Our Lecturers
Prof. Dr. Tallal Osama ElShabrawy
E-mail: Tallal.el-shabrawy@guc.edu.eg, Office: C3.319, Ext: 3613
Reserch Interests: LoRa Physical Layer Implementation over Software-Defined Radio; Capacity Analysis of LoRa Technology; Time-Difference-of-Arrival-Based IoT Localization over Software-Defined Radio Testbed; Sports Analytics using IoT and Machine Learning; ORAN 6G Networks;
Key Publications:
Book Chapter:
[1].M. El-Aasser, M. Ashour, and T. Elshabrawy, “LoRa Wide Area Network Pragmatic heterogeneous IOT applications, deployment using different spreading factors,” in Design and Construction of Smart Cities, I. El Dimeery, M. Baraka, S. M. Ahmed, A. Akhnoukh, M. B. Anwar, M. El Khafif, N. Hanna, and A. T.Abdel Hamid, Eds.Cham: Springer International Publishing, 2021, pp. 327–338.
Top Publications:
[1]. S. M. Azzam, T. Elshabrawy and M. Ashour, "A Bi-level Framework for Supply and Demand Side Energy Management in an Islanded Microgrid.” IEEE Transactions on Industrial Informatics, accepted paper.
[2]. M. Zamzam, T. Elshabrawy and M. Ashour, "A Minimized Latency Collaborative Computation Offloading Game Under Mobile Edge Computing for Indoor Localization," in IEEE Access, vol. 9, pp. 133861-133874, 2021, doi: 10.1109/ACCESS.2021.3115157.
[3]. M. El-Aasser, P. Edward, M. Mandour, M. Ashour, T. Elshabrawy, ”A comprehensive hybrid bit-level and packet-level LoRa-LPWAN simulation model,” Internet of Things, Volume 14, June 2021, ISSN 2542-6605,https://doi.org/10.1016/j.iot.2021.100386.
[4]. T. Elshabrawy and J. Robert, "Interleaved Chirp Spreading LoRa-Based Modulation," in IEEE Internet of Things Journal, vol. 6, no. 2, pp. 3855-3863, April 2019.
[5]. T. Elshabrawy and J. Robert, "Closed-Form Approximation of LoRa Modulation BER Performance," in IEEE Communications Letters, vol. 22, no. 9, pp. 1778-1781, Sept. 2018.
Patents:
[1].Y. Lemiux, M. Ashour, and T. Elshabrawy, Quality of Service (QoS) mechanism in an Internet protocol (IP) network, US6968374 B2, Nov. 2005
Google Scholar Profile:
Prof. Dr. Ahmed El-Mahdy
Email: ahmed.elmahdy@guc.edu.eg , Office:C3-321 , Ext.:3602
Reserch Interests: Wireless Communications, Digital Signal Processing, Digital Communications.
Key Publications:
[1] A. E. El-Mahdy and N. M. Namazi, "Classification of multiple M-ary frequency-shift keying signals over a Rayleigh fading channel," in IEEE Transactions on Communications, vol. 50, no. 6, pp. 967-974, June 2002, doi: 10.1109/TCOMM.2002.1010616.keywords: {Frequency shift keying;Fading;Pattern recognition;Demodulation;Signal processing;Low-frequency noise;Feature extraction;Testing;Pattern classification;Signal analysis}
[2] A. E. . -S. El-Mahdy, "Adaptive channel estimation and equalization for rapidly mobile communication channels," in IEEE Transactions on Communications, vol. 52, no. 7, pp. 1126-1135, July 2004, doi: 10.1109/TCOMM.2004.831391. keywords: {Channel estimation;Adaptive equalizers;Mobile communication;Maximum likelihood estimation;Viterbi algorithm;Fading;Convergence;Steady-state;Mean square error methods;Estimation error},
[4] El-Mahdy, Ahmed & Alexan, Wassim. (2017). A Comparative Study on the Performance of LLR- and SNR-Based Hybrid Relaying Schemes. Wireless Communications and Mobile Computing. 2017. 1-7. 10.1155/2017/4063792.
