Mohamed Mabrok

Mohamed Mabrok

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Publications

Publication List

My Publications

2025

  • πŸ“–
    A Hybrid CNN-VSSM model for Multi-View, Multi-Task Mammography Analysis: Robust Diagnosis with Attention-Based Fusion
    Yalda Zafari, Roaa Elalfy, Mohamed Mabrok, Somaya Al-Maadeed, Tamer Khattab, and Essam A Rashed
    arXiv preprint arXiv:2507.16955, 2025
  • πŸ“–
    Flatten Wisely: How Patch Order Shapes Mamba-Powered Vision for MRI Segmentation
    Osama Hardan, Omar Elshenhabi, Tamer Khattab, and Mohamed Mabrok
    arXiv preprint arXiv:2507.13384, 2025
  • πŸ“–
    MCST-Mamba: Multivariate Mamba-Based Model for Traffic Prediction
    Mohamed Hamad, Mohamed Mabrok, and Nizar Zorba
    arXiv preprint arXiv:2507.03927, 2025
  • 🎀
    UAV-Assisted HAPS in Intelligent Transportation Systems under Wind Disturbances
    Malek Chabbouh, Nizar Zorba, Tamer Khattab, and Mohamed Mabrok
    2025 International Wireless Communications and Mobile Computing (IWCMC), pp. 1009-1014, IEEE, 2025
  • πŸ“–
    Negative imaginary systems theory for nonlinear systems: A dissipativity approach
    Ahmed G Ghallab, Mohammed A Mabrok, and Ian R Petersen
    IEEE Transactions on Automatic Control, 2025
  • 🎀
    Model Order Reduction for System with Negative Imaginary property: Structure-Preserving Approach
    Mohamed A Mabrok, Nader Meskin, and Tamer Khattab
    2025 Australian & New Zealand Control Conference (ANZCC), pp. 47-52, IEEE, 2025
  • πŸ“–
    An Online Learning Framework for Uav Search Mission in Adversarial Environments
    Noor Khial, Naram Mhaisen, Mohamed Mabrok, and Amr Mohamed
    Expert Systems with Applications, 2025

