Alireza Bab-Hadiashar

Professor Alireza Bab-Hadiashar

Research Leader

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Profile photo of Professor Alireza Bab-Hadiashar. Alireza is standing in front of a window, standing straight on to the camera and looking off to the side. Outside the window is a cityscape with a sunset sky (pink to blue gradient). Multi-story buildings can be seen in the distance with some floors having their lights on.

Contact details

STEM College | School of Engineering


Intelligent Automation Research Group


Emailalireza.bab-hadiashar@rmit.edu.au


Phone: +61 39925 6192 


Campus: Melbourne City


Programs

More information

Profile photo of Professor Alireza Bab-Hadiashar. Alireza is standing in front of a window, standing straight on to the camera and looking off to the side. Outside the window is a cityscape with a sunset sky (pink to blue gradient). Multi-story buildings can be seen in the distance with some floors having their lights on.

Contact details

STEM College | School of Engineering


Intelligent Automation Research Group


Emailalireza.bab-hadiashar@rmit.edu.au


Phone: +61 39925 6192 


Campus: Melbourne City


Programs

More information

Professor Alireza Bab-Hadiashar is a versatile engineering academic with significant industrial research experience and knowledge.

Overview

Bab-Hadiashar works in areas of computer vision, intelligent automation and mechatronics design. He started his academic journey as a postdoctoral research fellow at Monash University, followed by a teaching and research position at Swinburne University of Technology, where he was promoted to the Associate Professor role in 2004. In 2009, he had the opportunity to work at the University of Copenhagen (Denmark) for a year, conducting research in the biomedical imaging area. Since joining RMIT in 2011 as a Professor of Mechatronics, he has had ample opportunities to engage in academic and applied research and has successfully played significant roles in discipline leadership, research management, establishment of autonomous and intelligent automation research groups as well as teaching and program leadership.

Bab-Hadiashar is currently leading the Intelligent Automation Research Group at the School of Engineering at RMIT University. He is program manager for the Master of Robotics and Mechatronics Engineering program. He has been very fortunate with research facilities and mentorship early in his career. His PhD was undertaken at Monash University at the Intelligent Robotic Research Centre, under the supervision of late Prof. Ray Jarvis and Prof David Suter, who has remained a wonderful mentor to this day.

Web

Industry experience

Employment history

  • Postdoctoral Research Associate, Monash University (1997-1999)
  • Lecturer, Swinburne University of Technology (1999-2001)
  • Senior Lecturer, Swinburne University of Technology (2002-2004)
  • Associate Professor, Swinburne University of Technology (2004-2011)
     

Professional interests

  • Senior member of IEEE since 2005
  • Member of organisation committee, program committee and invited speaker of international conferences including ICIP, ACCV, ACRA, ICINCO and IScIDE.
  • FIEAust (invited 2008 - not active)
Web

Research

Bab-Hadiashar has been designing, developing and applying significant and ubiquitous data analysis concepts for over two decades to improve the economy, environment, and health. His latest industry related project, in which he is the main CI, links experts in the fields of i4.0, automated machine vision, AI, structural mechanics and materials science with Ford Australia and USA. The collaborative effort is aimed at improving the design and quality control of new joining techniques, which are essential for lightening of the complex structures including new types of vehicles.

Research keywords

Computer Vision, AI, Robotics, Machine Vision, Mechatronics, Automation, Mobile Robots

Research output summary

144

Publications

8

Projects

3

Awards

Web

Supervisor interest areas

  • Computer Vision
  • Industrial Inspection
  • Biomedical Imaging

Supervisor projects

  • Computer vision for Safe Transportation 
  • Automated inspection for Advanced Manufacturing Process 
  • Cancer Detection Using CT Images 

Feature publications

Robust optic flow computation

International Journal of Computer Vision, 29(1), Pages 59-77

A. Bab-Hadiashar, D. Suter. (1998).

Data segmentation and model selection for computer vision: a statistical approach

Springer Science & Business Media, ISBN : 978-1-4684-9508-9

A. Bab-Hadiashar, D. Suter. (2000).

Motion segmentation of rgb-d sequences: Combining semantic and motion information using statistical inference

