Mahmoud Elsisi(馬哈茂德)

Mahmoud Elsisi(馬哈茂德) 副教授

電力組
分機
15511
研究室
建工校區-電機館713室
Email
mahmoudelsisi@nkust.edu.tw

Renewable energy

Power system dynamics: Stability &Control

Nuclear power plant control

Wind energy conversion systems (WECs)

Artificial intelligence techniques

Machine learning

Deep learning

Internet of things (IoT)

Cybersecurity

Model predictive control

Decentralized control of large scale systems

Neural Networks and Fuzzy Logic

Robotic control

Autonomous vehicle control

Ph. D., Department of Electrical Engineering, Benha University (2014/9 to 2017/7)

M. Sc., Department of Electrical Engineering, Benha University (2011/9 to 2014/4)

B. Sc., Department of Electrical Engineering, Benha University (2006/9 to 2011/6)

Associate Professor, Department of Electrical Engineering, National Kaohsiung University of Science and Technology, Taiwan. 2022/8~

Assistant Professor, Industry 4.0 Implementation Center, Center for Cyber‐Physical System Innovation, National Taiwan University of Science and Technology, Taiwan. 2019/8~2022/7

Assistant Professor, Department of Electrical Engineering, Faculty of Engineering at Shoubra, Benha University, Cairo, Egypt. 2017/7~2019/7

  1. Reliable IoT based on Robust Kalman Filter and Reinforcement Learning Techniques Towards Renewable Energy Penetration and Enhancing Resilience Operation in Smart Grids technology (National Science and Technology Council (NSTC) of Taiwan, grant number: NSTC 113-2221-E-992 -086 -MY3) 2024/8 ~ 2027/7.
  2. Research and Development of Advanced Control Techniques in Hybrid AC/DC Microgrid Systems for Net-Zero Distribution Grids。(National Science and Technology Council (NSTC) of Taiwan, grant number: NSTC 114-2923-E-992 -001 -MY3) 2025/10 ~ 2028/9.
  3. Hno.1181 rescue ship power product quality measurement and inspection analysis (Taiwan International Shipbuilding Co., Ltd.) 2023/11/01~2026/08/30.
  4. Taipower Background Harmonic Measurement and Analysis (Taiwan Huanfeng Holdings Co., Ltd.) 2024/08/01~2024/07/31.
  5. Inter SCADA: Interoperable, Scalable and Secure AC-DC Modular Automation System (European Union) 2024/08/01 ~ 2027/07/31.
  6. Research on operation and management of advanced power distribution system with high proportion of green energy supported by edge PMU sensing and aggregation dispatching technology (National Science and Technology Council (NSTC) of Taiwan, grant number: NSTC 112-2218-E-992 -005) 2023/7 ~ 2025/6.
  7. Internet of Things and Predictive Control (Institute: National Institute of Technology, Warangal India, Course no.: 2412154) 01 – 05 Feb, 2025.
  8. Optimal operation of ships based on advanced machine learning algorithms and digital twins technology for emissions reduction (2024/3~2024/11), NKUST, Taiwan.
  9. Harmonic power flow tracking and value-added application test for offshore wind power grid connection, Taiwan Electric Power company. 08/31/2023 ~02/26/2024.
  10. Internet of Things and Drone-Assisted Ship Emissions Monitoring and Bi-Directional Cold-Ironing Control for Energy Management of Ships Berthing (4/2023-11/2023), NKUST, Taiwan.
  11. A Study on Cybersecurity Testing Techniques for Low-Orbit Satellites, Auray company, (2023/4~2023/10)
  12. Reliable industrial IoT architecture based on robust model predictive control and artificial intelligence, used to prevent automated guided vehicles from cyberattacks and data loss (Ministry of Science and Technology (MOST) of Taiwan, grant number: MOST 110-2222-E-011-013-), host, 2021/7~2022/6
  13. Center for Cyber-Physical System Innovation, Taiwan, Project Assistant Professor, 2019/8~2022/7
  14. CONTACT Elements for IoT platform, Germany Company, host, 2020/4~2026/1
  15. Development of Real-time Cutting Chatter Monitoring System and IoT Platform for Smart CNC Machine (Ministry of Science and Technology (MOST) of Taiwan, grant number: MOST 110-2222-E-011-002-), Researcher, 2021/1~2021/12

Journal Papers (*Corresponding Author)

