Reza Hoseinnezhad

Professor Reza Hoseinnezhad is a leading researcher, academic leader and educator in autonomous systems, statistical signal processing, information fusion, machine vision, multi-object tracking and intelligent transportation systems. He has been based at RMIT University since 2010 and is Professor of Autonomous Systems in the School of Engineering.

 

Before joining RMIT, Professor Hoseinnezhad held academic and research positions at the University of Tehran, Swinburne University of Technology and the University of Melbourne. He holds a PhD in Robotics from the University of Tehran, where his thesis on intelligent path planning of mobile robots using sensor data fusion received the Distinguished Thesis Award.

 

The domains in which Professor Hoseinnezhad has managed and contributed research include statistical machine vision, information fusion, multi-object systems, multi-target tracking, computer vision, autonomous vehicles, robotics, sensor fusion, robust estimation, control systems, intelligent transportation systems, autonomous navigation, machine learning, safety-critical systems and advanced manufacturing. As a result, he has contributed to a substantial portfolio of nationally competitive, government-funded, industry-facing and internationally collaborative research, creating impact through research translation, industry partnerships, patents, academic publications, invited keynote addresses, HDR supervision and academic leadership.

 

Professor Hoseinnezhad’s research is centred on the development of mathematical, statistical and computational methods that enable intelligent systems to perceive, estimate, track, decide and act in uncertain, cluttered and dynamic environments. His work has made significant contributions to random finite set theory, labelled multi-Bernoulli filtering, multi-target tracking, track-before-detect methods, distributed multi-sensor fusion, sensor management, robust visual estimation, stochastic geometry and statistical computer vision. These methods underpin applications in autonomous vehicles, connected driving, robotic swarms, radar systems, defence platforms, surveillance, smart manufacturing, infrastructure inspection, medical imaging, microscopy, underwater vehicles and industrial automation.

 

Professor Hoseinnezhad’s projects have required the deployment of advanced signal processing, machine vision, sensor fusion, artificial intelligence, control theory and autonomous systems methods for a wide range of government and industry partners. His funded research has involved organisations including the Australian Research Council, iMOVE CRC, CSIRO Data61, Food Agility CRC, Defence Science and Technology Group, Defence Science Institute, Rheinmetall Defence Australia, Rail Manufacturing CRC, Australian Meat Processor Corporation, Automotive Engineering Graduate Program partners, APV Engineering & Testing Services, APV Safety Products and Thrust Maritime.

 

Relevant government and industry projects have also ensued with the Department of Infrastructure, Transport, Regional Development, Communications, Sport and the Arts; the Australian Mathematical Sciences Institute; the Victorian Government; the Commonwealth Government; and international funding agencies including the Natural Science Foundation of China. These projects span road condition monitoring, undersea navigation, intelligent automation, mixed reality for aircraft maintenance, connected vehicle networks, advanced photonic navigation, fleet-based sensing, robotic inspection, meat processing analytics, road safety, vehicle safety, autonomous vehicle deployment and automated manufacturing inspection.

 

Professor Hoseinnezhad works with collaborators across Australia, Asia, Europe, the United Kingdom, North America and South America, thereby fostering a global outlook and reach through his research. He has delivered keynote, plenary and invited talks in Australia, Vietnam, the Czech Republic, Iran, Chile, China, the United Kingdom and the United States. He has also contributed expert commentary on autonomous driving and participated in strategic university discussion on emerging issues such as lethal autonomous weapons.

 

Professor Hoseinnezhad has published extensively across signal processing, computer vision, robotics, autonomous vehicles, intelligent transportation systems, control, vehicular technology, industrial electronics, aerospace systems and artificial intelligence. His publications include the 2024 research book The Labeled Multi-Bernoulli Filter: A Comprehensive Guide for Practitioners, book chapters, journal articles and conference papers in leading venues such as IEEE Transactions on Signal Processing, IEEE Transactions on Intelligent Transportation Systems, IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing, IEEE Transactions on Vehicular Technology, IEEE Transactions on Industrial Electronics, Pattern Recognition, Computer Vision and Image Understanding, Information Fusion, Aerospace Science and Technology, ISA Transactions and Engineering Applications of Artificial Intelligence.

