STAFF PROFILE
Professor Alireza Bab-Hadiashar
Research
Ali Bab-Hadiashar is an internationally recognised researcher in the computer vision and intelligent robotics areas. His research is primarily in the field of computer vision and autonomous systems involving brake-by-wire systems for new generation vehicle technologies, unmanned aerial vehicles (UAVs) for environmental surveillance, and robot systems for advanced manufacturing.
- Established author with highly cited papers in prestigious journals and conferences
- Published several articles in prestigious journals including IEEETIP, IEEETIE, IJCV, Patter Recognition, and IEEETVT .
- Published highly cited papers: more than 5 papers with more than 30 citations on GoogleScholar
- More than 300 Scopus citations (with h_index of 8)
- More than 700 Googlescholar citations (with h_index of 13)
- Recipient of 6 Australian Research Council National Competitive Grants (3 as the first CI)
- Founding participant and a member of the technical and executive committees of the Research Centre for Advanced By-Wire Technologies (RABiT) 2002-2007 - set up by a Victorian Government Science and Technology Initiative grant of 4.7M
- Successful supervision of several PhD candidates (7 to completion)
Research projects
View Professor Bab-Hadiashar's research projects (PDF 256KB 6p)
Publications
Publications can be found on Google Scholar.
Ali Bab-Hadiashar is a professor of Advanced Manufacturing and Mechatronics in the School of Aerospace, Mechanical and Manufacturing Engineering. Bab-Hadiashar has been very active and successful in all aspects of academia including administration, teaching and research. He is an internationally recognised researcher in the area of computer vision and intelligent robotics. His work has resulted in technological achievements and research papers which have been recognised internationally by his peers. Bab-Hadiashar has also made significant contributions to developing and establishing the Robotics and Mechatronics Engineering programs, both locally and internationally.
BSc (Engg) Tehran, MES (Engg) Syd, PhD Monash
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)
- Golkarnarenji, G.,Naebe, M.,Church, J.,Badii, K.,Bab-Hadiashar, A.,Atkiss, S.,Khayyam, H. (2017). Development of a predictive model for study of skin-core phenomenon in stabilization process of PAN precursor In: Journal of Industrial and Engineering Chemistry, 49, 46 - 60
- Yousif, K.,Bab-Hadiashar, A.,Hoseinnezhad, R. (2017). 3D SLAM in texture-less environments using rank order statistics In: Robotica, 35, 809 - 831
- Khodadadian Gostar, A.,Hoseinnezhad, R.,Liu, W.,Bab-Hadiashar, A. (2017). Sensor management for multi-target filters via minimization of posterior dispersion In: IEEE Transactions on Aerospace and Electronic Systems, , 1 - 8
- Rathnayake, T.,Hoseinnezhad, R.,Tennakoon, R.,Bab-Hadiashar, A. (2017). Labeled multi-Bernoulli tracking for industrial mobile platform safety In: 2017 IEEE International Conference on Mechatronics, Churchill, Australia, 13-15 February 2017
- Dadashnialehi, A.,Bab-Hadiashar, A.,Cao, Z.,Hoseinnezhad, R. (2017). Reliable EMF-sensor-fusion-based antilock braking system for BLDC motor in-wheel electric vehicles In: IEEE Sensors Letters, 2, 1 - 4
- Khodadadian Gostar, A.,Hoseinnezhad, R.,Bab-Hadiashar, A. (2017). (In Press) A novel task-driven sensor-management method in multi-object filters using stochastic geometry In: Current and Future Developments in Artificial Intelligence, Bentham Science Publishers, United Arab Emirates
- Khodadadian Gostar, A.,Hoseinnezhad, R.,Rathnayake, T.,Wang, X.,Bab-Hadiashar, A. (2017). (In Press) Constrained sensor control for labeled multi-bernoulli filter using Cauchy-Schwarz divergence In: IEEE Signal Processing Letters, , 1 - 5
- Tennakoon, R.,Bab-Hadiashar, A.,Cao, Z.,Hoseinnezhad, R.,Suter, D. (2016). Robust model fitting using higher than minimal subset sampling In: IEEE Transactions on Pattern Analysis and Machine Intelligence, 38, 350 - 362
- Sadri, A.,Tennakoon, R.,Hoseinnezhad, R.,Bab-Hadiashar, A. (2016). MCMC based sampling technique for robust multi-model fitting and visual data segmentation In: Proceedings of the Sixth International Conference on Image Processing Theory, Tools and Applications (IPTA 2016), Oulu, Finland, 12-15 December 2016
- Khodadadian Gostar, A.,Hoseinnezhad, R.,Bab-Hadiashar, A. (2016). Multi-bernoulli sensor control using Cauchy-Schwarz divergence In: Proceedings of the 19th International Conference on Information Fusion 2016, Heidelberg, Germany, 5-8 July 2016
- Visual intelligence for safe vehicle operation in industrial environment. Funded by: ARC Linkage Grant 2016 from (2016 to 2019)
- Crowd tracking and visual analytics for rapidly deployable imaging devices. Funded by: ARC Linkage Grant 2016 from (2016 to 2019)
- Intelligent Collision Avoidance System for Mobile Industrial Platforms. Funded by: ARC Linkage Grant 2013 from (2013 to 2016)
- Improved image analysis: maximised statistical use of geometry/shape constraints. Administered by University of Adelaide.. Funded by: ARC Discovery Projects via other University Grant pre-2014 from (2013 to 2015)
- Statistical Methods of Model Fitting and Segmentation in Computer Vision. Funded by: ARC Discovery 2008 from (2008 to 2011)
3 PhD Completions4 PhD Current Supervisions