STAFF PROFILE
Professor Reza Hoseinnezhad
Position:
Professor
College / Portfolio:
STEM College
School / Department:
STEM|School of Engineering
Phone:
+61399256135
Campus:
Bundoora East
Contact me about:
Research supervision
Professor Reza Hoseinnezhad is leading the Mechanical & Automotive Engineering discipline in School of Engineering. His research is currently focused on multi-sensor fusion and machine vision applications in autonomous systems.
To access the full details of his research activities and funded projects, visit his personal web page.
- Ye, J.,Bab-Hadiashar, A.,Hoseinnezhad, R.,Alam, N.,Vargas-Uscategui, A.,Patel, M.,Cole, I. (2023). Predictions of in-situ melt pool geometric signatures via machine learning techniques for laser metal deposition In: International Journal of Computer Integrated Manufacturing, 36, 1345 - 1361
- Mukhaimar, A.,Tennakoon, R.,Hoseinnezhad, R.,Lai, C.,Bab-Hadiashar, A. (2023). Robust pooling through the data mode: Robust Point cloud Classification and Segmentation Through Mode Pooling In: Intelligent Systems with Applications, 17, 1 - 12
- Chuah, W.,Tennakoon, R.,Hoseinnezhad, R.,Suter, D.,Bab-Hadiashar, A. (2023). An Information-Theoretic Method to Automatic Shortcut Avoidance and Domain Generalization for Dense Prediction Tasks In: IEEE Transactions on Pattern Analysis and Machine Intelligence, 45, 10615 - 10631
- Chai, L.,Yi, W.,Hoseinnezhad, R.,Kong, L. (2023). Heterogeneous multi-sensor fusion for PHD filter in decentralized sensor networks In: Information Fusion, 100, 1 - 14
- Ishtiaq, N.,Khodadadian Gostar, A.,Bab-Hadiashar, A.,Hoseinnezhad, R. (2023). Interaction-Aware Labeled Multi-Bernoulli Filter In: IEEE Transactions on Intelligent Transportation Systems, , 1 - 1
- Muthu, S.,Tennakoon, R.,Rathnayake, T.,Hoseinnezhad, R.,Suter, D.,Bab-Hadiashar, A. (2023). Generalized framework for image and video object segmentation using affinity learning and message passing GNNS In: Computer Vision and Image Understanding, 236, 1 - 12
- Blair, A.,Khodadadian Gostar, A.,Tennakoon, R.,Bab-Hadiashar, A.,Hoseinnezhad, R. (2023). Temporal Multiple Rotation Averaging on a Distributed Dynamic Network In: IEEE Transactions on Signal and Information Processing over Networks, 9, 669 - 678
- Macatangay, X.,Hoseinnezhad, R.,Fowler, A.,Kayastha, S.,Bab-Hadiashar, A. (2023). Addressing Actuator Saturation during Fault Compensation in Model-Based Underwater Vehicle Control In: Electronics (Switzerland), 12, 1 - 24
- Klupacs, J.,Khodadadian Gostar, A.,Rathnayake, T.,Gondal, I.,Bab-Hadiashar, A.,Hoseinnezhad, R. (2022). Multiagent Information Fusion for Connected Driving: A Review In: IEEE Access, 10, 85030 - 85049
- Blair, A.,Khodadadian Gostar, A.,Tennakoon, R.,Bab-Hadiashar, A.,Li, X.,Palmer, J.,Hoseinnezhad, R. (2022). Distributed Multi-Sensor Control for Multi-Target Tracking In: Proceedings of the 11th International Conference on Control, Automation and Information Sciences, Hanoi, Vietnam, 21/11/2022-24/11/2022
- CSIRO Data 61 Next Generation Emerging Technologies Graduate Program - Emerging Technologies for the Integration of Autonomous Vehicles into Networked Naval Operations 145-NGETR-R3 [Program Funding Agreement]. Funded by: CSIRO - Next Generation Graduates Programs from (2024 to 2029)
- 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 2024)
- Wireless systems for vehicular access, security and safety. Funded by: Automotive Engineering Graduate Program from (2019 to 2022)
- Advanced Integrated Photonics Circuits for Future Navigation Systems in Autonomous Driving Cars. Funded by: Automotive Engineering Graduate Program from (2019 to 2022)
Note: Supervision projects since 2004
18 PhD Completions5 PhD Current Supervisions
Range segmentation, Motion segmentation, Motion estimation, Visual tracking, Autonomous vehicles, sensor fusion, Drive-by-Wire, Multi-Target Tracking.