Citation Engines

Recent Achievements

  • Stanford University World's Top 2% Scientists: September 2024 data update

  • Sydney Trains Rail Operation Excellence Awards (2 of these): July 2024

  • Stanford University World's Top 2% Scientists: October 2023 data update

  • Stanford University World's Top 2% Scientists: September 2022 data update

  • Stanford University World's Top 2% Scientists: August 2021 data update

  • The 34th Australasian Joint Conference on Artificial Intelligence - 2021 - Best Video Presentation Award - Oliver Fleming, Adrian Ball, Rami N. Khushaba, "Predicting Geological Material Types Using Ground Penetrating Radar"

  • The 34th Australasian Joint Conference on Artificial Intelligence - 2021 - Best Poster Presentation Award Runner-Up - Liyang Liu, Mehala Balamurali, Katherine L. Silversides, Rami N. Khushaba, "Inference of Geological Material Groups Using Structural Monitoring Sensors on Excavators

Bright living room with modern inventory
Bright living room with modern inventory

Published Journal Papers

  1. A. Tigrini, R. Mobarak, A. Mengarelli, R. N. Khushaba, A. H. Al-Timemy, F. Verdini, E. Gambi, S. Fioretti, L. Burattini, "Phasor-Based Myoelectric Synergy Features: A Fast Hand-Crafted Feature Extraction Scheme for Boosting Performance in Gait Phase Recognition". Sensors, 24, 5828, 2024. https://doi.org/10.3390/s24175828

  2. F. Kulwa, H. Zhang, O. W. Samuel, M. G. Asogbon, E. Scheme, R. Khushaba, A. A. McEwan. and G. Li, "A Multidataset Characterization of Window-Based Hyperparameters for Deep CNN-Driven sEMG Pattern Recognition," in IEEE Transactions on Human-Machine Systems, doi: http://dx.doi.org/10.1109/THMS.2023.3329536.

  3. S. N. Aghili, S. Kilani, R. N. Khushaba, E. Rouhani, “A spatial-temporal linear feature learning algorithm for P300-based brain-computer interfaces”, Heliyon, vol. 9, no. 4, E15380, 2023. https://doi.org/10.1016/j.heliyon.2023.e15380.

  4. O. W. Samuel, M. G. Asogbon, R. Khushaba, F. Kulwa and G. Li, "Multiresolution Dual-Polynomial Decomposition Approach for Optimized Characterization of Motor Intent in Myoelectric Control Systems," in IEEE Transactions on Biomedical Engineering, 2022, doi: 10.1109/TBME.2022.3221799.

  5. A. H. Al-Timemy, Y. Serrestou, R. Khushaba, S. Yacoub, and K. Raoof, "Hand Gesture Recognition with Acoustic Myography and Wavelet Scattering Transform", IEEE Access, Accepted to appear 2022.

  6. A. Al Taee, S. Hosseini, R. Khushaba, T. Zia, C-T Lin, and A. Al-Jumaily, "Deep Learning Inspired Feature Engineering for Classifying Tremor Severity", in IEEE Access, 2022, doi: 10.1109/ACCESS.2022.3210344.

  7. R. N. Khushaba, A. H. Al-Timemy, O. W. Samuel and E. J. Scheme, "Myoelectric Control With Fixed Convolution-Based Time-Domain Feature Extraction: Exploring the Spatio–Temporal Interaction," in IEEE Transactions on Human-Machine Systems, doi: 10.1109/THMS.2022.3146053.

  8. R. N. Khushaba and A. J. Hill, "Radar-Based Materials Classification Using Deep Wavelet Scattering Transform: A Comparison of Centimeter vs. Millimeter Wave Units," in IEEE Robotics and Automation Letters, vol. 7, no. 2, pp. 2016-2022, April 2022, doi: 10.1109/LRA.2022.3143200.

  9. M.Jabbari, R. N. Khushaba, and K. Nazarpour, “Spatio-temporal Warping for Myoelectric Control: an offline, feasibility study”, Journal of Neural Engineering, Accepted Nov 2021. OPEN ACCESS.

  10. C. Selvira, R. N. Khushaba, E. Burnton, and K. Nazarpour, “Spatio-temporal feature extraction in sensory electroneurographic signals”, Philosophical Transactions of the Royal Society A, vol. 380, issue 2228, pp. 20210268, The Royal Society, Publication date 25/7/2022.

  11. R. N. Khushaba and K. Nazarpour, "Decoding HD-EMG Signals for Myoelectric Control - How Small Can the Analysis Window Size be?," in IEEE Robotics and Automation Letters, vol. 6, no. 4, pp. 8569-8574, Oct. 2021, doi: 10.1109/LRA.2021.3111850.