 

On research leadership, Professor Hoseinnezhad has held major academic leadership roles within RMIT’s School of Engineering. From 2019 to 2023 he served as Associate Dean, Mechanical and Automotive Engineering, leading a portfolio with a headcount of 72 and monitoring a budget of $65 million. During this period, the portfolio’s research income KPI increased five-fold and its industry engagement KPI increased seven-fold. He has also served as Discipline Leader for Manufacturing and Mechatronics and as Research Development Lead for the School of Engineering, facilitating industry engagement across a portfolio of more than 200 staff.

 

Professor Hoseinnezhad’s research has also resulted in intellectual property outcomes. His patents include signal processing methods and apparatus for missing data handling by multi-step-ahead predictive filtering; signal processing and position-determining apparatus and methods; and pulse and gap control for electrical discharge machining equipment. This work reflects the applied engineering orientation of his research, connecting theoretical advances in estimation, sensing and control with practical technologies in automotive systems, manufacturing and safety-critical engineering.

 

Professor Hoseinnezhad has made significant contributions to engineering education. His teaching areas include mechatronics, autonomous systems, signals and systems, image processing, probability and statistics, control systems, sensor fusion and machine vision. At RMIT he developed and coordinated project-based learning courses including Automated System Design, Autonomous Systems and Mechatronics Principles. He has also taught Automatic Control Systems and Design for Assembly and Automation, and has held teaching roles at the University of Melbourne, Swinburne University of Technology and the University of Tehran.

 

Professor Hoseinnezhad mentors researchers from early-stage students through to PhD candidates and postdoctoral collaborators. His PhD supervision record includes 16 completions and 6 current candidates. His supervision spans autonomous systems, multi-object tracking, computer vision, sensor fusion, robotics, connected vehicles, machine learning, smart manufacturing, undersea systems, intelligent transportation and safety-critical engineering systems.

 

Professor Hoseinnezhad has contributed to scholarly and professional service through national research assessment, editorial leadership and university governance. He has served as an assessor for Australian Research Council Discovery, Linkage and Centre of Excellence programs, as Associate Editor of IEEE Transactions on Vehicular Technology, and as Associate Editor of IEEE Transactions on Intelligent Transportation Systems. He has also served as an elected member of the RMIT Academic Board and RMIT College Board, and as an invited member of an Engineers Australia accreditation panel.

 

Professor Hoseinnezhad has received numerous awards and recognitions for research, teaching, leadership and scholarly contribution. In 2026, he was recognised as a National Field Leader in Signal Processing in The Australian Research Magazine’s Top 250 Australian Researchers. He has also received best paper awards at international conferences, the RMIT School of Engineering Research Excellence Award, the RMIT Learning and Teaching Innovation Award, the RMIT Outstanding Contribution Award, Swinburne University of Technology’s Vice Chancellor Research Award, the University of Tehran Distinguished Thesis Award and a Japanese Government Monbusho Scholarship.

 

Through his research, leadership, teaching and professional service, Professor Hoseinnezhad advances autonomous systems that are mathematically rigorous, computationally robust and relevant to real-world societal and industrial challenges. His work connects statistical signal processing, machine vision, sensor fusion, robotics, artificial intelligence and engineering practice to support safer transport systems, more capable autonomous platforms, smarter manufacturing processes, more reliable sensing networks and more intelligent decision-making systems.

  Awards

• 2026 – National Field Leader in Signal Processing, The Australian Research Magazine: Top 250 Australian Researchers 2026
• 2025 – Best Paper Award, International Conference on Intelligent Systems and Networks, Hanoi, Vietnam
• 2023 – Best Paper Award, International Conference on Control, Automation and Information Sciences, Hanoi, Vietnam
• 2018 – Research Excellence Award, School of Engineering, RMIT University, awarded for outstanding research performance in 2017
• 2013 – Learning and Teaching Innovation Award, School of Aerospace, Mechanical and Manufacturing Engineering, RMIT University, awarded for development of project-based learning courses and laboratories
• 2013 – Best Paper Award, International Conference on Control, Automation and Information Sciences, Saigon, Vietnam
• 2013 – Outstanding Contribution Award, School of Aerospace, Mechanical and Manufacturing Engineering, RMIT University, awarded for overall outstanding performance in teaching and research
• 2006 – Vice Chancellor Research Award, Swinburne University of Technology, awarded for outstanding research performance in the early career category
• 2003 – Distinguished Thesis Award, University of Tehran, awarded for outstanding PhD research
• 2000 – Monbusho Scholarship, awarded by the Japanese Government

  Funded Research Projects

 

Current and Recent Research Projects

 

