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  • Assoc Prof Alexander Rassau

    Assoc Prof Alexander Rassau

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Associate Professor Alexander Rassau

Associate Professor

Staff Member Details
Telephone: +61 8 6304 5026
Email: a.rassau@ecu.edu.au
Campus: Joondalup  
Room: JO23.348  
ORCID iD: https://orcid.org/0000-0002-8295-5681

Assoc Prof Alexander Rassau received a Bachelor of Science (Cybernetics and Control Engineering) and a PhD in microelectronics from the University of Reading in the United Kingdom in 1997 and 2000 respectively.

He has played an active role in the very rapid expansion of the School over the past decade, overseeing the introduction of a wide range of new and innovative engineering programs and courses. Since 1998, he has also been actively involved as a researcher and educator in the areas of embedded systems, intelligent control, machine learning, automation and robotics.

Research Areas and Interests

  • Robotics and Automation
  • Neuromorphic systems
  • Machine learning and AI

Qualifications

  • DOCTOR OF PHILOSOPHY, England, 2000.

Research Outputs

2024

Journal Articles

2023

Journal Articles

  • Hameed, K., Chai, D., Rassau, A. (2023). Texture-based latent space disentanglement for enhancement of a training dataset for ANN-based classification of fruit and vegetables. Information Processing in Agriculture, 10(1), 85-105. https://doi.org/10.1016/j.inpa.2021.09.003.
  • Moniruzzaman, M., Rassau, A., Chai, D., Islam, S. (2023). Structure-Aware Image Translation-Based Long Future Prediction for Enhancement of Ground Robotic Vehicle Teleoperation. Advanced Intelligent Systems, 2023(Article in press), Article number 2200439. https://doi.org/10.1002/aisy.202200439.
  • Wijayathunga, N., Rassau, A., Chai, D. (2023). Challenges and Solutions for Autonomous Ground Robot Scene Understanding and Navigation in Unstructured Outdoor Environments: A Review. Applied Sciences, 13(17), article number 9877. https://doi.org/10.3390/app13179877.
  • Moniruzzaman, M., Rassau, A., Chai, D., Islam, S. (2023). Long Future Frame Prediction using Optical Flow informed Deep Neural Networks for Enhancement of Robotic Teleoperation in High Latency Environments. Journal of Field Robotics, 40(2), 393-425. https://doi.org/10.1002/rob.22135.

Conference Publications

  • Uzair, W., Chai, D., Rassau, A. (2023). Automated Netlist Generation from Offline Hand-Drawn Circuit Diagrams. 2023 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2023 (364-370). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/DICTA60407.2023.00057.

2022

Journal Articles

  • Moniruzzaman, M., Rassau, A., Chai, D., Islam, S. (2022). High Latency Unmanned Ground Vehicle Teleoperation Enhancement by Presentation of Estimated Future through Video Transformation. Journal of Intelligent and Robotic Systems: theory and applications, 106(2), article number 48. https://doi.org/10.1007/s10846-022-01749-3.
  • Moniruzzaman, M., Rassau, A., Chai, D., Islam, S. (2022). Robotic teleoperation methods and enhancement techniques: A comprehensive survey. Robotics and Autonomous Systems, 150(2022), article number 103973. https://doi.org/10.1016/j.robot.2021.103973.
  • Vanarse, A., Osseiran, A., Rassau, A., Van Der Made, P. (2022). Application of Neuromorphic Olfactory Approach for High-Accuracy Classification of Malts. Sensors, 22(2), article number 440. https://doi.org/10.3390/s22020440.
  • Hameed, K., Chai, D., Rassau, A. (2022). Score-based mask edge improvement of Mask-RCNN for segmentation of fruit and vegetables. Expert Systems with Applications, 190(15 March 2022), article number 116205. https://doi.org/10.1016/j.eswa.2021.116205.