  12. R. N. Khushaba, A. Melkumyan, and A. J. Hill, "A Machine Learning Approach for Material Type Logging and Chemical Assaying from Autonomous Measure-While-Drilling (MWD) Data", Mathematical Geosciences, 2021. doi.org/10.1007/s11004-021-09970-w.

  13. R. N. Khushaba, E. Scheme, A. H. Al-Timemy, A. Phinyomark, A. Al- Taee, A. Al-Jumaily, "A long short-term recurrent spatial-temporal fusion for myoelectric pattern recognition", Expert Systems with Applications, vol. 178, no. 15, 2021, doi.org/10.1016/j.eswa.2021.114977.

  14. R. N. Khushaba, A. Phinyomark, A. H. Al-Timemy and E. Scheme, "Recursive Multi-Signal Temporal Fusions With Attention Mechanism Improves EMG Feature Extraction," in IEEE Transactions on Artificial Intelligence, vol. 1, no. 2, pp. 139-150, Oct. 2020, doi: 10.1109/TAI.2020.3046160.

  15. A. Buniya, A. Al-Timemy, A. Aldoori, and R. N. Khushaba, "Analysis of Different Hand and Finger Grip Patterns using Surface Electromyography and Hand Dynamometry", Al-Khwarizmi Engineering Journal, vol. 16, no. 2, June 2020. doi:10.22153/kej.2020.05.001

  16. Angkoon Phinyomark, R. N. Khushaba, and Erik Scheme, "Feature Extraction and Selection for Myoelectric Control Based on Wearable EMG Sensors", Sensors, vol. 18, no. 15, pp. 1-17, 2018. DOI.: 10.3390/s18051615.

  17. A. Phinyomark, R. N. Khushaba, A. Patania, E. Ibáñez-Marcelo, E. Scheme, and G. Petri, "Navigating Features: A Topologically-Informed Chart of EMG Features Space", Journal of the Royal Society Interface (RSIF), vol. 14, no. 137, pp. 1-12, 2017. DOI: 10.1098/rsif.2017.0734, IF(2016): 3.579.

  18. 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, vol. 25, no. 10, pp. 1821 - 1831, Oct. 2017, DOI: 10.1109/TNSRE.2017.2687520.

  19. K. McDonald, R. O'Hanlon, H. O. Savage, R. N. Khushaba*, M. Colefax, S. Farrugia, F. Javed, K. Schindhelm, I. Wilcox, M. R Cowie, "Sleep disordered breathing in chronic heart failure is highly variable when measured remotely using a novel non-contact biomotion Sensor", European Journal of Heart Failure, vol 19, no. 5, pp. 688–690, 2017. DOI: 10.1002/ejhf.810

  20. R. N. Khushaba, A. Al-Timemy, S. Kodagoda, and K. Nazarpour, "Combined Influence of Forearm Orientation and Muscular Contraction on EMG Pattern Recognition", Expert Systems with Applications, vol 61, no.1, pp.154-161, 2016, ​open access, DOI: http://dx.doi.org/10.1016/j.eswa.2016.05.031.

  21. T. Lees, R. N. Khushaba, S. Lal, "Electroencephalogram associations to cognitive performance in clinically active nurses", Physiological Measurement, vol 37, no. 7, 2016. DOI http://dx.doi.org/10.1088/0967-3334/37/7/968​

  22. H. O. Savage, R. N. Khushaba, A. Zaffaroni, M. Colefax, S. Farrugia, K. Schindhelm, H. Teschler, G. Weinreich, H Grueger, M. Neddermann, C. Heneghan, A. Simonds and M. R. Cowie, "Development and validation of a novel non-contact monitor of nocturnal respiration for identifying sleep-disordered breathing in patients with heart failure", ESC Heart Failure, vol 3, no. 3, pp. 212–219, 2016.

  23. R. N. Khushaba, L. Greenacre, A. Al-Timemy, and A. Al-Jumaily, "Event-Related Potentials of Consumer Preferences", Procedia Computer Science - Journal publication of proceedings of IEEE International Symposium on Robotics and Intelligent Sensors (IRIS 2015), Langkawi, Malaysia, vol. 76, pp. 68–73, 2015. DOI: http://dx.doi.org/10.1016/j.procs.2015.12.277A.