  1. M. Elsisi*, M. N. Ali, T. M. Aljohani and M. Sharawy, "A new variable step fuzzy logic control technique for minimum emission point tracking of ship microgrid," IEEE Transactions on Transportation Electrification, 2025, (SCI) https://doi.org/10.1109/TTE.2024.3439000
  2. M. Elsisi, C. -L. Su, C. -H. Lin and T. -T. Ku, "Enhancing Resilient Operation of Distributed Energy Resources Using an Improved Machine Learning-Based IoT Framework Against Cyberattack Perturbation," IEEE Transactions on Industry Applications, 2025, (SCI) https://doi.org/10.1109/TIA.2025.3547704
  3. M. Elsisi*, Jin-Ting Yu, C. -L. Su, "New Design of Reliable Passive Filter for Harmonic Mitigation Using Secretary Bird Optimization Considering Power System Uncertainty," IEEE Transactions on Reliability, 2025. (SCI)  https://doi.org/10.1109/TR.2025.3575434
  4. M. Elsisi*, M. Amer, C-L. Su, T. Aljohani, M.N. Ali, M. Sharawy “ A Comprehensive Review of Machine Learning and Internet of Things Integrations for Emission Monitoring and Resilient Sustainable Energy Management of Ships in Port Areas”  Renewable and Sustainable Energy Reviews, 2025. (SCI) https://doi.org/10.1016/j.rser.2025.115843
  5. D. Joshi, D. Deb, A. K. Giri, and M. Elsisi, “Sensorless active disturbance rejection hybrid control with adaptive sliding mode observer for BLDC motor drives,” IEEE Transactions on Power Electronics, vol. 40, no. 12, pp. 17832–17843, 2025 (SCI) https://doi.org/10.1109/TPEL.2025.3594144
  6. M. Elsisi*, S. Bergies “A Robust IoT Architecture for Smart Inverters in Microgrids Using Hybrid Deep Learning and Signal Processing against Adversarial Attacks” Internet of Things, 2025, (SCI)  https://doi.org/10.1016/j.iot.2025.101576
  7. M. Elsisi*, M. Amer, M. N. Ali, and C.-L. Su, “A resilient IoT-enabled framework using hybrid decision tree and wavelet transform for secure and sustainable photovoltaic energy management,” Sustainable Computing: Informatics and Systems, vol. 48, no. 101221, p. 101221, 2025. (SCI) https://doi.org/10.1016/j.suscom.2025.101221
  8. C.-M. Yang, C.-L. Su, and M. Elsisi*, “A comprehensive review of blockchain and machine learning integration for cybersecurity in microgrids,” PeerJ Computer Science, vol. 11, no. e3237, p. e3237, 2025. (SCI) https://doi.org/10.7717/peerj-cs.3237
  9. E. Moradi, M. Elsisi*, K. Mahmoud, M. Lehtonen, M.M.F. Darwish‏, “Robust deep neural network-based internet of things for power transformer fault diagnosis under imbalanced data and uncertainties‏,” International Journal of Electrical Power & Energy Systems, 2025. (SCI) https://doi.org/10.1016/j.ijepes.2025.110731
  10. S. H. Rouhani, C. -L. Su, S. Mobayen, M. E. Shayan, M. H. Khooban and M. Elsisi, "Barrier-Function Adaptive Finite-Time Trajectory Tracking Controls for Cyber Resilience in Smart Grids Under an Electricity Market Environment,"  IEEE Transactions on Smart Grid, 2024, (SCI) https://doi.org/10.1109/TSG.2024.3417704
  11. Z. Ali , Hussain, T., Su, C. L., Khan, I., Jurcut, A. D., Tsao, S. H., M. Elsisi "Deep Learning-Driven Cyber Attack Detection Framework in DC Shipboard Microgrids System for Enhancing Maritime Transportation Security," IEEE Transactions on Intelligent Transportation Systems,2025, (SCI)  https://doi.org/10.1109/TITS.2025.3589188 
  12. Z. Ali, Hussain, T., Su, C. L., Parise, G., Sayler, K., Sadiq, M., M. Elsisi "A Novel Hybrid Signal Processing Based Deep Learning Method for Cyber-Physical Resilient Harbor Integrated Shipboard Microgrids,"  IEEE Transactions on Industry Applications, 2025, (SCI) https://doi.org/10.1109/TIA.2025.3590339
  13. C. -M. Yang, P. -M. Huang, C. -L. Su and M. Elsisi*, "A New Hybrid Wavelet Transform-Deep Learning for Smart Resilient Inverters in Microgrids Against Cyberattacks," in IEEE Access, vol. 13, pp. 134917-134929, 2025, (SCI) https://doi.org/10.1109/ACCESS.2025.3594216
  14. S. Bergies, T. M. Aljohani, S.-F. Su, and M. Elsisi*, "An IoT-Based Deep-Learning Architecture to Secure Automated Electric Vehicles Against Cyberattacks and Data Loss " IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2024, (SCI) https://doi.org/10.1109/TSMC.2024.3409314
  15. M. Elsisi*, A. L. Rusidi, M. -Q. Tran, C. -L. Su and M. N. Ali, "Robust Indoor Positioning of Automated Guided Vehicles in Internet of Things Networks with Deep Convolution Neural Network Considering Adversarial Attacks," IEEE Transactions on Vehicular Technology, 2024, (SCI) https://doi.org/10.1109/TVT.2024.3357780
  16. Ali, Z., Hussain, T., Su, C.-L., Sadiq, M., Jurcut, A. D., Tsao, S.-H., Lin, P.-C., Terriche, Y., & M. Elsisi “A new paradigm for adaptive cyber-resilience of DC shipboard microgrids using hybrid signal processing with deep learning method,” IEEE Transactions on Transportation Electrification, 2024, (SCI) https://doi.org/10.1109/TTE.2024.3459856
