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Waleed Nazeeh Abdelkawy Ahmed

PhD of Computer Systems Lecturer College of Computer Engineering & Sciences
  • Kharj
  • 011-588-8376
  • w.nazeeh@psau.edu.sa
  • Curriculum Vitae
  • Publications

Education

  • • Ph.D. Degree of Computer Systems, Faculty of Computers and Information Sciences, Ain Shams University, 2021. Thesis “Defending VoIP Networks using Machine Learning Techniques” Detecting SPIT, DoS, and DDoS attacks over SIP-based VoIP networks using Support Vector Machine (SVM) and Recurrent Neural Network (RNN). • MSc Degree of Information Technology, Faculty of Computers and Information, Cairo University, 2007. Thesis “Automatic Speech Verification” Investigating some of the adaptation techniques to find the best one for the Tajweed verification system (Hafss©). • B.Sc. of Information Technology, Faculty of Computers and Information, Cairo University, 2001.

Research Interests

  • Machine Learning
  • Speech Recognition
  • Arabic Language Resources
  • Deep Learning
  • AI for Healthcare

Experience

  • 2008 - until now - Lecturer - College of Computer Engineering and Sciences
  • 2001 - 2008 - Research Engineer - Project Manager - RDI Company

Responsibilities

  • A current member of the Lectures Schedule Committee and Examinations Committee. A former member of Academic Advising Committee, Website Development Committee, Quality and Development Committee, Computer Laboratories Committee, and Students Activities Committee.