  24. A. Al-Timemy, R. N. Khushaba, G. Bugmann, and J. Escudero, "Improving the Performance Against Force Variation of EMG Controlled Multifunctional Upper-Limb Prostheses for Transradial Amputees", IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 24, no. 6, pp. 650 - 661, 2016, DOI: 10.1109/TNSRE.2015.2445634

  25. H.O. Savage, R. Khushaba, P. Bateman, S. Farrugia, K. Schindhelm, A. Simonds, M.R. Cowie, "The mean apnoea hypopnea index as a diagnostic criterion for sleep disordered breathing in patients with heart failure", European Heart Journal, vol 35 ( Abstract Supplement ), pp. 506, 2014. Impact factor: 14.723

  26. R. N. Khushaba, Maen Takruri, Jaime Valls Miro, and Sarath Kodagoda, "Towards limb position invariant myoelectric pattern recognition using time-dependent spectral features", Neural Networks, vol. 55, pp. 42-58, 2014. ERA Ranked A, Impact factor 1.927. (Included in ACM's 19th annual best of computing Notable books and articles.)

  27. R. N. Khushaba, "Correlation Analysis of Electromyogram (EMG) Signals for Multi-User Myoelectric Interfaces", IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol 22, no. 4 , pp. 745-755, 2014. ERA Ranked A*, Impact factor 3.255

  28. H. O. Savage, R. Khushaba, P. Bateman, S. Farrugia, K. Schindhelm, A. K. Simonds, and M. R. Cowie, "A novel non-contact device that identifies and categorises sleep disordered breathing in patients with chronic heart failure", Heart, vol. 99, no. 12, A15-A16 doi:10.1136/heartjnl-2013-304019.18, BCS Abstracts, 2013. ERA Ranked B, Impact Factor 6.023

  29. H. O. Savage, R. Khushaba, P. Bateman, S. Farrugia, K. Schindhelm, A. K. Simonds, and M. R. Cowie, "Cheyne stokes respiration in patients with heart failure detected by a novel non-contact monitor of nocturnal respiration", From the European Heart Failure Congress 2013 published in European Journal of Heart Failure, vol. 12, S1-S2, doi:10.1093/eurjhf/hst002, 2013. **** THIS CONTRIBUTION WAS AWARDED THE TOP YOUNG INVESTIGATOR AWARD CLINICAL PRIZE **** ERA Ranked A, Impact Factor 6.577

  30. R. N Khushaba, C. Wise, S. Kodagoda, J. Louviere, B. E. Kahn, and C. Townsend, "Consumer Neuroscience: Assessing the Brain Response to Marketing Stimuli Using Electroencephalogram (EEG) and Eye Tracking", Expert Systems with Applications, vol.40, no. 9, pp. 3803–3812, 2013. Click Here (ERA Ranking: B)

  31. R. N. Khushaba, S. Kodagoda, S. Lal, and G. Dissanayake, “Uncorrelated Fuzzy Neighborhood Preserving Analysis Based Feature Projection for Driver Drowsiness Recognition”, Fuzzy Sets and Systems, vol. 221, pp. 90-111, 2013.

  32. R. N. Khushaba, S. Kodagoda, D. Liu, and G. Dissanayake, "Muscle Computer Interfaces for Driver Distraction Reduction", Computer Methods and Programs in Biomedicine, vol. 110, no. 2, pp. 137-149, 2013. Click Here (ERA Ranking: A*)

  33. A. Al-Ani, A. AlSukker, and R. N. Khushaba, “Feature subset selection using differential evolution and a wheel based search strategy”, Swarm and Evolutionary Computation, vol. 9, pp. 15-26, 2013.

  34. R. N. Khushaba, L. Greenacre , S. Kodagoda, S. Burke, J. Louverie, and G. Dissanayake " Choice Modeling and the Brain: A Study on the Electroencephalogram (EEG) of Preferences", Expert Systems with Applications, vol. 39, no. 16, pp. 12378–12388 , 2012. (ERA Ranking: B)

  35. R. N. Khushaba, M. Takruri, S. Kodagoda, and G. Dissanayake, "Toward Improved Control of Prosthetic Fingers Using Surface Electromyogram (EMG) Signals", Expert Systems with Applications, vol 39, no. 12, pp. 10731–10738, 2012. (ERA Ranking: B).

  36. R. N. Khushaba, A. Al-Ani, and A. Al-Jumaily, "Swarmed Discriminant Analysis for Multifunction Prosthesis Control", International Journal of Computational and Mathematical Sciences, vol. 75, pp. 1089-1096, 2011.