[5] O. Elkharbotly, E. Maher, A. El-Mahdy and F. Dressler, "Optimal Power Allocation in Cooperative MIMO-NOMA with FD/HD Relaying in THz Communications," 2020 9th IFIP International Conference on Performance Evaluation and Modeling in Wireless Networks (PEMWN), Berlin, Germany, 2020, pp. 1-6, doi: 10.23919/PEMWN50727.2020.9293074. keywords: {Resource management;Optimization;Interference;Signal to noise ratio;NOMA;Relays;MIMO communication},
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Prof. Dr. Hany Fathy Hammad
Email: hany.hammad@guc.edu.eg, Office:C3-322, Ext.:1144
Prof. Dr. Abdelmegid Allam
Email: abdelmegid.allam@guc.edu.eg, Office: C3.215 , Ext.: 3601
Reserch Interests: Radio Frequency Technology, Antenna Design and Implementation
Key Publications:
[1] Application of Pocklington's equation to analysis of dipole frequency-selective surfaces of finite size A Allam, EA Parker IEE Proceedings H (Microwaves, Antennas and Propagation) 134 (6), 521-526
[2] M. A. Shokry and A. M. M. A. Allam, "UWB antenna for brain stroke and brain tumour detection," 2016 21st International Conference on Microwave, Radar and Wireless Communications (MIKON), Krakow, Poland, 2016, pp. 1-3, doi: 10.1109/MIKON.2016.7491967. keywords: {Antenna measurements;Head;Tumors;Microwave antennas;Brain modeling;Microwave imaging;UWB pentagon antenna;Brain tumour;Brain stroke;CST Microwave Studio},
[3] P. k. Abbassi, N. M. Badra, A. M. M. A. Allam and A. El-Rafei, "WiFi Antenna Design and Modeling using Artificial Neural Networks," 2019 International Conference on Innovative Trends in Computer Engineering (ITCE), Aswan, Egypt, 2019, pp. 270-274, doi: 10.1109/ITCE.2019.8646616.keywords: {Artificial neural networks;Microstrip antennas;Microstrip;Antenna measurements;Wireless fidelity;Loss measurement;Artificial neural networks;Microstrip antenna;WiFi antenna},
[4] Triple-band circularly polarized slotted patch antenna for GPS and UMTS systems GB Abdelsayed, SI Shams, A Allam 2010 10th Mediterranean Microwave Symposium, 448-451
[5] Nakmouche, Mohammed Farouk & Allam, Abdemegeed & Fawzy, Diaa & Lin, Ding-Bing. (2021). Development of a High Gain FSS Reflector Backed Monopole Antenna Using Machine Learning for 5G Applications. Progress In Electromagnetics Research M. 105. 183-194. 10.2528/PIERM21083103.
Google Scholar Profile:
Visiting Prof. Dr. Mohamed Ehsan Ashour
Email: mohamed.ashour@guc.edu.eg, Office: C3.323
Key Publications:
[1] S. M. Azzam, T. Elshabrawy and M. Ashour, "A Bi-Level Framework for Supply and Demand Side Energy Management in an Islanded Microgrid," in IEEE Transactions on Industrial Informatics, vol. 19, no. 1, pp. 220-231, Jan. 2023, doi: 10.1109/TII.2022.3144154.
[2] M. Zamzam, T. Elshabrawy and M. Ashour, "A Minimized Latency Collaborative Computation Offloading Game Under Mobile Edge Computing for Indoor Localization," in IEEE Access, vol. 9, pp. 133861-133874, 2021, doi: 10.1109/ACCESS.2021.3115157.
[3] P. Edward, M. El-Aasser, M. Ashour and T. Elshabrawy, "Interleaved Chirp Spreading LoRa as a Parallel Network to Enhance LoRa Capacity," in IEEE Internet of Things Journal, vol. 8, no. 5, pp. 3864-3874, 1 March1, 2021, doi: 10.1109/JIOT.2020.3027100.
[4] T. Elshabrawy, E. Shereen, M. Ashour and J. Robert, "Report Success Probability/Battery Liftime Analysis of Dense IEEE 802.15.4-Based Metering Networks With Hidden Nodes," in IEEE Sensors Journal, vol. 17, no. 7, pp. 2259-2266, 1 April1, 2017, doi: 10.1109/JSEN.2017.2661879.
[5] Ashour, M., Le-Ngoc, T. End-to-end delay margin balancing approach for routing in multi-class networks. Wireless Netw 13, 311–322 (2007). https://doi.org/10.1007/s11276-006-7527-9
Google Scholar Profile:
https://scholar.google.com.eg/citationsuser=mh0AoswAAAAJ&hl=en&oi=ao
Prof. Dr. Frank Gunzer
Email: frank.funzer@guc.edu.eg
Prof. Dr. Mohamed Abdel Ghany
Email: mohamed.abdel-ghany@guc.edu.eg , Office: C3.313, Ext.: 3611
Reserch Interests: Network on chip design and related circuit level issues in high performance VLSI circuits, clock distribution network design, digital ASIC design, SoC/NoC design and verification, low-power design and embedded system design.