IEEE Transactions on Image Processing 29, 5557-5570

S. Muthu,..., A. Bab-Hadiashar. (2020).

Key publications by year

  • S. Ali et al., "Automatic segmentation for synchrotron-based imaging of porous bread dough using deep learning approach," Journal of Synchrotron Radiation, Article vol. 28, pp. 566-575, 2021.
  • A. Assadzadeh, M. Arashpour, A. Bab-Hadiashar, T. Ngo, and H. Li, "Automatic far-field camera calibration for construction scene analysis," Computer-Aided Civil and Infrastructure Engineering, Article vol. 36, no. 8, pp. 1073-1090, 2021.
  • W. Chuah, R. Tennakoon, R. Hoseinnezhad, and A. Bab-Hadiashar, "Deep Learning-Based Incorporation of Planar Constraints for Robust Stereo Depth Estimation in Autonomous Vehicle Applications," IEEE Transactions on Intelligent Transportation Systems, Article 2021, doi: 10.1109/TITS.2021.3060001. 
  • A. K. Gostar et al., "Centralized Cooperative Sensor Fusion for Dynamic Sensor Network with Limited Field-of-View via Labeled Multi-Bernoulli Filter," IEEE Transactions on Signal Processing, Article vol. 69, pp. 878-891, 2021, Art no. 9311857, doi: 10.1109/TSP.2020.3048595. 
  • N. Ishtiaq, S. Panicker, A. K. Gostar, A. Bab-Hadiashar, and R. Hoseinnezhad. Selective Sensor Control via Cauchy Schwarz Divergence, Smart Innovation, Systems and Technologies, vol. 182, pp. 113-124, 2021.
  • S. Korevaar et al., "Incidental detection of prostate cancer with computed tomography scans," Scientific Reports, Article vol. 11, no. 1, 2021, Art no. 7956, doi: 10.1038/s41598-021-86972-y. 
  • D. Phan, A. Bab-Hadiashar, M. Fayyazi, R. Hoseinnezhad, R. N. Jazar, and H. Khayyam, "Interval Type 2 Fuzzy Logic Control for Energy Management of Hybrid Electric Autonomous Vehicles," IEEE Transactions on Intelligent Vehicles, Article vol. 6, no. 2, pp. 210-220, 2021, Art no. 9149783, doi: 10.1109/TIV.2020.3011954. 
  • M. Shoaib, E. Asadi, J. Cheong, and A. Bab-Hadiashar, "Cable Driven Rehabilitation Robots: Comparison of Applications and Control Strategies," IEEE Access, Article vol. 9, pp. 110396-110420, 2021, Art no. 9504529, doi: 10.1109/ACCESS.2021.3102107. 
  • A. Asadzadeh, M. Arashpour, H. Li, T. Ngo, A. Bab-Hadiashar, and A. Rashidi, "Sensor-based safety management," Automation in Construction, Review vol. 113, 2020, Art no. 103128, doi: 10.1016/j.autcon.2020.103128. 
  • A. K. Gostar et al., "Cooperative sensor fusion in centralized sensor networks using Cauchy–Schwarz divergence," Signal Processing, Article vol. 167, 2020, Art no. 107278, doi: 10.1016/j.sigpro.2019.107278. 
  • H. Khayyam et al., "A Novel Hybrid Machine Learning Algorithm for Limited and Big Data Modeling with Application in Industry 4.0," IEEE Access, Article vol. 8, pp. 111381-111393, 2020, Art no. 9108222, doi: 10.1109/ACCESS.2020.2999898. 
  • S. A. Mohseni, H. R. Wu, J. A. Thom, and A. Bab-Hadiashar, "Recognizing induced emotions with only one feature: A novel color histogram-based system," IEEE Access, Article vol. 8, pp. 37173-37190, 2020, Art no. 9004613, doi: 10.1109/ACCESS.2020.2975174. 
  • S. Muthu, R. Tennakoon, T. Rathnayake, R. Hoseinnezhad, D. Suter, and A. Bab-Hadiashar, "Motion Segmentation of RGB-D Sequences: Combining Semantic and Motion Information Using Statistical Inference," IEEE Transactions on Image Processing, Article vol. 29, pp. 5557-5570, 2020, Art no. 9059041, doi: 10.1109/TIP.2020.2984893. 
  • S. Panicker, A. K. Gostar, A. Bab-Hadiashar, and R. Hoseinnezhad, "Tracking of targets of interest using labeled multi-Bernoulli filter with multi-sensor control," Signal Processing, Article vol. 171, 2020, Art no. 107451, doi: 10.1016/j.sigpro.2019.107451. 
  • D. Phan et al., "Neuro-fuzzy system for energy management of conventional autonomous vehicles," Energies, Article vol. 13, no. 7, 2020, Art no. 1745, doi: 10.3390/en13071745. 
  • D. Phan et al., "Intelligent energy management system for conventional autonomous vehicles," Energy, Article vol. 191, 2020, Art no. 116476, doi: 10.1016/j.energy.2019.116476. 
  • T. Rathnayake, A. K. Gostar, R. Hoseinnezhad, R. Tennakoon, and A. Bab-Hadiashar, "On-line visual tracking with occlusion handling," Sensors (Switzerland), Article vol. 20, no. 3, 2020, Art no. 929, doi: 10.3390/s20030929. 
  • R. Tennakoon et al., "Classification of Volumetric Images Using Multi-Instance Learning and Extreme Value Theorem," IEEE Transactions on Medical Imaging, Article vol. 39, no. 4, pp. 854-865, 2020, Art no. 8805413, doi: 10.1109/TMI.2019.2936244. 
  • M. S. Xavier, S. Yang, C. Comte, A. Bab-Hadiashar, N. Wilson, and I. Cole, "Nondestructive quantitative characterisation of material phases in metal additive manufacturing using multi-energy synchrotron X-rays microtomography," International Journal of Advanced Manufacturing Technology, Article vol. 106, no. 5-6, pp. 1601-1615, 2020, doi: 10.1007/s00170-019-04597-y. 
  • A. Assadzadeh, M. Arashpour, A. Rashidi, A. Bab-Hadiashar, and S. Fayezi, "A review of data-driven accident prevention systems: Integrating real-time safety management in the civil infrastructure context," in Proceedings of the 36th International Symposium on Automation and Robotics in Construction, ISARC 2019, 2019, pp. 289-296, doi: 10.22260/isarc2019/0039.
  • H. Bogunovic et al., "RETOUCH: The Retinal OCT Fluid Detection and Segmentation Benchmark and Challenge," IEEE Transactions on Medical Imaging, Article vol. 38, no. 8, pp. 1858-1874, 2019, Art no. 8653407, doi: 10.1109/TMI.2019.2901398. 
  • W. Chuah, R. Tennakoon, R. Hoseinnezhad, and A. Bab-Hadiashar, "Machine Vision-Enabled Traffic Controller for Safer and Smoother Traffic Flow Around Construction Sites," in 2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019, 2019, pp. 4255-4260, doi: 10.1109/ITSC.2019.8917194.
