Ali Al-Naji

APrf Ali Al-Naji

School of Electrical and Mechanical Engineering

College of Engineering and Information Technology

Ali Abdulelah Al-Naji received the bachelor of Engineering in Medical Instrumentation Techniques from the Electrical Engineering Technical College, Middle Technical University, Baghdad, Iraq (2005), master degree in Electrical & Electronic Engineering from the University of Technology, Baghdad, Iraq (2008) and Ph.D. degree in the Electrical & Information Engineering, University of South Australia (UniSA), Australia (2018). Ali is now an associate professor in the Department of Medical Instrumentation Techniques Engineering, and he holds the position of vice-dean for administrative and financial affairs in the Electrical Engineering Technical College. Ali is also with the School of Engineering, University of South Australia (Mawson Lakes, SA 5095, Australia) as an adjunct associate professor since 2022. He is a member of the Institute of Electrical and Electronics Engineers IEEE (2017), Engineers Australia EA (EA ID: 6099558) and the International Association of Engineers IAENG (membership no.: 212257). His research interests include biomedical instrumentation and sensors, health-care applications, computer vision systems, and microcontroller applications.

Biomedical Instrumentation & Sensors

Artificial Intelligence

Deep Learning

Biologically Inspired Vision Systems

Unmanned Aerial Vehicles

Microcontrollers

Year Citation
2025 Khalid, G. A., Al Naji, A., & Chahl, J. (2025). Biomechanics of spiral fractures: investigating periosteal effects using digital image correlation. Journal of Imaging, 11(6, article no. 187), 1-19.
DOI
2025 Al Naji, A., & Chahl, J. (2025). Web-based application for tongue shape and color detection using artificial intelligence techniques: preliminary results. Electrical Engineering Technical Journal, 2(2), 39-50.
DOI
2025 Theab Ahmed, S., Abdulmohsin Hammood, D., Farhood Chisab, R., Al Naji, A., & Chahl, J. S. (2025). Robust Medical Image Encryption and Compression Using a DNA-Chaos Cryptosystem for Enhancing Telemedicine Applications. The Journal of Engineering, 2025(e70124), 1-17.
DOI
2024 Oudah, M., Al Naji, A., AL Janabi, T. Y., Namaa, D. S., & Chahl, J. (2024). Automatic irrigation system based on computer vision and an artificial intelligence technique using Raspberry Pi. Automation, 5(2), 90-105.
DOI Scopus5 WoS5
2024 Abdulrazzak, A. Y., Mohammed, S. L., Al Naji, A., & Chahl, J. (2024). Real-time jaundice detection in neonates based on machine learning models. BioMedInformatics, 4(1), 623-637.
DOI Scopus15
2024 Hamad, Y. K., Hussain, A. N., Lafta, Y. N., Al Naji, A., & Chahl, J. (2024). Multi-objective optimization of renewable distributed generation placement and sizing for technical and economic benefits improvement in distribution system. IEEE Access, 12, 164226-164247.
DOI Scopus13 WoS10
2024 Khanam, F. T. Z., Perera, A. G., Al Naji, A., Mcintyre, T. D., & Chahl, J. (2024). Integrating RGB-thermal image sensors for non-contact automatic respiration rate monitoring. Optical Society of America. Journal A: Optics, Image Science, and Vision, 41(6), 1140-1151.
DOI Scopus3 WoS3 Europe PMC2
2024 Hassoon, A. R., Al Naji, A., Khalid, G. A., & Chahl, J. (2024). Tongue disease prediction based on machine learning algorithms. Technologies, 12(7, article no. 97), 1-19.
DOI Scopus10 WoS8
2024 Al Naji, A., Khalid, G. A., Mahmood, M. F., & Chahl, J. (2024). Computer vision for eye diseases detection using pre-trained deep learning techniques and raspberry Pi. The Journal of Engineering, 2024(7, article no. e12410), 1-10.
