Anthony Finn

Research Interests

Acoustics Artificial Intelligence & Image Processing Photogrammetry and Remote Sensing Robotics and Automation

Prof Anthony Finn

Professor

School of Electrical and Mechanical Engineering

College of Engineering and Information Technology

Eligible to supervise Masters and PhD - email supervisor to discuss availability.

Available For Media Comment.

I joined the University of South Australia in 2010 as a Research Professor of Autonomous Systems at the Defence And Systems Institute (DASI) and was appointed Director in 2012. I graduated from Cambridge University in 1989 with a PhD in Engineering. Before moving to South Australia to join the Defence Science and Technology Organisation in 1991, I worked as a research consultant for a number of commercial and government organisations in Europe.
I have published two books and authored around 300 peer-reviewed book chapters, journal articles, research reports, and conference papers. My research has also informed governmental and international bodies and been cited as evidence in a number of criminal trials. I am on the editorial board of three academic journals and have received a number of international awards for my research.
My current research interests are in the application and integration of Autonomous and Unmanned Systems, but I have a wide range of technical expertise in other fields including: remote sensing; radio wave and acoustic propagation; atmospheric modelling; tracking, target motion analysis and geolocation; geodetic surveying; satellite navigation; electronic warfare (EW); communications; spacecraft design and environmental test; hardware-in-the-loop (HITL) simulation; systems engineering; and, systems of systems integration.

Robotics and Autonomous Systems

Systems of Autonomous Systems

Unmanned Vehicle Systems

Intelligent Decision-Making Technology

Systems Engineering/Integration

Technology Transition

Date Position Institution name
2011 - 2020 Director, Defence & Systems Institute University of South Australia
2010 - ongoing Professor, Autonomous Systems University of South Australia
2002 - 2010 Head, Automation of the Battlespace Defence Science and Technology Group
1999 - 2001 Head, Strategic & Land Electronic Warfare Defence Science and Technology Group
1998 - 1999 Head, Navigation Systems Defence Science and Technology Group
1991 - 1995 Research Scientist Defence Science and Technology Group

Language Competency
English Can read, write, speak, understand spoken and peer review

Date Institution name Country Title
1985 - 1989 University of Cambridge United Kingdom PhD