Publications

  • PUBLICATIONS
  •  Mohamed Attia, Abdulaziz Almazyad, Mohamed El-Mahallawy, Mohamed Al-Badrashiny, Waleed Nazih, “Soft Vector Quantization with Inverse Power-Function Distributions for Machine Learning Applications”, Book Chapter of the book: Lecture Notes on Electrical Engineering: Intelligent Automation and Systems Engineering, Springer - Verlag Berlin Heidelberg www.SpringerOnline.com, 1st ed., Vol. 96, ISBN 978-1-4614-0372-2, http://www.springer.com/engineering/circuits+%26+systems/book/978-1-4614-0372-2, Aug. 2011.
  • Journals
  •  Walaa Gad, Anas Alokla1, Waleed Nazih, Mustafa Aref1 and Abdel-badeeh Salem, “DLBT: Deep Learning-Based Transformer to Generate Pseudo-code from Source Code”, accepted for publictaion in “Computers, Materials, and Continua”, Special Issue "Emerging Applications of Artificial Intelligence, Machine learning and Data Science", 2021. (Web of Science indexed)
  •  Waleed Nazih, Yasser Hifny, Wail S. Elkilani, and Tamer Abdelkader, “Fast Detection of Distributed Denial of Service Attacks in VoIP Networks Using Convolutional Neural Networks”, International Journal of Intelligent Computing and Information Sciences, Volume 20, Issue 2, December 2020, Page 125-138.
  •  Waleed Nazih, Yasser Hifny, Wail S. Elkilani, Habib Dhahri and Tamer Abdelkader, “Countering DDoS Attacks in SIP Based VoIP Networks Using Recurrent Neural Networks”, Sensors 20 (20), Special Issue "Intelligent and Adaptive Security in Internet of Things", 5875, 2020. (Web of Science indexed) https://www.mdpi.com/1424-8220/20/20/5875
  •  Waleed Nazih, Wail S. Elkilani, Habib Dhahri and Tamer Abdelkader, “Survey of Countering DoS/DDoS Attacks on SIP Based VoIP Networks”, Electronics 9 (11), Special Issue "Intelligent Security and Privacy Approaches against Cyber Threats", 1827, 2020. (Web of Science indexed). https://www.mdpi.com/2079-9292/9/11/1827
  •  Waleed Nazih, Yaser Hifny, W.S. Elkilani, T. Abdelkader, H.M. Faheem, “Efficient Detection of Attacks in SIP Based VoIP Networks using Linear l1-SVM Classifier”, International Journal of Computers Communications & Control, 14(4), 518-529, August 2019. (Web of Science indexed). http://univagora.ro/jour/index.php/ijccc/article/view/3563
  •  Taisir Eldos, Waleed Nazih, Aws Kanan, “Maximally Distant Codes Allocation Using Chemical Reaction Optimization and Ant Colony Optimization Algorithms”, Journal of Computer Science, Volume 11 - Issue 8 - Pages 892-901, 2015. http://thescipub.com/abstract/10.3844/jcssp.2015.892.901
  •  Taisir Eldos, Aws Kanan, Waleed Nazih, Ahmad Khatatbih, “Adapting the Chemical Reaction Optimization Algorithm to the Printed Circuit Board Drilling Problem”, World Academy of Science, Engineering and Technology International Journal of Computer, Control, Quantum and Information Engineering Vol:9, No:1, 2015. https://waset.org/Publication/adapting-the-chemical-reaction-optimization-algorithm-to-the-printed-circuit-board-drilling-problem/10000398
  •  Mohamed Attia, Mohamed S. El-Mahallawy, Mohsen A. A. Rashwan, Waleed Nazih, Mohamed A. S. A. A. Al-Badrashiny, “Omnifont text recognition of printed cursive scripts via HMMs, compact lossless features, and soft data clustering”, Pattern Analysis and Applications, Springer London, vol. 17, issue 1433-7541, pp. 1-15, 2014.
  •  Mohamed Attia, Waleed Nazih, Mohamed Al-Badrashiny, Hamed ElSimary, “A General Scheme for Dithering Multidimensional Signals, and a Visual Instance of Encoding Images with Limited Palettes”, Journal of King Saud University - Computer and Information Sciences (JKSU-CIS) – Elsevier Science: http://www.journals.elsevier.com/journal-of-king-saud-university-computer-and-information-sciences; ISSN:1319-1578, Volume 26 - Issue 2: Apr. 2014.
  •  Mohamed Attia, Waleed Nazih, Mohamed Al-Badrashiny, Hamed ElSimary, “Encoding True-Color Images with a Limited Palette via Soft Vector Clustering as an Instance of Dithering Multidimensional Signals”, JVCI – Elsevier Science, http://www.journals.elsevier.com/journal-of-visual-communication-and-image-representation, ISSN: 1047-3203, Volume 25 – Issue 2: pp. 349-360, Feb. 2014. (Web of Science indexed).
  •  Taisir Eldos, Waleed Nazih, Hamed Elsimary, “Error-Correction-Code Allocation Using The Chemical Reaction Optimization Algorithm”, International Journal of Electrical & Computer Sciences; Vol. 13 Issue 3, p54, Jun 2013.
  •  Mohammad Alhawarat, Waleed Nazih, Mohammad Eldesouki, “Studying a Chaotic Spiking Neural Model”, International Journal of Artificial Intelligence & Applications (IJAIA), Vol. 4, No. 5, September 2013.
  •  Mohamed Attia, Abdulaziz Almazyad, Mohamed El-Mahallawy, Mohamed Al-Badrashiny, Waleed Nazih, “Soft Vector Quantization with Inverse Power-Function Distributions for Machine Learning Applications”, IAENG International Journal of Computer Science (IJCS), Volume 38 Issue 1, pp.74 to pp.81, http://www.iaeng.org/IJCS/issues_v38/issue_1/index.html, Feb. 2011.
  • Conference Papers
  •  Mohammad Alhawarat, Waleed Nazih, Mohammad Eldesouki, “Further Analysis of a chaotic spiking neural model: The NDS neuron”, Third International Conference on Artificial Intelligence, Soft Computing and Applications (AIAA-July 2013).
  •  Sherif Mahdy Abdou, Salah Eldeen Hamid, Mohsen Rashwan, Abdurrahman Samir, Mostafa Shahin, Ossama Abd-Elhamid, Waleed Nazeeh. "Computer Aided Pronunciation Learning System Using Speech Recognition Techniques", Interspeech , 2006.
  • PATENTS
  •  Mohsen Rashwan, Salah Eldeen Hamid, Sherif Mahdy Abdou, Abdurrahman Samir, Ossama Abd-Elhamid, Waleed Nazih, Mostafa Shahin “Hafss”; Novel Speech Technology for the Self-Learning of Spoken Language Applied on Tajweed, Int’l. Patent Application no. PCT/EG2007/000013 under Patent Cooperation Treaty (PCT), Int’l. filing date; Apr. 26th, 2007, Publication Date: July, 17th, 2008 (Details)

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