  • G. Golkarnarenji et al., "Multi-Objective Optimization of Manufacturing Process in Carbon Fiber Industry Using Artificial Intelligence Techniques," IEEE Access, Article vol. 7, pp. 67576-67588, 2019, Art no. 8705221, doi: 10.1109/ACCESS.2019.2914697. 
  • A. K. Gostar et al., "State transition for statistical SLAM using planar features in 3D point clouds," Sensors (Switzerland), Article vol. 19, no. 7, 2019, Art no. 1614, doi: 10.3390/s19071614. 
  • A. K. Gostar et al., "Interactive Multiple-Target Tracking via Labeled Multi-Bernoulli Filters," in ICCAIS 2019 - 8th International Conference on Control, Automation and Information Sciences, 2019, doi: 10.1109/ICCAIS46528.2019.9074567.
  • A. M. Kamoona, A. K. Gostar, A. Bab-Hadiashar, and R. Hoseinnezhad, "Sparsity-Based Naive Bayes Approach for Anomaly Detection in Real Surveillance Videos," in ICCAIS 2019 - 8th International Conference on Control, Automation and Information Sciences, 2019, doi: 10.1109/ICCAIS46528.2019.9074564.
  • A. M. Kamoona et al., "Random Finite Set-Based Anomaly Detection for Safety Monitoring in Construction Sites," IEEE Access, Article vol. 7, pp. 105710-105720, 2019, Art no. 8782101, doi: 10.1109/ACCESS.2019.2932137. 
  • A. Mukhaimar, R. Tennakoon, C. Y. Lai, R. Hoseinnezhad, and A. Bab-Hadiashar, "Comparative Analysis of 3D Shape Recognition in the Presence of Data Inaccuracies," in Proceedings - International Conference on Image Processing, ICIP, 2019, vol. 2019-September, pp. 2471-2475, doi: 10.1109/ICIP.2019.8803345.
  • A. Mukhaimar, R. Tennakoon, C. Y. Lai, R. Hoseinnezhad, and A. Bab-Hadiashar, "PL-Net3d: Robust 3D Object Class Recognition Using Geometric Models," IEEE Access, Article vol. 7, pp. 163757-163766, 2019, Art no. 8895750, doi: 10.1109/ACCESS.2019.2952638. 
  • S. Panicker, A. K. Gostar, A. Bab-Hadiashar, and R. Hoseinnezhad, "Recent advances in stochastic sensor control for multi-object tracking," Sensors (Switzerland), Review vol. 19, no. 17, 2019, Art no. 3790, doi: 10.3390/s19173790. 
  • T. Rathnayake, R. Tennakoon, A. Khodadadian Gostar, A. Bab-Hadiashar, and R. Hoseinnezhad, "Information Fusion for Industrial Mobile Platform Safety via Track-Before-Detect Labeled Multi-Bernoulli Filter," Sensors (Basel, Switzerland), Article vol. 19, no. 9, 2019, doi: 10.3390/s19092016. 
  • M. Shoaib, C. Y. Lai, and A. Bab-Hadiashar, "A novel design of cable-driven neck rehabilitation robot (CarNeck)," in IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM, 2019, vol. 2019-July, pp. 819-825, doi: 10.1109/AIM.2019.8868660.
  • R. Tennakoon, A. K. Gostar, R. Hoseinnezhad, M. de-Bruijne, and A. Bab-Hadiashar. Deep Multi-instance Volumetric Image Classification with Extreme Value Distributions, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11363 LNCS, pp. 590-604, 2019. 
  • A. K. Gostar, T. Rathnayake, A. Bab-Hadiashar, G. Battistelli, L. Chisci, and R. Hoseinnezhad, "Centralized Multiple-View Information Fusion for Multi-Object Tracking Using Labeled Multi-Bernoulli Filters," in ICCAIS 2018 - 7th International Conference on Control, Automation and Information Sciences, 2018, pp. 238-243, doi: 10.1109/ICCAIS.2018.8570431.
  • M. I. Hossain, A. K. Gostar, A. Bab-Hadiashar, and R. Hoseinnezhad, "Visual Mitosis Detection and Cell Tracking Using Labeled Multi-Bernoulli Filter," in 2018 21st International Conference on Information Fusion, FUSION 2018, 2018, pp. 2468-2472, doi: 10.23919/ICIF.2018.8455486. 
  • S. Panicker, A. Khodadadian Gostar, A. Bab-Hadiashar, and R. Hoseinnezhad, "Accelerated Multi-Sensor Control for Selective Multi-Object Tracking," in ICCAIS 2018 - 7th International Conference on Control, Automation and Information Sciences, 2018, pp. 183-188, doi: 10.1109/ICCAIS.2018.8570589.
  • A. Sadri, R. Tennakoon, R. Hosseinnezhad, and A. Bab-Hadiashar, "Robust visual data segmentation: Sampling from distribution of model parameters," Computer Vision and Image Understanding, Article vol. 174, pp. 82-94, 2018, doi: 10.1016/j.cviu.2018.07.001. 
  • R. Tennakoon, A. K. Gostar, R. Hoseinnezhad, and A. Bab-Hadiashar, "Retinal fluid segmentation in OCT images using adversarial loss based convolutional neural networks," in Proceedings - International Symposium on Biomedical Imaging, 2018, vol. 2018-April, pp. 1436-1440, doi: 10.1109/ISBI.2018.8363842.
  • R. Tennakoon, R. Hoseinnezhad, H. Tran, and A. Bab-Hadiashar, "Visual inspection of storm-water pipe systems using deep convolutional neural networks," in ICINCO 2018 - Proceedings of the 15th International Conference on Informatics in Control, Automation and Robotics, 2018, vol. 1, pp. 135-140, doi: 10.5220/0006851001350140.
  • R. Tennakoon, A. Sadri, R. Hoseinnezhad, and A. Bab-Hadiashar, "Effective Sampling: Fast Segmentation Using Robust Geometric Model Fitting," IEEE Transactions on Image Processing, Article vol. 27, no. 9, pp. 4182-4194, 2018, doi: 10.1109/TIP.2018.2834821. 
  • X. Wang, A. K. Gostar, T. Rathnayake, B. Xu, A. Bab-Hadiashar, and R. Hoseinnezhad, "Centralized multiple-view sensor fusion using labeled multi-Bernoulli filters," Signal Processing, Article vol. 150, pp. 75-84, 2018, doi: 10.1016/j.sigpro.2018.04.010. 
  • X. Wang, R. Hoseinnezhad, A. K. Gostar, T. Rathnayake, B. Xu, and A. Bab-Hadiashar, "Multi-sensor control for multi-object Bayes filters," Signal Processing, Article vol. 142, pp. 260-270, 2018, doi: 10.1016/j.sigpro.2017.07.031. 
  • M. Arashpour, Y. Bai, G. Aranda-mena, A. Bab-Hadiashar, R. Hosseini, and P. Kalutara, "Optimizing decisions in advanced manufacturing of prefabricated products: Theorizing supply chain configurations in off-site construction," Automation in Construction, Article vol. 84, pp. 146-153, 2017, doi: 10.1016/j.autcon.2017.08.032. 
