.9525007
    Conference Papers | 2020
    Modini J; Lynar T; Sitnikova E; Joiner K, 2020, 'Applications of Epidemiology to Cyber Security', Chester, U.K., pp. 483 - 490, presented at 19th European Conference on Cyber Warfare and Security, Chester, U.K., 25 June 2020 - 26 June 2020, http://dx.doi.org/10.34190/EWS.20.057
    Conference Papers | 2020
    Modini J; Van Zomeran M; Fowler S; Joiner K; Lynar T, 2020, 'Rising to the Challenge of Insider Threats for Middle Powers', in Payne BK; Wu H (ed.), Academic Conferences and Publishing International Ltd, Norfolk, Virginia, pp. 521 - 529, presented at 15th International Conference on Cyber Warfare and Security, Norfolk, Virginia, 12 March 2020 - 13 March 2020, http://dx.doi.org/10.34190/ICCWS.20.131
    Conference Papers | 2019
    Jalali F; Lynar T; Smith OJ; Kolluri RR; Hardgrove CV; Waywood N; Suits F, 2019, 'Dynamic Edge Fabric EnvironmenT: Seamless and Automatic Switching among Resources at the Edge of IoT Network and Cloud', in Proceedings - 2019 IEEE International Conference on Edge Computing, EDGE 2019 - Part of the 2019 IEEE World Congress on Services, pp. 77 - 86, http://dx.doi.org/10.1109/EDGE.2019.00028
    Conference Papers | 2018
    Lynar T; Jalali F; Kolluri RR; Smith OJ; Suits F, 2018, 'Machine Learning Assisted Heuristic Approach for Optimal Task Deployment in Hybrid Cloud/Edge Environments', Stockholm, Sweden, presented at Workshop on AI for Internet of Things, Stockholm, Sweden, 13 July 2018 - 15 July 2018, https://www.zurich.ibm.com/AI4IoT/2018/AI4IoT-18_Lynar.pdf
    Conference Papers | 2017
    Jalali F; Smith OJ; Lynar T; Suits F, 2017, 'Cognitive IoT gateways: Automatic task sharing and switching between cloud and Edge/Fog computing', in SIGCOMM Posters and Demos 2017 - Proceedings of the 2017 SIGCOMM Posters and Demos, Part of SIGCOMM 2017, pp. 121 - 123, http://dx.doi.org/10.1145/3123878.3132008
    Conference Papers | 2016
    Salehi M; Rusu LI; Lynar T; Phan A, 2016, 'Dynamic and robust wildfire risk prediction system: An unsupervised approach', in Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 245 - 254, http://dx.doi.org/10.1145/2939672.2939685
    Conference Papers | 2010
    Lynar TM; Herbert RD; Simon ; Chivers WJ, 2010, 'Reducing grid energy consumption through choice of resource allocation method', in Proceedings of the 2010 IEEE International Symposium on Parallel and Distributed Processing, Workshops and Phd Forum, IPDPSW 2010, http://dx.doi.org/10.1109/IPDPSW.2010.5470911
    Conference Papers | 2009
    Herbert RD; Lynar TM, 2009, 'A comparison of economic resource allocation mechanisms in grids of e-waste computers', in Proc. 9th WSEAS Int. Conf. Simulation, Modelling and Optimization, SMO '09, 5th WSEAS Int. Symp. Grid Computing, Proc. 5th WSEAS Int. Symp. Digital Libraries, Proc. 5th WSEAS Int. Symp. Data Mining, pp. 41 - 46
    Conference Papers | 2009
    Lynar TM; Herbert RD; Simon ; Chivers WJ, 2009, 'Why decide: Is a user's estimation of job completion time useful in grid resource allocation?', in 18th World IMACS Congress and MODSIM 2009 - International Congress on Modelling and Simulation: Interfacing Modelling and Simulation with Mathematical and Computational Sciences, Proceedings, pp. 1031 - 1037
    Conference Papers | 2009
    Lynar TM; Herbert RD; Simon ; Chivers WJ, 2009, 'Why decide: Is a user's estimation of job completion time useful in grid resource allocation?', in 18th World IMACS Congress and MODSIM09 International Congress on Modelling and Simulation: Interfacing Modelling and Simulation with Mathematical and Computational Sciences, Proceedings, pp. 1031 - 1037
    Conference Papers | 2009
    Lynar TM; Herbert RD, 2009, 'Allocating grid resources for speed and energy conservation', in 6th International Conference on Information Technology and Applications, ICITA 2009, pp. 55 - 60
    Conference Papers | 2008
    Lynar TM; Herbert RD; Chivers WJ, 2008, 'Implementing an agent based auction model on a cluster of re-used workstations', in 5th International Conference on Information Technology and Applications, ICITA 2008, pp. 642 - 646
    Conference Papers | 2007
    Lynar TM; Herbert RD; Chivers WJ, 2007, 'Implementing an agent based auction model on a cluster of inexpensive heterogenous workstations', in MODSIM07 - Land, Water and Environmental Management: Integrated Systems for Sustainability, Proceedings, pp. 1947 - 1953
    Preprints |
    Somerville A; Lynar T; Wild G, The Nature and Costs of Civil Aviation Flight Training Safety Occurrences, , http://dx.doi.org/10.2139/ssrn.4191514