• 2025–2029 – Physics-Informed, Passive Undersea Navigation via Situational Awareness
  Funding – CSIRO Data61 NGET Graduate Program, Emerging Technologies for the Integration of Autonomous Vehicles into Networked Naval Operations, $117,505
• 2025–2028 – Crash Dynamics Simulation: Enhancing Vehicle Safety and Occupant Survival Strategies
  Funding – National Industry PhD Grant, APV Engineering & Testing Services, $155,000
• 2025–2028 – Electronic High-Speed Pre-Tension System for a Seatbelt Retractor
  Funding – National Industry PhD Grant, APV Safety Products, $155,000
• 2025–2027 – Enhancing Road Safety Through Fleet-Based Vehicle Sensor Technology: A Strategy for Monitoring Road Conditions in Australia
  Funding – Department of Infrastructure, Transport, Regional Development, Communications, Sport and the Arts, $1.25 million
• 2025–2026 – High-Speed In-Situ Characterisation of Aeroperm Ribbon
  Funding – iMOVE CRC, Project 1-091, $600,000
• 2024–2026 – Empowering Data-Driven Decision Making in Meat Processing Plants
  Funding – Food Agility CRC, Project FA141, $795,000
• 2022–2025 – All System Analysis, Analytics and Intelligent Automation
  Funding – CSIRO Data61 Next Generation Graduates Program, $1,073,880
• 2022–2023 – Control and Optimise a Marine Barge on a Lake Using Mathematical Modelling and Control Theory
  Funding – APR.Intern and Thrust Maritime Pty Ltd, $16,000
• 2022 – Mixed Reality for Aircraft Maintenance
  Funding – Defence Science and Technology Group, $100,000
• 2021–2025 – Detection of Structure and Defects of Additively Manufactured Parts
  Funding – CSIRO PhD Scholarship, $81,000
• 2021–2022 – Capability Development for 3D Virtual Representation of Stress Visualisation Data
  Funding – Defence Science Institute, $120,000
• 2020–2023 – Automated Integrity Assessment of Self-Piercing Rivet Joints: i4.0 Approach
  Funding – Australian Research Council Linkage Project LP190100165, $281,205
• 2020–2022 – ACW Phase 1: Deep Intelligence Machine Simulator
  Funding – Rheinmetall Defence Australia, $1,343,378
• 2020 – Effective Tracking in Multi-Agent Systems
  Funding – Australian Mathematical Sciences Institute, $20,500
• 2020 – Drone Video/Image Feature Extraction and Labelling
  Funding – Australian Mathematical Sciences Institute, $14,500

  Past Research Projects

 

• 2019–2022 – Miniature Crawling Robots for Rolling Stock Manufacture and Maintenance
  Funding – Rail Manufacturing CRC, RM-CRC Grant R2.7.10, $150,000
• 2019–2021 – Advanced Integrated Photonics Circuits for Future Navigation Systems in Autonomous Driving Cars
  Funding – Automotive Engineering Graduate Program, AEGP000007, $264,858
• 2019–2021 – Wireless Systems for Vehicular Access, Security and Safety
  Funding – Automotive Engineering Graduate Program, AEGP000053, $505,716
• 2019–2021 – Development of a Simulation Tool for Adoption and Deployment of Autonomous Vehicles
  Funding – Automotive Engineering Graduate Program, AEGP000050, $262,858
• 2019–2021 – Multi-Target Tracking for Autonomous Vehicle Cooperative Perception
  Funding – Natural Science Foundation of China, NSFC Grant 51805055, ¥250,000
• 2018–2021 – Dynamic Programming Based Track-Before-Detect Method for Netted Radar Systems
  Funding – Natural Science Foundation of China, NSFC Grant 61771110, ¥670,000
• 2018–2020 – Vision Systems for Process Control in Metal Additive Manufacturing
  Funding – CSIRO PhD Scholarship, $81,000
• 2017–2018 – Intelligent Solutions for Boxed Beef Trim Export Enhancement
  Funding – Australian Meat Processor Corporation, $280,000
• 2016–2018 – Crowd Tracking and Visual Analytics for Rapidly Deployable Imaging Devices
  Funding – Australian Research Council Linkage Project LP160101081, $301,597
• 2016–2018 – Visual Intelligence for Safe Vehicle Operation in Industrial Environment
  Funding – Australian Research Council Linkage Project LP160100662, $356,250
• 2016–2018 – Multi-Object Estimation for Live Cell Microscopy
  Funding – Australian Research Council Discovery Project DP160104662, $419,552
• 2016–2018 – Educational Pathways: Creating a Highly Skilled Meat Industry
  Funding – Australian Meat Processor Corporation, $950,348
• 2015–2016 – Development of Machine Vision Technologies for Automated Activity Detection
  Funding – Commonwealth Government Research Connection Grant RC48071, $98,676
• 2015 – Development of Advanced Computer Vision Technology for Smart Time-Lapse Photography
  Funding – Victorian Government Technology Development Voucher TDev396, $62,500
• 2014–2017 – Automated Visual Inspection and Preparation of Live Animals for Meat Processing
  Funding – Australian Meat Processor Corporation, $445,600
• 2014–2017 – Development and Demonstration of a Low-Signature, Rechargeable and Portable Energy Supply Using Reversible Hydrogen Fuel Cells
  Funding – Defence Science and Technology Organisation Capability and Technology Demonstrator Project, $1,600,000
• 2013–2016 – Intelligent Collision Avoidance System for Mobile Industrial Platforms
  Funding – Australian Research Council Linkage Project LP130100521, $385,000
• 2013–2016 – A Stochastic Geometric Framework for Bayesian Sensor Array Processing
  Funding – Australian Research Council Discovery Project DP130104404, $295,000
• 2005–2008 – Data Fusion Techniques for Electro-Mechanical Braking Systems
  Funding – Australian Research Council Linkage Project LP0561923, $186,664