2021

Journal Articles

  • Hameed, K., Chai, D., Rassau, A. (2021). Class distribution-aware adaptive margins and cluster embedding for classification of fruit and vegetables at supermarket self-checkouts. Neurocomputing, 461(21 October 2021), 292-309. https://doi.org/10.1016/j.neucom.2021.07.040.
  • Vafadarshamasbi, A., Guzzomi, N., Rassau, A., Hayward, K. (2021). Advances in Metal Additive Manufacturing: A Review of Common Processes, Industrial Applications, and Current Challenges. Applied Sciences, 11(3), Article number 1213. https://doi.org/10.3390/app11031213.

2020

Journal Articles

  • Hameed, K., Chai, D., Rassau, A. (2020). A Sample Weight and AdaBoost CNN-Based Coarse to Fine Classification of Fruit and Vegetables at a Supermarket Self-Checkout. Applied Sciences, 10(23), Article number 8667. https://doi.org/10.3390/app10238667.
  • Vanarse, A., Espinosa-Ramos, JI., Osseiran, A., Rassau, A., Kasabov, N. (2020). Application of a brain-inspired spiking neural network architecture to odor data classification. Sensors, 20(10), Article number 2756. https://doi.org/10.3390/s20102756.
  • Balash, C., Richardson, S., Guzzomi, N., Rassau, A. (2020). Engineering Mechanics: adoption of project-based learning supported by computer-aided online adaptive assessments–overcoming fundamental issues with a fundamental subject. European Journal of Engineering Education, 45(6), 809-820. https://doi.org/10.1080/03043797.2019.1664413.

Conference Publications

  • Hameed, K., Chai, D., Rassau, A. (2020). A progressive weighted average weight optimisation ensemble technique for fruit and vegetable classification. Proceedings of the 16th International Conference on Control, Automation, Robotics and Vision (303-308). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICARCV50220.2020.9305474.

2019

Journal Articles

  • Vanarse, A., Osseiran, A., Rassau, A. (2019). Real-Time Classification of Multivariate Olfaction Data Using Spiking Neural Networks. Sensors, 19(8), Article number 1841. https://doi.org/10.3390/s19081841.
  • Vanarse, A., Osseiran, A., Rassau, A., Van Der Made, P. (2019). A Hardware-Deployable Neuromorphic Solution for Encoding and Classification of Electronic Nose Data. Sensors, 19(22), Article number: 4831. https://doi.org/10.3390/s19224831.
  • Abushnaf, JF., Rassau, A. (2019). An efficient scheme for residential load scheduling integrated with demand side programs and small‐scale distributed renewable energy generation and storage. International Transactions on Electrical Energy System, 29(2), article no. e2720. https://doi.org/10.1002/etep.2720.
  • Osseiran, A., Vanarse, A., Rassau, A. (2019). Neuromorphic Engineering – A Paradigm Shift for future Instrumentation and Measurement Technologies. IEEE Instrumentation and Measurement Magazine, 22(2), 4-9. https://doi.org/10.1109/MIM.2019.8674627.

2018

Journal Articles

  • Hameed, K., Chai, D., Rassau, A. (2018). A comprehensive review of fruit and vegetable classification techniques. Image and Vision Computing, 80(n/a), 24-44. https://doi.org/10.1016/j.imavis.2018.09.016.
  • Abushnaf, JF., Rassau, A. (2018). Impact of energy management system on the sizing of a grid-connected PV/Battery system. The Electricity Journal, 31(2), 58-66. https://doi.org/10.1016/j.tej.2018.02.009.
  • Helessage Caldera, S., Rassau, A., Chai, D. (2018). Review of deep learning methods in robotic grasp detection. Multimodal Technologies and Interaction, 2(3), 24p.. https://doi.org/10.3390/mti2030057.

Conference Publications

  • Helessage Caldera, S., Rassau, A., Chai, D. (2018). Robotic grasp pose detection using deep learning. 2018 15th International Conference on Control, Automation, Robotics and Vision (ICARCV) (1966-1972). IEEE. https://doi.org/10.1109/ICARCV.2018.8581091.

