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.
- 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, , 1 - 18
- Chuah, W.,Tennakoon, R.,Hoseinnezhad, R.,Suter, D.,Bab-Hadiashar, A. (2022). Semantic Guided Long Range Stereo Depth Estimation for Safer Autonomous Vehicle Applications In: IEEE Transactions on Intelligent Transportation Systems, 23, 18916 - 18926
- Chuah, W.,Tennakoon, R.,Hoseinnezhad, R.,Bab-Hadiashar, A.,Suter, D. (2022). ITSA: An Information-Theoretic Approach to Automatic Shortcut Avoidance and Domain Generalization in Stereo Matching Networks In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, New Orleans, United States of America, 18/06/2022 - 24/06/2022
- Adinehvand, M.,Asadi, E.,Lai, C.,Khayyam, H.,Hoseinnezhad, R. (2022). Design and adaptive control of a kinematically redundant robot with enhanced trajectory tracking for climbing in tight spaces In: Mechanism and Machine Theory, 177, 1 - 16
- Ye, J.,Alam, N.,Vargas-Uscategui, A.,Patel, M.,Bab-Hadiashar, A.,Hoseinnezhad, R.,Cole, I. (2022). In situ monitoring of build height during powder-based laser metal deposition In: International Journal of Advanced Manufacturing Technology, 122, 3739 - 3750
- Muthu, S.,Tennakoon, R.,Hoseinnezhad, R.,Bab-Hadiashar, A. (2022). Unsupervised video object segmentation: an affinity and edge learning approach In: International Journal of Machine Learning and Cybernetics, 13, 3589 - 3605
- Kamoona, A.,Khodadadian Gostar, A.,Bab-Hadiashar, A.,Hoseinnezhad, R. (2022). Multiple instance-based video anomaly detection using deep temporal encoding–decoding In: Expert Systems with Applications, 214, 1 - 13
- 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
- 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)
- 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)
- Development of a Simulation Tool for Adoption and Deployment of Autonomous Vehicles. Funded by: Automotive Engineering Graduate Program from (2019 to 2022)
Note: Supervision projects since 2004
16 PhD Completions4 PhD Current Supervisions
Range segmentation, Motion segmentation, Motion estimation, Visual tracking, Autonomous vehicles, sensor fusion, Drive-by-Wire, Multi-Target Tracking.