Key Publications:
[1] Massoud, Y. M., Ahmad, A. A., Mennatallah Abdelzaher, Kuhlmann, L., & Abd, M. A. (2023). Hardware implementation of deep neural network for seizure prediction. AEU - International Journal of Electronics and Communications, 172, 154961–154961. https://doi.org/10.1016/j.aeue.2023.154961
[2] Fouad, M., Ghany, M. A. A. E., & Schmitz, G. (2023). A Single-Shot Harmonic Imaging Approach Utilizing Deep Learning for Medical Ultrasound. IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, 70(3), 237–252. https://doi.org/10.1109/tuffc.2023.3234230
[3] Iskandar, V., Ghany, M. A. A. E., & Goehringer, D. (2022). Near-Memory Computing on FPGAs with 3D-stacked Memories: Applications, Architectures, and Optimizations. ACM Transactions on Reconfigurable Technology and Systems. https://doi.org/10.1145/3547658
[4] Ismail, K. A., & Ghany, M. A. A. E. (2021). Survey on Machine Learning Algorithms Enhancing the Functional Verification Process. Electronics, 10(21), 2688. https://doi.org/10.3390/electronics1021268
[5] Elhosary, H., Zakhari, M. H., Elgammal, M. A., Khaled, Abd, M. A., Salama, K. N., & Mostafa, H. (2021). Hardware Acceleration of High Sensitivity Power-Aware Epileptic Seizure Detection System Using Dynamic Partial Reconfiguration. IEEE Access, 9, 75071–75081. https://doi.org/10.1109/access.2021.3079155
Google Scholar Profile:
Associate Prof. Amr Talaat
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Associate Prof. Eman Azab
Email: eman.azab@guc.edu.eg , Office: C3.315, Ext.: 3604
Reserch Interests: Sensor technologies, IC design, and Industry 4.0.
Key Publications:
[1] W. Zaher, A. W. Youssef, L. A. Shihata, E. Azab and M. Mashaly, "Omnidirectional-Wheel Conveyor Path Planning and Sorting Using Reinforcement Learning Algorithms," in IEEE Access, vol. 10, pp. 27945-27959, 2022, doi: 10.1109/ACCESS.2022.3156924.
[2] Azab, Eman, Mohamed Nafea, Lamia A. Shihata, and Maggie Mashaly. 2021. "A Machine-Learning-Assisted Simulation Approach for Incorporating Predictive Maintenance in Dynamic Flow-Shop Scheduling" Applied Sciences 11, no. 24: 11725. https://doi.org/10.3390/app112411725
[3] Mohamed E. El-sayed, Arsany W. Youssef, Omar M. Shehata, Lamia A. Shihata, Eman Azab, Computer vision for package tracking on omnidirectional wheeled conveyor: Case study, Engineering Applications of Artificial Intelligence, Volume 116, 2022, 105438, ISSN 0952-1976, https://doi.org/10.1016/j.engappai.2022.105438.
[4] E. Soliman, K. Hofmann, H. Reeg, M. Schwickert, SENSOR STUDIES FOR DC CURRENT TRANSFORMER APPLICATION, Proceedings of IBIC2014, Monterey, CA, USA
[5] Nour Elshahawy, Sandy A. Wasif, Maggie Mashaly, Eman Azab, A Real-time P-SFA hardware implementation of Deep Neural Networks using FPGA, Microprocessors and Microsystems, Volume 106, 2024, 105037, ISSN 0141-9331, https://doi.org/10.1016/j.micpro.2024.105037.
Associate Prof. Dr. -Ing. Maggie Mashaly
Email: maggie.ezzat@guc.edu.eg, Office: C3.220, Ext.: 3615
Research Interests: Artificial Intelligence, Data Engineering & Analytics, Cloud Computing, Cybersecurity
Recent Awards, Grants, or Recognitions: World’s Top 2% Scientist in the field of AI.