2017

Journal Articles

  • Vanarse, A., Osseiran, A., Rassau, A. (2017). An Investigation into Spike-Based Neuromorphic Approaches for Artificial Olfactory Systems. Sensors, 17(11), Article number 2591. https://doi.org/10.3390/s17112591.

2016

Journal Articles

  • Vanarse, A., Osseiran, A., Rassau, A. (2016). A review of current neuromorphic approaches for vision, auditory and olfactory sensors. Frontiers in Neuroscience, 10(MAR), Article no. 115. https://doi.org/10.3389/fnins.2016.00115.
  • Abushnaf, JF., Rassau, A., Gornisiewicz, W. (2016). Impact on electricity use of introducing time‐of‐use pricing to a multi‐user home energy management system. International Transactions on Electrical Energy Systems, 26(5), 993-1005. https://doi.org/10.1002/etep.2118.

2015

Journal Articles

  • Abushnaf, JF., Rassau, A., Gornisiewicz, W. (2015). Impact of dynamic energy pricing schemes on a novel multi-user home energy management system. Electric Power Systems Research, 125(August), 124-132. https://doi.org/10.1016/j.epsr.2015.04.003.

2011

Conference Publications

  • Ong, S., Chai, D., Rassau, A. (2011). Adaptive use of thresholding and multiple colour space representation to improve classification of MMCC barcode. 2011 IEEE International Conference on Multimedia and Expo (ICME) (1-6). IEEE. https://doi.org/10.1109/ICME.2011.6011862.
  • Ong, S., Chai, D., Rassau, A. (2011). A robust mobile business card reader using MMCC barcode. 2011 IEEE Symposium on Computers and Informatics (ISCI) (656-661). IEEE. https://doi.org/10.1109/ISCI.2011.5958994.

2010

Conference Publications

  • Ong, S., Chai, D., Rassau, A. (2010). The use of alignment cells in MMCC barcode. Communications and Information Technologies (ISCIT), 2010 International Symposium on (640-645). IEEE. https://doi.org/10.1109/ISCIT.2010.5665067.

2008

Conference Publications

  • Zen, H., Habibi, D., Ahmad, I., Rassau, A. (2008). Node Admision Control For Multimedia Traffic In Ad-Hoc Wlans. International Conference on Advance Technologies for Communications 2008 (417-420). IEEE.
  • Zen, H., Habibi, D., Rassau, A., Wyatt, J. (2008). Adaptive Segregation-Based MAC Protocol for Real-Time Multimedia Traffic in WLANs. Proceedings of the 2007 15th IEEE International Conference on Networks (6p). IEEE.
  • Zen, K., Habibi, D., Rassau, A., Ahmad, I. (2008). Performance Evaluation of IEEE 802.15.4 for Mobile Sensor Network. 5th IFIP International Conference on Wireless and Optical Communications Networks, 2008, WOCN '08 (1-5). IEEE. https://doi.org/10.1109/WOCN.2008.4542536.
  • Zen, H., Habibi, D., Rassau, A., Ahmad, I. (2008). Optimized WLAN MAC Protocol for Multimedia Applications. 5th IFIP International Conference on Wireless and Optical Communications Networks,2008, WOCN '08 (1-5). IEEE. https://doi.org/10.1109/WOCN.2008.4542484.

2007

Book Chapters

  • Kim, C., Rassau, A., Lachowicz, S., Nooshabadi, S., Eshraghian, K. (2007). 3D-SoftChip: A Novel 3D Vertically Integrated Adaptive Computing System. VLSI-SoC: From Systems to Silicon (71-86). Springer.

Conference Publications

  • Zen, H., Habibi, D., Rassau, A., Ahmad, I., Wyatt, J. (2007). Adaptive Segregation-Based MAC Protocol for Real-Time Multimedia Traffic in WLANs. Proceedings of the 2007 15th IEEE International Conference on Networks (6p). IEEE.
  • Zen, H., Habibi, D., Rassau, A., Ahmad, I. (2007). A Segregation Based MAC Protocol for Real-Time Multimedia Traffic in WLANs. Proceedings of IFIP International: Wireless and Optical Communications Networks (WOCN) 2007l (4p). IFIP.