  Publications

Professor Hoseinnezhad’s publication record includes:

• 2024 – The Labeled Multi-Bernoulli Filter: A Comprehensive Guide for Practitioners, Cambridge Scholars Publishing
• Book chapters on audio-visual fusion, intelligent situational awareness, reinforcement learning for quadruped robots, stochastic sensor management, visual data segmentation and nonlinear electromechanical braking systems
• Journal articles in signal processing, intelligent transportation systems, pattern analysis, machine vision, computer vision, autonomous vehicles, robust estimation, multi-object tracking, sensor fusion, robotics, medical imaging, industrial electronics and artificial intelligence
• Conference papers in leading international venues including IEEE/RSJ International Conference on Intelligent Robots and Systems, IEEE/CVF Conference on Computer Vision and Pattern Recognition, IEEE Intelligent Transportation Systems Conference, International Conference on Information Fusion, International Conference on Control, Automation and Information Sciences, and related venues

  Patents and Intellectual Property

 

• 2014 – Pulse and Gap Control for Electrical Discharge Machining Equipment
  Patent Number PCT/AU2014/000076
• 2006 – Signal Processing Methods and Apparatus: Missing Data Handling by a Multi-Step-Ahead Predictive Filter
  Published as International Patent WO/2006/092026, with associated Chinese, European and Canadian patents
• 2005 – Signal Processing and Position-Determining Apparatus and Methods
  Published as International Patent WO2005124487, with associated United States, Japanese, European, Chinese and Canadian patents

  Press and Media

 

• 2024 – Media Interview, 2PM Radio 531, Australia
  Expert commentary on Tesla’s proposal to see fully autonomous self-driving cars on United States roads by 2026
• 2019 – Strategic Conversation, RMIT Academic Board, Melbourne, Australia
  Contribution to institutional discussion on joining the pledge against lethal autonomous weapons
• 2010 – BusinessWeek, published online
  Commentary in “Toyota’s woes raise questions about auto electronics”

  Invited Keynotes, Plenary Talks and Presentations

 