  • Z. Chen-McCaig, R. Hoseinnezhad, and A. Bab-Hadiashar, "Convolutional neural networks for texture recognition using transfer learning," in 2017 International Conference on Control, Automation and Information Sciences, ICCAIS 2017, 2017, vol. 2017-January, pp. 187-192, doi: 10.1109/ICCAIS.2017.8217573.
  • A. Dadashnialehi, A. Bab-Hadiashar, and R. Hoseinnezhad, "Deep learning for texture classification via multi-wavelet fusion of scattering transforms," in Proceedings - 2017 IEEE International Conference on Mechatronics, ICM 2017, 2017, pp. 324-329, doi: 10.1109/ICMECH.2017.7921125.
  • G. Golkarnarenji et al., "Development of a predictive model for study of skin-core phenomenon in stabilization process of PAN precursor," Journal of Industrial and Engineering Chemistry, Article vol. 49, pp. 46-60, 2017, doi: 10.1016/j.jiec.2016.12.027. 
  • A. K. Gostar, R. Hoseinnezhad, and A. Bab-Hadiashar, "Cauchy-Schwarz divergence-based distributed fusion with poisson random finite sets," in 2017 International Conference on Control, Automation and Information Sciences, ICCAIS 2017, 2017, vol. 2017-January, pp. 112-116, doi: 10.1109/ICCAIS.2017.8217559.
  • A. K. Gostar, R. Hoseinnezhad, A. Bab-Hadiashar, and W. Liu, "Sensor-Management for Multitarget Filters via Minimization of Posterior Dispersion," IEEE Transactions on Aerospace and Electronic Systems, Article vol. 53, no. 6, pp. 2877-2884, 2017, Art no. 7961270, doi: 10.1109/TAES.2017.2718280. 
  • A. K. Gostar, R. Hoseinnezhad, T. Rathnayake, X. Wang, and A. Bab-Hadiashar, "Constrained Sensor Control for Labeled Multi-Bernoulli Filter Using Cauchy-Schwarz Divergence," IEEE Signal Processing Letters, Article vol. 24, no. 9, pp. 1313-1317, 2017, Art no. 7971988, doi: 10.1109/LSP.2017.2723924. 
  • H. Khayyam et al., "Predictive modelling and optimization of carbon fiber mechanical properties through high temperature furnace," Applied Thermal Engineering, Article vol. 125, pp. 1539-1554, 2017, doi: 10.1016/j.applthermaleng.2017.06.071. 
  • T. Rathnayake, A. K. Gostar, R. Hoseinnezhad, and A. Bab-Hadiashar, "Occlusion handling for online visual tracking using labeled random set filters," in 2017 International Conference on Control, Automation and Information Sciences, ICCAIS 2017, 2017, vol. 2017-January, pp. 151-156, doi: 10.1109/ICCAIS.2017.8217567.
  • T. Rathnayake, R. Hoseinnezhad, R. Tennakoon, and A. Bab-Hadiashar, "Labeled multi-Bernoulli tracking for industrial mobile platform safety," in Proceedings - 2017 IEEE International Conference on Mechatronics, ICM 2017, 2017, pp. 393-398, doi: 10.1109/ICMECH.2017.7921138.
  • A. Sadri, R. Tennakoon, R. Hoseinnezhad, and A. Bab-Hadiashar, "MCMC based sampling technique for robust multi-model fitting and visual data segmentation," in 2016 6th International Conference on Image Processing Theory, Tools and Applications, IPTA 2016, 2017, doi: 10.1109/IPTA.2016.7821022.
  • K. Yousif, A. Bab-Hadiashar, and R. Hoseinnezhad, "3D SLAM in texture-less environments using rank order statistics," Robotica, Article vol. 35, no. 4, pp. 809-831, 2017, doi: 10.1017/S0263574715000831. 
  • K. Yousif, Y. Taguchi, S. Ramalingam, and A. Bab-Hadiashar, "ROS2D: Image feature detector using rank order statistics," in Proceedings - IEEE International Conference on Robotics and Automation, 2017, pp. 4515-4522, doi: 10.1109/ICRA.2017.7989524.
  • J. Evans, A. Bab-Hadiashar, and S. Watkins, "Racing car driveline design: Carbon composite bonded half-shaft," International Journal of Vehicle Design, Article vol. 72, no. 1, pp. 68-87, 2016, doi: 10.1504/IJVD.2016.079213. 
  • A. K. Gostar, R. Hoseinnezhad, and A. Bab-Hadiashar, "Multi-Bernoulli sensor control using Cauchy-Schwarz divergence," in FUSION 2016 - 19th International Conference on Information Fusion, Proceedings, 2016, pp. 651-657. 
  • R. B. Tennakoon, A. Bab-Hadiashar, Z. Cao, R. Hoseinnezhad, and D. Suter, "Robust Model Fitting Using Higher Than Minimal Subset Sampling," IEEE Transactions on Pattern Analysis and Machine Intelligence, Article vol. 38, no. 2, pp. 350-362, 2016, Art no. 7130650, doi: 10.1109/TPAMI.2015.2448103. 
  • A. Dadashnialehi, A. Bab-Hadiashar, Z. Cao, and A. Kapoor, "Intelligent sensorless antilock braking system for brushless in-wheel electric vehicles," IEEE Transactions on Industrial Electronics, Article vol. 62, no. 3, pp. 1629-1638, 2015, Art no. 6868235, doi: 10.1109/TIE.2014.2341601. 
  • C. Fu, R. Hoseinnezhad, A. Bab-Hadiashar, and R. N. Jazar, "Direct yaw moment control for electric and hybrid vehicles with independent motors," International Journal of Vehicle Design, Article vol. 69, no. 1-4, pp. 1-24, 2015, doi: 10.1504/IJVD.2015.073111. 
  •  C. Fu, R. Hoseinnezhad, A. Bab-Hadiashar, and R. N. Jazar, "Electric vehicle side-slip control via electronic differential," International Journal of Vehicle Autonomous Systems, Article vol. 13, no. 1, pp. 1-26, 2015, doi: 10.1504/IJVAS.2015.070724. 
  • A. K. Gostar, R. Hoseinnezhad, and A. Bab-Hadiashar, "Multi-Bernoulli sensor-selection for multi-target tracking with unknown clutter and detection profiles," Signal Processing, Article vol. 119, pp. 28-42, 2015, Art no. 5857, doi: 10.1016/j.sigpro.2015.07.007. 
  • A. K. Gostar, R. Hoseinnezhad, and A. Bab-Hadiashar, "Multi-bernoulli sensor control via minimization of expected estimation errors," IEEE Transactions on Aerospace and Electronic Systems, Article vol. 51, no. 3, pp. 1762-1773, 2015, Art no. 7272828, doi: 10.1109/TAES.2015.140211. 
  • A. K. Gostar, R. Hoseinnezhad, A. Bab-Hadiashar, and F. Papi, "OSPA-based sensor control," in ICCAIS 2015 - 4th International Conference on Control, Automation and Information Sciences, 2015, pp. 214-218, doi: 10.1109/ICCAIS.2015.7338664.
  • M. Hadian-Jazi, A. Bab-Hadiashar, R. Hoseinnezhad, and D. Suter, "Theoretical analysis of hough transform optimal cell size: Segmentation of nearby lines," in 5th International Conference on Image Processing, Theory, Tools and Applications 2015, IPTA 2015, 2015, pp. 163-168, doi: 10.1109/IPTA.2015.7367119.