IBM Research A level accomplishment (science)(2018)

IBM Innovation Award – 17th Invention Plateau Award (2018)

IBM Master Inventor (2016)

Client Value Outstanding Technical Achievement Award (2016)

High Value Patent Award (2016)

IBM Manager’s Choice Award (2015)

Client Value Outstanding Technical Achievement Award (2015)

High Value Patent Award (2014)

IBM Manager’s Choice Award (2014)

IBM Innovation Award – 1st Patent Filing Award (2011)

Best Article Award – International Journal of Information Systems & Social Change (2010)

Research Higher Degree Completion Scholarship (2010)

Research Higher Degree Completion Conference Scholarship – Faculty of Science & IT (2009)

Australian Post Graduate Award (2008)

Williams Foundation IT Undergraduate Scholarship (2007)

Faculty of Science & IT Honours Scholarship (2007)

Theses

Lynar, T. M. (2011). Energy conservation in distributed heterogeneous computing environments using economic resource allocation mechanisms. The University of Newcastle.

 

Lynar, T. M. (2007). An Agent Based Auction Model on a Cluster of Heterogeneous Recycled Computers. The University of Newcastle.

 

Book Chapters

Lynar, T. M., Simon, Herbert, R. D., & Chivers, W. J. (2012). Clustering Obsolete Computers to Reduce E-Waste. In Societal Impacts on Information Systems Development and Applications (pp. 24 - 34).

 

 

Refereed Conference proceedings

Lynar, T., Jalali, F. Kolluri, R., Smith, O. & Suits, F. (2018). Machine Learning Assisted Heuristic Approach for Optimal Task Deployment in Hybrid Cloud/Edge Environments. Workshop on AI for Internet of Things (AI4IoT), IJCAI ECAI.

 

Lynar, T., Roberts, M., & Smith, O. (2018) Mine Dewatering with Environmental Constraints. 32nd Conference on Hydrology (AMS).

 

Lynar, T., Suits, F., Kerr, R., Wagner, J., & Buesser, B., (2017) Containerization of Weather Forecasting Platforms: Benefits and Challenges. 33rd Conference on Environmental Information Processing Technologies (AMS).

 

Lynar, T., Wagner, J., &  Suits, F., (2017) Weather Driven Psyllid Movement Within and Between Citrus Orchards.

97th American meteorological society Annual Meeting Eighth Conference on Environment and Health (AMS)

 

Salehi, M., Rusu, L. Lynar, T., & Phan, A. (2016) Dynamic and Robust Wildfire Risk Prediction System: An Unsupervised Approach. 22nd ACM SIGKDD Conference on knowledge Discovery and Data Mining (KDD).

(SJR: 139)

 

Lynar, T., Simon, Herbert, R. D., & Chivers, W. J. (2010). Reducing Grid Energy Consumption through Choice of Resource Allocation Method. Paper presented at the sixth Workshop on High-Performance, Power-Aware Computing (HPPAC). (SJR:16)

 

Lynar, T. M., Herbert, R. D., Simon, & Chivers, W. J. (2009). Impact of node ranking on outcomes of grid resource allocation. Paper presented at The 2009 International Conference on Grid Computing and Applications (GCA09). (SJR: 3)

 

Lynar, T. M., Herbert, R. D., Simon, & Chivers, W. J. (2009). A grid resource allocation mechanism for heterogeneous e-waste computers. Paper presented at The 7th Australasian Symposium on Grid Computing and e-research (Ausgrid 2009).

 

Lynar, T. M., Herbert, R. D., Simon, & Chivers, W. J. (2009). Why Decide: Is a users estimation of job completion time necessary in grid resource allocation? Paper presented at the 18th World IMACS Congress and MODSIM09 International Congress on Modelling and Simulation.

 

Lynar, T. M., & Herbert, R. D. (2009). Allocating grid resources for speed and energy conservation. Paper presented at The 6th International Conference on Information Technology and Applications ICITA09, Hanoi University of Technology. Hanoi, Vietnam.

 

Lynar, T. M., Herbert, R. D., & Chivers, W. J (2007). Implementing an agent based auction model on a cluster of inexpensive heterogeneous Workstations. Paper presented at the Modelling and Simulation Society of Australia and New Zealand (MODSIM).

 

 

Refereed Journal Articles

Hettiarachchige C, von Cavallar S, Lynar T, Hickson RI, Gambhir M (2018) Risk prediction system for dengue transmission based on high resolution weather data. PLOS ONE 13(12).