  37. R. N. Khushaba, A. Al-Ani, and A. Al-Jumaily, Feature subset selection using differential evolution and a statistical repair mechanism, Expert Systems with Applications, vol. 38, no. 9, pp. 11515-11526, 2011. (ERA Ranking: B)

  38. R. N. Khushaba, S. Kodagoda, S. Lal, and G. Dissanayake, “Driver Drowsiness Classification Using Fuzzy Wavelet Packet Based Feature Extraction Algorithm”, IEEE Transaction on Biomedical Engineering, vol. 58, no. 1, pp. 121-131, 2011. (ERA Ranking: A*)

  39. R. N. Khushaba, A. Al-Ani, and A. Al-Jumaily, Orthogonal Fuzzy Neighborhood Discriminant Analysis for Multifunction Myoelectric Hand Control, IEEE Transaction on Biomedical Engineering, vol. 57, no. 6, pp. 1410-1419, 2010. (ERA Ranking: A*).

  40. R. N. Khushaba, A. Al-Ani, and A. Al-Jumaily, Dimensionality Reduction with Neuro-Fuzzy Discriminant Analysis, International Journal of Information and Mathematical Sciences, vol. 5, no. 1, pp. 225-232, 2009.

  41. R. N. Khushaba, A. Al-Ani, and A. Al-Jumaily, “Evolutionary Fuzzy Discriminant Analysis Feature Projection Technique in Myoelectric Control”, Pattern Recognition Letters, vol 30, No 7, pp. 699-707, 2009. (ERA Ranking: B).

  42. R. N. Khushaba, A. AlSukker, A. Al-Ani, A. Al-Jumaily, and A. Y. Zomaya, “A Novel Swarm based Feature Selection Algorithm in Multifunction Myoelectric Control”, Journal of Intelligent and Fuzzy Systems, vol 20, No. 4-5, pp. 175-185, 2009. (ERA Ranking: C).

  43. R. N. Khushaba, and A. Al-Jumaily, “Fuzzy Wavelet Packet based Feature Extraction Method for Multifunction Myoelectric Control”, International Journal of Biological and Medical Sciences, Vol. 2, No. 3 , pp. 186-194, 2007.

  44. R. N. Khushaba, H. A. Akar, J. Al-Samarai, "An Introduction to IP Addresses", Iraqi Journal for Communication of Computers & Control Engineering, 2002.

  45. R. N. Khushaba, H. A. Akar, J. Al-Samarai, "CMOS Design of the Optimum Minimum Error Classifier", Iraqi Journal for Communication of Computers & Control Engineering, 2001.

  46. R. N. Khushaba, H. A. Akar, J. Al-Samarai, "Image Classification Using Fixed Weight Neural Networks", Iraqi Journal for Communication of Computers & Control Engineering, 2001.

  47. R. N. Khushaba, H. A. Akar, J. Al-Samarai, "MOS Implementation of the Linear Machine Classifier Based on ANN", Iraqi Journal for Communication of Computers & Control Engineering, 2001.

Conference Papers:

  1. R. N. Khushaba, O. W. Samuel, A. H. Al-Timemy and G. Li, "Modem Myoelectric Control – Is it Time to Change the Algorithmic Focus?," 2024 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Orlando, FL, USA, 2024, pp. 1-4, doi: 10.1109/EMBC53108.2024.10782511.

  2. O. W. Samuel et al., "An Efficient Deep Transfer Learning Network for Characterization of Stroke Patients’ Motor Execution from Multi-Channel EEG-Recordings," 2024 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Orlando, FL, USA, 2024, pp. 1-4, doi: 10.1109/EMBC53108.2024.10782368.

  3. A. H. Al-Timemy, Y. Serrestou, S. Yacoub, K. Raoof and R. N. Khushaba, "Hand Force Estimation from Acoustic Myography Using Deep Wavelet Scattering Transform and Long Short-Term Memory," 2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), Sydney, Australia, 2023, pp. 1-4, doi: 10.1109/EMBC40787.2023.10341050.

  4. A. A. Al Taee, R. N. Khushaba, T. Zia and A. Al-Jumaily, "Deep Scattering Transform with Attention Mechanisms Improves EMG-based Hand Gesture Recognition," 2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), Sydney, Australia, 2023, pp. 1-4, doi: 10.1109/EMBC40787.2023.10340544.

  5. A. Al-Jumaily and R. N. Khushaba, "Deep Hand Gesture Recognition: A Wavelet Scattering Alternative to Convolutional Networks",2023 IEEE Statistical Signal Processing Workshop (SSP), Hanoi, Vietnam, 2023, pp. 438-442, doi: 10.1109/SSP53291.2023.10208011.

  6. M. Balamurali, A. J. Hill, J. Martinez, R. Khushaba, L. Liu, N. Kamyabpour, and E. Mihankhah, "A Framework to Address the Challenges of Surface Mining through Appropriate Sensing and Perception", Accepted to appear, ICARCV 2022.