• 2025 – Keynote Talk
  International Conference on Intelligent Systems and Networks, Hanoi, Vietnam
• 2022 – Keynote Talk
  International Conference on Control, Automation and Information Sciences, Hanoi, Vietnam
• 2021 – Invited Plenary
  IEEE/RSJ International Conference on Intelligent Robots and Systems, Prague, Czech Republic
• 2018 – Keynote Speaker
  Emerging Sensing Technologies Summit, RMIT University, Melbourne, Australia
• 2017 – Keynote Speaker
  Iranian Electrical Engineering Conference, K. N. Toosi University of Technology, Tehran, Iran
• 2016 – Keynote Speaker
  IEEE RAS International Workshop on Vision, Robotics and Tracking Applications, University of Chile, Santiago, Chile
• 2015 – Invited Talk
  Recent Developments in Multi-Bernoulli Solutions for Multi-Target Tracking, Fudan University, Shanghai, China
• 2015 – Invited Talk
  Recent Developments in Multi-Bernoulli Solutions for Multi-Target Tracking, University of Electronic Science and Technology of China, Chengdu, China
• 2014 – Invited Talk
  Recent Advances in Random Set Solutions for Computer Vision, University of Adelaide, Adelaide, Australia
• 2014 – Invited Talk
  Recent Advances in Bayesian Multi-Object Filtering Using Random Set Theory, University College London, London, United Kingdom
• 2011 – Invited Talk
  Recent Applications of Random Set Theory in Multi-Object Estimation and Tracking, Changshu Institute of Technology, Jiangsu, China
• 2010 – Invited Talk
  Stochastic Geometry for Visual Tracking, University of Adelaide, Adelaide, Australia
• 2010 – Invited Talk
  High-Breakdown Robust Estimation, University of Adelaide, Adelaide, Australia
• 2010 – Invited Talk
  Multi-Object Estimation in a Stochastic Geometric Framework, IEEE Signal Processing Chapter, Curtin University, Perth, Australia
• 2010 – Invited Talk
  Visual Multi-Target Tracking Using Random Finite Sets, CISR, Deakin University, Victoria, Australia
• 2010 – Invited Talk
  Joint Detection and Tracking of Multiple Targets from Video, Center for Multimedia Communication, Rice University, Houston, United States

  Academic Leadership

 

• 2019–2023 – Associate Dean, Mechanical and Automotive Engineering, School of Engineering, RMIT University
  Led a portfolio with a headcount of 72 and monitored a budget of $65 million. During this period, the portfolio’s research income KPI increased five-fold and its industry engagement KPI increased seven-fold.
• 2019 – Discipline Leader, Manufacturing and Mechatronics, School of Engineering, RMIT University
  Led a portfolio with a headcount of 24, including staff workplan management.
• 2018 – Research Development Lead, School of Engineering, RMIT University
  Facilitated industry engagement across a portfolio of more than 200 staff, contributing to $2 million in new research income.

  Teaching

 

Professor Hoseinnezhad’s teaching areas include mechatronics, autonomous systems, signals and systems, image processing, probability and statistics, control systems, sensor fusion and machine vision.

His teaching experience includes:

 

• 2025–present – Automatic Control Systems
  Lecturer and Course Coordinator, RMIT University
• 2024–present – Design for Assembly and Automation
  Lecturer and Course Coordinator, RMIT University
• 2010–2019 – Automated System Design
  Lecturer and Course Coordinator, RMIT University; project-based learning course developed from scratch
• 2010–2019 – Autonomous Systems
  Lecturer and Course Coordinator, RMIT University; project-based learning course developed from scratch
• 2010–2015 – Mechatronics Principles
  Lecturer and Course Coordinator, RMIT University; project-based learning course developed from scratch
• 2009 – Control 1
  Lecturer, University of Melbourne
• 2004–2008 – Robotics and Mechatronics Project 2
  Lecturer and Laboratory Instructor, Swinburne University of Technology
• 2004–2008 – Robotics and Mechatronics Project 1
  Lecturer and Laboratory Instructor, Swinburne University of Technology
• 2001–2002 – Engineering Statistics and Probability
  Lecturer and Course Coordinator, University of Tehran
• 2001–2002 – Signals and Systems
  Lecturer and Course Coordinator, University of Tehran
• 1996–1999 – Linear Control Systems
  Lecturer, University of Tehran
• 1996–1999 – Electronics 1
  Lecturer, University of Tehran
• 1996–1999 – Electric Circuits 1
  Lecturer, University of Tehran

  PhD Supervision

 

• Current PhD candidates: 6
• PhD completions: 16

  Scholarly and Professional Service

 

• 2023 – Invited Member of Engineers Australia Accreditation Panel
  Engineers Australia
• 2017–2018 – Elected Member of RMIT Academic Board
  RMIT University
• 2015–2016 – Elected Member of RMIT College Board
  RMIT University
• 2011–2019 – Associate Editor
  IEEE Transactions on Intelligent Transportation Systems
• 2010–present – Assessor
  Australian Research Council Centre of Excellence Program
• 2008–present – Assessor
  Australian Research Council Discovery and Linkage Project Programs
• 2005–2012 – Associate Editor
  IEEE Transactions on Vehicular Technology