Recent Publications:
[1] A. Abdelkhalek, M. Mashaly, “Addressing the class imbalance problem in network intrusion detection systems using data resampling and deep learning”, Journal Supercomputing (2023). https://doi.org/10.1007/s11227-023-05073-x
[2] M. A. Abu El Magd, N. Sharaf, M. Mashaly, (2023) “Industry 4.0 Smart Supply Chain Data Protection Using Block Chain”, Trends in Sustainable Smart Cities and Territories . SSCT 2023. Lecture Notes in Networks and Systems, vol 732. Springer, Cham. https://doi.org/10.1007/978-3-031-36957-5_17
[3] W. Zaher, A. W. Youssef, L. A. Shihata, E. Azab and M. Mashaly, "Omnidirectional-Wheel Conveyor Path Planning and Sorting Using Reinforcement Learning Algorithms," in IEEE Access, vol. 10, pp. 27945-27959, 2022, doi: 10.1109/ACCESS.2022.3156924
[4] M. Shammaa, M. Mashaly, A. El-Mahdy, “A deep learning-based adaptive receiver for full-duplex systems”, AEU - International Journal of Electronics and Communications, Volume 170, 2023, 154822, ISSN 1434-8411, https://doi.org/10.1016/j.aeue.2023.154822.
[5] M. Mashaly, “Connecting the Twins: A Review on Digital Twin Technology & its Networking Requirements”, Procedia Computer Science, volume 184, pp. 299-305, 2021.
Google Scholar Profile:
https://scholar.google.com/citations?user=_BXgty0AAAAJ&hl=en&oi=ao
Associate Prof. Wassim Alexan
Email: wassim.joseph@guc.edu.eg, Office: C3.213, Ext.: 3685
Research Interests: Digital Communications, Signal Processing, Image Encryption, Steganography, Fractional order
Recent Awards, Grants, or Recognitions: Listed in Stanford's list of the world's top 2% of scientists in 2024 and 2025
Recent Publications:
[2] W. Alexan, M. Gabr, E. Mamdouh, R. Elias and A. Aboshousha, "Color Image Cryptosystem Based on Sine Chaotic Map, 4D Chen Hyperchaotic Map of Fractional-Order and Hybrid DNA Coding," in IEEE Access, vol. 11, pp. 54928-54956, 2023, doi: 10.1109/ACCESS.2023.3282160. keywords: {Encryption;DNA;Security;Cryptography;Image coding;Logistics;Color;Chaos theory;Image processing;Chaos theory;chen hyperchaotic map;DNA coding;fractional-order;image cryptosystem;image encryption},
[3] W. Alexan, M. Elkandoz, M. Mashaly, E. Azab and A. Aboshousha, "Color Image Encryption Through Chaos and KAA Map," in IEEE Access, vol. 11, pp. 11541-11554, 2023, doi: 10.1109/ACCESS.2023.3242311. keywords: {Encryption;Logistics;Chaotic communication;Heuristic algorithms;Visualization;Generators;Fractals;Image processing;Cryptography;Chaos theory;image encryption;KAA map},
[4] Por, Yee & Ku, Chin & Alexan, Wassim. (2023). R3−Rescale, Rotate and Randomize: A Novel Image Cryptosystem Utilizing Chaotic and Hyperchaotic Systems. 10.13140/RG.2.2.15951.25765.
[5] W. Alexan et al., "AntEater: When Arnold’s Cat Meets Langton’s Ant to Encrypt Images," in IEEE Access, vol. 11, pp. 106249-106276, 2023, doi: 10.1109/ACCESS.2023.3319335. keywords: {Encryption;Security;Sensitivity;DNA;Visualization;Robustness;Chaotic communication;Image processing;Digital images;Arnold’s cat map;chaos theory;image cryptosystem;image encryption;Langton’s Ant;Mersenne Twister},
Research gate profile:
Associate Prof. Dr. Haitham Omran
Email: haitham.omran@guc.edu.eg , Office: C3.221 , Ext.: 3606
Research Interests: Semiconductor Lasers, Tunable Lasers, MOEM, SOCT
Key Publications:
[1] Radwa A Abbas, Yasser M Sabry, Haitham Omran, Zhihua Huang, Michael Zimmer, Michael Jetter, Peter Michler, Diaa Khalil, “Modelling and Experimental Characterization of Double Layer InP/AlGaInP Quantum Dot Laser”, Opt Quant Electron 56, 205 (2024). https://doi.org/10.1007/s11082-023-05276-9
[2] Y. I. Abdelhak, F. Kamel, M. Hafez, H. E. Kotb, Haitham Omran et al., "Radio optical network simulation tool (ronst)," Computers, Materials & Continua, vol. 71, no.2, pp. 3685–3702, 2022. https://doi.org/10.32604/cmc.2022.022470
[3] H. E. Kotb, Y. M. Sabry, M. S. Abdallah and Haitham Omran, "MEMS-SOA Spectrum-Sliced Auto-Equalized Source Enabling Uniformly Tunable Microwave Photonic Filter," in IEEE Photonics Technology Letters, vol. 33, no. 1, pp. 15-18, 1 Jan.1, 2021, https://doi.org/10.1109/LPT.2020.3041439
[4] Haitham Omran, Mohab Sameh, Ahmed Mahfouz, Omar Saad, Maram T. H. Abou Kana, Frédéric Marty, Diaa Khalil, Tarik Bourouina and Yasser M. Sabry, Visible Laser on Silicon Optofluidic Microcavity.", Advanced Materials Technologies 5.5 (2020): 1901132. https://doi.org/10.1002/admt.201901132
[5] John O. Gerguis, Yasser M. Sabry, Haitham Omran, and Diaa Khalil, "Spectroscopic Gas Sensing Based on a MEMS-SOA Swept Fiber Laser Source," J. Lightwave Technol. 37, 5354-5360 (2019). https://doi.org/10.1109/JLT.2019.2932688
https://scholar.google.com.eg/citations?user=a7IcMHAAAAAJ&hl=en&oi=ao
Dr. Dina Eldamak
Email: dina.eldamak@guc.edu.eg , Office: C3.216 , Ext.:
Reserch Interests: Energy-Efficient Circuits and Systems, energy harvesting, power management circuits, silicon photonics, image encryption, hardware for machine learning, ultra-low power data converters, ultra- low power biomedical devices, CMOS image sensors, high-speed serial links, and circuit design with emerging technologies.
Key Publications:
[1] Eyad Mamdouh, Wassim Alexan, Dina El-Damak, Fiby Ashraf and Mohamed Gabr, “Augmented Image Encryption via Moore’s Automaton and Jigsaw Transform,” IEEE PAnhellenic Conference on Electronics and Telecommunications, Thessaloniki, Greece, March, 2024.
[2] W. Alexan, D. El-Damak and M. Gabr, "Image Encryption Based on Fourier-DNA Coding for Hyperchaotic Chen System, Chen-Based Binary Quantization S-Box, and Variable-Base Modulo Operation," in IEEE Access, vol. 12, pp. 21092-21113, 2024, doi: 10.1109/ACCESS.2024.3363018.
[3] Mohamed Ahmed, Yousef Korayem, Mohamed Kamel Gabr, Wassim Alexan and Dina El-Damak, “The Application of the Linear Congruential Generator, the Single Neuron Model and Intel's MKL to Image Encryption,” IEEE 2nd International Conference on Smart Cities 4.0, Cairo, Egypt, Oct., 2023.
[4] Wassim Alexan, Yousef Korayem, Mohamed Gabr, Minar El-Aasser, Engy Aly Maher, Dina El-Damak, Amr Aboshousha, “AntEater: When Arnold’s Cat Meets Langton’s Ant to Encrypt Images,” in IEEE Access, vol. 11, pp. 106249-106276, 2023, doi: 10.1109/ACCESS.2023.3319335.
[5] J. Yoo, A. P. Chandrakasan , L. Yan, D. El-Damak, A. Shoeb, and M. Bin Altaf, "Multi-channel Scalable EEG Acquisition System on a Chip with Integrated Patient Specific Seizure Classification and Recording Processor," US Patent 11,266,340, 2022.
Dr. Minar El Aassar
Email: minar.elaasser@guc.edu.eg, Office: C3.314, Ext.: 3605
Research Interests: modeling and simulation techniques to analyze and evaluate the performance, scalability, and energy efficiency of different technologies, including LoRa-LPWAN networks and VANETs., network and cyber security and inspecting their threats on new network technologies like SDNs.