  17. M. Elsisi, Jin-Ting Yu, Chun-Che Lai, Chun-Lien Su*, “A Drone-Assisted Deep Learning based IoT System for Monitoring Ship Emissions in Ports Considering Adversarial Attacks,” IEEE Transactions on Instrumentation and Measurement, 2024, (SCI) https://doi.org/10.1109/TIM.2024.3374306
  18. M. Elsisi, C. -L. Su*, and Mahmoud N. Ali “Design of Reliable IoT Systems With Deep Learning to Support Resilient Demand Side Management in Smart Grids Against Adversarial Attacks‏” IEEE Transactions on Industry Applications, vol. 60, no. 2, pp. 2095-2106, March-April 2024‏, (SCI) https://doi.org/10.1109/TIA.2023.3297089
  19. S. Bergies, C. -L. Su and M. Elsisi*, "New Design of Robust Model Predictive Control for Wind Power System Using Frequency Domain Bands and Dandelion-Optimizer," IEEE Transactions on Reliability, 2024. (SCI) https://doi.org/10.1109/TR.2024.3488122
  20. M. Elsisi*, “Optimal design of adaptive model predictive control based on improved GWO for autonomous vehicle considering system vision uncertainty” Applied Soft Computing, 2024, (SCI) https://doi.org/10.1016/j.asoc.2024.111581
  21. Rouhani, S. H., Su, C. L., Mobayen, S., Razmjooy, N., & M. Elsisi "Cyber resilience in renewable microgrids: A review of standards, challenges, and solutions." Energy (2024): 133081.‏ (SCI) https://doi.org/10.1016/j.energy.2024.133081
  22. J. Masri, M. Amer, S. Salman, M. Ismail, and M. Elsisi*, “A survey of modern vehicle noise, vibration, and harshness: A state-of-the-art,” Ain Shams Engineering Journal, vol. 15, no. 10, p. 102957, 2024. (SCI) https://doi.org/10.1016/j.asej.2024.102957
  23. Zulfiqar Ali, Chun-Lien Su, Yacine Terriche, Seyed Hossein Rouhani, Le Quang Nhat Hoang, Muhammad Sadiq, Shao-Hang Tsao, Syed Zagam Abbas, Ejaz Ahmad, M. Elsisi “Cyber resilience in shipboard microgrids: adaptive hybrid artificial intelligent methods and systematic review.” Neural Computing and Applications, 2025 (SCI) https://doi.org/10.1007/s00521-025-11090-z
  24. Mohamed El-Sayed M Essa, Mohammed Fouad Ali, Elwy E El-kholy, Mohammed Amer, M. Elsisi*, Uzair Sajjad, Khalid Hamid, Hilmy El-sayed Awad “Improving Micro-Grid Management: A Review of Integration of Supercapacitor across Different Operating Modes” Heliyon, 2025‏. (SCI) https://doi.org/10.1016/j.heliyon.2025.e42178
  25. M. Elsisi*, M. Altius, S. -F. Su and C. -L. Su, "Robust Kalman Filter for Position Estimation of Automated Guided Vehicles Under Cyberattacks," IEEE Transactions on Instrumentation and Measurement, vol. 72, pp. 1-12, 2023, (SCI) https://doi.org/10.1109/TIM.2023.3250285 
  26. Mahmoud N. Ali,  Mohammed Amer, M. Elsisi* “Reliable IoT Paradigm with Ensemble Machine Learning for Faults Diagnosis of Power Transformers Considering Adversarial Attacks” IEEE Transactions on Instrumentation and Measurement, 2023, (SCI) https://doi.org/10.1109/TIM.2023.3300444
  27. M. Elsisi*, Mohammed Amer, Alya’ Dababat, Chun-Lien Su, “A comprehensive review of machine learning and IoT solutions for demand side energy management, conservation, and resilient operation,” Energy, 2023. (SCI) https://doi.org/10.1016/j.energy.2023.128256  
  28. M. Elsisi*, “Improved grey wolf optimizer based on opposition and quasi learning approaches for optimization: case study autonomous vehicle including vision system,” Artificial Intelligence Review, 2022. (SCI) https://doi.org/10.1007/s10462-022-10137-0
  29. M. Elsisi*, “New design of adaptive model predictive control for energy conversion system with wind torque effect” Journal of Cleaner Production, vol. 240, pp. 1-8, 2019. (SCI) https://doi.org/10.1016/j.jclepro.2019.118265
  30. M. Elsisi*, M. Soliman, M. A. S. Aboelela, and W. Mansour, “Optimal design of model predictive control with superconducting magnetic energy storage for load frequency control of nonlinear hydrothermal power system using bat inspired algorithm,” Journal of Energy Storage, vol. 12, pp. 311318, 2017. (SCI) https://doi.org/10.1016/j.est.2017.05.009.
  31. M. Elsisi*, N. Bazmohammadi, J. M. Guerrero, M. A. Ebrahim, “Energy Management of Controllable Loads in Multi-Area Power Systems with Wind Power Penetration based on New Supervisor Fuzzy Nonlinear Sliding Mode Control,” Energy, 119867, 2021. (SCI) https://doi.org/10.1016/j.energy.2021.119867 
  32. M. Elsisi*, M. Soliman, “Optimal design of robust resilient automatic voltage regulators,” ISA Transactions, 108 (2021): 257-268. (SCI) https://doi.org/10.1016/j.isatra.2020.09.003
  33. M. Q. Tran*, M. K. Liu, M. Elsisi, “Effective multi-sensor data fusion for chatter detection in milling process,” ISA transactions (2022).‏ (SCI) https://doi.org/10.1016/j.isatra.2021.07.005