2006

Journal Articles

  • Kim, C., Rassau, A., Lachowicz, S., Myung-Ok Lee, M., Eshraghian, K. (2006). 3D-SoftChip: A Novel Architecture for Next-Generation Adaptive Computing Systems. EURASIP Journal on Applied Signal Processing, 2006, 1-13. https://doi.org/10.1155/ASP/2006/75032.

Conference Publications

  • Lo, K., Habibi, D., Phung, QV., Rassau, A., Nguyen, H. (2006). Efficient p-Cycle Design by Heuristic p-Cycle Selection and Refinement for Servivable WDM Mesh Networks. Proceedings of IEEE Global Telecommunications Conference (GLOBECOM) 2006 (5p). IEEE Communication Society.
  • Lo, K., Habibi, D., Rassau, A., Phung, QV., Nguyen, H., Kang, B. (2006). A Hybrid p-Cycle Search Algorithm for Protection in WDM Mesh Networks. Networks, 2006. ICON '06. 14th IEEE International Conference on (262-267). IEEE. https://doi.org/10.1109/ICON.2006.302637.

2005

Conference Publications

  • Kim, C., Rassau, A., Lachowicz, S., Lee, M., Eshraghian, K. (2005). 3D-SoftChip: A Novel 3D Vertically Integrated Adaptive Computing System. Proceedings, IFIP VLSI-SoC 2005 : IFIP WG 10.5 International Conference on Very Large Scale Integration System-on-Chip (167-172). International Federation for Information Processing.
  • Lee, S., Lachowicz, S., Rassau, A. (2005). An Optical Beam Steering Backplane Architecture for an Opto-ULSI Processor. Proceedings of the 12th International Conference on Mixed Design of Integrated Circuits and Systems MIXDES 2005 (55-59). Technical University of Lodz, Poland.

2004

Conference Publications

  • Lee, S., Lachowicz, S., Lucas, D., Rassau, A., Eshraghian, K., Lee, M. (2004). A Multiphase Beam Steering Silicon Backplane Architecture for an Opto-ULSI Processor. Proceedings Volume IV of the International Conference on Cybernetics and Information Technologies, Systems and Applications 2004 (48-52). International Institute of Informatics and Systemics.
  • Lee, S., Lachowicz, S., Lucas, D., Rassau, A., Eshraghian, K., Lee, M., Alameh, K. (2004). A novel design of beam steering n-phase OPTO-VLSI Processor of IIPS. Electronic Design, Test and Applications (0). IEEE Computer Society.

2002

Conference Publications

  • Lachowicz, S., Rassau, A., Alagoda, G., Eshraghian, K., Pfleiderer, H. (2002). Image Capture using an Integrated 3D SoftChip Processor. 6th World Conference on Systemics, Cybernetics and Informatics, Proceedings Vol XIV, Image Acoustic, Speech and Signal Processing III (). IIIS.
  • Alagoda, G., Rassau, A., Eshraghian, K. (2002). A Massively Parallel EZW Processing Architecture for Real Time Video Coding. 6th World Conference on Systemics, Cybernetics and Informatics, Proceedings Vol XIV, Image Acoustic, Speech and Signal Processing III (). IIIS.
  • Ehrhardt, A., Rassau, A., Alagoda, G., Eshraghian, K. (2002). Massively Parallel Implementation of Exhaustive Block Matching Motion Compensation. 6th World Conference on Systemics, Cybernetics and Informatics, Proceedings Vol XIV, Image Acoustic, Speech and Signal Processing III (). IIIS.
  • Lachowicz, S., Rassau, A., Alagoda, G., Eshraghian, K., Lee, M., Lee, SF. (2002). Image capture using integrated 3D SoftChip technology. Proceedings 5th IEEE International Conference on High speed Networks and Multimedia Communications (). IEEE.
  • Rassau, A., Alagoda, G., Eshraghian, K., Lachowicz, S., Ehrhardt, A. (2002). Design Methodology for a 3D SoftChip Video Processing Architecture. 6th World Conference on Systemics, Cybernetics and Informatics, Vol XIV, Image Acoustic, Speech and Signal Processing III (). IIIS.

