Adjunct Staff

Associate Professor Adel Al-Jumaily

PhD, MSc, BSc

Adjunct Associate Professor
off campus

Profile

Adel is a researcher and academic leader with more than 20 years' experience.  He has designed, taught and coordinated more than 20 subjects, and designed two degrees.

His research area covers Computational Intelligence, Humanized Computational Intelligence based technology, Bio-signal / Image pattern recognition and Machine Learning.  He has published more than 230 peer reviewed papers with high quality journals and international conferences.  He has 6 best paper awards and 11 pattens, 10 sponsored by industry.  His Google Scholar citation and his ORCiD are available.

Adel has supervised more than 40 PhD and masters students and received a Higher Degree Research Supervision Completion Award.

Research

Adel is a research leader in Computational Intelligence, Humanized Computational Intelligence based technology, Health Technology, Bio- Mechatronics Systems, Bio-signal / Image pattern recognition, Machine Learning, and Vision based cancer diagnosing.

Part of his research is about the fusion and integration of the data that built based on the concept that the mammalian brain integrated different sensory modalities by multisensory integration to one modality representation for deep neural network. The tensor representation in a multi-dimensions’ matrix will correctly acquire the correlation between the singles and the behaviour.

Adel developed Computational Intelligence based on Electromyogram (EMG) control of prosthetic devices for rehabilitation and contributed to biosignals (EMG and EEG) techniques, and a new approach for Deep learning with small data. He has successfully developed many nature-based algorithms to solve the bio-signal / Image pattern recognition computational intelligence problems.

He is working in cross-disciplinary applied research area and established his international track record. He has built many systems and wearable deceives that controlled based on the development of a novel techniques in extreme learning machine and realistic Computational Intelligence.

Professional Memberships

Adel is a senior member of the International Institute of Electrical and Electronic Engineers (IEEE); a member of 9 other professional societies, Co-Vice Chair of IEEE Computational Intelligence chapter in NSW section (one of the founders), and Vice-Chair IEEE New South Wales section, Robotics and Automation Society Chapter.

He is Associate Editor of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society (2017 - present).

Adel has Editorial Board Memberships for 20 Journals (at different times) that include Associate Editors-in-Chief of two Journals and has more than 18 research partners from medical and industry, in addition to academia.

Recent Publications

  1. Seyedeh Marzieh Hosseini, Hamed Kalhori, Adel Al-Jumaily, Active vibration control in human forearm model using paired piezoelectric sensor and actuator, Journal of Vibration and Control, https://doi.org/10.1177/1077546320957533
  2. Khairul Anam, Adel Al-Jumaily, “Performance Evaluation of SRELM on Bio-signal Pattern Recognition Using Two Electromyography Channels International”, Journal on Advanced Science, Engineering and Information Technology, volume 10, number 5, 2020, pp 1828--1834, DOI: 10.18517/ijaseit.10.5.7131.
  3. M. Wedyan, O. Dorgham, and A. Al-Jumaily, The Use of Augmented Reality in the Diagnosis and Treatment of Autistic Children: a Review and a New System”, Multimedia Tools and Applications Journal, 79,pp 18245–18291 (2020). https://doi.org/10.1007/s11042-020-08647-6
  4. Vinh Phuc Tran, and Adel Ali Al-Jumaily, "A Novel Oxygen-Hemoglobin Model for Non-Contact Sleep Monitoring of Oxygen Saturation", IEEE Sensors Journal, Volume: 19, Issue, pp 2412325-12332, 2019.
  5. Sahar ِAdil Abboud, Saba Al-Wais, Salma Hameedi Abdullah, Fady Alnajjar, Adel Al-Jumaily, “Label Self-Advised Support Vector Machine (LSA-SVM): Automated Classification of Foot Drop Rehabilitation Case Study”, Biosensors, Sept. 2019, Biosensors 2019, 9, 114; DOI:10.3390/bios9040114.
  6. Ganesan Balasankar, Tejashwini Gowda, Adel Al-Jumaily, Kenneth Fong, Surendra Kumar Meena, & Raymond Tong (2019), ”Ambient assisted living technologies for older adults with cognitive and physical impairments: a review”,  European Review for Medical and Pharmacological Sciences, 2019; 23 (23): 10470-10481, DOI: 10.26355/eurrev_201912_19686.
  7. Mohammad Omar Wedyan, Alessandro Crippa, Adel Al-Jumaily, “A novel virtual sample generation method to overcome the small sample size problem in computer aided medical diagnosing”, Algorithms, August 2019, DOI:10.3390/a12080160.
  8. Balasankar Ganesan, Joanne Yip, Adel Al-Jumaily, Shirley SM Fong,  Ana M Ey Batlle, Kenneth N.K. Fong, Ameersing Luximon, " A novel 3D evaluation method for assessing bone to bone relationships in clubfoot “, European Review for Medical and Pharmacological Sciences Journal, 2019. 2019; 23: 1882-1890.
  9. Seyedehmarzieh Hosseini, Adel Al-Jumaily “Analytical solution for forced vibration of piezoelectrically actuated Timoshenko beam", Journal of Intelligent Material Systems and Structures, 2019. DOI  https://doi.org/10.1177/1045389X19832118.
  10. Zehong Cao, Yu-Kai Wang, Weiping Ding, Farookh Hussain, Adel Al-Jumaily, Chin-Teng Lin, “Effects of Repetitive SSVEPs on EEG Complexity using Multiscale Inherent Fuzzy Entropy”, Neurocomputing journal, https://doi.org/10.1016/j.neucom.2018.08.091, 2019.
  11. Pornchai Phukpattaranont, Sirinee Thongpanja, Khairul Anam, Adel Al-Jumaily, and Chusak Limsakul,"Evaluation of feature extraction techniques and classifiers for finger movement recognition using surface electromyography signal", Medical and Biological Engineering and Computing,  56, 2259–2271 (2018) doi:10.1007/s11517-018-1857-5
  12. Balasankar Ganesan, Ameersing Luximon, Adel Al-Jumaily, Joanne Yip, Paul J. Gibbons, Alison Chivers ”Developing a three-dimensional (3D) assessment method for clubfoot- A study protocol”, Frontiers in physiology journal, Volume 8, 2018, article 1098, DOI=10.3389/fphys.2017.01098.
  13. Khairul Anam, Adel Al-Jumaily, “Optimized Kernel Extreme Learning Machine for Myoelectric Pattern Recognition”, International Journal of Electrical and Computer Engineering (IJECE), Vol 8, No 1, 2018.
  14. Balasankar Ganesan, Ameersing Luximon, Adel Al-Jumaily, Suchita Kothe Balasankar, and Ganesh R. Naik, “ Ponseti method in the management of clubfoot under 2 years of age: A systematic review”, PLoS One. 2017; 12(6), e0178299. DOI:10.1371/journal.pone.0178299.
  15. R. N. Khushaba, A. Al-Timemy, A. Al-Ani, and A. Al-Jumaily, "A Framework of Temporal-Spatial Descriptors based Feature Extraction for Improved Myoelectric Pattern Recognition", IEEE Transactions on Neural Systems and Rehabilitation Engineering, Volume: 25, Issue:10, pp 1821-1831, 2017.
  16. Khairul Anam, Adel Al Jumaily, “Evaluation of Extreme Learning Machine for Classification of Individual and Combined Finger Movements using Electromyography on Amputees and Non-amputees”, Neural Networks Journal, Volume 85, January 2017, Pages 51–68.

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