  34. M. Elsisi*, M. A. Ebrahim, “Optimal design of low computational burden model predictive control based on SSDA towards autonomous vehicle under vision dynamics,” International Journal of Intelligent Systems 36.11 (2021): 6968-6987.‏ (SCI) https://doi.org/10.1002/int.22576
  35. M. Elsisi*, “Optimal Design of Nonlinear Model Predictive Controller based on New Modified Multi-Tracker Optimization Algorithm,” International Journal of Intelligent Systems, 35.11 (2020): 1857-1878. (SCI) https://doi.org/10.1002/int.22275
  36. Abderrazak Arabi, Mouloud Ayad, Nacerdine Bourouba, Mourad Benziane, Issam Griche, Sherif S.M. Ghoneim, Enas Ali, M. Elsisi*, Ramy N.R. Ghaly, “An efficient method for faults diagnosis in analog circuits based on machine learning classifiers.” Alexandria Engineering Journal 77 (2023): 109-125.‏ (SCI) https://doi.org/10.1016/j.aej.2023.06.090
  37. M. Elsisi*, “Design of neural network predictive controller based on imperialist competitive algorithm for automatic voltage regulator,” Neural Computing and Applications, vol. 31, no. 1, pp. 5017–5027, 2019. (SCI) https://doi.org/10.1007/s00521-018-03995-9
  38. M.-Q. Tran, M. Amer, A. Dababat, A. Abdelaziz, H.-J. Dai, M.-K. Liu, M. Elsisi*, “Robust fault recognition and correction scheme for induction motors using an effective IoT with deep learning approach,” Measurement, 2023. (SCI) https://doi.org/10.1016/j.measurement.2022.112398
  39. M. Elsisi, M. Q. Tran*, K. Mahmoud, D. A. Mansour, M. Lehtonen, M. M. F. Darwish, “Effective IoT-based Deep Learning Platform for Online Fault Diagnosis of Power Transformers Against Cyberattack and Data Uncertainties,” Measurement, 2022. (SCI) https://doi.org/10.1016/j.measurement.2021.110686
  40. M. Q. Tran*, M. Elsisi, M. K. Liu, “Effective feature selection with fuzzy entropy and similarity classifier for chatter vibration diagnosis,” Measurement 184 (2021): 109962.‏ (SCI) https://doi.org/10.1016/j.measurement.2021.109962
  41. M. Elsisi* and M. E.-S. M. Essa, “Improved bald eagle search algorithm with dimension learning-based hunting for autonomous vehicle including vision dynamics,” Applied Intelligence, 2022. (SCI) https://doi.org/10.1007/s10489-022-04059-1
  42. M. N. Ali, M. Soliman, M. A. Ebrahim, and M. Elsisi *, “D-decomposition-based multi-objective robust resilient control for blade pitch of wind energy conversion system,” International Journal of Electrical Power & Energy Systems, vol. 146, no. 108781, p. 108781, 2023. (SCI) https://doi.org/10.1016/j.ijepes.2022.108781
  43. M. Elsisi*, M. Soliman, M. A. S. Aboelela, and W. Mansour, “Bat inspired algorithm based optimal design of model predictive load frequency control,” International Journal of Electrical Power & Energy Systems, vol. 83, pp. 426-433, 2016. (SCI) https://doi.org/10.1016/j.ijepes.2016.04.036
  44. M. Elsisi*, “New design of robust PID controller based on meta‐heuristic algorithms for wind energy conversion system” Wind Energy, vol. 23, no. 2, pp. 1-13, 2019. (SCI) https://doi.org/10.1002/we.2439
  45. Wadie, F., M. Elsisi & Eliyan, T. “New multi-injection commutation topology for circuit breakers of HVDC transmission lines” Scientific Reports 14, 3468 (2024). (SCI) https://doi.org/10.1038/s41598-024-53832-4
  46. Reddaf, A., Boudjerda, M., Bouchachi, I., Babes, B., Elrashidi, A., AboRas, K. M., ... & M. Elsisi* “Modeling of Schottky diode and optimal matching circuit design for low power RF energy harvesting” Heliyon, (10), 2024‏. (SCI) https://doi.org/10.1016/j.heliyon.2024.e27792
  47. Sahu, P. R., Simhadri, K., Mohanty, B., Hota, P. K., Abdelaziz, A. Y., Albalawi, F., ... & M. Elsisi*  “Effective Load Frequency Control of Power System with Two-Degree Freedom Tilt-Integral-Derivative Based on Whale Optimization Algorithm” Sustainability, 15(2), 1515, 2023.‏ (SCI) https://doi.org/10.3390/su15021515
  48. Agajie, T.F.; Fopah-Lele, A.; Ali, A.; Amoussou, I.; Khan, B.; M. Elsisi; Mahela, O.P.; Álvarez, R.M.; Tanyi, E  “Optimal Sizing and Power System Control of Hybrid Solar PV-Biogas Generator with Energy Storage System Power Plant” Sustainability, 2023, 15, 5739.‏ (SCI) https://doi.org/10.3390/su15075739  
  49. Agajie, T. F., Fopah-Lele, A., Ali, A., Amoussou, I., Khan, B., M. Elsisi, ... & Tanyi, E. “Integration of superconducting magnetic energy storage for fast-response storage in a hybrid solar pv-biogas with pumped-hydro energy storage power plant” Sustainability, 2023, 15(13), 10736.‏ (SCI) https://doi.org/10.3390/su151310736
  50. M. Elsisi*, M. Q. Tran, “Development of an IoT Architecture Based on a Deep Neural Network against Cyber Attacks for Automated Guided Vehicles,” Sensors 2021, 21, 8467. (SCI) https://doi.org/10.3390/s21248467