Research Projects

  • Application of neuromorphic processing and fusion sensing in artificial intelligence and biomimicry of bees for precision agriculture , AxisTech Pty Ltd, Scholarships to support Industry Engagement PhD Projects, 2021 ‑ 2026, $70,000.
  • Immersive Violence and Aggression De-escalation Experience (IVADE), Department of Health WA, Future Health Research and Innovation Fund - Innovation Challenge 2023 - Sustainable Health Priorities, 2024 ‑ 2026, $474,122.
  • Co-design of a novel immersive educational experience targeting the mining and resources sector for Year 9/10 high school students, Construction Training Fund, Grants, 2024 ‑ 2025, $225,000.
  • AI-driven virtual character animation for aggression and violence de-escalation training in virtual reality, Department of Health WA, Future Health Research and Innovation Fund - Generative AI Applications, 2024, $49,967.
  • Informing Detailed Design of Digital Twinning Capability for the Royal Australian Navy, Department of Defence, Grant, 2023, $168,772.
  • Enhanced Tele-operation for improved control of Autonomous Field Robots in Challenging Environments, Defence Science and Technology Group of the Department of Defence, Scholarships to Support Industry Engagement PhD Projects, 2019 ‑ 2023, $35,000.
  • Exploring the State of the Art in Ground Vehicle Leader-Follower Technologies , Defence Science and Technology Group of the Department of Defence, Grant, 2019, $63,370.
  • WA Centre of Excellence for Microphotonic Systems, Department of Mines and Petroleum, Centre of Excellence, 2004 ‑ 2009, $2,964,970.

Research Student Supervision

Current Supervisions

Principal Supervisor

  • Doctor of Philosophy, Multi-Modal Scene Understanding for Mobile Robot Navigation in Unstructured Outdoor Environments
  • Master of Engineering Science, Neuromorphic SLAM – Exploring the Application of Event-based Vision Sensors and Neuromorphic Processing to the SLAM Problem

Completed Supervisions

Principal Supervisor

  • Master of Engineering Science, 3D-softchip: A novel 3D vertically integrated adaptive computing system.
  • Doctor of Philosophy, Smart home energy management: An analysis of a novel dynamic pricing and demand response aware control algorithm for households with distributed renewable energy generation and storage
  • Doctor of Philosophy, Teleoperation enhancement for improved control of unmanned ground vehicles through video transformation and deep learning based future frame prediction
  • Master of Engineering Science, Learning to grasp in unstructured environments with deep convolutional neural networks using a baxter research robot
  • Doctor of Philosophy: VLSI implementation of a massively parallel wavelet based zerotree coder for the intelligent pixel array

Co-principal Supervisor

  • Doctor of Philosophy, Computer vision based classification of fruits and vegetables for self-checkout at supermarkets
  • Doctor of Philosophy, Design of mac protocols to support quality of service for multimedia traffic in wireless lans.

Associate Supervisor

  • Doctor of Philosophy, NeuroNose: An empirical study of neuromorphic approaches for the development of an artificial olfactory system
  • Master of Engineering Science, Interfacing of neuromorphic vision, auditory and olfactory sensors with digital neuromorphic circuits
  • Master of Engineering Science, Automated optical mark recognition scoring system for multiple-choice questions
  • Doctor of Philosophy, Primitives and design of the intelligent pixel multimedial communications.
  • Doctor of Philosophy, A high data capacity barcode for mobile phones
  • Doctor of Philosophy, Recognition of electric circuit schematics
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