DOI
2023 Wang, D., Eckert, J., Teague, S., Al Naji, A., Haun, D., & Chahl, J. (2023). Estimating the cardiac signals of chimpanzees using a digital camera: validation and application of a novel non-invasive method for primate research. Behavior Research Methods, 56(3), 2064-2082.
DOI Scopus7 WoS8 Europe PMC4
2023 Abdulwahed, B. S., Al Naji, A., & Al Rayahi, I. (2023). Urine color analysis based on a computer vision system: a review. AIP Conference Proceedings, 2804(1), 1-12.
DOI Scopus2
2023 Abdullah, A. K., Mohammed, S. L., Al-Naji, A., & Alsabah, M. S. (2023). Tongue Color Analysis and Diseases Detection Based on a Computer Vision System. Journal of Techniques, 5(1), 22-37.
DOI Scopus2
2023 Ayad, W., Qays, S., & Al-Naji, A. (2023). Generating and Improving a Dataset of Masked Faces Using Data Augmentation. Journal of Techniques, 5(2), 46-51.
DOI Scopus3
2023 Amsalam, A. S., Al-Naji, A., Daeef, A. Y., & Chahl, J. (2023). Computer Vision System for Facial Palsy Detection. Journal of Techniques, 5(1), 44-51.
DOI Scopus11
2023 Ali, N. N., Hameed, A., Perera, A. G., & Al-Naji, A. (2023). Custom YOLO Object Detection Model for COVID-19 Diagnosis. Journal of Techniques, 5(3), 92-100.
DOI Scopus5
2023 Ayad, W., Qays, S., Perera, A. G., & Al-Naji, A. (2023). Facial Recognition Databases: Recent Developments and Review of Methods. Journal of Techniques, 5(4), 95-104.
DOI Scopus1
2023 Abdulwahed, B. S., Al-Naji, A., Al-Rayahi, I., Yahya, A., & Perera, A. G. (2023). Automated Computer Vision System for Urine Color Detection. Journal of Techniques, 5(1), 66-73.
DOI Scopus4
2023 Khanam, F. T. Z., Al Naji, A., Perera, A. G., Wang, D., & Chahl, J. (2023). Non-invasive and non-contact automatic jaundice detection of infants based on random forest. Computer Methods in Biomechanics and Biomedical Engineering: Imaging and Visualization, 11(6), 2516-2529.
DOI Scopus7 WoS3
2023 Amsalam, A. S., Al Naji, A., Daeef, A. Y., & Chahl, J. (2023). Automatic facial palsy, age and gender detection using a raspberry Pi. BioMedInformatics, 3(2), 455-466.
DOI Scopus6
2023 Abdulrazzak, A. Y., Latif Mohammed, S., & Al Naji, A. (2023). NJN: a dataset for the normal and jaundiced newborns. BioMedInformatics, 3(3), 543-552.
DOI Scopus7
2023 Jebur, R. S., Zabil, M. H. B. M., Hammood, D. A., Cheng, L. K., & Al Naji, A. (2023). Image denoising using hybrid deep learning approach and self-improved Orca Predation Algorithm. Technologies, 11(4, article no. 111), 1-20.
DOI Scopus14 WoS12
2023 Ahmed, S. T., Hammood, D. A., Chisab, R. F., Al Naji, A., & Chahl, J. (2023). Medical image encryption: a comprehensive review. Computers, 12(8, article no. 160), 1-45.
DOI Scopus48 WoS23
2023 Daeef, A. Y., Al Naji, A., & Chahl, J. (2023). Lightweight and robust malware detection using dictionaries of API calls. Telecom, 4(4), 746-757.
DOI Scopus4 WoS2
2023 Daeef, A. Y., Al Naji, A., Nahar, A. K., & Chahl, J. (2023). Features engineering to differentiate between malware and legitimate software. Applied Sciences, 13(3, article no. 1972), 1-13.
DOI Scopus9 WoS5
2023 Amsalam, A. S., Al Naji, A., Daeef, A. Y., & Chahl, J. (2023). Computer vision system for facial palsy detection. Journal of Techniques, 5(5), 1-8.
2023 Abdulrazzak, A. Y., Mohammed, S. L., Al Naji, A., & Chahl, J. (2023). Computer-aid system for automated jaundice detection. Journal of Techniques, 5(1), 8-15.
DOI Scopus9
2022 Noor, N. S., Hammood, D. A., Al Naji, A., & Chahl, J. (2022). A fast text-to-image encryption-decryption algorithm for secure network communication. Computers, 11(3, article no. 39), 1-16.
DOI Scopus31 WoS12