  7. A. Al Taee, R. N. Khushaba, T. Zia, and A. Al–Jumaily, "The Effectiveness of Narrowing the Window size for LD & HD EMG Channels based on Novel Deep Learning Wavelet Scattering Transform Feature Extraction Approach", 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2022, pp. 3698-3701, doi: 10.1109/EMBC48229.2022.9871473.

  8. A. H. Al-Timemy, Y. Serrestou, R. Khushaba, S. Yacoub, and K. Raoof, "Hand Movement Recognition with Long Short-Term Memory based Pattern Recognition of Acoustic Myography signals", IEEE International Conference on Design & Test of Integrated Micro & Nano-Systems (DTS), 2022, pp. 1-5, doi: 10.1109/DTS55284.2022.9809905.

  9. L. Liu, M. Balamurali, K. Silversides, R. N. Khushaba, "Inference of Geological Material Groups Using Structural Monitoring Sensors on Excavators". In: Long G., Yu X., Wang S. (eds) AI 2021: Advances in Artificial Intelligence. AI 2022. Lecture Notes in Computer Science, vol 13151. Springer, Cham. https://link.springer.com/chapter/10.1007/978-3-030-97546-3_64.

  10. O. Fleming, A. Ball, R.N. Khushaba, "Predicting Geological Material Types Using Ground Penetrating Radar". In: Long G., Yu X., Wang S. (eds) AI 2021: Advances in Artificial Intelligence. AI 2022. Lecture Notes in Computer Science, vol 13151. Springer, Cham. https://link.springer.com/chapter/10.1007/978-3-030-97546-3_22.

  11. A. Al Taee, R. N. Khushaba, T. T. Zia, and A. Al-Jumaily, "Cardinality and Short-Term Memory Concepts Based Novel Feature Extraction for Myoelectric Pattern Recognition", 2021 43nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2021.

  12. M. Jabbari, R. N. Khushaba and K. Nazarpour, "Combined Dynamic Time Warping and Spatiotemporal Attention for Myoelectric Control ", 2021 43nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2021.

  13. A. A. Al Taee, R. N. Khushaba, A. H. Al-Timemy and A. Al-Jumaily, "Recurrent Fusion of Time-Domain Descriptors Improves EMG-based Hand Movement Recognition," 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2020, pp. 657-661, doi: 10.1109/EMBC44109.2020.9175602.

  14. M. Jabbari, R. N. Khushaba and K. Nazarpour, "EMG-Based Hand Gesture Classification with Long Short-Term Memory Deep Recurrent Neural Networks," 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2020, pp. 3302-3305, doi: 10.1109/EMBC44109.2020.9175279.

  15. A. Chahid, R. N. Khushaba, A. Al-Jumaily and T. -M. Laleg-Kirati, "A Position Weight Matrix Feature Extraction Algorithm Improves Hand Gesture Recognition," 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2020, pp. 5765-5768, doi: 10.1109/EMBC44109.2020.9176097.

  16. A. A. Al Taee, R. N. Khushaba and A. Al-Jumaily, "Spatially Filtered Low-Density EMG and Time-Domain Descriptors Improves Hand Movement Recognition," 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Berlin, Germany, 2019, pp. 2671-2674, doi: 10.1109/EMBC.2019.8857289.

  17. E. Campbell, A. Phinyomark, A. H. Al-Timemy, R. N. Khushaba, G. Petri and E. Scheme, "Differences in EMG Feature Space between Able-Bodied and Amputee Subjects for Myoelectric Control," 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER), San Francisco, CA, USA, 2019, pp. 33-36, doi: 10.1109/NER.2019.8717161.

  18. R. N. Khushaba, A. Krasoulis, A. Al-Jumaily, and K. Nazarpour, "Spatio-Temporal Inertial Measurements Feature Extraction Improves Hand Movement Pattern Recognition without Electromyography", 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2018.

  19. C. Silveira, E. Brunton, R. Khushaba and K. Nazarpour, "Evaluation of Time-Domain Features of Sensory ENG Signals," 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Honolulu, HI, 2018, pp. 2438-2441, doi: 10.1109/EMBC.2018.8512798.

  20. R. N. Khushaba, A. Krasoulis, and K. Nazarpour, "Multi-level combination of electromyogram and inertial measurements for improved myoelectric pattern recognition", Myoelectric Controls and Upper Limb Prosthetics Symposium, MEC17, Frederiction, New Brunswick, Canada, 2017.