Year Citation
2024 Al Shimaysawee, L. A. H., Finn, A., Weber, D., Schebella, M. F., & Brinkworth, R. S. A. (2024). Evaluation of automated object-detection algorithms for koala detection in infrared aerial imagery. Sensors, 24(21), 1-32.
DOI Scopus2 WoS1
2024 Santoso, F., & Finn, A. (2024). Trusted operations of a military ground robot in the face of man-in-the-middle cyber-attacks using deep learning convolutional neural networks: real-time experimental outcomes. Ieee Transactions On Dependable And Secure Computing, 21(4), 2273-2284.
DOI Scopus16 WoS10
2024 Santoso, F., & Finn, A. (2024). An in-depth examination of artificial intelligence-enhanced cybersecurity in robotics, autonomous systems, and critical infrastructures. IEEE Transactions on Services Computing, 17(3), 1293-1310.
DOI Scopus15 WoS10
2023 Santoso, F., & Finn, A. (2023). A data-driven cyber-physical system using deep-learning convolutional neural networks: study on false-data injection attacks in an unmanned ground vehicle under fault-tolerant conditions. IEEE Transactions On Systems Man Cybernetics-Systems, 53(1), 346-356.
DOI Scopus40 WoS33
2023 Finn, A., Peters, S., Kumar, P., & O'Hehir, J. (2023). Automated georectification, mosaicking and 3D point cloud generation using UAV-based hyperspectral imagery observed by line scanner imaging sensors. Remote Sensing, 15(18), 1-23.
DOI Scopus7 WoS2
2022 Finn, A., Kumar, P., Peters, S., & O'Hehir, J. (2022). Unsupervised spectral-spatial processing of drone imagery for identification of pine seedlings. ISPRS Journal of Photogrammetry and Remote Sensing, 183, 363-388.
DOI Scopus17 WoS17
2022 Melville Smith, A., Finn, A., Uzair, M., & Brinkworth, R. S. A. (2022). Exploration of motion inhibition for the suppression of false positives in biologically inspired small target detection algorithms from a moving platform. Biological Cybernetics, 116(5-6), 661-685.
DOI Scopus4 WoS2 Europe PMC2
2022 Skelton, P. S. M., Finn, A., & Brinkworth, R. S. A. (2022). Contrast independent biologically inspired translational optic flow estimation. Biological Cybernetics, 116(5/6), 635-660.
DOI Scopus1 WoS1 Europe PMC1
2022 Fang, J., Finn, A., Wyber, R., & Brinkworth, R. S. A. (2022). Acoustic detection of unmanned aerial vehicles using biologically inspired vision processing. Journal of the Acoustical Society of America, 151(2), 968-981.
DOI Scopus21 WoS15 Europe PMC2
2021 Rogers, K. J., & Finn, A. (2021). Methodology improvements for three-dimensional UAV-based travel-time acoustic atmospheric tomography. Journal of Atmospheric and Oceanic Technology, 38(12), 2147-2163.
DOI
2021 Ostashev, V. E., Kamrath, M. J., Wilson, D. K., White, M. J., Hart, C. R., & Finn, A. (2021). Vertical and slanted sound propagation in the near-ground atmosphere: Coherence and distributions. Journal of the Acoustical Society of America, 150(4), 3109-3126.
DOI Scopus17 WoS13 Europe PMC4
2021 Kamrath, M. J., Ostashev, V. E., Wilson, D. K., White, M. J., Hart, C. R., & Finn, A. (2021). Vertical and slanted sound propagation in the near-ground atmosphere: amplitude and phase fluctuations. Journal of the Acoustical Society of America, 149(3), 2055-2071.
DOI Scopus22 WoS19 Europe PMC7
2021 Peters, S., Liu, J., Bruce, D., Li, J., Finn, A., & O’Hehir, J. (2021). Research note: cost-efficient estimates of Pinus radiata wood volumes using multitemporal LiDAR data. Australian Forestry, 84(4), 206-214.
DOI Scopus4 WoS4
2021 Uzair, M., SA Brinkworth, R., & Finn, A. (2021). A bio-inspired spatiotemporal contrast operator for small and low-heat-signature target detection in infrared imagery. Neural Computing and Applications, 33(11), 7311-7324.
DOI Scopus16 WoS13
2021 Uzair, M., Brinkworth, R., & Finn, A. (2021). Detecting Small Size and Minimal Thermal Signature Targets in Infrared Imagery Using Biologically Inspired Vision. Sensors, 21(5), 18 pages.
DOI Scopus12 WoS11 Europe PMC4
2020 Uzair, M., Brinkworth, R. S. A., & Finn, A. (2020). Bio-inspired video enhancement for small moving target detection. IEEE Transactions on Image Processing, 30, 1232-1244.
DOI Scopus36 WoS30 Europe PMC6
2020 Badriasl, L., Arulampalam, S., Nguyen, N. H., & Finn, A. (2020). An algebraic closed-form solution for bearings-only maneuvering target motion analysis from a nonmaneuvering platform. IEEE Transactions on Signal Processing, 68, 4672-4687.
DOI Scopus15 WoS12
2019 Badriasl, L., Arulampalam, S., van der Hoek, J., & Finn, A. (2019). Bayesian WIV estimators for 3-D bearings-only TMA with speed constraints. IEEE transactions on signal processing, 67(13), 3576-3591.
DOI Scopus23 WoS18