  • R. Hoseinnezhad and A. Bab-Hadiashar, "Multi-Bernoulli sample consensus for simultaneous robust fitting of multiple structures in machine vision," Signal, Image and Video Processing, Article vol. 9, no. 7, pp. 1727-1736, 2015, doi: 10.1007/s11760-014-0632-9. 
  • M. H. Jazi, A. Bab-Hadiashar, and R. Hoseinnezhad, "Statistical analysis of three-dimensional optical flow separability in volumetric images," IET Computer Vision, Article vol. 9, no. 6, pp. 895-902, 2015, doi: 10.1049/iet-cvi.2014.0371. 
  • H. Khayyam et al., "Stochastic optimization models for energy management in carbonization process of carbon fiber production," Applied Energy, Article vol. 158, pp. 643-655, 2015, doi: 10.1016/j.apenergy.2015.08.008. 
  • T. Rathnayake, A. K. Gostar, R. Hoseinnezhad, and A. Bab-Hadiashar, "Labeled multi-Bernoulli track-before-detect for multi-target tracking in video," in 2015 18th International Conference on Information Fusion, Fusion 2015, 2015, pp. 1353-1358.
  • R. Tennakoon, Z. Cao, and A. Bab-Hadiashar, "Nonlinear approaches in three dimensional medical image registration," in Nonlinear Approaches in Engineering Applications: Applied Mechanics, Vibration Control, and Numerical Analysis, 2015, pp. 251-280. 
  • S. N. Basah, A. Bab-Hadiashar, and R. Hoseinnezhad, "Analysis of planar-motion segmentation using affine fundamental matrix," IET Computer Vision, Article vol. 8, no. 6, pp. 658-669, 2014, doi: 10.1049/iet-cvi.2013.0224. 
  • A. Dadashnialehi, A. Bab-Hadiashar, Z. Cao, and A. Kapoor, "Intelligent sensorless ABS for in-wheel electric vehicles," IEEE Transactions on Industrial Electronics, Article vol. 61, no. 4, pp. 1957-1969, 2014, Art no. 6523096, doi: 10.1109/TIE.2013.2266085. 
  •  C. Fu, R. Hoseinnezhad, A. Bab-Hadiashar, R. N. Jazar, and S. Watkins, "Electronic differential for high-performance electric vehicles with independent driving motors," International Journal of Electric and Hybrid Vehicles, Article vol. 6, no. 2, pp. 108-132, 2014, doi: 10.1504/IJEHV.2014.065720. 
  • A. K. Gostar, R. Hoseinnezhad, and A. Bab-Hadiashar, "Sensor control for multi-object tracking using labeled multi-Bernoulli filter," in FUSION 2014 - 17th International Conference on Information Fusion, 2014.
  • A. K. Gostar, R. Hoseinnezhad, and A. Bab-Hadiashar, "Information theoretic approach to robust multi-Bernoulli sensor control," in IEEE Workshop on Statistical Signal Processing Proceedings, 2014, pp. 224-227, doi: 10.1109/SSP.2014.6884616.
  • R. Hoseinnezhad and A. Bab-Hadiashar, "Parametric segmentation of nonlinear structures in visual data: An accelerated sampling approach," in Nonlinear Approaches in Engineering Applications 2, vol. 9781461468776, 2014, pp. 257-276. 
  • H. Khayyam and A. Bab-Hadiashar, "Adaptive intelligent energy management system of plug-in hybrid electric vehicle," Energy, Article vol. 69, pp. 319-335, 2014, doi: 10.1016/j.energy.2014.03.020. 
  • R. B. Tennakoon, A. Bab-Hadiashar, Z. Cao, and M. De Bruijne, "Nonrigid registration of volumetric images using ranked order statistics," IEEE Transactions on Medical Imaging, Article vol. 33, no. 2, pp. 422-432, 2014, Art no. 6636067, doi: 10.1109/TMI.2013.2286192. 
  • K. Yousif, A. Bab-Hadiashar, and R. Hoseinnezhad, "A real-time RGB-D registration and mapping approach by heuristically switching between photometric and geometric information," in FUSION 2014 - 17th International Conference on Information Fusion, 2014.
  • K. Yousif, A. Bab-Hadiashar, and R. Hoseinnezhad, "Real-time RGB-D registration and mapping in texture-less environments using ranked order statistics," in IEEE International Conference on Intelligent Robots and Systems, 2014, pp. 2654-2660, doi: 10.1109/IROS.2014.6942925.
  • A. Bab-Hadiashar, R. B. Tennakoon, and M. De Bruijne, "Quantification of smoothing requirement for 3D optic flow calculation of volumetric images," IEEE Transactions on Image Processing, Article vol. 22, no. 6, pp. 2128-2137, 2013, Art no. 6459590, doi: 10.1109/TIP.2013.2246174. 
  • A. Dadashnialehi, A. Bab-Hadiashar, Z. Cao, and A. Kapoor, "Enhanced ABS for In-Wheel Electric Vehicles using data fusion," in IEEE Intelligent Vehicles Symposium, Proceedings, 2013, pp. 702-707, doi: 10.1109/IVS.2013.6629549.
  • A. K. Gostar, R. Hoseinnezhad, and A. Bab-Hadiashar, "Robust multi-bernoulli sensor selection for multi-target tracking in sensor networks," IEEE Signal Processing Letters, Article vol. 20, no. 12, pp. 1167-1170, 2013, Art no. 6612706, doi: 10.1109/LSP.2013.2283735. 
  • A. K. Gostar, R. Hoseinnezhad, and A. Bab-Hadiashar, "Multi-bernoulli sensor control for multi-target tracking," in Proceedings of the 2013 IEEE 8th International Conference on Intelligent Sensors, Sensor Networks and Information Processing: Sensing the Future, ISSNIP 2013, 2013, vol. 1, pp. 312-317, doi: 10.1109/ISSNIP.2013.6529808.: 
  • A. K. Gostar, R. Hoseinnezhad, A. Bab-Hadiashar, and B. T. Vo, "Control of sensor with unknown clutter and detection profile using Multi-Bernoulli filter," in Proceedings of the 16th International Conference on Information Fusion, FUSION 2013, 2013, pp. 1021-1028.
  • M. Hadian Jazi, A. Bab-Hadiashar, and R. Hoseinnezhad, "Analytical analysis of motion separability," The Scientific World Journal, Article vol. 2013, 2013, Art no. 878417, doi: 10.1155/2013/878417. 
  • M. H. Jazi, A. Bab-Hadiashar, and R. Hoseinnezhad, "Statistical separability of local motions in volumetric images," in 2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings, 2013, pp. 3855-3859, doi: 10.1109/ICIP.2013.6738794.