  21. A. Phinyomark, A. Patania, E. Ibáñez-Marcelo, R. N. Khushaba, G. Petri, "Topology Based Data Analysis Determines Subgroups of the Forearm EMG Signal Features", EMBC'2017, 2017.

  22. R. N. Khushaba, Jeffrey Peter Armitstead, Klaus Schindhelm, "Monitoring of Nocturnal Central Sleep Apnea in Heart Failure Patients Using Noncontact Respiratory Differences", 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pp. 1534 - 1538, 2017.

  23. R. N. Khushaba, A. Al-Ani, A. Al-Timemy and A. Al-Jumaily, "A fusion of time-domain descriptors for improved myoelectric hand control," 2016 IEEE Symposium Series on Computational Intelligence (SSCI), Athens, Greece, pp. 1-6, 2016.

  24. A. H. Ali, R. N. Khushaba, and J. Escudero, "A Comparison of Post-Processing Techniques on the Performance of EMG based Pattern Recognition System for the Transradial Amputees", 2016 3rd Middle East Conference on Biomedical Engineering (MECBME), ​pp. 46 - 49, 2016.

  25. R. N. Khushaba, A. Hussian Ali, A. Al-Jumaily, A. Al-Ani, "Myoelectric Feature Extraction Using Temporal-Spatial Descriptors for Multifunction Prosthetic Hand Control ", 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, IEEE EMBC, pp. 1696 - 1699, 2016.

  26. A. H. Ali, R. N. Khushaba, and J. Escudero, "Selecting the Optimal Movement Subset with Different Pattern Recognition Based EMG Control Algorithms", 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, IEEE EMBC, pp. 315 - 318, 2016.

  27. A. Al-Ani, I. Koprinska, G. Naik and R.N. Khushaba, "A Dynamic Channel Selection Algorithm for the Classification of EEG and EMG Data", IEEE World Congress on Computational Intelligence (IEEE WCCI), pp. 4076 - 4081, 2016.

  28. R. N. Khushaba, A. Al-Timemy, and S. Kodagoda, "Influence of Multiple Dynamic Factors on the Performance of Myoelectric Pattern Recognition", 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Milan, Italy, pp. 1679 - 1682, 2015.

  29. R. N. Khushaba, Chelsea Wise, Sarath Kodagoda, and Jordan Louviere, "Integrating Eye-Tracking and Wireless Electroencephalogram (EEG) in Consumer Neuroscience", Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2013; 6925-8, 2013.

  30. K. Anam, R. N. Khushaba, and A. Al-Jumaily, "Two-Channel Surface Electromyography for Individual and Combined Fingers Movements", Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2013 :4961-4. doi: 10.1109/EMBC.2013.6610661, 2013.

  31. Ahmed Al-Ani and R. N. Khushaba, "A Population based Feature Subset Selection Algorithm Guided by Fuzzy Feature Dependency ", The first International Conference on Advanced Machine Learning Technologies and Applications (AMLTA12), Volume 322, pp 430-438, Cairo, Egypt, 2012.

  32. R. N. Khushaba and Sarath Kodagoda, “Electromyogram (EMG) Feature Reduction Using Mutual Components Analysis for Multifunction Prosthetic Fingers Control”‏, in Proc. Int. Conf. on Control, Automation, Robotics & Vision (ICARCV), Guangzhou, 2012, pp. 1534-1539. (6 pages)

  33. S. Wang, S. Kodagoda, and R. N. Khushaba, “Towards Speed-Independent Road-Type Classification”‏, in Proc. Int. Conf. on Control, Automation, Robotics & Vision (ICARCV), Guangzhou, 2012, pp. 614-619. (6 pages).

  34. L. Shi, S. Kodagoda, R. N. Khushaba, and G. Dissanayake, "Application of CRF and SVM based Semi-supervised Learning for Semantic Labeling of Environments", in Proc. Int. Conf. on Control Automation Robotics & Vision (ICARCV), Guangzhou, 2012, pp. 835-840. (6 pages)

  35. R. N. Khushaba, L. Shi, and S. Kodagoda, "Time-Dependent Spectral Features for Limb Position Invariant Myoelectric Pattern Recognition", in Proc. Int. Symp. on Communications & Information Technologies (ISCIT2012), Gold Coast, pp. 1020-1025, 2012.

  36. R. N. Khushaba, S. Kodagoda, G. Dissanayake, L. Greenacre, S. Burke, and J. Louverie, " A Neuroscientific Approach to Choice Modeling: Electroencephalogram (EEG) and User Preferences", The 2012 International Joint Conference on Neural Networks (IJCNN), pp. 1-8, 2012. (Emotiv EPOC EEG Headset and TOBBI EYE-TRACKER).