  51. M. Elsisi, M. Q. Tran, K. Mahmoud, M. Lehtonen, M. M. F. Darwish*, “Deep Learning-Based Industry 4.0 and Internet of Things towards Effective Energy Management for Smart Buildings,” Sensors, vol. 21, no. 4, 2021. (SCI) https://doi.org/10.3390/s21041038
  52. M. Elsisi, K. Mahmoud, M. Lehtonen, M. M. F. Darwish*, “Reliable Industry 4.0 Based on Machine Learning and IoT for Analyzing, Monitoring, and Securing Smart Meters” Sensors, vol. 21, no. 2, 2021. (SCI) https://doi.org/10.3390/s21020487
  53. T. Eliyan, M. Elsisi*, M. L. Alghaythi, M. S. Alshammari and F. Wadie, "Parameterization of Circuit Breakers for HVDC Transmission Line between Egypt and the Kingdom of Saudi Arabia towards Restriking Voltage," in IEEE Access, 2024 (SCI) https://doi.org/10.1109/ACCESS.2024.3360132
  54. M. Elsisi, M. Q. Tran, K. Mahmoud, M. Lehtonen, M. M. F. Darwish*, “Robust Design of ANFIS Based Blade Pitch Controller for Wind Energy Conversion Systems Against Wind Speed Fluctuations,” IEEE Access, 2021. (SCI) https://doi.org/10.1109/ACCESS.2021.3063053
  55. M. Elsisi, M. Q. Tran, K. Mahmoud, D. A. Mansour, M. Lehtonen, M. M. F. Darwish*, “Towards Secured Online Monitoring for Digitalized GIS Against Cyber-Attacks Based on IoT and Machine Learning,” IEEE Access, 2021. (SCI) https://doi.org/10.1109/access.2021.3083499
  56. M. Q. Tran, M. Elsisi, M. K. Liu, Viet Q. Vu, K. Mahmoud, M. M. F. Darwish*, Almoataz Y. Abdelaziz, M. Lehtonen, “Reliable Deep Learning and IoT-based Monitoring System for Secure Computer Numerical Control Machines Against Cyber-Attacks with Experimental Verification” IEEE Access, 2022. (SCI) https://doi.org/10.1109/access.2022.3153471
  57. M. Q. Tran, M. Elsisi, K. Mahmoud, M. K. Liu, M. Lehtonen, M. M. F. Darwish*, “Experimental setup for online fault diagnosis of induction machines via promising IoT and machine learning: Towards industry 4.0 empowerment,” IEEE Access 9 (2021): 115429-115441.‏ (SCI) https://doi.org/10.1109/ACCESS.2021.3105297
  58. M. Elsisi, K. Mahmoud, M. Lehtonen, M. M. F. Darwish*, “Effective Nonlinear Model Predictive Control Scheme Tuned by Improved NN for Robotic Manipulators,” IEEE Access, 2021. (SCI) https://doi.org/10.1109/access.2021.3075581
  59. M. Elsisi, K. Mahmoud, M. Lehtonen, M. M. F. Darwish*, “An Improved Neural Network Algorithm to Efficiently Track Various Trajectories ofRobot Manipulator Arms,” IEEE Access, 2021. (SCI) https://doi.org/10.1109/access.2021.3051807
  60. M. A. E. Mohamed, S. M. R. Mohamed, E. M. M. Saied, M. Elsisi, C.-L. Su, and H. A. Hadi, “Optimal energy management solutions using artificial intelligence techniques for photovoltaic empowered water desalination plants under cost function uncertainties,” IEEE Access, vol. 10, pp. 93646–93658, 2022. (SCI) https://doi.org/10.1109/access.2022.3203692
  61. Venkatachala Appa Swamy, M.; Periyasamy, J.; Thangavel, M.; Khan, S.B.; Almusharraf, A.; Santhanam, P.; Ramaraj, V., M. Elsisi, “Design and Development of IoT and Deep Ensemble Learning Based Model for Disease Monitoring and Prediction,” Diagnostics, 2023, 13, 1942. (SCI) https://doi.org/10.3390/diagnostics13111942
  62. Chen C-J, Su C-L*, Teng J-H, M. Elsisi “Feeder Losses Analysis of Marine Vessel Power Systems: A Case Study of Container Ship Power Loss Analysis Using Newton–Raphson Method,” Energies. 2022; 15(23):9175. (SCI, Impact Factor= 3.2, Q3) https://doi.org/10.3390/en15239175
  63. Cheng, W. S., Chen, G. Y., Shih, X. Y., M. Elsisi, Tsai, M. H., & H. J. Dai*, “Vickers hardness value test via multi-task learning convolutional neural networks and image augmentation,” Applied Sciences, 2022, 12(21), 10820.‏ (SCI) https://doi.org/10.3390/app122110820
  64. Sakkarvarthi, G., Sathianesan, G. W., Murugan, V. S., Reddy, A. J., Jayagopal, P., & M. Elsisi*, “Detection and Classification of Tomato Crop Disease Using Convolutional Neural Network. Electronics, 2022, 11(21), 3618.‏ (SCI) https://doi.org/10.3390/electronics11213618
  65. Essa, M.E.-S.M.; Lotfy, J.V.W.; Abd-Elwahed, M.E.K.; Rabie, K.; ElHalawany, B.M.& M. Elsisi*, “Low-Cost Hardware in the Loop for Intelligent Neural Predictive Control of Hybrid Electric Vehicle. Electronics, 2023, 12(4), 971(SCI) https://doi.org/10.3390/electronics12040971
  66. M. Elsisi*, H. Abdelfattah ,“New design of variable structure control based on lightning search algorithm for nuclear reactor power system considering load- following operation” Nuclear Engineering and Technology, vol. 52, no. 3, pp. 544- 551, 2019. (SCI) https://doi.org/10.1016/j.net.2019.08.003
  67. M. Elsisi*, “Future search algorithm for optimization,” Evolutionary Intelligence, vol. 12, no. 1, pp. 21–31, 2019. (SCI) https://doi.org/10.1007/s12065-018-0172-2