2019 Skelton, P. S. M., Finn, A., & Brinkworth, R. S. A. (2019). Consistent estimation of rotational optical flow in real environments using a biologically-inspired vision algorithm on embedded hardware. Image and vision computing, 92(103814), 1-13.
DOI Scopus12 WoS11
2019 Ostashev, V. E., Wilson, D. K., Finn, A., & Barlas, E. (2019). Theory for spectral broadening of narrowband signals in the atmosphere and experiment with an acoustic source onboard an unmanned aerial vehicle. Journal of the Acoustical Society of America, 145(6), 3703-3714.
DOI Scopus3 WoS3 Europe PMC2
2018 Badriasl, L., Arulampalam, S., & Finn, A. (2018). A novel batch Bayesian WIV estimator for three dimensional TMA using bearing and elevation measurements. IEEE transactions on signal processing, 66(4, article no. 8115224), 1023-1036.
DOI Scopus23 WoS19
2017 Finn, A., & Rogers, K. (2017). An acoustic tomography technique for concurrently observing the structure of the atmosphere and water bodies. Journal of Atmospheric and Oceanic Technology, 34(3), 617-629.
DOI Scopus4 WoS3
2017 Rogers, K. J., & Finn, A. (2017). Accurate group velocity estimation for unmanned aerial vehicle-based acoustic atmospheric tomography. Journal of the Acoustical Society of America, 141(2), 1269-1281.
DOI Scopus6 WoS6 Europe PMC1
2017 Finn, A., Rogers, K., Rice, F., Meade, J., Holland, G., & May, P. (2017). A comparison of vertical atmospheric wind profiles obtained from monostatic sodar and unmanned aerial vehicle-based acoustic tomography. Journal of atmospheric and oceanic technology, 34(10), 2311-2328.
DOI Scopus9 WoS6
2016 Finn, A., & Rogers, K. (2016). Improving unmanned aerial vehicle-based acoustic atmospheric tomography by varying the engine firing rate of the aircraft. Journal of Atmospheric and Oceanic Technology, 33(4), 803-816.
DOI Scopus11 WoS9
2016 Finn, A., & Rogers, K. (2016). Accuracy requirements for unmanned aerial vehicle-based acoustic atmospheric tomography. Acoustical society of America, 139(4), 2097.
DOI
2016 Finn, A., & Rogers, K. (2016). Acoustic atmospheric tomography using multiple unmanned aerial vehicles. IET radar, sonar & navigation, 10(9), 1541-1551.
DOI Scopus6 WoS3
2015 Finn, A., & Rogers, K. (2015). The effect of ground sensor and UAV flight path geometry on the tomographic reconstruction of a weakly sheared daytime convective planetary boundary layer. The Journal of the Acoustical Society of America, 137(4), 2387.
DOI
2015 Finn, A., & Rogers, K. (2015). The feasibility of unmanned aerial vehicle-based acoustic atmospheric tomography. Acoustical Society of America, Journal, 138(2), 874-889.
DOI Scopus11 WoS8 Europe PMC2
2015 Badriasl, L., Sathyan, T., Arulampalam, S., & Finn, A. (2015). A novel closed-form estimator for 3D TMA using heterogeneous sensors. IEEE Transactions on Signal Processing, 63(8), 1895-1910.
DOI Scopus19 WoS18
2015 Franklin, S. J., Finn, A., & Meade, J. (2015). Time delay estimation of acoustic tones with unpredictable frequency variations under low signal to noise ratio conditions. The Journal of the Acoustical Society of America, 137(4, article no. 2437), 2437-2438.
DOI
2013 Rogers, K., & Finn, A. (2013). Three-dimensional UAV-based atmospheric tomography. Journal of atmospheric and oceanic technology, 30(2), 336-344.
DOI Scopus26 WoS21
2012 Finn, A., Jacoff, A., Del Rose, M., Kania, B., Overholt, J., Silva, U., & Bornstein, J. (2012). Evaluating autonomous ground-robots. Journal of field robotics, 29(5), 689-706.
DOI Scopus6 WoS5
2011 Finn, A. (2011). The Future of autonomous systems. The Conversation, July.
2011 Finn, A., & Grover, R. (2011). Are we ready for autonomous systems?. Ingenia online, 46(March), 5.
2010 Franklin, S. J., Finn, A., Pattison, J. E., & Jain, L. C. (2010). Motion optimization scheme for cooperative mobile robots. Studies in computational intelligence, 304, 139-173.
DOI Scopus1 WoS1
2010 Franklin, S., Finn, A., Pattison, J., & Jain, L. C. (2010). Towards scene understanding using a co-operative of robots. Journal of intelligent and fuzzy systems, 21(1/2), 101-112.
DOI Scopus2 WoS2
2008 Sathyaraj, B. M., Jain, L., Finn, A., & Drake, S. (2008). Multiple UAVs path planning algorithms: a comparative study. Fuzzy Optimization and Decision Making, 7(3), 257-267.
DOI Scopus120 WoS86
2008 Finn, R. A. (2008). Legal considerations for the weaponisation of Unmanned Ground Vehicles. International Journal of Intelligent Defence Support Systems, 1(1), 43-74.
DOI
2007 Finn, A., & Drake, S. P. (2007). Intelligent control of an autonomous cooperative of UAVs. Intelligent Decision Technologies, 1(1-2), 49-62.
DOI