2024

  • 🎀
    On the Challenges and Perspectives of Stroke Segmentation Using AI
    Mohamed Mabrok, Yalda Zafari-Ghadim, Mostafa Mabrok, and Essam A Rashed
    2024 IEEE International Conference on Future Machine Learning and Data Science (FMLDS), pp. 129-134, IEEE, 2024
  • πŸ“–
    Deep models for stroke segmentation: do complex architectures always perform better?
    Ahmed Soliman, Yalda Zafari-Ghadim, Yousif Yousif, Ahmed Ibrahim, Amr Mohamed, Essam A Rashed, and Mohamed Mabrok
    IEEE Access, 2024
  • 🎀
    Refine and Identify: An Accelerated Iterative Algorithm for Securing Federated Learning
    A Gouissem, Z Chkirbene, T Khattab, M Mabrok, M Abdallah, and R Hamila
    2024 International Wireless Communications and Mobile Computing (IWCMC), pp. 1767-1772, IEEE, 2024
  • πŸ“–
    Low complexity Byzantine-resilient federated learning
    A Gouissem, S Hassanein, K Abualsaud, E Yaacoub, M Mabrok, M Abdallah, T Khattab, and M Guizani
    IEEE Transactions on Information Forensics and Security, 2024
  • 🎀
    An integral reinforcement learning approach for temperature regulation in a reverse flow reactor
    Abdellaziz Binid, Ilyasse Aksikas, Mohamed Mabrok, and Nader Meskin
    2024 IEEE 63rd Conference on Decision and Control (CDC), pp. 3533-3538, IEEE, 2024
  • 🎀
    DRL-based low Latency control for Endoscopic operations
    Abdelrahman Soliman, Hoda Helmy, Elias Yaacoub, Mohamed Mabrok, Nikhil V Navkar, and Amr Mohamed
    2024 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI), pp. 1-8, IEEE, 2024
  • 🎀
    An Online Learning Framework for UAV Target Search Missions in Non-Stationary Environments
    Noor Khial, Naram Mhaisen, Mohamed Mabrok, and Amr Mohamed
    2024 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE), pp. 753-758, IEEE, 2024
  • 🎀
    Efficient Attention-guided Transformer for brain stroke segmentation
    Ahmed Soliman, Yalda Zafari-Ghadim, Essam A Rashed, and Mohamed Abdalla Mabrok
    Proceedings of the 2024 9th International Conference on Multimedia and Image Processing, pp. 127-131, 2024
  • 🎀
    Neuro-TransUNet: A comprehensive transformer-based architecture for precise segmentation of stroke lesions in 3D MRI
    Muhammad Nouman, Mohamed Mabrok, and Essam A Rashed
    Proceedings of the 2024 9th International Conference on Multimedia and Image Processing, pp. 152-156, 2024
  • 🎀
    Real-Time Colonic Disease Diagnosis with DRL Low Latency Assistive Control
    Abdulrahman Soliman, Elias Yaacoub, Mohamed Mabrok, Nikhil V Navkar, Momen Abayazid, and Amr Mohamed
    2024 IEEE International Symposium on Medical Measurements and Applications (MeMeA), pp. 1-6, IEEE, 2024
  • πŸ“–
    Adaptive temperature control of a reverse flow process by using reinforcement learning approach
    A Binid, I Aksikas, MA Mabrok, and N Meskin
    Journal of Process Control, Vol. 140, pp. 103259, Elsevier, 2024
  • πŸ“–
    Optimal event-triggered control for wireless power transfer system in electric vehicles
    Mahmoud Abdelrahim, Dhafer Almakhles, and Mohamed Mabrok
    Energy Science & Engineering, Vol. 12, No. 6, pp. 2687-2701, 2024
  • πŸ“–
    Neuro-TransUNet: Segmentation of stroke lesion in MRI using transformers
    Muhammad Nouman, Mohamed Mabrok, and Essam A Rashed
    arXiv preprint arXiv:2406.06017, 2024
  • πŸ“–
    Revolutionising healthcare with artificial intelligence: A bibliometric analysis of 40 years of progress in health systems
    Walayat Hussain, Mohamed Mabrok, Honghao Gao, Fethi A Rabhi, and Essam A Rashed
    Digital Health, Vol. 10, SAGE, 2024
  • πŸ“–
    Transformers-based architectures for stroke segmentation: A review
    Yalda Zafari-Ghadim, Essam A Rashed, Amr Mohamed, and Mohamed Mabrok
    Artificial Intelligence Review, Vol. 57, No. 11, pp. 307, Springer, 2024
  • 🎀
    Generalized Dissipativity and Nonlinear Negative Imaginary Systems
    Nader Meskin, Mohamed A Mabrok, and Alexander Lanzon
    2024 UKACC 14th International Conference on Control (CONTROL), pp. 137-142, IEEE, 2024
  • πŸ“–
    Robust adaptive fuzzy control for second-order Euler–Lagrange systems with uncertainties and disturbances via nonlinear negative-imaginary systems theory
    Vu Phi Tran, Mohamed A Mabrok, Sreenatha G Anavatti, Matthew A Garratt, and Ian R Petersen
    IEEE Transactions on Cybernetics, Vol. 54, No. 9, pp. 5102-5114, IEEE, 2024
  • πŸ“–
    Robust stabilization of LTI negative imaginary systems using the nearest negative imaginary controller
    Mohamed Mabrok and Mahmoud Abdelrahim
    IET Control Theory & Applications, Vol. 18, No. 4, pp. 399-407, 2024

2023

  • 🎀
    Large-Scale Swarm Control in Cluttered Environments
    Saber Elsayed and Mohamed Mabrok
    International Conference on Social Robotics, pp. 384-395, Springer, 2023
  • πŸ“–
    Koopman operator approximation under negative imaginary constraints
    Mohamed A Mabrok, Ilyasse Aksikas, and Nader Meskin
    IEEE Control Systems Letters, Vol. 7, pp. 2767-2772, IEEE, 2023
  • πŸ“–
    Networked control design for an engine throttle valve system
    Mahmoud Abdelrahim, Mohamed A Mabrok, and Mohamed Abdelmonim Hassan Darwish
    International Journal of Control, Vol. 96, No. 7, pp. 1736-1743, Taylor & Francis, 2023
  • 🎀
    Finding the nearest negative imaginary system with application to near-optimal controller design
    Mohamed A Mabrok
    2023 European Control Conference (ECC), pp. 1-6, IEEE, 2023