2022 Mutlag, A. H., Mahdi, S. Q., Gharghan, S. K., Salim, O. N. M., Al Naji, A., & Chahl, J. (2022). Improved control system based on PSO and ANN for social distancing for patients with COVID-19. IEEE Access, 10, 63797-63811.
DOI Scopus4 WoS2
2022 Al Naji, A., Fakhri, A. B., Mahmood, M. F., & Chahl, J. (2022). Contactless blood pressure estimation system using a computer vision system. Inventions, 7(3, article no. 84), 1-13.
DOI Scopus6 WoS3
2022 Daeef, A. Y., Al Naji, A., & Chahl, J. (2022). Features engineering for malware family classification vased API call. Computers, 11(11, article no. 160), 1-15.
DOI Scopus13 WoS8
2022 Noor, N. S., Hammood, D. A., & Al-Naji, A. (2022). Applying TTIED-CMYK Algorithm in Wireless Sensor Networks Based on Raspberry pi and DHT-11. Journal of Techniques, 4(3), 1-7.
DOI Scopus3
2022 Khanam, F. T. Z., Al Naji, A., Perera, A. G., Gibson, K., & Chahl, J. (2022). Non-contact automatic vital signs monitoring of neonates in NICU using video camera imaging. Computer Methods in Biomechanics and Biomedical Engineering: Imaging and Visualization, onlline(2), 1-8.
DOI Scopus10 WoS11
2022 Khanam, F. T. Z., Al Naji, A., Perera, A. G., Gibson, K., & Chahl, J. (2022). Remote vital signs monitoring in neonatal intensive care unit using a digital camera. World Academy of Science, Engineering and Technology, 16(10), 138-144.
2021 Mahmood, M. F., Gharghan, S. K., Mohammed, S. L., Al Naji, A., & Chahl, J. (2021). Design of powering wireless medical sensor based on spiral-spider coils. Designs, 5(4, article no. 59), 1-19.
DOI Scopus16
2021 Alkhafaji, F. M., Khalid, G. A., Al Naji, A., Hussein, B. M., & Chahl, J. (2021). Characterization of infant cardiopulmonary resuscitation delivery with range sensor feedback on performance. Applied Sciences, 11(21, article no. 9813), 1-13.
DOI Scopus6
2021 Hashim, W., Al Naji, A., Al Rayahi, I. A., Alkhaled, M., & Chahl, J. (2021). Neonatal jaundice detection using a computer vision system. Designs, 5(4, article no. 63), 1-17.
DOI Scopus14
2021 Oudah, M., Al Naji, A., & Chahl, J. (2021). Elderly care based on hand gestures using Kinect sensor. Computers, 10(1, article no. 5), 1-25.
DOI Scopus29 WoS20
2021 Al Naji, A., Fakhri, A. B., Gharghan, S. K., & Chahl, J. (2021). Soil color analysis based on a RGB camera and an artificial neural network towards smart irrigation: A pilot study. Heliyon, 7(1), 1-9.
DOI Scopus62 WoS38 Europe PMC4
2021 Khanam, F. T. Z., Chahl, L. A., Chahl, J. S., Al Naji, A., Perera, A. G., Wang, D., . . . Chahl, J. (2021). Noncontact sensing of contagion. Journal of Imaging, 7(2), 1-35.
DOI Scopus13 WoS13 Europe PMC5
2021 Al Naji, A., Khalid, G. A., Mahdi, J. F., & Chahl, J. (2021). Non-contact spO2 prediction system based on a digital camera. Applied Sciences, 11(9, article no. 4255), 1-13.
DOI Scopus48 WoS33
2021 Khanam, F. T. Z., Perera, A. G., Al Naji, A., Gibson, K., & Chahl, J. (2021). Non-contact automatic vital signs monitoring of infants in a neonatal intensive care unit based on neural networks. Journal of Imaging, 7(8), 1-19.
DOI Scopus48 WoS36 Europe PMC21
2020 Perera, A. G., Khanam, F. T. Z., Al Naji, A., & Chahl, J. (2020). Detection and localisation of life signs from the air using image registration and spatio-temporal filtering. Remote Sensing, 12(3), 1-22.
DOI Scopus10 WoS9
2020 Mahmood, M. F., Mohammed, S. L., Gharghan, S. K., Al Naji, A., & Chahl, J. (2020). Hybrid coils-based wireless power transfer for intelligent sensors. Sensors, 20(9, article no. 2549), 1-25.
DOI Scopus18 WoS11