Year Citation
2020 Griffiths, D., Badriasl, L., Scoleri, T., Brinkworth, R. S. A., Arulampalam, S., & Finn, A. (2020). Integration of biologically inspired pixel saliency estimation and IPDA filters for multi-target tracking. In S. Palaiahnakote, G. S. Baja, L. Wang, & W. Q. Yan (Eds.), Source details - Title: Pattern Recognition, 5th Asian Conference, ACPR 2019 (Vol. 12046 LNCS, pp. 764-778). Switzerland: Springer.
DOI
2014 Finn, A. (2014). Intelligent decision-making technology and computational ethics. In S. Moran, D. Cropley, & J. Kaufman (Eds.), Source details - Title: The ethics of creativity (pp. 187-202). UK: Palgrave Macmillan.
DOI
2010 Finn, R. A., Pattison, J., & Jain, L. (2010). A memetic cooperative optimization schema and its application to the tool switching problem. In A. Finn, & L. C. Jain (Eds.), Source details - Title: Innovations in Defence Support Systems - 1 (pp. 445-454). Berlin: Springer.
2010 Finn, A. (2010). On the transition of innovation and technology in defence. In A. Finn, & L. C. Jain (Eds.), Source details - Title: Innovations in defence support systems - 1 (Vol. 304, pp. 1-15). Germany: Springer.
DOI
2010 Finn, A., & Scheding, S. (2010). Developments and Challenges for Autonomous Unmanned Vehicles A Compendium Introduction. In DEVELOPMENTS AND CHALLENGES FOR AUTONOMOUS UNMANNED VEHICLES: A COMPENDIUM (Vol. 3, pp. 1-+). SPRINGER-VERLAG BERLIN.
2010 Finn, A., & Scheding, S. (2010). Legal Issues for UVS. In DEVELOPMENTS AND CHALLENGES FOR AUTONOMOUS UNMANNED VEHICLES: A COMPENDIUM (Vol. 3, pp. 155-+). SPRINGER-VERLAG BERLIN.
2010 Finn, A., & Scheding, S. (2010). Concluding Remarks. In DEVELOPMENTS AND CHALLENGES FOR AUTONOMOUS UNMANNED VEHICLES: A COMPENDIUM (Vol. 3, pp. 209-+). SPRINGER-VERLAG BERLIN.
2010 Finn, A., & Scheding, S. (2010). Force-Integration of UVS. In DEVELOPMENTS AND CHALLENGES FOR AUTONOMOUS UNMANNED VEHICLES: A COMPENDIUM (Vol. 3, pp. 105-+). SPRINGER-VERLAG BERLIN.
2010 Finn, A., & Scheding, S. (2010). UVS Technology Issues. In DEVELOPMENTS AND CHALLENGES FOR AUTONOMOUS UNMANNED VEHICLES: A COMPENDIUM (Vol. 3, pp. 55-+). SPRINGER-VERLAG BERLIN.
2010 Finn, A., & Scheding, S. (2010). Autonomous UVS. In DEVELOPMENTS AND CHALLENGES FOR AUTONOMOUS UNMANNED VEHICLES: A COMPENDIUM (Vol. 3, pp. 35-+). SPRINGER-VERLAG BERLIN.
2010 Finn, A., & Scheding, S. (2010). Background. In DEVELOPMENTS AND CHALLENGES FOR AUTONOMOUS UNMANNED VEHICLES: A COMPENDIUM (Vol. 3, pp. 5-+). SPRINGER-VERLAG BERLIN.
WoS4
2008 Finn, R. A. (2008). Legal Issues for Military Intelligent Decision-Making Technologies. In Source details - Title: Knowledge-Based Intelligent Information and Engineering Systems (Vol. 5177, pp. 1-13). Berlin: Tsinghua University Press & Springer-Verlag.
2006 Kunchev, V., Jain, L., Ivancevic, V., & Finn, A. (2006). Path planning and obstacle avoidance for autonomous mobile robots: a review. In Event/exhibition information: 10th International Conference, KES 2006, Bournemouth, UK, 09/10/2006-11/10/2006
Source details - Title: Knowledge-Based Intelligent Information and Engineering Systems (Vol. 4252 LNAI - II, pp. 537-544). Germany: Springer Verlag.
DOI Scopus116 WoS87