2022

  • 🎀
    Robust adaptive learning control for different classes of dissipative vehicle systems
    MA Mabrok, Vu Phi Tran, Ian R Petersen, and Matthew A Garratt
    2022 IEEE Vehicle Power and Propulsion Conference (VPPC), pp. 1-6, IEEE, 2022
  • πŸ“–
    OCTUNE: optimal control tuning using real-time data with algorithm and experimental results
    Mohamed Abdelkader, Mohamed Mabrok, and Anis Koubaa
    Sensors, Vol. 22, No. 23, pp. 9240, MDPI, 2022
  • πŸ“–
    Modeling and simulations of water network distribution to assess water quality: Kuwait as a case study
    Mohamed A Mabrok, Ahmad Saad, Taha Ahmed, and Hamad Alsayab
    Alexandria Engineering Journal, Vol. 61, No. 12, pp. 11859-11877, Elsevier, 2022
  • πŸ“–
    Robust fuzzy q-learning-based strictly negative imaginary tracking controllers for the uncertain quadrotor systems
    Vu Phi Tran, Mohamed A Mabrok, Sreenatha G Anavatti, Matthew A Garratt, and Ian R Petersen
    IEEE Transactions on Cybernetics, Vol. 53, No. 8, pp. 5108-5120, IEEE, 2022

2021

  • πŸ“–
    Hybrid adaptive negative imaginary- neural-fuzzy control with model identification for a quadrotor
    Vu Phi Tran, Mohamed A Mabrok, Matthew A Garratt, and Ian R Petersen
    IFAC Journal of Systems and Control, pp. 100156, Elsevier, 2021
  • πŸ“–
    Retrofitting of Bridge Superstructures Using Negative Imaginary Control Theory
    Ahmad S Saad and Mohamed A Mabrok
    International Journal of Control, pp. 1-16, Taylor & Francis, 2021
  • πŸ“–
    On the dissipativity property of negative imaginary systems
    Mohamed A Mabrok, Maryam Ahmed Alyami, and Emad E Mahmoud
    Alexandria Engineering Journal, Vol. 60, No. 1, pp. 1403-1410, Elsevier, 2021
  • πŸ“š
    RISCuer: a reliable multi-UAV search and rescue testbed
    Mohamed Abdelkader, Usman A Fiaz, Noureddine Toumi, Mohamed A Mabrok, and Jeff S Shamma
    In Unmanned Aerial Systems, pp. 345-374, Academic Press, 2021
  • πŸ“–
    Controller synthesis for negative imaginary systems using nonlinear optimisation and h 2 performance measure
    Mohamed A Mabrok
    International Journal of Control, Vol. 94, No. 3, pp. 579-587, Taylor & Francis, 2021

2020

  • πŸ“–
    Passivity Analysis of Replicator Dynamics and its Variations
    M. A. Mabrok
    IEEE Transactions on Automatic Control, IEEE, 2020
  • πŸ“–
    Human models in human-in-the-loop control systems
    Mohamed A Mabrok, Hassan K Mohamed, Abdel-Haleem Abdel-Aty, and Ahmed S Alzahrani
    Journal of Intelligent & Fuzzy Systems, Vol. 38, No. 3, pp. 2611-2622, IOS Press, 2020

