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Dr Jumana Abu-Khalaf

Vice-Chancellor's Research Fellow

Staff Member Details
Telephone: +61 8 6304 5543
Email: j.abukhalaf@ecu.edu.au
Campus: Joondalup  
Room: JO18.318  
ORCID iD: https://orcid.org/0000-0002-6651-2880

Jumana is a Vice Chancellor’s Research Fellow in Computing and Security at the School of Science.

Background

Jumana received her Ph.D. in Mechanical Engineering from the University of Utah, USA, in the area of Robotics and Control. Her research was on the optimization of wearable stretchable sensors for fingertip force direction estimation. The purpose was to further investigate human grasping and manipulation. Prior to joining ECU, Jumana was an Associate Professor in Mechatronics Engineering at the German Jordanian University, Jordan. She was the co-director of the Robotics Laboratory and a research faculty member at the Nano Laboratory. In these roles she conducted research in the area of bio-robotics with projects in bio-instrumentation and bio-inspiration. Building on her background and expertise, she is currently researching artificial intelligence and machine learning techniques for agriculture and health care applications.

Professional Memberships

  • 2009: Institute of Electrical and Electronics Engineers, IEEE (Member)
  • 2010: IEEE Women in Engineering, WIE (Member)

Awards and Recognition

National and International Awards

  • 2019: Emerald Literati Award for outstanding papers published in Sensor Review.

National and International Research Positions

  • 2007-2009: University of Utah NSF Biocentric Robotics IGERT Fellowship.

Research Areas and Interests

  • Bioinstrumentation
  • Wearable sensors
  • Robotics
  • Mechatronics
  • Digital Agriculture

Qualifications

  • Sexual Harassment & Sexual Assault, Other VIC higher ed institution, 2021.
  • Doctor of Philosophy, United States of America, 2012.

Research Outputs

2024

Journal Articles

  • Noman, M., Islam, S., Jalali, SM., Abu-Khalaf, J., Lavery, P. (2024). BAOS-CNN: A novel deep neuroevolution algorithm for multispecies seagrass detection. PLoS One, 19(6), article number e0281568. https://doi.org/10.1371/journal.pone.0281568.

Conference Publications

  • Abela, B., Masek, M., Abu-Khalaf, J., Suter, D., Gupta, A. (2024). An Exploration of Diabetic Foot Osteomyelitis X-ray Data for Deep Learning Applications. Artificial Intelligence in Medicine (30-39). Springer. https://doi.org/https://doi.org/10.1007/978-3-031-66535-6_4.
  • Gopinathan, K., Masek, M., Abu-Khalaf, J., Suter, D. (2024). Spatially-Aware Speaker for Vision Language Navigation Instruction Generation. Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) (13601–13614). Association for Computational Linguistics. https://doi.org/10.18653/v1/2024.acl-long.734.

2023

Journal Articles

  • Noman, M., Islam, S., Abu-Khalaf, J., Jalali, SM., Lavery, P. (2023). Improving accuracy and efficiency in seagrass detection using state-of-the-art AI techniques. Ecological Informatics, 76(September 2023), Article number 102047. https://doi.org/https://doi.org/10.1016/j.ecoinf.2023.102047.
  • Hossain, MS., Armstrong, L., Abu-Khalaf, J., Cook, D. (2023). The segmentation of nuclei from histopathology images with synthetic data. Signal, Image and Video Processing, 17(7), 3246 - 3254. https://doi.org/https://doi.org/10.1007/s11760-023-02597-w.
  • Al-Fawa'reh, M., Abu-Khalaf, J., Szewczyk, P., Kang, J. (2023). MalBoT-DRL: Malware Botnet Detection Using Deep Reinforcement Learning in IoT Networks. IEEE Internet of Things Journal, 2023(Article in press), 20 pages. https://doi.org/10.1109/JIOT.2023.3324053.

Conference Publications

  • Olusola, J., Abu-Khalaf, J., Paheding, S., Rawashdeh, N. (2023). LiDAR and RGB camera based feature extraction and evaluation for adverse weather driving. Proc. of SPIE Autonomous Systems: Sensors, Processing, and Security for Ground, Air, Sea, and Space Vehicles and Infrastructure (Article number 125400I). SPIE. https://doi.org/10.1117/12.2664734.
  • Khan, M., Abu-Khalaf, J., Suter, D., Rosenhahn, B. (2023). M3T: Multi-class multi-instance multi-view object tracking for embodied AI tasks. M3T: Multi-class multi-instance multi-view object tracking for embodied AI tasks (246-261). Springer, Cham. https://doi.org/10.1007/978-3-031-25825-1_18.