  37. R. N. Khushaba, S. Kodagoda, Dikai Liu, and G. Dissanayake, "Electromyogram (EMG) based Fingers Movement Recognition Using Neighborhood Preserving Analysis with QR-Decomposition", Seventh International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP), pp. 1-6, 2011. (ERA Ranking: B). Best paper in the Biomedical Sensing and Sensors Symposium.

  38. R. N. Khushaba, S. Kodagoda, S. Lal, and G. Dissanayake, Intelligent Driver Drowsiness Detection System Using Uncorrelated Fuzzy Locality Preserving Analysis”, IEEE IROS2011, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 89-92, 2011.. (Conference version).(ERA Ranking: A)

  39. M. Patel, R. N. Khushaba, J. V. Miro, and G. Dissanayake, “Probabilistic models versus Discriminant Classifiers for Human Activity Recognition with an Instrumented Mobility-Assistance Aid”, IEEE Australasian Conference on Robotics and Automation (ACRA), 2010. (ERA Ranking: A).

  40. A. AlSukker, R. N. Khushaba, A. Al-Ani, “Enhancing the Diversity of Genetic Algorithm for Improved Feature Selection”, IEEE Conference on Systems, Man and Cybernetics (SMC2010), Accepted for publication. 2010. (ERA Ranking: B)

  41. R. N. Khushaba, R. Elliot, A. AlSukker, A. Al-Ani, and S. McKinley, “Orthogonal Locality Sensitive Fuzzy Discriminant Analysis in Sleep-Stage Scoring”, International Conference on Pattern Recognition (ICPR2010), pp. 165-168, 2010. (ERA Ranking: B)

  42. R. N. Khushaba, A. AlSukker, and A. Al-Ani, “Optimizing the k-NN Metric Weights Using Differential Evolution”, International Conference on Multimedia Computing and Information Technology (MCIT-2010), March 2010, Sharjah, UAE, pp. 89-92.

  43. R. N. Khushaba, A. Al-Ani, and A. Al-Jumaily, “Differential evolution based feature subset selection”, 19th International Conference on Pattern Recognition, ICPR2008, Tampa, FL, USA, pp. 1 – 4, 2008. (ERA Ranking: B)

  44. R. N. Khushaba, A. Al-Jumaily, and A. Al-Ani, “Fuzzy discriminant analysis based feature projection in myoelectric control”, 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2008. Vancouver, BC, Canada, pp. 5049 – 5052, 2008. (ERA Ranking: A)

  45. R. N. Khushaba, A. AlSukker, A. Al-Ani, A. Al-Jumaily, “Intelligent Artificial Ants based Features Extraction from Wavelet Packet Coefficients for Biomedical Signal Classification”, 3rd International Symposium on Communications, Control and Signal Processing, ISCCSP, St Julians, Malta, pp. 1366 – 1371, 2008.

  46. R. N. Khushaba, A. Al-Ani, and A. Al-Jumaily, “Swarm Intelligence in Myoelectric Control: Particle Swarm Based Dimensionality Reduction”, The Sixth IASTED International Conference on Biomedical Engineering ~BioMED 2008, Innsburck, pp. 40 – 45, Austria, 2008. (ERA Ranking: A)

  47. R. N. Khushaba, A. Al-Sukker, A. Al-Ani, and A. Al-Jumaily, “Enhanced Feature Selection Algorithm Using Ant Colony Optimization and Fuzzy Memberships”, The Sixth IASTED International Conference on Biomedical Engineering ~BioMED 2008, Innsburck, pp. 34 – 39, Austria, 2008. (ERA Ranking: A)

  48. R. N. Khushaba, A. Al-Ani, and A. Al-Jumaily, “Swarm Intelligence based Dimensionality Reduction for Myoelectric Control”, 3rd International Conference on Intelligent Sensors, Sensor Networks and Information, ISSNIP’07, Melbourne, Australia, pp. 577 – 582, 2007. (ERA Ranking: B)

  49. A Cheim, A. Al-Jumaily, and R. N. Khushaba, “A Novel System for Skin Lesion Detection”, 3rd International Conference on Intelligent Sensors, Sensor Networks and Information Processing, ISSNIP’07, Melbourne, Australia, pp. 567 - 572, 2007. (ERA Ranking: B)

  50. R. N. Khushaba, A. Al-Jumaily, and A. Al-Ani, “Novel Feature Extraction Method based on Fuzzy Entropy and Wavelet Packet Transform for Myoelectric Control”, 7th International Symposium on Communications and Information Technologies ISCIT2007, Sydney, Australia, pp. 352 – 357. (ERA Ranking: B)

  51. R. N. Khushaba, and A. Al-Jumaily, “Channel and feature Selection in Multifunction Myoelectric Control”, 29th IEEE EMBS Annual International Conference, Lyon-France, pp. 5182 – 518, 2007. (ERA Ranking: A)

  52. R. N. Khushaba and A. Al-Jumaily, “A Simple-Effective Approach for Myoelectric Control of Prosthetic Devices for Rehabilitation”, Cairo International Biomedical Engineering Conference (CIBEC), 2006.