2013

  • πŸŽ“
    New results on negative imaginary systems theory with application to flexible structures and nano-positioning
    Mohamed Mabrok
    PhD thesis, UNSW Sydney, 2013
  • πŸ“–
    Spectral conditions for negative imaginary systems with applications to nanopositioning
    Mohamed A Mabrok, Abhijit G Kallapur, Ian R Petersen, and Alexander Lanzon
    IEEE/ASME Transactions on Mechatronics, Vol. 19, No. 3, pp. 895-903, IEEE, 2013
  • 🎀
    An integral resonant controller approach to frequency locking an optical cavity
    Abhijit G Kallapur, Mohamed A Mabrok, and Ian R Petersen
    2013 IEEE International Conference on Control Applications (CCA), pp. 407-411, IEEE, 2013
  • πŸ“–
    Enforcing negative imaginary dynamics on mathematical system models
    Mohamed A Mabrok, Alexander Lanzon, Abhijit G Kallapur, and Ian R Petersen
    International Journal of Control, Vol. 86, No. 7, pp. 1292-1303, Taylor & Francis, 2013

2011

  • 🎀
    A new stability result for the feedback interconnection of negative imaginary systems with a pole at the origin
    Mohamed A Mabrok, Abhijit G Kallapur, Ian R Petersen, and Alexander Lanzon
    2011 50th IEEE Conference on Decision and Control and European Control Conference, pp. 3753-3757, IEEE, 2011
  • 🎀
    Enforcing a system model to be negative imaginary via perturbation of Hamiltonian matrices
    Mohamed A Mabrok, Abhijit G Kallapur, Ian R Petersen, and Alexander Lanzon
    2011 50th IEEE Conference on Decision and Control and European Control Conference, pp. 3748-3752, IEEE, 2011
  • 🎀
    A negative imaginary lemma for descriptor systems
    Mohamed A Mabrok, Abhijit G Kallapur, Ian R Petersen, and Alexander Lanzon
    2011 Australian Control Conference, pp. 543-546, IEEE, 2011
  • 🎀
    Quantum cascade laser-based substance detection: approaching the quantum noise limit
    Peter C Kuffner, Kathryn J Conroy, Toby K Boyson, Greg Milford, Mohamed A Mabrok, and others
    Next-Generation Spectroscopic Technologies IV, Vol. 8032, pp. 67-76, SPIE, 2011
  • 🎀
    Stability analysis for a class of negative imaginary feedback systems including an integrator
    Mohamed A Mabrok, Abhijit G Kallapur, Ian R Petersen, and Alexander Lanzon
    2011 8th Asian control conference (ASCC), pp. 1481-1486, IEEE, 2011
  • πŸ“–
    Spectral conditions for the negative imaginary property of transfer function matrices
    Mohamed Mabrok, Abhijit G Kallapur, Ian R Petersen, and Alexander Lanzon
    IFAC proceedings volumes, Vol. 44, No. 1, pp. 1302-1306, Elsevier, 2011

