Education

• PhD. :McGill University, Montreal, Quebec, Canada
• M.A.Sc :Concordia University, Montreal, Quebec, Canada
• BSc.  :Ain Shams University, Cairo, Egypt

Research 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:

https://scholar.google.com/citations?user=xe2TgqwAAAAJ&hl=en&oi=ao

Education

• 2012 – 2014 The Alexander von Humboldt foundation Post-Doctoral fellowship, Integrated Electronic Systems Lab, Technical University of Darmstadt, Germany
• 2006 – 2010 Doctorate of Philosophy (Ph.D.), Information Engineering & Technology Dept., a Joint degree between The Ohio State University, USA and German University in Cairo, Egypt
• 2004 – 2006 Master of Engineering (M.Sc.), Electronics and Communication Engineering Dept., Cairo University, Egypt
• 1995 – 2000 Bachelor of Electronics and Communication Engineering (B.Sc.), w/honor, Cairo University, Egypt
• Other Education: 2016 - 2018 Master of Business Administration (MBA)
• Paris ESLSCA Business School, Cairo branch, Egypt

Research 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:

https://scholar.google.com/citations?user=xe2TgqwAAAAJ&hl=en&oi=ao

Education

• 2008 – 2012 Doctorate of Philosophy (Ph.D.), Information Engineering & Technology Dept., The German University in Cairo, Egypt
• 2006 – 2008 Master of Engineering (M.Sc.), Information Engineering & Technology Dept., The German University in Cairo, Egypt, Egypt
• 2001 – 2006 Bachelor of Electrical. Electronics and Communication Engineering (B.Sc.), w/honor, Cairo University, Egypt
• 2011 Professional Fellowship, Education for employment, University of Michigan

Research 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.

Google Scholar Profile:

https://scholar.google.com/citations?user=xe2TgqwAAAAJ&hl=en&oi=ao