Year Citation
2025 Santoso, F., & Finn, A. (2025). Securing ROS Network Traffic Data Against Node Isolation Attacks Using a Deep Learning CNN: An Empirical Study on an Unmanned Ground Vehicle. In Proceedings of the International Joint Conference on Neural Networks (pp. 9 pages). ITALY, Rome: IEEE.
DOI
2024 Santoso, F., & Finn, A. (2024). A ROS-based data-driven motion self-recognition system using deep-learning convolutional neural networks in a military unmanned ground vehicle. In Proceedings of the International Joint Conference on Neural Networks (pp. 1-8). US: IEEE.
DOI Scopus2 WoS2
2024 Finn, A., Jia, M., Li, Y., & Yuan, J. (2024). Detecting Stealthy GPS Spoofing Attack Against UAVs Using Onboard Sensors. In IEEE INFOCOM 2024 IEEE Conference on Computer Communications Workshops INFOCOM Wkshps 2024 (pp. 1-6). IEEE.
DOI Scopus5
2024 Anderson, S., Finn, A., & Griffiths, H. (2024). Bistatic denial for HF skywave radar. In Proceedings of the IEEE Radar Conference (pp. 1-6). US: IEEE.
DOI
2023 Uzair, M., Finn, A., & Brinkworth, R. S. A. (2023). Efficient sampling of Bayer pattern for long range small target detection in color images. In International Conference Image and Vision Computing New Zealand (pp. 1-5). US: IEEE.
DOI Scopus2
2020 Skelton, P. S. M., Finn, A., & Brinkworth, R. S. A. (2020). Improving an optical flow estimator inspired by insect biology using adaptive genetic algorithms. In IEEE Congress on Evolutionary Computation, CEC 2020 - Conference Proceedings (pp. 1-10). US: IEEE.
DOI Scopus5 WoS5
2019 Uzair, M., Brinkworth, R., & Finn, A. (2019). Insect-inspired small moving target enhancement in infrared videos. In 2019 Digital Image Computing: Techniques and Applications, DICTA 2019 (pp. 1-8). US: IEEE.
DOI Scopus4 WoS1
2019 Griffiths, D., Scoleri, T., Brinkworth, R., & Finn, A. (2019). Pixel-wise infrared tone remapping for rapid adaptation to high dynamic range variations. In D. L. Hickman, & H. Bursing (Eds.), Proceedings of SPIE - The International Society for Optical Engineering Vol. 11159 (pp. 1-11). US: SPIE - The International Society for Optical Engineering.
DOI Scopus1 WoS1
2019 Melville Smith, A., Finn, A., & Brinkworth, R. S. A. (2019). Enhanced micro target detection through local motion feedback in biologically inspired algorithms. In 2019 Digital Image Computing: Techniques and Applications, DICTA 2019 (pp. 1-8). US: IEEE.
DOI Scopus6 WoS5
2019 Finn, A., Melville Smith, A., & Brinkworth, R. (2019). Extraction of vineyard macrostructure from sub-optimal sequences of aerial imagery. In ISPRS Annals of the photogrammetry, remote sensing and spatial information sciences Vol. 4 (pp. 103-110). Germany: Copernicus GmbH.
DOI Scopus2
2019 Finn, A., Rogers, K., Meade, J., Skinner, J., & Zargarian, A. (2019). Preliminary evaluation of atmospheric temperature and wind profiles obtained using unmanned aerial vehicle based acoustic tomography. In International archives of the photogrammetry, remote sensing and spatial information sciences - ISPRS archives Vol. 42 (pp. 283-287). Germany: Copernicus GmbH.
DOI Scopus2 WoS1
2019 Finn, A., Brinkworth, R., Griffiths, D., & Peters, S. (2019). Determining morphometric properties of radiata pine using long wave infrared sensing and biologically-inspired vision. In International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives Vol. 42 (pp. 277-281). Germany: Copernicus GmbH.
DOI Scopus2 WoS1
2018 Badriasl, L., Arulampalam, S., & Finn, A. (2018). A novel recursive Bayesian weighted instrumental variable estimator for 3D bearings-only TMA. In Proceedings of the 26th European Signal Processing Conference (EUSIPCO) Vol. 2018-September (pp. 276-280). US: IEEE.
DOI Scopus1 WoS1
2017 Skelton, P. S. M., Finn, A., & Brinkworth, R. S. A. (2017). Real-time visual rotational velocity estimation using a biologically-inspired algorithm on embedded hardware. In 2017 International Conference On Digital Image Computing - Techniques And Applications (Dicta) Vol. 2017-December (pp. 149-156). US: IEEE.
DOI Scopus3
2016 Finn, A., & Rogers, K. J. (2016). An analysis of unmanned aerial vehicle-based acoustic atmospheric tomography. In Proceedings of the Australasian acoustical societies conference, ACOUSTICS 2016 Vol. 1 (pp. 391-400). Australia: Australasian Acoustical Society.
Scopus1
2016 Rogers, K. J., & Finn, A. (2016). Accurate sound speed estimation for unmanned aerial vehicle-based acoustic atmospheric tomography. In Proceedings of the Australasian acoustical societies conference, ACOUSTICS 2016 Vol. 1 (pp. 419-428). Australia: Australasian Acoustical Societies.
Scopus1
2015 Franklin, S., Meade, J., & Finn, A. (2015). Time delay estimation of acoustic tones under low SNR conditions. In Acoustics 2015 (pp. 1-7). NSW, Australia: Australian Acoustical Society, New South Wales Division.