Recent Publications:
[1]M. Elgharieb, W. Alexan, M. El-Aasser, and M. M. Ghantous, “Spyshield: a spyfall inspired defense mechanism against poisoning attacks in federated learning,” Scientific Reports, vol. 15, no. 1, p.31374, Aug 2025. doi: 10.1038/s41598-025-16158-3
[2] A. Amar, T. Elshabrawy, and M. El-Aasser, "Multi-GW Simulation for LoRa LPWANs," Journal of Advances in Information Technology, Vol. 16, No. 2, pp. 274-282, 2025. doi: 10.12720/jait.16.2.274-282
[3] A. Dayf, T. Elshabrawy and M. El-Aasser, "Software-Defined Networking (SDN) Optimizations for the Proposed Green Multisite Data Centers (GMDC)," The 2nd IEEE International Conference on Machine Intelligence and Smart Innovation (ICMISI 2025), Alexandria, Egypt, 2025
[4] M. Fathi, M. Ghantous and M. El-Aasser, "GuardedLearn : Safeguarding Federated Learning with Robust Defenses and Privacy Preserving Mechanisms," The 1st International Conference on Intelligent Systems, Blockchain, and Communication Technologies, Sharm El-Sheikh, Egypt, 2024
[5] A. Hegazy, M. Ghantous and M. El-Aasser, "Analyzing the effect of feature selection algorithms on ML classifiers," The 1st International Conference on Intelligent Systems, Blockchain, and Communication Technologies, Sharm El-Sheikh, Egypt, 2024
[6] S. Harras, M. Ghantous and M. El-Aasser, "Use of AI intelligent algorithms to detect and prevent network-based attacks," The 1st International Conference on Intelligent Systems, Blockchain, and Communication Technologies, Sharm El-Sheikh, Egypt, 2024
[7] M. Ossama, E. Maher and M. El-Aasser, "'Evaluating Lora's Transmission Range and Reliability for Connected Vehicles'," The 10th Conference on Wireless Networks and Mobile Communication (WiCOM ), Istanbul, Turkey, 2023
[8] R. Khalifa and M. El-Aasser, "Network Security Challenges in SDN Environments," 2022 5th International Conference on Communications, Signal Processing, and their Applications (ICCSPA), Cairo, Egypt, 2022, pp. 1-6
[9] A. Hegazy and M. El-Aasser, "Network Security Challenges and Countermeasures in SDN Environments," 2021 Eighth International Conference on Software Defined Systems (SDS), 2021, pp. 1-8
[10] M. El-Aasser, P. Edward, M. Mandour, M. Ashour, and T. Elshabrawy, “A Comprehensive Hybrid Bit-level and Packet-level LoRa-LPWAN Simulation Model, ”Internet of Things, p.100386, 2021.
Google Scholar Profile:
https://scholar.google.com/citations?user=Qk6jyhoAAAAJ&hl=en
Dr. Engy Ali
Research Interests: Digital Wireless Communications, Spectrum Allocation and Management, Interference Mitigation and Avoidance Techniques, and Mobile Generation Networks (5G/6G Wireless Networks)
Dr. Sara Azzam
Research Interests: Smart Homes - Optimization - Energy Efficiency - Communication Networks - Smart Grids
[1] S. M. Azzam, T. Elshabrawy and M. Ashour, "A Bi-Level Framework for Supply and Demand Side Energy Management in an Islanded Microgrid," in IEEE Transactions on Industrial Informatics, vol. 19, no. 1, pp. 220-231, Jan. 2023, doi: 10.1109/TII.2022.3144154.
[2] Shaza H. Mansour, Sarah M. Azzam, Hany M. Hasanien, Marcos Tostado-Véliz, Abdulaziz Alkuhayli, Francisco Jurado, “Deep reinforcement learning-based plug-in electric vehicle charging/discharging scheduling in a home energy management system”, Energy, Volume 316, 2025, https://doi.org/10.1016/j.energy.2025.134420.
[3] Shaza H. Mansour, Sarah M. Azzam, Hany M. Hasanien, Marcos Tostado-Veliz, Abdulaziz Alkuhayli, Francisco Jurado,”Wasserstein generative adversarial networks-based photovoltaic uncertainty in a smart home energy management system including battery storage devices”, Energy, Volume 306, 2024, https://doi.org/10.1016/j.energy.2024.132412.
[4] S. M. Azzam and T. Elshabrawy, "Re-Dimensioning Number of Active eNodeBs for Green LTE Networks Using Genetic Algorithms," Proceedings of European Wireless 2015; 21th European Wireless Conference, Budapest, Hungary, 2015, pp. 1-6.
[5] S. M. Azzam, M. Salah, T. Elshabrawy and M. Ashour, "A Decentralized Optimization Algorithm for Residential Demand Side Management in Smart Grids," 2019 Sixth International Conference on Internet of Things: Systems, Management and Security (IOTSMS), Granada, Spain, 2019, pp. 307-313, doi: 10.1109/IOTSMS48152.2019.8939169
[6] S. M. Azzam, T. Elshabrawy and M. Ashour, "Energy Management of Smart Homes Considering Appliance Scheduling Flexibility," 2019 Ninth International Conference on Intelligent Computing and Information Systems (ICICIS), Cairo, Egypt, 2019, pp. 259-264, doi: 10.1109/ICICIS46948.2019.9014687.
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