2020 Oudah, M., Al Naji, A., & Chahl, J. (2020). Hand gesture recognition based on computer vision: a review of techniques. Hand Gesture Recognition Based on Computer Vision: A Review of Techniques, 6(8, article no. 73), 1-29.
DOI Scopus514 WoS289 Europe PMC59
2020 Munadhil, Z., Gharghan, S., Mutlag, A. H., Al Naji, A., & Chahl, J. (2020). Neural network-based Alzheimer's patient localization for wireless sensor network in an indoor environment. IEEE Access, 8, 150527-150538.
DOI Scopus49 WoS41
2020 Oudah, M., Al Naji, A., & Chahl, J. (2020). Hand gestures for elderly care using a microsoft kinect. Nano Biomedicine and Engineering, 12(3), 197-204.
DOI Scopus12
2019 Al-Naji, A., Chahl, J., & Lee, S. -H. (2019). Cardiopulmonary signal acquisition from different regions using video imaging analysis (vol 7, pg 119, 2019). COMPUTER METHODS IN BIOMECHANICS AND BIOMEDICAL ENGINEERING-IMAGING AND VISUALIZATION, 7(2), X.
2019 Al Naji, A., Al Askery, A. J., Gharghan, S. K., & Chahl, J. (2019). A system for monitoring breathing activity using an ultrasonic radar detection with low power consumption. Journal of sensor and actuator networks, 8(2), 1-17.
DOI Scopus28 WoS20
2019 Gharghan, S. K., Fakhrulddin, S. S., Al Naji, A., & Chahl, J. (2019). Energy-efficient elderly fall detection system based on power reduction and wireless power transfer. Sensors, 19(20, article no. 4452), 1-18.
DOI Scopus12 WoS8 Europe PMC2
2019 Fakhrulddin, S. S., Gharghan, K. S., Al Naji, A., & Chahl, J. (2019). An advanced first aid system based on an unmanned aerial vehicles and a wireless body area sensor network for elderly persons in outdoor environments. Sensors, 19(13), 28 pages.
DOI Scopus41 WoS26 Europe PMC9
2019 Khanam, F. T. Z., Al Naji, A., & Chahl, J. (2019). Remote monitoring of vital signs in diverse non-clinical and clinical scenarios using computer vision systems: a review. Applied Sciences, 9(20, article no.4474), 1-32.
DOI Scopus86 WoS52
2019 Al Naji, A., Perera, A. G., Mohammed, S. L., & Chahl, J. (2019). Life signs detector using a drone in disaster zones. Remote sensing, 11(20), 1-12.
DOI Scopus77 WoS66
2019 Gibson, K., Al Naji, A., Fleet, J., Steen, M., Esterman, A., Chahl, J., . . . Morris, S. (2019). Non-contact heart and respiratory rate monitoring of preterm infants based on a computer vision system: a method comparison study. Pediatric research, 86(6), 738-741.
DOI Scopus37 WoS32 Europe PMC22
2019 Al-Naji, A., Tao, Y., Smith, I., & Chahl, J. (2019). A Pilot Study for Estimating the Cardiopulmonary Signals of Diverse Exotic Animals Using a Digital Camera.. Sensors (Basel, Switzerland), 19(24), 1-14.
DOI Scopus23 WoS17 Europe PMC12
2019 Gibson, K., Al-Naji, A., Fleet, J. A., Steen, M., Chahl, J., Huynh, J., & Morris, S. (2019). Noncontact heart and respiratory rate monitoring of preterm infants based on a computer vision system: Protocol for a method comparison study. Jmir Research Protocols, 8(8), 8 pages.
DOI Scopus2 WoS2 Europe PMC2
2019 Al Askery, A. J., Al Naji, A., & Alsabah, M. S. (2019). Improving the performance of turbo-coded systems under Suzuki fading channels. Journal of low power electronics and applications, 9(2, article no. 13), 1-9.
DOI Scopus2 WoS1
2018 Gharghan, S. K., Mohammed, S. L., Al Naji, A., Abu AlShaeer, M. J., Jawad, H. M., Jawad, A. M., & Chahl, J. (2018). Accurate fall detection and localization for elderly people based on neural network and energy-efficient wireless sensor network. Energies, 11(11, article no. 2866), 1-32.
DOI Scopus60 WoS41
2018 Perera, A. G., Law, Y. W., Al-Naji, A., & Chahl, J. (2018). Human motion analysis from UAV video. International Journal of Intelligent Unmanned Systems, 6(2), 69-92.
DOI Scopus4 WoS3