2015 Rogers, K. J., Rice, F., & Finn, A. (2015). UAV-based atmospheric tomography using Large Eddy Simulation data. In 2015 IEEE Tenth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP) (pp. 1-6). Piscataway, US: IEEE.
DOI Scopus4 WoS3
2014 Finn, A., Rogers, K., Meade, J., & Franklin, S. (2014). Acoustic atmospheric tomography using multiple unmanned aerial vehicles. In A. Comeron (Ed.), Proceedings of SPIE Vol. 9242 (pp. 1-7). US: Proceedings of SPIE.
DOI Scopus5 WoS1
2014 Rogers, K., & Finn, A. (2014). 3D Acoustic Atmospheric Tomography. In Proceedings of SPIE Vol. 9242 (pp. 1-9). Netherlands: SPIE.
DOI Scopus9 WoS2
2013 Badriasl, L., Kennedy, H., & Finn, A. (2013). Effects of coordinate system rotation on two novel closed-from localization estimators using azimuth/elevation. In Proceedings of the 16th International Conference on Information Fusion (FUSION 2013) (pp. 1797-1804). US: IEEE Press.
Scopus19 WoS14
2013 Rogers, K. J., & Finn, R. A. (2013). 3D Atmospheric Tomography using UAVs. In T. McMinn (Ed.), Proceedings of Acoustics 2013 Victor Harbor: Science, Technology and Amenity Annual Conference of the Australian Acoustical Society (pp. 1-5). South Australia: Australian Acoustical Society, South Australian Division.
2013 Rogers, K. J., & Finn, A. (2013). Frequency estimation for 3D atmospheric tomography using unmanned aerial vehicles. In Proceedings of the International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP) 2013 Vol. 1 (pp. 390-395). US: IEEE.
DOI Scopus15 WoS4
2013 Rogers, K., & Finn, A. (2013). 3D atmospheric tomography using uavs. In Annual Conference of the Australian Acoustical Society 2013 Acoustics 2013 Science Technology and Amenity (pp. 52-56).
Scopus3
2012 Del, R. M., Finn, R. A., & Kania, B. (2012). Measures for UGV to UGV collaboration. In Proceedings of the workshop on performance metrics for intelligent systems (pp. 53-58). New York: Association for Computing Machinery.
DOI
2011 Finn, A., & Franklin, S. (2011). Acoustic sense & avoid for UAV's. In Proceedings of the 7th International Conference on Intelligent Sensors, Sensor Networks and Information Processing (pp. 586-589). US: IEEE.
DOI Scopus37
2011 Finn, A., & Franklin, S. (2011). UAV-based atmospheric tomography. In D. J. Lee, & I. D. Hillock (Eds.), Acoustics 2011: Breaking New Ground : Proceedings of the Annual Conference of the Australian Acoustical Society (pp. 1-5). Australia: Australian Acoustical Society.
2011 Finn, A., & Franklin, S. (2011). UAV-based atmospheric tomography. In Australian Acoustical Societyconference 2011 Acoustics 2011 Breaking New Ground (pp. 636-640).
Scopus11
2009 Dogancay, K., Hmam, H., Drake, S., & Finn, A. (2009). Centralized path planning for unmanned aerial vehicles with a heterogeneous mix of sensors. In S. Marusic, M. Palaniswami, J. Gubbi, & Y. Law (Eds.), Proceedings of 2009 Fifth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP) (pp. 91-96). Online: IEEE.
DOI Scopus14 WoS6
2009 Dogancay, K., Hmam, H., Drake, S. P., & Finn, A. (2009). Centralized Path Planning for Unmanned Aerial Vehicles with A Heterogeneous Mix of Sensors. In S. Marusic, M. Palaniswami, J. Gubbi, & Y. W. Law (Eds.), PROCEEDINGS OF THE 2009 FIFTH INTERNATIONAL CONFERENCE ON INTELLIGENT SENSORS, SENSOR NETWORKS AND INFORMATION PROCESSING (pp. 91-96). San Diego, CA: IEEE.
WoS1
2007 Finn, R. A., Kabacinski, K., & Drake, S. (2007). Design Challenges for an Autonomous Cooperative of UAVs. In I. IEEE (Ed.), Conference Proceedings of 2007 Information, Decision and Control (pp. 160-169). US: IEEE.
DOI Scopus15 WoS4
2005 Drake, S., Brown, K., Fazackerley, J., & Finn, R. A. (2005). Autonomous control of multiple UAVs for the passive location of radars. In I. IEEE (Ed.), Proceedings of the 2005 Intelligent Sensors, Sensor Networks and Information Processing Conference Vol. 2005 (pp. 403-409). US: IEEE.
DOI Scopus31 WoS16
2004 Finn, A., Gibard, J. P., Dutton, M., Brown, K., Drake, S., Bailey, A., . . . Sutcliffe, J. (2004). Automation of the battlespace: An integrated air-ground, multi-vehicle, multi-sensor, autonomous UVS demonstration. In Auvsi S Unmanned Systems North America 2004 Proceedings (pp. 1993-2005).
Scopus2
2001 Finn, A., Chalmers, G., & Pincombe, A. (2001). Force level EW in the Australian Defence Force. In R. Suresh (Ed.), Proceedings of SPIE the International Society for Optical Engineering Vol. 4396 (pp. 124-132). FL, ORLANDO: SPIE-INT SOC OPTICAL ENGINEERING.
DOI Scopus1
1996 Knight, M., & Finn, A. (1996). Impact of ionospheric scintillations on GPS performance. In Proceedings of Ion GPS Vol. 1 (pp. 555-564).
Scopus10

