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)
- Chuah, W.,Tennakoon, R.,Hoseinnezhad, R.,Bab-Hadiashar, A. (2021). Deep Learning-Based Incorporation of Planar Constraints for Robust Stereo Depth Estimation in Autonomous Vehicle Applications In: IEEE Transactions on Intelligent Transportation Systems, , 1 - 12
- Assadzadeh, A.,Arashpour, M.,Bab-Hadiashar, A.,Ngo, T.,Li, H. (2021). Automatic far-field camera calibration for construction scene analysis In: Computer-Aided Civil and Infrastructure Engineering, , 1 - 18
- Ishtiaq, N.,Panicker, S.,Khodadadian Gostar, A.,Bab-Hadiashar, A.,Hoseinnezhad, R. (2021). Selective Sensor Control via Cauchy Schwarz Divergence In: Smart Trends in Computing and Communications: Proceedings of SmartCom 2020, Online, 24-25 January 2020
- Korevaar, S.,Tennakoon, R.,Page, M.,Brotchie, P.,Thangarajah, J.,Florescu, C.,Sutherland, T.,Kam, N.,Bab-Hadiashar, A. (2021). Incidental detection of prostate cancer with computed tomography scans In: Scientific Reports, 11, 1 - 10
- Shoaib, M.,Asadi, E.,Cheong, J.,Bab-Hadiashar, A. (2021). Cable Driven Rehabilitation Robots: Comparison of Applications and Control Strategies In: IEEE Access, 9, 110396 - 110420
- Tennakoon, R.,Suter, D.,Zhang, E.,Chin, T.,Bab-Hadiashar, A. (2021). Consensus Maximisation Using Influences of Monotone Boolean Functions In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Virtual, 19-25 June 2021
- Ali, S.,Mayo, S.,Khodadadian Gostar, A.,Tennakoon, R.,Bab-Hadiashar, A.,Mcann, T.,Tuhumury, H.,Favaro, J. (2021). Automatic segmentation for synchrotron-based imaging of porous bread dough using deep learning approach In: Journal of Synchrotron Radiation, 28, 566 - 575
- Kamoona, A.,Khodadadian Gostar, A.,Bab-Hadiashar, A.,Hoseinnezhad, R. (2021). Point Pattern Feature-Based Anomaly Detection for Manufacturing Defects, in the Random Finite Set Framework In: IEEE Access, 9, 158672 - 158681
- Phan, D.,Bab-Hadiashar, A.,Fayyazi, M.,Hoseinnezhad, R.,Nakhaie Jazar, R.,Khayyam, H. (2020). Interval Type-2 Fuzzy Logic Control for Energy Management of Hybrid Electric Autonomous Vehicle In: IEEE Transactions on Intelligent Vehicles, , 1 - 11
- Khayyam, H.,Jamali, A.,Bab-Hadiashar, A.,Esch, T.,Ramakrishna, S.,Jalili, M.,Naebe, M. (2020). A Novel Hybrid Machine Learning Algorithm for Limited and Big Data Modeling with Application in Industry 4.0 In: IEEE Access, 8, 111381 - 111393
- Non-destructive detection and analysis in AM metal (PhD candidate Sana Awan). Funded by: CSIRO Post Graduate Top Up Scholarship from (2021 to 2025)
- Automated Integrity Assessment of Self-Piercing Rivet Joints: i4.0 Approach. Funded by: ARC Linkage Project Grants 2019 from (2020 to 2023)
- Agreement for the funding of Postdoctoral and Associate Positions relating to Maritime Platform Dynamics and Control. Funded by: Defence Science and Technology Group - Contract from (2019 to 2022)
- Vision systems for processes control in metal additive manufacturing (CSIRO PhD scholarship student: Jiayu Ye). Funded by: CSIRO Post Graduate Top Up Scholarship from (2018 to 2020)
- Visual intelligence for safe vehicle operation in industrial environment. Funded by: ARC Linkage Grant 2016 from (2016 to 2020)
14 PhD Current Supervisions and 1 Masters by Research Current Supervisions8 PhD Completions and 1 Masters by Research Completions