2008

  • πŸ“–
    Evolution of the pair-coherent state with the two-qubit: entanglement and cat-state generation
    A. Faisal, A. El-Orany, A.-S.F. Obada, M.A. Mabrok, and M.R.B. Wahiddin
    Journal of Modern Optics, Vol. 55, No. 10, pp. 1649-1666, Taylor & Francis, 2008
  • Books and Chapters
    • Abdelkader, M., Fiaz, U. A., Toumi, N., Mabrok, M. A., & Shamma, J. S. (2021). Chapter 14 – riscuer: Areliable multi-uav search and rescue testbed (A. Koubaa & A. T. Azar, Eds.) doi:https://doi.org/10.1016/B978-0-12-820276-0.00021-2
    • Zahran, A. M. M., slam Hussain, Mabrok, M. A. et al. (2018). Guide for scientific research and studyabroad (in arabic) (M. gamal, H. Henawy, E. Fadaly, K. Alasmorny et al., Eds.). EgyptScholars Inc. Retrieved from https://egyptscholars.org/study-abroadguide/fbclid=IwAR0FpTAi5i0eDlPaLkhXHYslsLZxMscnPNDaA-xwxb-PSX7xVGBQmbPKWwg
  • Journal papers
    • Mabrok, M. A. (2021). Controller synthesis for negative imaginary systems using nonlinear optimisation and H∞ performance measure. International Journal of Control, 94(3), 579–587. https://doi.org/10.1080/00207179.2019.1601773
    • Mabrok, M. A., Alyami, M. A., & Mahmoud, E. E. (2021). On the dissipativity property of negative imaginary systems. Alexandria Engineering Journal, 60(1), 1403–1410. https://doi.org/10.1016/j.aej.2020.10.060
    • Saad, A. S., & Mabrok, M. A. (2021). Retrofitting of bridge superstructures using negative imaginary control theory. International Journal of Control, 1–16. https://doi.org/10.1080/00207179.2021.1889032
    • Tran, V. P., Mabrok, M. A., Anavatti, S. G., Garratt, M. A., & R.Petersen, I. (2021a). Hybrid negative imaginary-adaptive neural-fuzzy control with model identification for a quad-rotor. IFAC Journal of Systems and Control. https://doi.org/10.1016/j.ifacsc.2021.100156
    • Mabrok, M. A. (2020). Passivity analysis of replicator dynamics and its variations. IEEE Transactions onAutomatic Control. Retrieved from  https://doi.org/10.1109/TAC.2020.3027644
    • Mabrok, M. A., Mohamed, H. K., Abdel-Aty, A.-H., & Alzahrani, A. S. (2020). Human models inhuman-in-the-loop control systems. Journal of Intelligent & Fuzzy Systems, 38(3), 2611–2622. https://content.iospress.com/articles/journal-of-intelligent-and-fuzzysystems/ifs179548
    • GΓΌler, S., Algarni, M. A., Shaqura, M. Z., Jaleel, H., Mabrok, M. A., Jiang, J., . . . Shamma, J. S. (2019). Perception, navigation, and manipulation in the team kaust approach to the mbzirc ground robotics challenge. Journal of Field Robotics, 36(5), 973–1003. R https://doi.org/10.1002/rob.21865
    • Mabrok, M. A., & Abdel-Aty, A.-H. (2019). Pattern detection for time series trajectories in human in theloop applications. Journal of Intelligent & Fuzzy Systems, (Preprint), 1–9. Retrieved from  https://content.iospress.com/articles/journal-of-intelligent-and-fuzzy-systems/ifs179070
    • Kuntz, K. B., Wheatley, T. A., Song, H., Webb, J. G., Mabrok, M. A., Huntington, E. H., & Yonezawa, H. (2017). Ultra-wide frequency response measurement of an optical system with a dc photo-detector. Optics express, 25(2), 573–586.
    • Mabrok, M. A., & Ryan, M. J. (2017). Category theory as a formal mathematical foundation for model-based systems engineering. Appl. Math. Inf. Sci, 11, 43–51.
    • Mabrok, M. A., Elsayed, S., & Ryan, M. J. (2016). Mathematical framework for recursive model-based system design. Nonlinear Dynamics, 84(1), 223–236. Retrieved from https://link.springer.com/article/10.1007/s11071-015-2418-1
    • Mabrok, M. A., & Petersen, I. R. (2016). Controller synthesis for negative imaginary systems: A data driven approach. IET Control Theory & Applications, 10(12), 1480–1486. Retrieved from https://doi.org/10.1049/iet-cta.2015.0800
    • Dong, D., Mabrok, M. A., Petersen, I. R., Qi, B., Chen, C., & Rabitz, H. (2015). Sampling-based learning control for quantum systems with uncertainties. IEEE Transactions on Control Systems Technology, 23(6), 2155–2166. Retrieved from  https://doi.org/10.1109/TCST.2015.2404292