  68. M. Elsisi*, M. Soliman, M. A. S. Aboelela, and W. Mansour, “Model Predictive Control of Plug-in Hybrid Electric Vehicles for Frequency Regulation in a Smart Grid,” IET Generation, Transmission & Distribution, vol. 11, no. 16, pp. 3974- 3983, 2017. (SCI) https://doi.org/10.1049/iet-gtd.2016.2120
  69. M. Elsisi, M. Q. Tran, H. M. Hasanien, R. A. Turky, F. Albalawi, S. S. Ghoneim*, “Robust Model Predictive Control Paradigm for Automatic Voltage Regulators against Uncertainty Based on Optimization Algorithms,” Mathematics 9.22 (2021): 2885.‏ (SCI) https://doi.org/10.3390/math9222885
  70. M. Elsisi, H. G. Zaini, K. Mahmoud, S. Bergies, S. S. Ghoneim*, “Improvement of Trajectory Tracking by Robot Manipulator Based on a New Co-Operative Optimization Algorithm,” Mathematics 9 (2021): 3231.‏ (SCI, Impact Factor= 2.2, Q1) https://doi.org/10.3390/math9243231
  71. S. Bergies, S.-F. Su, and M. Elsisi*, “Model predictive paradigm with low computational burden based on dandelion optimizer for autonomous vehicle considering vision system uncertainty,” Mathematics, vol. 10, no. 23, p. 4539, 2022. (SCI) https://doi.org/10.3390/math10234539
  72. M. Sadiq, C.A. Aragon, Y. Terriche, S.W. Ali, C.-L. Su, Ľ. Buzna, M. Elsisi, C.-H. Lee, “Continuous-control-set model predictive control for three-level DC–DC converter with unbalanced loads in bipolar electric vehicle charging stations,” Mathematics, vol. 10, no. 19, p. 3444, 2022. (SCI) https://doi.org/10.3390/math10193444
  73. Sinha, P., Paul, K., Saiprakash, C., Abdelaziz, A. Y., Omar, A. I., Su, C. L., & M. Elsisi, “Identification of Cross-Country Fault with High Impedance Syndrome in Transmission Line Using Tunable Q Wavelet Transform” Mathematics, 2023. 11(3), 586.‏ (SCI) https://doi.org/10.3390/math11030586
  74. Mazloumi, A., Poolad, A., Mokhtari, M. S., Altman, M. B., Abdelaziz, A. Y., & M. Elsisi*,  “Optimal Sizing of a Photovoltaic Pumping System Integrated with Water Storage Tank Considering Cost/Reliability Assessment Using Enhanced Artificial Rabbits Optimization: A Case Study” Mathematics, 2023, 11(2), 463.‏ (SCI) https://doi.org/10.3390/math11020463
  75. Ali, S. W., Verma, A. K., Terriche, Y., Sadiq, M., Su, C. L., Lee, C. H., & M. Elsisi,  “Finite-Control-Set Model Predictive Control for Low-Voltage-Ride-Through Enhancement of PMSG Based Wind Energy Grid Connection Systems,” Mathematics, 2022, 10(22), 4266.‏ (SCI) https://doi.org/10.3390/math10224266
  76. Essa, M. E. S. M., M. Elsisi*, Saleh Elsayed, M., Fawzy Ahmed, M., & Elshafeey, A. M. “ An Improvement of Model Predictive for Aircraft Longitudinal Flight Control Based on Intelligent Technique,” Mathematics, 2022, 10(19), 3510.‏ (SCI) https://doi.org/10.3390/math10193510
  77. Tran, M. Q., M. Elsisi* , Vu, V. Q., Albalawi, F., & Ghoneim, S. S. “Effective Optimization Based on Equilibrium Optimizer for Dynamic Cutting Force Coefficients of the End-Milling Process,” Mathematics, 2022, 10(18), 3287.‏ (SCI) https://doi.org/10.3390/math10183287
  78. M. Elsisi*, “Optimal Design of Non-fragile PID Controller” Asian Journal of Control, pp. 1-10, 2019. (SCI) https://doi.org/10.1002/asjc.2248
  79. M. Elsisi*, “New variable structure control based on different meta‐heuristics algorithms for frequency regulation considering nonlinearities effects” International Transactions on Electrical Energy Systems, 30.7 (2020): e12428. (SCI) https://doi.org/10.1002/2050-7038.12428
  80. Mohamed, N., Almazrouei, S. K., Oubelaid, A., M. Elsisi* , ElHalawany, B. M., & Ghoneim, S. S., “ Air-Gapped Networks: Exfiltration without Privilege Escalation for Military and Police Units” Wireless Communications and Mobile Computing, 2022.‏ (SCI) https://doi.org/10.1155/2022/4697494
  81. M. Elsisi*, M. Soliman, M. A. S. Aboelela, and W. Mansour, “Improving the grid frequency by optimal design of model predictive control with energy storage devices,” Optimal Control Applications and Methods, vol. 39, no. 1, pp. 263–280, 2017. (SCI) https://doi.org/10.1002/oca.2346
  82. M. Elsisi*,M. A. S. Aboelela, M. Soliman, and W. Mansour, “Design of Optimal Model Predictive Controller for LFC of Nonlinear Multi-area Power System with Energy Storage Devices,” Electric Power Components and Systems, vol. 46, no. 11-12, pp. 1300-1311, 2019. (SCI) https://doi.org/10.1080/15325008.2018.1469056
  83. Vu, V. Q., Tran, M. Q., Amer, M., Khatiwada, M., Ghoneim, S. S., & M. Elsisi*, "A practical hybrid IoT architecture with deep learning technique for healthcare and security applications." Information 14.7 (2023): 379.‏  https://doi.org/10.3390/info14070379
  84. M. M. Ismail*, A. F. Bendary, M. Elsisi, “Optimal design of battery charge management controller for hybrid system PV/wind cell with storage battery” International Journal of Power and Energy Conversion, vol. 11, no. 4, pp. 412- 429, 2020. https://dx.doi.org/10.1504/IJPEC.2020.10027810

