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.
- 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
- Yuan, Y.,Yi, W.,Hoseinnezhad, R.,Varshney, P. (2021). Robust Power Allocation for Resource-Aware Multi-Target Tracking with Colocated MIMO Radars In: IEEE Transactions on Signal Processing, 69, 443 - 458
- Chuah, W.,Tennakoon, R.,Hoseinnezhad, R.,Bab-Hadiashar, A. (2021). Deep Learning-Based Incorporation of Planar Constraints for Robust Stereo Depth Estimation in Autonomous Vehicle Applications In: IEEE Transactions on Intelligent Transportation Systems, , 1 - 12
- Khodadadian Gostar, A.,Rathnayake, T.,Tennakoon, R.,Bab-Hadiashar, A.,Battistelli, G.,Chisci, L.,Hoseinnezhad, R. (2021). Centralized Cooperative Sensor Fusion for Dynamic Sensor Network with Limited Field-of-View via Labeled Multi-Bernoulli Filter In: IEEE Transactions on Signal Processing, 69, 878 - 891
- 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
- Tennakoon, R.,Bortsova, G.,Ørting, S.,Khodadadian Gostar, A.,Wille, M.,Saghir, Z.,Hoseinnezhad, R.,de Bruijne, M.,Bab-Hadiashar, A. (2020). Classification of Volumetric Images Using Multi-Instance Learning and Extreme Value Theorem In: IEEE Transactions on Medical Imaging, 39, 854 - 865
- Yi, W.,Yuan, Y.,Hoseinnezhad, R.,Kong, L. (2020). Resource Scheduling for Distributed Multi-Target Tracking in Netted Colocated MIMO Radar Systems In: IEEE Transactions on Signal Processing, 68, 1602 - 1617
- Phan, D.,Bab-Hadiashar, A.,Fayyazi, M.,Hoseinnezhad, R.,Nakhaie Jazar, R.,Khayyam, H. (2020). Interval Type-2 Fuzzy Logic Control for Energy Management of Hybrid Electric Autonomous Vehicle In: IEEE Transactions on Intelligent Vehicles, , 1 - 11
- 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
12 PhD Completions8 PhD Current Supervisions
Range segmentation, Motion segmentation, Motion estimation, Visual tracking, Autonomous vehicles, sensor fusion, Drive-by-Wire, Multi-Target Tracking.