 

Lynar, T. M., & Nelson, M. D. (2015). Blue Gene/Q Defragmentation For Energy Waste Minimisation. The Journal of Supercomputing 71(1): 202-216. [C1]

 

Lynar,T. Steer, K. Eng, F., O. Smith (2014). Resilient heterogeneous power and energy constrained computing. Energy Systems. 5(1), 145-161. [C1]

 

Lynar, T., Simon, Herbert, R. D., & Chivers, W. J. (2013). Reducing Energy Consumption in Distributed Computing. Through Economic Resource Allocation. International Journal of Grid and Utility Computing (IJGUC) (4) 4, 231-241. [C1]

 

Lynar, T., Simon, Herbert, R. D., & Chivers, W. J. (2011). Resource allocation to conserve energy in distributed computing. International Journal of Grid and Utility Computing (IJGUC). (1)2, 1-10. [C1]

 

Lynar, T. M., Herbert, R. D., Simon, & Chivers, W. J. (2010). Clustering obsolete computers to reduce e-waste. International Journal of Information Systems and Social Change, 1(1), 1-10. [C1]

 

Lynar, T. M., Herbert, R. D., & Chivers, W. J. (2009). Implementing an agent based auction model on a cluster of reused workstations. International Journal of Computer Applications in Technology, 34(4), 230 - 234. [C1]

 

 

 

Patents

Issued US patents. Pending patent applications are not listed. Non-US patents are not listed.

 

US 0,201,307 - System and method to measure, analyze, and model pulmonary function and disease utilizing temporal, spatial, and contextual data

US 0,109,214 - Cognitive bias determination and modeling

US 0,109,110 - Reality augmentation to eliminate, or de-emphasize, selected portions of base image

US 0,067,935 - Prediction and optimized prevention of bullying and other counterproductive interactions in live and virtual meeting contexts

US 0,065,562 - Vehicle collision avoidance

US 0,049,286 - Image-based risk estimation

US 0,043,548 - Creating a work based on cognitive state

US 0,032,352 - System and method for wearable indication of personal risk within a workplace

US 0,025,639 - Energy efficient supercomputer job allocation

US 9,953,029 - Prediction and optimized prevention of bullying and other counterproductive interactions in live and virtual meeting contexts

US 9,947,229 - Managing flight paths of a soaring aircraft

US 9,934,674 - Informing first responders based on incident detection, and automatic reporting of individual location and equipment state

US 9,916,317 - Data transfer optimization through destination analytics and data de-duplication

US 9,848,269 - Predicting harmful noise events and implementing corrective actions prior to noise induced hearing loss

US 9,789,870 - In-vehicle drive pattern optimization for reduced road wear

US 9,762,655 - Directing communications to nodes of a social network using an elastic map

US 9,760,686 - Balanced ultraviolet light exposure recommendations

US 9,742,618 - Resilient routing based on a multi-channel model for emergency management

US 9,722,854 - Resilient routing based on a multi-channel model for emergency management

US 9,691,262 - Informing first responders based on incident detection, and automatic reporting of individual location and equipment state

US 9,672,733 - Heavy vehicle traffic flow optimization

US 9,633,538 - System and method for wearable indication of personal risk within a workplace

US 9,590,917 - Optimally provisioning and merging shared resources to maximize resource availability

US 9,576,083 - Automatic driver modeling for integration of human-controlled vehicles into an autonomous vehicle network

US 9,554,744 - Mining social media for ultraviolet light exposure analysis

US 9,481,460 - Drone-based microbial analysis system

US 9,460,047 - Estimating the time until a reply email will be received using a recipient behavior model

US 9,447,448 - Drone-based microbial analysis system

US 9,442,885 - Estimating the time until a reply email will be received using a recipient behavior model

US 9,417,928 - Energy efficient supercomputer job allocation

US 9,361,409 - Automatic driver modeling for integration of human-controlled vehicles into an autonomous vehicle network

US 9,354,684 - Utility aware uninterruptible power supplies for computing facilities

US 9,292,635 - System and method for collaborative vehicle crash planning and sequence deployment

US 9,280,385 - Optimally provisioning and merging shared resources to maximize resource availability

US 9,178,751 - Resilient routing based on a multi-channel model for emergency management

US 9,153,129 - In-vehicle drive pattern optimization for reduced road wear

US 9,148,336 - Resilient routing based on a multi-channel model for emergency management

US 9,146,895 - Estimating the time until a reply email will be received using a recipient behavior model

US 9,111,443 - Heavy vehicle traffic flow optimization

US 9,110,661 - Mobile device offloading task to a peer device and receiving a completed task when energy level is below a threshold level

US 9,108,582 - System and method for collaborative vehicle crash planning and sequence deployment

US 9,104,412 - Mobile device offloading its task to a peer device when available power is below a threshold level

US 9,042,386 - Data transfer optimization through destination analytics and data de-duplication

US 8,943,361 - Geospatial optimization for resilient power management equipment

US 8,860,578 - Radio-based heat and fire detection pellets

US 8,818,670 - Wear leveling for road life optimization

US 8,676,442 - In-vehicle drive pattern optimization for reduced road wear