 

Conferences Papers

  1. M. Elsisi, J. -T. Yu, S. H. Rouhani, C. -Y. Han and C. -L. Su, "A New IoT Architecture with Ensemble Machine Learning for Harmonic Monitoring in Grid-Tied Offshore Wind Power Plants," 2025 IEEE Industry Applications Society Annual Meeting (IAS), Taipei, Taiwan, 2025, pp. 1-7, https://doi.org/10.1109/IAS62731.2025.11061567
  2. C. -M. Yang, P. -M. Huang, C. -L. Su and M. Elsisi*, "Deep Reinforcement Learning based Smart Inverters in Microgrids with Electric Vehicle Charging Systems Considering False Data Injection Attacks Detection," 2025 IEEE Industry Applications Society Annual Meeting (IAS), Taipei, Taiwan, 2025, pp. 1-6. https://doi.org/10.1109/IAS62731.2025.11061545
  3. J. -T. Yu, C. -L. Su, M. A. Sepestanaki, S. Hossein Rouhani, M. Elsisi and G. Parise, "Short-Circuit Current Analysis for DC Shipboard Microgrids," 2025 IEEE Industry Applications Society Annual Meeting (IAS), Taipei, Taiwan, 2025, pp. 1-7, https://doi.org/10.1109/IAS62731.2025.11061630
  4. C. -Y. Han,  Yu, J. T., Hu, C. H., Rouhani, S. H., Su, C. L., Ke, C. Y., & M. Elsisi"Abnormal Harmonic Source Location and Identification in Offshore Wind Farms Grid Connection Using Random Forest Algorithm Considering Adversarial Attack," 2025 IEEE Industry Applications Society Annual Meeting (IAS), Taipei, Taiwan, 2025, pp. 1-7, https://doi.org/10.1109/IAS62731.2025.11061535
  5. Z. Ali, Y. Terriche, C. -L. Su, G. Parise, S. S. S. Ahmad and M. Elsisi, "Distributed Resilient Control for Inverter Based Resources in Shore-Ship Cyber-Physical Microgrids," 2025 IEEE/IAS 61st Industrial and Commercial Power Systems Technical Conference (I&CPS), Montreal, QC, Canada, 2025, pp. 1-7, https://doi.org/10.1109/ICPS64254.2025.11030366
  6. S. Shahbazuddin, A. Q. H. Badar, C. -M. Yang and M. Elsisi, "Enhancing Power System Inertia Estimation through Advanced Neural Networks," 2025 IEEE Industry Applications Society Annual Meeting (IAS), Taipei, Taiwan, 2025, pp. 1-8, https://doi.org/10.1109/IAS62731.2025.11061418
  7. M. Elsisi, C. -L. Su, C. -H. Lin and T. -T. Ku, "Enhancing Resilient Operation of Distributed Energy Resources Using Reliable Machine Learning-based IoT Connectivity," 2024 IEEE/IAS 60th Industrial and Commercial Power Systems Technical Conference (I&CPS), Las Vegas, NV, USA, 2024. https://doi.org/10.1109/ICPS60943.2024.10563334
  8. Jin-Ting Yu, Chun-Lien Su, Seyed Hossein Rouhani, Muhammad Sadiq, M. Elsisi “Allocation of Harmonic Voltage Limits for Offshore Wind Power Plants Grid Connection Impact Study‏”  2023 IEEE/IAS 59th Industrial and Commercial Power Systems Technical Conference (I&CPS), Las Vegas, NV, USA.                                         https://doi.org/10.1109/ICPS57144.2023.10142137  
  9. Harun Ismail; Bambang Sujanarko; Satrio Budi Utomo; Nien-Che Yang; M. Elsisi; Syam Widiyanto; Avip Zain Haq “Non-Intrusive Load Monitoring Based on Advanced-Boosting Algorithm” 2022 International Conference on Electrical Engineering, Computer and Information Technology (ICEECIT). https://doi.org/10.1109/ICEECIT55908.2022.10030672  
  10. M. Elsisi*, “Monitoring the Ship Emission Based on Internet of Things Considering Cyberattacks,” 5th International Harran Congress on Scientific Research held on December 8-10, 2023 / Şanlıurfa, Turkey
  11. M. Elsisi* “Reliable deep learning- based IoT for online monitoring of smart inverters in energy conversion systems”11th International Mardin Artuklu Scientific Researches Conference, December 13-15, 2023 / Mardin, Turkey
  12. M. Elsisi*, “Reliable industrial internet of things architecture for automated guided vehicles against data loss,” 13th International Conference On Engineering & Natural Sciences (ISPEC 2022), Burdur, Turkey
  13. M. Q. Tran, M. Elsisi, “Effective Optimization Based on Equilibrium Optimizer for Dynamic Cutting Force Coefficients of End-milling Process” International Conference on Precision Engineering and Sustainable Manufacturing (PRESM 2022), Jeju, S. Korea.
  14. M. Elsisi*, “Artificial intelligence based robust model predictive control for autonomous vehicle including vision dynamics,” The 2021 International Automatic Control Conference (CACS 2021), Taiwan
  15. M. Elsisi*, M. Q. Tran, “Secured IoT Architecture based on Deep Learning for Online Monitoring of AGV” The 9th International conference on Advanced Robotics and Intelligent Systems(ARIS 2021), Taipei, Taiwan
  16. M. Q. Tran*, M. Elsisi, M. K. Liu, and V. S. Nguyen “Industry 4.0 Based on Reliable IoT Architecture and Machine Learning for Online Fault Diagnosis of Induction Machines” The 9th International conference on Advanced Robotics and Intelligent Systems(ARIS 2021), Taipei, Taiwan
  17. M. Elsisi, Minh-Quang Tran*, Vu Thi Lien, Nguyen Thi Thanh Nga “Adaptive Energy Management in Microgrid based on New Training Strategy for ANFIS” ICERA2021 (4th International Conference on Engineering and Research Application), 2021, Vietnam.
  18. M. Elsisi*, “Model Predictive Control with Laguerre Function based on Social Ski Driver Algorithm for Autonomous Vehicle,” The 8th International Conference on Advanced Robotics and Intelligent Systems (ARIS 2020), Taipei, Taiwan
  19. M. Elsisi, M. A. S. Aboelela*, M. Soliman, and W. Mansour, “New Smart Supervisor Controller design for Load Frequency Control of Multi-area Interconnected Power System” 6th international conference on advanced control circuits and systems (accs’019), 2019, Egypt.
  20. M. Elsisi*, “Optimal design of robot manipulator controller based on butterfly optimization algorithm for tracking linear and nonlinear trajectories” The 16th International Conference on Automation Technology (Automation 2019), November 22-24, 2019, Taipei, Taiwan (corresponding author: M. Elsisi)
  21. Chun-Ju Wu1, Yu-Cheng Kuo, M. Elsisi, and Chung-Hsien Kuo* “Virtual Reality Factory Connection System Based on Petri Net Visualization” The 16th International Conference on Automation Technology (Automation 2019),November 22-24, 2019, Taipei, Taiwan
  22. M Elsisi, M Soliman, W Mansour “Artificial Bee Colony Optimization of AGC in a Two-area Interconnected Power System” 16th International Middle‐East Power Systems Conference–MEPCON, 2014, Cairo, Egypt.