Year Citation
2024 Al Naji, A., Ali, N. N., & Hameed, A. (2024). Custom YOLOV4 object detection model for COVID-19 diagnosis and cell counting. In AIP Conference Proceedings Vol. 3051 (pp. 1-11). US: AIP Publishing.
DOI
2024 Amsalam, A. S., Al Naji, A., & Daeef, A. Y. (2024). Facial palsy detection using pre-trained deep learning models: a comparative study. In A. J. Obaid, J. H. Eidi, & M. I. Mohamed (Eds.), AIP Conference Proceedings Vol. 3097 (pp. 1-6). US: AIP Publishing LLC.
DOI Scopus2
2024 Hassoon, A. R., Khalid, G. A., Al Shafeay, A. H., & Al Naj, A. (2024). Artificial intelligence techniques for tongue color detection. In W. A. Hatem, A. A. Obed, M. F. Mosleh, S. K. Gharghan, & A. Al-Naji (Eds.), Proceedings of the Fifth Scientific Conference for Electrical Engineering Techniques Research (EETR 2024) Vol. 3232 (pp. 1-8). US: AIP Publishing.
DOI
2024 Abdulrazzak, A. Y., Mohammed, S. L., Al Naji, A., & Chahl, J. (2024). Neonatal jaundice detection using machine-learning algorithms: a comparative study. In Proceedings of The Fifth Scientific Conference for Electrical Engineering Techniques Research (EETR 2024) Vol. 3232 (pp. 1-7). US: AIP Publishing.
DOI Scopus1
2024 Al Naji, A., Khalid, G. A., Mahmood, M. F., & Chahl, J. (2024). Vision transformer for detecting ocular diseases. In W. A. Hatem, A. A. Obed, M. F. Mosleh, S. K. Gharghan, & A. Al-Naji (Eds.), Proceedings of the Fifth Scientific Conference for Electrical Engineering Techniques Research (EETR 2024) Vol. 3232 (pp. 1-6). US: AIP Publishing.
DOI
2024 Ali, M. H., Mohammed, S. L., & Al Naji, A. (2024). Voice-based gender classification: a comparative study based on machine learning algorithms. In W. A. Hatem (Ed.), AIP Conference Proceedings Vol. 3232 (pp. 040040-1-040040-7). US: AIP Publishing LLC.
DOI Scopus1
2024 Salman, Y. E., Daeef, A. Y., & Al Naji, A. (2024). Automated facial characteristics detection system based on artificial intelligent techniques. In W. A. Hatem (Ed.), AIP Conference Proceedings Vol. 3232 (pp. 040005-1-040005-12). US: AIP Publishing LLC.
DOI
2024 Ali, M. H., Mohammed, S. L., & Al Naji, A. (2024). Parkinson's disease detection from voice using artificial intelligence techniques: a review. In AIP Conference Proceedings Vol. 3232 (pp. 1-7). US: American Institute of Physics.
DOI Scopus2
2023 Abdullah, B. A., Mohammed, S. L., Al Naji, A., & Mahmood, M. F. (2023). Lung cancer detection with computer-aided diagnosis (CAD) for various methods, segmentation, classification and analysis: a review. In AIP Conference Proceedings Vol. 2804 (pp. 1-12). US: AIP Publishing LLC.
DOI Scopus2