    • Mabrok, M. A., Efatmaneshnik, M., & Ryan, M. J. (2015). Integrating nonfunctional requirements into axiomatic design methodology. IEEE Systems Journal, 11(4), 2204–2214. Retrieved from https://doi.org/10.1109/JSYST.2015.2462073
    • Mabrok, M. A., Haggag, M. A., & Petersen, I. R. (2015). System identification algorithm for negative imaginary systems. Appl. Comput. Math, 14(3), 336–348.
    • Mabrok, M. A., Kallapur, A. G., Petersen, I. R., & Lanzon, A. (2015). A generalized negative imaginary lemma and riccati-based static state-feedback negative imaginary synthesis. Systems & Control Letters, 77, 63–68. Retrieved from  https://doi.org/10.1016/j.sysconle.2015.01.008
    • Mabrok, M. A., Dong, D., Petersen, I. R., & Chen, C. (2014). Entanglement generation in uncertain quantum systems using sampling-based learning control. IFAC Proceedings Volumes, 47(3), 5963–5968. Retrieved from  https://doi.org/10.3182/20140824-6-ZA-1003.02079
    • Mabrok, M. A., Kallapur, A. G., Petersen, I. R., & Lanzon, A. (2014a). Generalizing negative imaginary systems theory to include free body dynamics: Control of highly resonant structures with free body motion. IEE Transactions on Automatic Control, 59(10), 2692–2707. Retrieved from https://doi.org/10.1109/TAC.2014.2325692
    • Mabrok, M. A., Kallapur, A. G., Petersen, I. R., & Lanzon, A. (2014b). Locking a three-mirror optical cavity using negative imaginary systems approach. Quantum Inf Rev, 1, 1–8. Retrieved from http://www.naturalspublishing.com/files/published/3pc9yuf33yj501.pdf
    • Mabrok, M. A., Kallapur, A. G., Petersen, I. R., & Lanzon, A. (2013). Spectral conditions for negativeimaginary systems with applications to nanopositioning. IEEE/ASME Transactions on Mechatronics, 19(3), 895–903. Retrieved from  https://doi.org/10.1109/TMECH.2013.2263292
    • Mabrok, M. A., Lanzon, A., Kallapur, A. G., & Petersen, I. R. (2013). Enforcing negative imaginary dynamics on mathematical system models. International Journal of Control, 86(7), 1292–1303. Retrieved from  https://doi.org/10.1080/00207179.2013.804951
    • Mabrok, M. A., Kallapur, A. G., Petersen, I. R., & Lanzon, A. (2012b). Generalized negative imaginary lemma for descriptor systems. Journal of Mechanics Engineering and Automation, 2(1), 17–21.
    • Mabrok, M. A., Kallapur, A. G., Petersen, I. R., & Lanzon, A. (2011d). Spectral conditions for the negative imaginary property of transfer function matrices. IFAC proceedings volumes, 44(1), 1302–1306. Retrieved from  https://doi.org/10.3182/20110828-6-IT-1002.00714
    • El-Orany, F. A., Obada, A.-S., Mabrok, M. A., & Wahiddin, M. (2008). Evolution of the pair-coherent state with the two-qubit: Entanglement and cat-state generation. Journal of Modern Optics, 55(10), 1649–1666. Retrieved from  https://doi.org/10.1080/09500340701762730
  • Conference Proceedings
    • 1 Owyed, S., Abdel-Aty, A., Mabrok, M. A., & Zakaria, N. (2019). Mathematical modeling and simulationof 3-qubits quantum annealing processor. In Proceedings of the 2019 2nd international conference onmathematics and statistics (pp. 14–18).
    • 2 Ghallab, A. G., Mabrok, M. A., & Petersen, I. R. (2018). Extending negative imaginary systems theory tononlinear systems. In 2018 IEEE conference on decision and control (cdc) (pp. 2348–2353). IEEE.
    • 3 Kuntz, K. B., Wheatley, T. A., Webb, J. G., Song, H., Mabrok, M. A., & Huntington, E. H. (2018).Frequency response measurement of optical cavities using an intensity modulated laser beam anddirect power measurement.
    • 4 Mabrok, M. A., & Petersen, I. R. (2018). Negative imaginary h_{2} controller synthesis using nonlinearoptimization. In 2018 IEEE conference on decision and control (cdc) (pp. 6526–6531). IEEE.