  • H. Khayyam, J. Abawajy, B. Javadi, A. Goscinski, A. Stojcevski, and A. Bab-Hadiashar, "Intelligent battery energy management and control for vehicle-to-grid via cloud computing network," Applied Energy, Article vol. 111, pp. 971-981, 2013, doi: 10.1016/j.apenergy.2013.06.021. 
  • S. Saric, A. Bab-Hadiashar, R. Hoseinnezhad, and I. Hocking, "Analysis of forklift accident trends within Victorian industry (Australia)," Safety Science, Article vol. 60, pp. 176-184, 2013, doi: 10.1016/j.ssci.2013.07.017. 
  • R. B. Tennakoon, A. Bab-Hadiashar, M. De Bruijne, and Z. Cao, "Efficient nonrigid registration using ranked order statistics," in Proceedings - International Symposium on Biomedical Imaging, 2013, pp. 496-499, doi: 10.1109/ISBI.2013.6556520.
  • R. B. Tennakoon, A. Bab-Hadiashar, D. Suter, and Z. Cao, "Robust data modelling using thin plate splines," in 2013 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2013, 2013, doi: 10.1109/DICTA.2013.6691522.
  • K. Yousif, A. Bab-Hadiashar, and R. Hoseinnezhad, "3D registration in dark environments using RGB-D cameras," in 2013 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2013, 2013, doi: 10.1109/DICTA.2013.6691470.
  • A. Dadashnialehi, A. Bab-Hadiashar, Z. Cao, and A. Kapoor, "Accurate wheel speed measurement for sensorless ABS in electric vehicle," in 2012 IEEE International Conference on Vehicular Electronics and Safety, ICVES 2012, 2012, pp. 37-42, doi: 10.1109/ICVES.2012.6294313.
  • A. Dadashnialehi, Z. Cao, A. Kapoor, and A. Bab-Hadiashar, "Intelligent sensorless ABS for regenerative brakes," in 2012 IEEE International Electric Vehicle Conference, IEVC 2012, 2012, doi: 10.1109/IEVC.2012.6183169.
  • C. Fu, R. Hoseinnezhad, and A. Bab-Hadiashar, "Side-slip control for nonlinear vehicle dynamics by electronic differentials," Nonlinear Engineering, Article vol. 1, no. 1, pp. 1-10, 2012, doi: 10.1515/nleng-2012-0006. 
  •  C. Fu, R. Hoseinnezhad, R. Jazar, A. Bab-Hadiashar, and S. Watkins, "Electronic differential design for vehicle side-slip control," in 2012 International Conference on Control, Automation and Information Sciences, ICCAIS 2012, 2012, pp. 306-310, doi: 10.1109/ICCAIS.2012.6466607.
  • R. Hoseinnezhad and A. Bab-Hadiashar, "A multi-Bernoulli approach to simultaneous segmentation of multiple motions," in 2012 International Conference on Control, Automation and Information Sciences, ICCAIS 2012, 2012, pp. 102-107, doi: 10.1109/ICCAIS.2012.6466567.
  • R. Hoseinnezhad and A. Bab-Hadiashar, "Nonlinearity in an electromechanical braking system: Development of a smart caliper," in Nonlinear Approaches in Engineering Applications, vol. 9781461414698, 2012, pp. 265-282. 
  • R. Hoseinnezhad and A. Bab-Hadiashar, "Efficient antilock braking by direct maximization of tire-road frictions," IEEE Transactions on Industrial Electronics, Article vol. 58, no. 8, pp. 3593-3600, 2011, Art no. 5587890, doi: 10.1109/TIE.2010.2081951.
  • R. Hoseinnezhad and A. Bab-Hadiashar, "An M-estimator for high breakdown robust estimation in computer vision," Computer Vision and Image Understanding, Article vol. 115, no. 8, pp. 1145-1156, 2011, doi: 10.1016/j.cviu.2011.03.007.
  • V. Gorbunova et al. Early detection of emphysema progression, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 6362 LNCS, pp. 193-200, 2010. 
  • R. Hesami, A. BabHadiashar, and R. HosseinNezhad, "Range segmentation of large building exteriors: A hierarchical robust approach," Computer Vision and Image Understanding, Article vol. 114, no. 4, pp. 475-490, 2010, doi: 10.1016/j.cviu.2009.12.004. 
  • R. Hoseinnezhad, A. Bab-Hadiashar, and D. Suter, "Finite sample bias of robust estimators in segmentation of closely spaced structures: A comparative study," Journal of Mathematical Imaging and Vision, Article vol. 37, no. 1, pp. 66-84, 2010, doi: 10.1007/s10851-010-0193-7. 
  • S. N. Basah, A. Bab-Hadiashar, and R. Hoseinnezhad, "Conditions for motion-background segmentation using fundamental matrix," IET Computer Vision, Article vol. 3, no. 4, pp. 189-200, 2009, doi: 10.1049/iet-cvi.2009.0030. 
  • S. N. Basah, A. Bab-Hadiashar, and R. Hoseinnezhad. Conditions for segmentation of 2D translations of 3D objects, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 5716 LNCS, pp. 82-91, 2009. 
  • S. N. Basah, R. Hoseinnezhad, and A. Bab-Hadiashar. Conditions for segmentation of motion with affine fundamental matrix, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 5875 LNCS, pp. 415-424, 2009. 
  • R. Hoseinnezhad and A. Bab-Hadiashar, "Recent patents on measurement and estimation in brake-by-wire technology," Recent Patents on Electrical Engineering, Article vol. 2, no. 1, pp. 54-64, 2009, doi: 10.2174/1874476110902010054. 
  • B. Majidi and A. Bab-Hadiashar, "Aerial tracking of elongated objects in rural environments," Machine Vision and Applications, Article vol. 20, no. 1, pp. 23-34, 2009, doi: 10.1007/s00138-007-0102-2. 
  • S. Saric, A. Bab-Hadiashar, and J. v. d. Walt, "Estimating clamp force for brake-by-wire systems: Thermal considerations," Mechatronics, Article vol. 19, no. 6, pp. 886-895, 2009, doi: 10.1016/j.mechatronics.2009.05.001.
  • A. Bab-Hadiashar and R. Hoseinnezhad, "Bridging parameter and data spaces for fast robust estimation in computer vision," in Proceedings - Digital Image Computing: Techniques and Applications, DICTA 2008, 2008, pp. 1-8, doi: 10.1109/DICTA.2008.10.
  • S. N. Basah, R. Hoseinnezhad, and A. Bab-Hadiashar, "Limits of motion-background segmentation using fundamental matrix estimation," in Proceedings - Digital Image Computing: Techniques and Applications, DICTA 2008, 2008, pp. 250-256, doi: 10.1109/DICTA.2008.23.
  • N. Gheissari and A. Bab-Hadiashar, "A comparative study of model selection criteria for computer vision applications," Image and Vision Computing, Article vol. 26, no. 12, pp. 1636-1649, 2008, doi: 10.1016/j.imavis.2008.04.001. 