Year Citation
2024 Finn, A., O'Hehir, J., Schebella, D., & Jenkin, B. (2024). Multispectral assessment of treatments for tillage and forestry harvesting residues: Corporate body:National Institute for Forest Products Innovation (NIFPI) commissioning body. Australia: National Institute for Forest Products Innovation (NIFPI).
DOI
2024 Finn, A., Younger, J., Peters, S., OHehir, J., Lucieer, A., & Turner, D. (2024). 3D Point Cloud Fusion Using Aerial and Terrestrial Laser Scanning. Australia: FWPA.
2024 Younger, J., Turner, D., Lucieer, A., Finn, A., Andriolo, S., Peters, S., & OHehir, J. (2024). Geospatial Positioning and Fusion: is real-time sub-metre, accuracy operationally feasible in forestry environments?. Australia: FWPA.
2023 Finn, A., Peters, S., OHehir, J., Lucieer, A., & Turner, D. (2023). Design of Canopy Scenarios and Identification of Trial Sites and Procedures. Australia: NIFPI.
2023 Finn, A., Peters, S., OHehir, J., Lucieer, A., & Turner, D. (2023). Geospatial positioning and fusion: is real-time sub-metre, accuracy operationally feasible in forestry environments? Systems analysis and benchmarking of grower needs. Australia: FWPA.
2021 Santoso, F., & Finn, A. (2021). Trusted operations for robotics vehicles in contested environments: project deliverable 3: Corporate body:US Army TARDEC Ground Vehicle Robotics commissioning body. Australia: University of South Australia, Defence and Systems Institute.
2019 Finn, A. (2019). Trusted operations for robotic vehicles in contested environments (Project Deliverable 2). Australia: University of South Australia.
2019 Badriasl, L., Arulampalam, S., & Finn, A. (2019). Statistical inference techniques for three-dimensional passive tracking: Observability measure based on conditional posterior cramér-rao lower bounds and measure of nonlinearity for 3-D angle-only tracking problem: theory and results. Australia: University of South Australia.
2019 Badriasl, L., Arulampalam, S., & Finn, A. (2019). Statistical inference techniques for three-dimensional passive tracking: Observability measure based on conditional posterior cramér-rao lower bounds and measure of nonlinearity for 3D bearings-only tracking problem: theory and preliminary results. Australia: University of South Australia.
2019 Badriasl, L., Arulampalam, S., & Finn, A. (2019). Statistical inference techniques for three-dimensional passive tracking: Stationary target detectors for target motion analysis: theory and results. Australia: University of South Australia.
2018 Badriasl, L., Arulampalam, S., & Finn, A. (2018). Statistical inference techniques for three-dimensional passive tracking: Stationary Target detectors for passive tracking problem: theory. Australia: University of South Australia.
2018 Badriasl, L., Arulampalam, S., & Finn, A. (2018). Pseudolinear and Instrumental Variables Kalman Filter for 3D Bearings-only Tracking Problem: theory. Australia: unpublished.
2017 Badriasl, L., Arulampalam, S., & Finn, A. (2017). 3D constrained, manoeuvring and multi-target tracking using bearing and elevation measurements: milestone F: multi-target tracking in clutter using linear multi-target integrated probabilistic data association-interacting multiple model. Australia.
2017 Badriasl, L., Arulampalam, S., & Finn, A. (2017). 3D constrained, manoeuvring and multi-target tracking using bearing and elevation measurements: milestone E: multi-target tracking in clutter using integrated probabilistic data association. Australia.
2016 Badriasl, L., Arulampalam, S., & Finn, A. (2016). 3D constrained, manoeuvring and multi-targettracking using bearing and elevation measurements: milestone B: Bayesian weighted instrumental variable estimators with equality and inequality speed constraint for 3D bearings-only TMA problem. Australia.
2016 Badriasl, L., Arulampalam, S., & Finn, A. (2016). Three-dimensional constrained, maneuvering and multi-target tracking using bearing and elevation measurements: milestone A: WIV under linear equality and inequality constraints. Australia.
2016 Badriasl, L., Arulampalam, S., & Finn, A. (2016). 3D constrained, manoeuvring and multi-targettracking using bearing and elevation measurements: milestone C: tracking a manoeuvring target using interacting multiple model for the 3D bearings-only TMA problem. Australia.
2016 Finn, A., Rogers, K., & Rice, F. (2016). Detection of wind shear using aircraft-based acoustic atmospheric tomography. Australia: Sir Ross & Sir Keith Smith Fund.
2015 Badriasl, L., Arulampalam, S., & Finn, A. (2015). An efficient algorithm for three-dimensional passive tracking: milestone A. Australia.
2015 Badriasl, L., Arulampalam, S., & Finn, A. (2015). An efficient Algorithm for Three-dimensional Passive Tracking: Milestone B. Australia.
2014 Finn, A., & Mekdeci, B. (2014). Trusted autonomy. Australia: University of South Australia.
2011 Finn, R. A., McCleery, G. K., & Campbell, A. P. (2011). Autonomous systems: phase 1 scoping study report. South Australia: unknown.
2011 Finn, A. (2011). Implications for autonomy and autonomous systems. Australia: University of South Australia.