 

Books

  1. M. Elsisi, Noorman Rinanto, Chun-Lien Su “Maritime Infrastructure for Energy Management and Emission Reduction Using Digital Transformation” Springer Singapore, 2025.
  2. K. Vijay, S. Gnanavel, K. R. Sowmia, R. Vijayakumar, and M. Elsisi, “Industry 4.0: Linking with different technologies - IoT, big data, AR and VR, and blockchain,” in Emerging Technologies and Security in Cloud Computing, IGI Global, 2024, pp. 395–421.
  3. M. Elsisi, Minh-Quang Tran, Mohammed Amer,Viet Q. Vu, Mohamed M. F. Darwish, Karar Mahmoud, Diaa-Eldin A. Mansour, and Matti Lehtonen “Diagnosis of Power Components Amid the 4th Industrial Revolution” in Power Systems Amid the 4th Industrial Revolution , River Publishers, 2024, pp.59-90.
  4. P. Nancy, S. Gnanavel, V. Sudha, G. Deepika, and M. Elsisi, “Industry 4.0 in manufacturing, communication, transportation, healthcare,” Artificial Intelligence‐Enabled Digital Twin for Smart Manufacturing. Wiley, pp. 19–38, 15-Oct-2024.
  5. Seyed Hossein Rouhani, Chun Lien Su, M. Elsisi, Saleh Mobayen “Enhancing Cyber-Physical Resiliency Based on Meta-heuristic Algorithms for Microgrids Against Malicious Cyber Attacks” Metaheuristics and Optimization in Computer and Electrical Engineering: Volume 2: Hybrid and Improved Algorithms, 2023, 367-379
  6. M. Elsisi*, “Control Mechanisms of Energy Storage Devices” intechopen, book chapter, 2019.
  7. Su, C. L., Rouhani, S. M. Elsisi, M., Ali, Z., Le Quang Nhat, H., & Sadiq, M. “Machine Learning and Internet-of-Things Solutions for Microgrid Resilient Operation.” In Microgrids and Virtual Power Plants (pp. 213-253). Singapore: Springer Nature Singapore, 2024.