  • R. Hoseinnezhad, A. Bab-Hadiashar, and T. Rocco, "Real-time clamp force measurement in electromechanical brake calipers," IEEE Transactions on Vehicular Technology, Article vol. 57, no. 2, pp. 770-777, 2008, doi: 10.1109/TVT.2007.906374. 
  • S. Saric, A. Bab-Hadiashar, and R. Hoseinnezhad, "Clamp-force estimation for a brake-by-wire system: A sensor-fusion approach," IEEE Transactions on Vehicular Technology, Article vol. 57, no. 2, pp. 778-786, 2008, doi: 10.1109/TVT.2007.905251. 
  • R. Hesami, A. Bab-Hadiashar, and R. Hosseinnezhad. A novel hierarchical technique for range segmentation of large building exteriors, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 4842 LNCS, pp. 75-85, 2007. 
  • R. Hoseinnezhad and A. Bab-Hadiashar, "A novel high breakdown M-estimator for visual data segmentation," in Proceedings of the IEEE International Conference on Computer Vision, 2007, doi: 10.1109/ICCV.2007.4408971.
  • R. Hoseinnezhad and A. Bab-Hadiashar, "Fast estimation of epipolar geometry using high breakdown M-estimators," in Proceedings - Digital Image Computing Techniques and Applications: 9th Biennial Conference of the Australian Pattern Recognition Society, DICTA 2007, 2007, pp. 159-166, doi: 10.1109/DICTA.2007.4426791.
  • R. Hoseinnezhad and A. Bab-Hadiashar, "Consistency of robust estimators in multi-structural visual data segmentation," Pattern Recognition, Article vol. 40, no. 12, pp. 3677-3690, 2007, doi: 10.1016/j.patcog.2007.05.009. 
  • R. Hoseinnezhad, A. Bab-Hadiashar, and P. Harding, "Calibration of resolver sensors in electromechanical braking systems: A modified recursive weighted least-squares approach," IEEE Transactions on Industrial Electronics, Article vol. 54, no. 2, pp. 1052-1060, 2007, doi: 10.1109/TIE.2007.893049. 
  • B. Majidi and A. Bab-Hadiashar, "Land cover boundary extraction in rural aerial videos," in Proceedings of IAPR Conference on Machine Vision Applications, MVA 2007, 2007, pp. 311-314.
  • S. Saric and A. Bab-Hadiashar, "A kalman filtering approach to estimate clamp force in brake-by-wire systems," in ICINCO 2007 - 4th International Conference on Informatics in Control, Automation and Robotics, Proceedings, 2007, vol. SPSMC, pp. 249-255.
  • A. Bab-Hadiashar and N. Gheissari, "Range image segmentation using surface selection criterion," IEEE Transactions on Image Processing, Article vol. 15, no. 7, pp. 2006-2018, 2006, doi: 10.1109/TIP.2006.877064. 
  • N. Gheissari, A. Bab-Hadiashar, and D. Suter, "Parametric model-based motion segmentation using surface selection criterion," Computer Vision and Image Understanding, Article vol. 102, no. 2, pp. 214-226, 2006, doi: 10.1016/j.cviu.2006.02.002. 
  • R. Hoseinnezhad, A. Bab-Hadiashar, and D. Suter. Finite sample bias of robust scale estimators in computer vision problems, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 4291 LNCS - I, pp. 445-454, 2006. 
  • R. Hoseinnezhad, S. Saric, and A. Bab-Hadiashar, "Estimation of clamp force in brake-by-wire systems: A step-by-step identification approach," SAE Technical Papers, Conference Paper 2006, doi: 10.4271/2006-01-1154. 
  • S. Saric, A. Bab-Hadiashar, and R. Hoseinnezhad, "A sensor fusion approach to estimate clamp force in brake-by-wire systems," in IEEE Vehicular Technology Conference, 2006, vol. 6, pp. 3007-3011.
  • A. Bab-Hadiashar and N. Gheissari. Model selection for range segmentation of curved objects, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 3021, pp. 83-94, 2004. 
  • N. Gheissari and A. Bab-Hadiashar, "Effect of noise on model selection criteria in visual applications," in Proceedings - International Conference on Pattern Recognition, 2004, vol. 2, pp. 229-231, doi: 10.1109/ICPR.2004.1334102.
  • N. Gheissari and A. Bab-Hadiashar, "The model selection criteria as merging criteria," in Proceedings - International Conference on Pattern Recognition, 2004, vol. 2, pp. 253-256, doi: 10.1109/icpr.2004.1334149.
  • R. H. Nezhad, A. Bab-Hadiashar, and P. Harding, "Fusion of brake pedal sensors in by-wire cars: A fuzzy logic approach," in IFAC Proceedings Volumes (IFAC-PapersOnline), 2004, vol. 37, 14 ed., pp. 605-610, doi: 10.1016/S1474-6670(17)31169-2.
  • N. Gheissari and A. Bab-Hadiashar, "Motion analysis: Model selection and motion segmentation," in Proceedings - 12th International Conference on Image Analysis and Processing, ICIAP 2003, 2003, pp. 442-448, doi: 10.1109/ICIAP.2003.1234090.
  • R. A. Russell, A. Bab-Hadiashar, R. L. Shepherd, and G. G. Wallace, "A comparison of reactive robot chemotaxis algorithms," Robotics and Autonomous Systems, Article vol. 45, no. 2, pp. 83-97, 2003, doi: 10.1016/S0921-8890(03)00120-9. 
  • A. Bab-Hadiashar, N. Gheissari, and D. Suter, "Robust model based motion segmentation," in Proceedings - International Conference on Pattern Recognition, 2002, vol. 16, 2 ed., pp. 753-756.
  • A. Bab-Hadiashar and D. Suter, "Robust segmentation of visual data using ranked unbiased scale estimate," Robotica, Article vol. 17, no. 6, pp. 649-660, 1999, doi: 10.1017/S0263574799001812. 
  • A. Bab-Hadiashar and D. Suter, "Robust Optic Flow Computation," International Journal of Computer Vision, Article vol. 29, no. 1, pp. 59-77, 1998, doi: 10.1023/A:1008090730467. 
  • A. Bab-Hadiashar and D. Suter. Robust total least squares based optic flow computation, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 1351, pp. 566-573, 1997. 
  • A. Bab-Hadiashar and D. Suter. Robust motion segmentation using rank ordering estimators, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 1352, pp. 599-606, 1997. 
  • A. Bab-Hadiashar and D. Suter, "Optical flow calculation using robust statistics," in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 1997, pp. 988-993.
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Feature projects