2022

Conference Publications

  • Abela, B., Abu-Khalaf, J., Yang, CR., Masek, M., Gupta, A. (2022). Automated Radiology Report Generation Using a Transformer-Template System: Improved Clinical Accuracy and an Assessment of Clinical Safety. AI 2022: Advances in Artificial Intelligence (530-542). Springer. https://doi.org/10.1007/978-3-031-22695-3_37.

2021

Conference Publications

  • Noman, M., Islam, S., Abu-Khalaf, J., Lavery, P. (2021). Seagrass Detection from Underwater Digital Images using Faster R-CNN with NASNet. 2021 Digital Image Computing: Techniques and Applications (DICTA) (1-6). IEEE. https://doi.org/10.1109/DICTA52665.2021.9647325.
  • Gopinathan, M., Truong, H., Abu-Khalaf, J. (2021). Indoor Semantic Scene Understanding Using 2D-3D Fusion. 2021 Digital Image Computing: Techniques and Applications (DICTA) (1-8). IEEE. https://doi.org/10.1109/DICTA52665.2021.9647182.
  • Hossain, M., Armstrong, L., Abu-Khalaf, J., Cook, D., Zaenker, P. (2021). Overlapping Cell Nuclei Segmentation in Digital Histology Images using Intensity-based Contours. 2021 Digital Image Computing: Techniques and Applications (DICTA) (1-9). IEEE Xplore. https://doi.org/10.1109/DICTA52665.2021.9647395.
  • Noman, M., Islam, S., Abu-Khalaf, J., Lavery, P. (2021). Multi-species Seagrass Detection Using Semi-supervised Learning. Proceedings of the 2021 36th International Conference on Image and Vision Computing New Zealand (IVCNZ) (1-6). IEEE. https://doi.org/10.1109/IVCNZ54163.2021.9653222.

2020

Journal Articles

  • Abu-Khalaf, J., Al-Ghussain, L., Nadi, A., Al-Halhouli, A. (2020). Conductivity and Stretchability of Inkjet-Printed Silver Nanoparticle Patterns: Effect of the Number of Printed Layers. International Journal of Mechanical Engineering and Robotics Research, 9(4), 528-534. https://doi.org/10.18178/ijmerr.9.4.528-534.

2019

Journal Articles

  • Abu-Khalaf, J., Al-Ghussain, L., Nadi, A., Saraireh, R., Rabayah , A., Altarazi, S., Al-Halhouli, A. (2019). Optimization of geometry parameters of inkjet-printed silver nanoparticle traces on PDMS substrates using response surface methodology. Materials, 12(20), Article number 3329. https://doi.org/10.3390/ma12203329.

Conference Publications

  • Aljallad, G., Qafisheh, Y., Abu-Khalaf, J. (2019). Modeling and Master-Slave Control of an Upper-Limb Exoskeleton Suit Driven by Pneumatic Muscles. Proceedings of 20th International Conference on Research and Education in Mechatronics (REM 2019) (8744106). IEEE. https://doi.org/10.1109/REM.2019.8744106.

2018

Journal Articles

  • Rawashdeh, NA., Abu-Khalaf, J., Khraisat, W., Al-Hourani, SS. (2018). A visual inspection system of glass ampoule packaging defects: effect of lighting configurations. International Journal of Computer Integrated Manufacturing, 31(9), 848-856. https://doi.org/10.1080/0951192X.2018.1447145.
  • Abu-Khalaf, J., Al-Ghussain, L., Al-Halhouli, A. (2018). Fabrication of stretchable circuits on polydimethylsiloxane (PDMS) pre-stretched substrates by inkjet printing silver nanoparticles. Materials, 11(12), Article number 2377. https://doi.org/10.3390/ma11122377.
  • Al-Halhouli, A., Qitouqa, H., Alashqar, A., Abu-Khalaf, J. (2018). Inkjet printing for the fabrication of flexible/stretchable wearable electronic devices and sensors. Sensor Review, 38(4), 438-452. https://doi.org/10.1108/SR-07-2017-0126.
  • Abu-Khalaf, J., Saraireh, R., Eisa, S., Al-Halhouli , A. (2018). Experimental characterization of inkjet-printed stretchable circuits for wearable sensor applications. Sensors, 18(10), Article number 3476. https://doi.org/10.3390/s18103476.