Year Citation
2020 Brinkworth, R., Finn, A., Griffiths, D., & Skelton, P. S. M. (2020). 2020900764, A data processing method.

  • Koala Detection using Biologically Inspired Vision, Forest and Wood Products Australia, 18/06/2024 - 31/05/2027

  • Remote Sensing-Derived Biodiversity Indicators for Scalable Forest Plantation Monitoring – Pilot Case Study, PF Olsen (Aus) Pty Ltd, 25/06/2025 - 31/12/2026

  • Operational Transition of PINT Software, Forest and Wood Products Australia, 01/01/2024 - 01/03/2026

  • Weed Identification Using Remote Sensing, Forest and Wood Products Australia, 05/06/2023 - 30/09/2025

  • Drone Observations of Alyxia Buxifolia for Green Adelaide, Green Adelaide Board, 18/02/2022 - 30/06/2022

  • Biologically Inspired Robust Target Isolation and Classification, Defence Science and Technology Group, 20/04/2020 - 30/05/2022

  • Bio-Acoustic Integrated Counter Remotely Piloted Aircraft Technology, Defence Science and Technology Group, 13/12/2017 - 30/06/2021

  • Neural Network based threat assessment and identification from Bio-inspired high dynamic range imagery, Exablaze Pty Ltd, 20/02/2019 - 31/12/2019

  • Use of unmanned air vehicles for early, real time detection of extreme weather events in vineyards USA1601., Australian Grape and Wine Authority, 01/08/2016 - 30/06/2019

  • Wind Shear Detection (Phase 2) - Sir Ross & Sir Keith Smith Fund, Sir Ross & Sir Keith Smith Fund, 01/01/2017 - 30/09/2017

  • 3D Constrained, Manoeuvring and Multi-target Tracking, Cwth Dept of Defence, 24/02/2016 - 31/08/2017

  • 3D atmospheric acoustic tomography using unmanned aerial vehicles, ARC - Linkage Project, 28/05/2014 - 30/06/2017

Courses I teach

  • ENGG 4009 Engineering Honours Project A (2025)
  • ENGG 4010 Engineering Honours Project B (2025)
  • ENGG 4010 Engineering Honours Project B (2024)
  • ENGG 5032 System Engineering Project Extension (2024)
  • ENGG 5033 System Engineering Project (2024)

Date Role Research Topic Program Degree Type Student Load Student Name
2017 Principal Supervisor A comparison of inversion techniques for UAV-based acoustic atmospheric tomography Master of Research (Mech and Manuf Eng) Master Part Time Mr Amirhossein Zargarian
2017 Co-Supervisor Establishing trust in autonomous systems a neurocognitive investigation into the role of human factors Doctor of Philosophy Doctorate Part Time Daniel Rogers
2013 Principal Supervisor Government policy and industry development in the national interest - the Australian aerospace industry as a case study Doctor of Philosophy Doctorate Part Time Mr Peter Alexander Smith

Date Role Committee Institution Country
2022 - 2024 Board Member Member of ARC College of Experts University of South Australia Australia

Date Role Membership Country
1988 - ongoing Member Institute of Navigation -

Date Institution Department Organisation Type Country
2011 - 2014 Department of Defence Defence Materiel Organisation - Australia

Date Role Editorial Board Name Institution Country
2010 - ongoing Associate Editor Journal of Intelligent & Robotic Systems University of South Australia Australia

Date Engagement Type Partner Name
2022 - ongoing Collaboration evoSonic
2018 - 2022 Research Contract US Army DEVCOM
2017 - ongoing Research Contract OneFortyOne, FPC, FCNSW, TTPL, ForestrySA, Reliance forest Fibre, HQP, HVP
2016 - 2023 Collaboration National Renewable Energy Laboratory
2015 - 2020 Research Contract Pernod Ricard
2015 - 2020 Research Contract Penfolds
2013 - 2023 Collaboration National Center for Atmospheric Research
2010 - ongoing Research Contract Defence Science & Technology Group

Date Title Type Institution Country
1996 - ongoing Australian Research Council Grant Assessment University of South Australia Australia

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