Alireza Bab-Hadiashar

Professor Alireza Bab-Hadiashar

Professor

Details

About

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

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.

Research fields

  • 4603 Computer vision and multimedia computation
  • 4001 Aerospace engineering
  • 4605 Data management and data science
  • 4007 Control engineering, mechatronics and robotics
  • 4009 Electronics, sensors and digital hardware
  • 4611 Machine learning
  • 4010 Engineering practice and education
  • 4008 Electrical engineering
  • 4607 Graphics, augmented reality and games
  • 4602 Artificial intelligence

Academic positions

  • Associate Professor
  • Swinburne University of Technology
  • , Australia
  • 2004 – 2011
  • Senior Lecture
  • Swinburne University of Technology
  • , Australia
  • 2002 – 2004
  • Lecturer
  • Swinburne University of Technolog
  • , Australia
  • 1999 – 2001
  • Postdoctoral Research Associate
  • Monash University
  • , Australia
  • 1997 – 1999

Supervisor projects

  • Enhanced Collaborative Situational Awareness in Robotic Teaming through Multi-Object Tracking with Intermittent Communication
  • 4 Jun 2024
  • Learning Robust and Generalisable Models for Computer Vision Using Animation
  • 21 Dec 2023
  • Computational Modeling for Visual Attention using Eye Gaze Tracking in Dynamic Scene
  • 13 Dec 2023
  • High Rate Manufacturing Technologies For Preforming Complex Composite Aerostructures
  • 12 Dec 2023
  • Digital Manufacturing Technologies
  • 5 Dec 2023
  • Detecting prostate cancer for radiotherapy treatments using deep learning approaches
  • 27 Oct 2023
  • Learning Robust and Generalisable Models for Computer Vision Using Animation
  • 17 Oct 2023
  • Learning Robust and Generalisable Models for Computer Vision Using Animation
  • 30 May 2023
  • Robust Stereo Vision System
  • 26 Apr 2023
  • Computer Vision based Automated Visual Inspection of Transparent Packaging
  • 14 Apr 2023
  • Swarm Tracking in the Random Finite Set Framework
  • 20 Oct 2022
  • Automated Hyperspectral Characterisation Station for Laboratories
  • 6 Jul 2022
  • CSIRO - Detection of Defects in Additive Manufacturing
  • 8 Nov 2021
  • Vision Systems for Processes Control in Metal Additive Manufacturing
  • 6 Jan 2021
  • Exploratory Analysis of the Use of Real-Time 4D Reconstruction During Cold Spray Additive Manufacturing
  • 13 Nov 2020
  • Statistical Information Fusion for Multi-Camera Visual Tracking
  • 18 Jun 2020
  • Learning Robust Models for Medical Imaging Applications
  • 20 Dec 2019
  • Stochastic Geometric Information Fusion for Cooperative Driving
  • 10 Dec 2019
  • Fault Tolerant Control of Autonomous Underwater Vehicles
  • 2 Jul 2019
  • Tracking of Multiple Interacting Targets in the Random Finite Set Framework
  • 27 Mar 2019
  • Recognition of Human Emotion Induced by Visual Contents of Images
  • 15 Jan 2019
  • Passive Visual Depth Estimation in the Deep Learning Era
  • 13 Dec 2018
  • In-Situ Monitoring of Laser Metal Deposition for Additive Manufacturing
  • 29 Oct 2018
  • A Cable-Driven Neck Rehabilitation Robot for Neural Rehabilitation
  • 18 Oct 2018
  • Machine Learning for Volumetric Data Analysis of Bread Dough: Meeting the Synchrotron Challenge
  • 2 Jul 2018
  • Anomaly Detection in Machine Vision Applications
  • 1 Jun 2018
  • Robust 3D Shape Classification: A Machine Learning Approach
  • 1 Mar 2018
  • Identification of Moving Objects in Complex Dynamic Scenes Using Semantics
  • 1 Mar 2018
  • Intelligent Energy Management Control Systems for Autonomous Vehicles
  • 3 Jul 2017
  • Selective Sensor Control for Multi-Object Tracking
  • 18 Jul 2016
  • Multi - Object Tracking in Video using Labeled Random Finite Sets
  • 21 Jul 2014
  • Improved Image Analysis by Maximised Statistical Use of Geometry-Shape Constraints
  • 3 Mar 2014

Teaching interests

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

Research interests

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

Initiatives and links

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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 'Sentient' by Hollie Johnson, Gunaikurnai and Monero Ngarigo.