STAFF PROFILE
Professor Reza Hoseinnezhad
Position:
Associate Dean Mechanical & Automative
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.
- Acharya, D.,Tennakoon, R.,Muthu, S.,Khoshelham, K.,Hoseinnezhad, R.,Bab-Hadiashar, A. (2022). Single-image localisation using 3D models: Combining hierarchical edge maps and semantic segmentation for domain adaptation In: Automation in Construction, 136, 1 - 15
- Ye, J.,Bab-Hadiashar, A.,Hoseinnezhad, R.,Alam, N.,Vargas-Uscategui, A.,Patel, M.,Cole, I. (2022). Predictions of in-situ melt pool geometric signatures via machine learning techniques for laser metal deposition In: International Journal of Computer Integrated Manufacturing, , 1 - 17
- Mukhaimar, A.,Tennakoon, R.,Lai, C.,Hoseinnezhad, R.,Bab-Hadiashar, A. (2022). Robust Object Classification Approach Using Spherical Harmonics In: IEEE Access, 10, 21541 - 21553
- 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, , 1 - 12
- 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
- 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
- Adinehvand, M.,Asadi, E.,Lai, C.,Khayyam, H.,Tan, K.,Hoseinnezhad, R. (2021). BogieBot: A Climbing Robot in Cluttered Confined Space of Bogies with Ferrous Metal Surfaces In: Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2021), Prague, Czech Republic, 27 September - 1 October 2021
- 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
- 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
13 PhD Completions7 PhD Current Supervisions
Range segmentation, Motion segmentation, Motion estimation, Visual tracking, Autonomous vehicles, sensor fusion, Drive-by-Wire, Multi-Target Tracking.