    • 5 Ghallab, A. G., Mabrok, M. A., & Petersen, I. R. (2017). Lyapunov-based stability of feedbackinterconnections of negative imaginary systems. (Vol. 50, pp. 3424–3428). Elsevier.
    • 6 Mabrok, M. A., & Shamma, J. S. (2016). Passivity analysis of higher order evolutionary dynamics andpopulation games. In 2016 IEEE 55th conference on decision and control (cdc) (pp. 6129–6134). IEEE.
    • 7 Mabrok, M. A., Efatmaneshnik, M., & Ryan, M. (2015). Including non-functional requirements in theaxiomatic design process. In 2015 annual IEEE systems conference (syscon) proceedings (pp. 54–60). IEEE.
    • 8 Mabrok, M. A., & Petersen, I. R. (2015). Data driven controller synthesis for negative imaginarysystems. In 2015 10th asian control conference (ascc) (pp. 1–5). IEEE.
    • 9 Abdel-Aty, A.-H., Zakaria, N., & Mabrok, M. A. (2014). Dynamics of the entanglement over noisyquantum networks. In 2014 international conference on computer and information sciences (iccoins)(pp. 1–6). IEEE.
    • 10 Mabrok, M. A., Dong, D., Chen, C., & Petersen, I. R. (2014). Robust entanglement control between twoatoms in a cavity using sampling-based learning control. In 53rd IEEE conference on decision and control(pp. 5802–5807). IEEE.
    • 11 Mabrok, M. A., Haggag, M., Petersen, I. R., & Lanzon, A. (2014). A subspace system identificationalgorithm guaranteeing the negative imaginary property. In 53rd IEEE conference on decision and control(pp. 3180–3185). IEEE.
    • 12 Mabrok, M. A., & Petersen, I. R. (2014). Negative imaginary feedback systems. In 2014 4th australiancontrol conference (aucc) (pp. 130–133). IEEE.
    • 13 Kallapur, A. G., Mabrok, M. A., & Petersen, I. R. (2013). An integral resonant controller approach tofrequency locking an optical cavity. In 2013 IEEE international conference on control applications (cca)(pp. 407–411). IEEE.
    • 14 Mabrok, M. A., Kallapur, A. G., Petersen, I. R., & Lanzon, A. (2012a). A stability result on the feedbackinterconnection of negative imaginary systems with poles at the origin. In 2012 2nd australian controlconference (pp. 98–103). IEEE.
    • 15 Mabrok, M. A., Kallapur, A. G., Petersen, I. R., SchΓΌtte, D., Boyson, T. K., & Lanzon, A. (2012). Locking athree-mirror optical cavity: A negative imaginary systems approach. In 2012 2nd australian controlconference (pp. 476–480). IEEE.
    • 16 Mabrok, M. A., Kallapur, A. G., Petersen, I., & Lanzon, A. (2012). Stabilization of conditional uncertainnegative-imaginary systems using riccati equation approach. In Proceedings of the 20th internationalsymposium on mathematical theory of networks and systems (mtns) (pp. 9–13).
    • 17 Kuffner, P. C., Conroy, K. J., Boyson, T. K., Milford, G., Mabrok, M. A., Kallapur, A. G., . Kirkbride, K. P. et al. (2011). Quantum cascade laser-based substance detection: Approaching thequantum noise limit. In Next-generation spectroscopic technologies iv (Vol. 8032, p. 80320C). InternationalSociety for Optics and Photonics.
    • 18 Mabrok, M. A., Kallapur, A. G., Petersen, I. R., & Lanzon, A. (2011a). A negative imaginary lemma fordescriptor systems. In 2011 australian control conference (pp. 543–546). IEEE.
    • 19 Mabrok, M. A., Kallapur, A. G., Petersen, I. R., & Lanzon, A. (2011b). A new stability result for thefeedback interconnection of negative imaginary systems with a pole at the origin. In 2011 50th IEEEconference on decision and control and european control conference (pp. 3753–3757). IEEE.
    • 20 Mabrok, M. A., Kallapur, A. G., Petersen, I. R., & Lanzon, A. (2011c). Enforcing a system model to benegative imaginary via perturbation of hamiltonian matrices. In 2011 50th IEEE conference on decisionand control and european control conference (pp. 3748–3752). IEEE.
    • 21 Mabrok, M. A., Kallapur, A. G., Petersen, I. R., & Lanzon, A. (2011e). Stability analysis for a class ofnegative imaginary feedback systems including an integrator. In 2011 8th asian control conference (ascc)(pp. 1481–1486). IEEE.