Automated Integrity Assessment of Self-Piercing Rivet Joints: i4.0 Approach

Ford USA, ARC Linkage Project, $500k

2020 - 2023

Submarine Dynamics and Control

Defence Science and Technology Group (DSTG), $2.1M

2017 - 2022

Automated Visual Inspection and Preparation of Live Animals for Meat Processing

AMPC, $446K

2015 - 2017

Key projects by year

  • Automated Integrity Assessment of Self-Piercing Rivet Joints: i4.0 Approach, Ford USA, ARC Linkage Project, $500k, 2020-2023.
  • Submarine Dynamics and Control, Defence Science and Technology Group (DSTG), $2.1M, 2017-2022.
  • Visual intelligence for safe vehicle operation in industrial environment, ARC Linkage, 2016-2020.
  • Automated Visual Inspection and Preparation of Live Animals for Meat Processing, AMPC, $446K, 2015-2017.
  • Fault Tolerant Control, Research Contract with Defence Science and Technology Group (DSTG), $90K, end: 2023.
  • Crowd tracking and visual analytics for rapidly deployable imaging devices, ARC Linkage. 
  • Educational Pathways: Creating a Highly Skilled Meat Industry, Australian Meat Processing Corporation (AMPC), $950K. 
  • Intelligent solutions for boxed beef trim export enhancement, AMPC, $280K. 
  • Automated Visual Inspection and Preparation of Live Animals for Meat Processing, AMPC, $446K. 
  • Intelligent collision avoidance system for mobile industrial platforms, ARC Linkage. 
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Grants

  • ARC LP190100165: Automated Integrity Assessment of Self-Piercing Rivet Joints: i4.0 Approach $281k, end: 2023
  • ARC LP160100662: Visual intelligence for safe vehicle operation in industrial environment, $ $356k, end: 2020
  • ARC LP160101081: Crowd tracking and visual analytics for rapidly deployable imaging devices, $234k, end: 2020
  • Intelligent solutions for boxed beef trim export enhancement, AMPC, $280K, end: 2018
  • ARC LP130100521: Intelligent collision avoidance system for mobile industrial platforms, Flexible Drives Agency Pty Ltd, $385K, end: 2016
  • ARC DP130102524: Improved image analysis: maximised statistical use of geometry/shape constraints, $330K, end: 2014
  • ARC DP0878801: Statistical Methods of Model Fitting and Segmentation in Computer Vision, $422K (ranked in the top 7% of all applications), end: 2011
  • ARC LP0561923: Data Fusion Techniques for Electro-Mechanical Braking Systems, $262K (including industry cash contribution), end: 2008
  • ARC LP0560472: On-line Real Time Inspection of Vehicle Structures, $330K (including industry cash contribution), end: 2007
  • ARC LP0349130: Development of an Intelligent Perception System for Electric Brakes, $93K (including industry cash contribution), end: 2006
  • ARC C00106815: Optic Flow Algorithms for Low Level Flight Control of Autonomous Aircraft, Australian Research Council SPIRT with Aerosonde Australia, $82K, end: 2003
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Acknowledgement of Country

RMIT University acknowledges the people of the Woi wurrung and Boon wurrung language groups of the eastern Kulin Nation on whose unceded lands we conduct the business of the University. RMIT University respectfully acknowledges their Ancestors and Elders, past and present. RMIT also acknowledges the Traditional Custodians and their Ancestors of the lands and waters across Australia where we conduct our business - Artwork 'Luwaytini' by Mark Cleaver, Palawa.

aboriginal flag
torres strait flag

Acknowledgement of Country

RMIT University acknowledges the people of the Woi wurrung and Boon wurrung language groups of the eastern Kulin Nation on whose unceded lands we conduct the business of the University. RMIT University respectfully acknowledges their Ancestors and Elders, past and present. RMIT also acknowledges the Traditional Custodians and their Ancestors of the lands and waters across Australia where we conduct our business.