2023 Al Naji, A., Mahmood, M. F., Fakhri, A. B., & Chahl, J. (2023). Computer vision for non-contact blood pressure (BP): preliminary results. In A. ALMohaisen (Ed.), The fourth scientific conference for electrical engineering techniques research (EETR2022) Vol. 2804 (pp. 1-8). US: AIP Publishing.
DOI Scopus1
2023 Abdullah, A. K., Mohammed, S. L., & Al Naji, A. (2023). Computer-aided diseases diagnosis system based on tongue color analysis: a review. In A. ALMohaisen (Ed.), The fourth scientific conference for electrical engineering techniques research (EETR2022) Vol. 2804 (pp. 1-11). US: AIP Publishing.
DOI Scopus1
2023 Noor, N. S., Hammood, D. A., & Al-Naji, A. (2023). A review paper: Text-to-image cryptography in color coding. In Aip Conference Proceedings Vol. 2804.
DOI
2022 Abdulwahed, B. S., Al Naji, A., Al Rayahi, I., & Yahya, A. (2022). Urine color analysis using random forest algorithm. In AEST 2022 - 2022 2nd International Conference on Advances in Engineering Science and Technology (pp. 79-83). US: IEEE.
DOI Scopus1
2022 Mahdi, W. A., Mahdi, S. Q., & Al-Naji, A. (2022). Generating Masked Facial Datasets Using Dlib-Machine Learning Library. In Icoase 2022 4th International Conference on Advanced Science and Engineering (pp. 66-70).
DOI
2022 Abdullah, A. K., Mohammed, S. L., & Al Naji, A. (2022). Tongue color analysis and disease diagnosis based on a computer vision system. In 2022 4th International Conference on Advanced Science and Engineering (ICOASE) (pp. 25-30). US: IEEE.
DOI Scopus2
2021 Al Naji, A., Fakhri, A. B., Alnosh, M. A., & Oudah, M. (2021). Smart soil irrigation system based on a digital camera and graphic user interface. In IOP Conference Series: Materials Science and Engineering Vol. 1105 (pp. 1-9). UK: IOP Publishing.
DOI
2021 Oudah, M., Al Naji, A., & Chahl, J. (2021). Computer vision for elderly care based on deep learning CNN and SVM. In IOP Conference Series: Materials Science and Engineering Vol. 1105 (pp. 1-11). UK: IOP Publishing.
DOI
2021 Hashim, W., Alkhaled, M., Al Naji, A., & Al Rayahi, I. (2021). A review on image processing based neonatal jaundice detection techniques. In 7th International Conference on Contemporary Information Technology and Mathematics, ICCITM 2021 (pp. 213-218). US: IEEE.
DOI Scopus5
2019 Mohammed, S. L., Al Naji, A., Farjo, M. M., & Chahl, J. (2019). Highly accurate water level measurement system using a microcontroller and an ultrasonic sensor. In IOP conference series: materials science and engineering Vol. 518 (pp. 1-10). UK: Institute of Physics Publishing.
DOI Scopus30 WoS20

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