  53. R. N. Khushaba, H. A. Akar, J. Al-Samarai, “A Purely Capacitor Implementation of Hamming Neural Network”, Tunisian-German Conference on Smart Systems & devices SSD2001, 27-30 March 2001, Hammamet, Tunisia.

  54. R. N. Khushaba, H. A. Akar, J. Al-Samarai, “Analog VLSI Implementation of the Euclidean Distance Classifier for fixed-weight Neural Networks”, The Second regional conference in Computers, Communications, Control and Systems Engineering, 23-24 December 2001, University of Technology, Iraq.

Book Chapters:

  1. Ahmed A Al Taee, Rami N Khushaba, Tanveer Zia, Adel Al-Jumaily, "EMG Feature Extraction based on Cardinality with Deep Learning Concepts", In Non-Invasive Health Systems based on Advanced Biomedical Signal and Image Processing, edited by Adel Al-Jumaily, Paolo Crippa, Ali Mansour, Claudio Turchetti, CRC Press, Taylor and Francis Group, 2024.

  2. A. H. Al-Timemy, R. N. Khushaba, Z. M. Mosa, J. Escudero, "An Efficient Mixture of Deep and Machine Learning Models for COVID-19 and Tuberculosis Detection Using X-Ray Images in Resource Limited Settings", Artificial Intelligence for COVID19, Springer, 2020.

  3. R. N. Khushaba, A. Al-Ani, and A. Al-Jumaily, “Swarm based Fuzzy Discriminant Analysis for Multifunction Prosthesis Control”, Lecture Notes in Computer Science, ANNPR2010: Fourth IAPR TC3 Workshop on Artificial Neural Networks in Pattern Recognition, pp. 197-206, 2010.

  4. R. N. Khushaba, A. Al-Ani, and A. Al-Jumaily, “Feature Subset Selection Using Differential Evolution”, Lecture Notes in Computer Science, Advances in Neuro-Information Processing, M. Koppen et al. (Eds.): ICONIP 2008, Part I, pp. 103-110, 2009.

  5. R. N. Khushaba, A. Al-Ani, A. Al-Jumaily, and H. T. Nguyen, “A Hybrid Nonlinear-Discriminant Analysis Feature Projection Technique”, Lecture Notes in Computer Science, AI 2008: Advances in Artificial Intelligence, LNAI 5360, W. Wobcke and M. Zhang (Eds.): Springer Berlin / Heidelberg, pp. 544–550, 2008.

  6. R. N. Khushaba, A. Al-Ani, A. AlSukker, and A. Al-Jumaily, “A Combined Ant Colony and Differential Evolution Feature Selection Algorithm”, Lecture Notes in Computer Science, ANTS2008: Ant Colony Optimization and Swarm Intelligence, LNCS 5217, M. Dorigo et al (Eds.): Springer Berlin / Heidelberg, pp. 1-12. 2008.

  7. R. N. Khushaba, and A. Al-Jumaily, Myoelectric Control of Prosthetic Devices for Rehabilitation, Encyclopaedia of Healthcare Information Systems, N. Wickramasinghe and E. Geisler (Eds.), IDEA Group Inc, pp. 965 – 971, 2007.

Conference Presentations/Abstracts

  1. Rami N. Khushaba, Agamemnon Krasoulis, and Kianoush Nazarpour, "Multi-level combination of electromyogram and inertial measurements for improved myoelectric pattern recognition", Myoelectric Controls and Upper Limb Prosthetics Symposium, MEC17, Frederiction, New Brunswick, Canada, 2017.

  2. Angkoon Phinyomark, Alice Patania, Esther Ibáñez-Marcelo, Rami N. Khushaba, Giovanni Petri, "Topology Based Data Analysis Determines Subgroups of the Forearm EMG Signal Features", EMBC'2017, accepted to appear, 2017.

  3. Chelsea Wise, Rami Khushaba, Sarath Kodagoda and Jordan J. Louviere (2013), “On the Cognitive Search for Consumer Preferences: Integrating Eye-Tracking and Electroencephalogram (EEG).” 2013 ISMS Marketing Science Conference, Istanbul, Turkey

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