Conference Publications

  • Abu-Khalaf, J., Mascaro, SA. (2018). Optimization of stretchable fingernail sensor fabrication based on finite element modeling. Proceedings of 2018 IEEE Sensors Applications Symposium (SAS) (1-6). IEEE. https://doi.org/10.1109/SAS.2018.8336754.
  • Baslan, N., Heerklotz, S., Weber , S., Heerklotz, A., Höfig , B., Abu-Khalaf, J. (2018). Navigation and vision system of a mobile robot. Proceedings of 19th International Conference on Research and Education in Mechatronics (REM) (99-104). IEEE. https://doi.org/10.1109/REM.2018.8421777.
  • Abu-Khalaf, J., El Bouri, S., Giha, N., Al-Chalabi, L., Al-Halhouli, A. (2018). Neural network based activity tracker. Proceedings of the 2018 19th International Conference on Research and Education in Mechatronics, REM 2018 (12-17). IEEE. https://doi.org/10.1109/REM.2018.8421775.

2017

Conference Publications

  • Ghobj, S., Akl, A., El-Farr, A., Ayyash, M., Abu-Khalaf, J. (2017). Mechanical design for a cable driven upper limb exoskeleton prototype actuated by pneumatic rubber muscles. Proceedings of 2017 International Conference on Research and Education in Mechatronics (REM) (Article number 8075232). IEEE. https://doi.org/10.1109/REM.2017.8075232.

2016

Conference Publications

  • Olwan, O., Matan, A., Abdullah, M., Abu-Khalaf, J. (2016). The design and analysis of a six-degree of freedom robotic arm for explosive ordnance disposal applications. Proceedings of 2015 10th International Symposium on Mechatronics and its Applications (ISMA) (Article number 7373465). IEEE. https://doi.org/10.1109/ISMA.2015.7373465.

Research Projects

  • Determination of bone mineral density from a hand radiograph: Facilitating early identification of osteoporosis, Department of Health WA, WA Near-miss Awards: Ideas , 2024 ‑ 2025, $100,000.
  • Generative Artificial Intelligence for Feature-Specific Augmentation of Radiological Image Datasets, Department of Health WA, Future Health Research and Innovation Fund - Generative AI Applications, 2024, $49,964.
  • Improving bone mineral density estimation from DXA scans of the forearm using AI techniques -facilitating early screening for osteoporosis. , Spinnaker Health Research Foundation, Seed Grant, 2023 ‑ 2024, $28,245.
  • 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.
  • Predicting falls in the elderly: A novel machine learning approach., Edith Cowan University, Australia-Germany JRC Scheme (UA-DAAD), 2021 ‑ 2024, $24,250.
  • Better and faster than the human eye: artificial intelligence and computational radiomics for foot x-rays in patients with diabetes-related foot infections, Department of Health WA, Research Translation Projects, 2022 ‑ 2024, $93,265.
  • Development of a Risk Based Framework for Governance of Autonomous Weapons Systems, Department of Jobs, Tourism, Science and Innovation, Defence Science Research Higher Degree Student Grant, 2023 ‑ 2024, $15,000.
  • Developing a Framework for Speech Recognition and understanding in digital learning contexts, Science and Industry Endowment Fund, SIEF - Ross Metcalf Stem Business Fellowship, 2020 ‑ 2023, $322,771.

Research Student Supervision

Current Supervisions

Principal Supervisor

  • Doctor of Philosophy, Self-Updating Intrusion Detection System using Reinforcement Learning
  • Master of Computing and Security by Research, Detecting diabetic foot osteomyelitis in plain radiographic images using deep learning
  • Doctor of Philosophy, Embodied AI for challenging rearrangement tasks in the context of service and assistive robots
  • Doctor of Philosophy, Towards embodied navigation through vision and language

Associate Supervisor

  • Doctor of Philosophy, Development of a risk based framework for governance of autonomous weapons systems
  • Doctor of Philosophy, Deep learning techniques for classification and evaluaton of artificial empathy

Completed Supervisions

Associate Supervisor

  • Optimization of Inkjet Printing Techniques for the Design and Development of Wearable Biosensors
  • Doctor of Philosophy, Deep Learning-based Seagrass Detection and Classification from Underwater Digital Images
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