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Dr.Bandar Saleh Mouhammed ِAlmaslukh

Ph.D Degree of Computer Science Associate Professor Department of Computer Sciences College of Computer Engineering & Sciences
  • Kharj
  • 011-588-8396
  • b.almaslukh@psau.edu.sa
  • Curriculum Vitae
  • Publications

Education

  • Ph.D Degree of Computer Science (2014- 2018) • College of Computer and Information Sciences • King Saud University, Riyadh • (One of the top ten students in King Saud University, in 2019)

  • Master Degree of Computer Science (2008- 2010) • College of Computer and Information Sciences • King Saud University, Riyadh

  • Bachelor Degree of Computer Sciences (2003- 2006) • College of Computer and Information Sciences • King Saud University, Riyadh

Research Interests

  • The main research is in the area of Deep learning, with application to human activity recognition, intrusion detection, and natural language processing. Also my research interests include machine learning and artificial intelligence, with applications to computer vision, and computational neuroscience. Additionally, I has a strong technical and Engineering skills that enable me to drive the deployment of machine learning algorithms into production.

Experience

  • Feb 2008 - July 2010 - Network Administrator - Ministry of Interior ISP
  • July 2006 - Feb 2008 - Database Developer - The Royal Commission for Riyadh City
  • Aug 2011 - Aug 2013 - Lecturer at computer science department - Prince Sattam bin Abdul Aziz University
  • Feb 2015 - Feb 2019 - Machine Learning and Deep Learning Research Scientist - King Saud University
  • Feb 2019 - until now - Assistant Professor at computer science department - Prince Sattam bin Abdul Aziz University

Responsibilities

  • Executive Coordinator for Cyber Security Diploma Program Prince Sattam bin Abdulaziz University (Aug 2020 – Jun 2021)
  • Vice-dean of Academic and Education Affairs, College of Computer Engineering and Science, Prince Sattam bin Abdulaziz University (Aug 2020 – Aug2021)
  • Head of Computer Science Department, College of Computer Engineering and Science, Prince Sattam bin Abdulaziz University (Dec 2019 – Aug 2020)

Publications

  • [1] Almaslukh, Bandar."Deep learning and entity embedding-based intrusion detection model for wireless sensor networks," Computers, Materials & Continua, vol. 69, no.1, pp. 1343–1360, 2021.
  • [2] Almaslukh, Bandar. "A Lightweight Deep Learning-Based Pneumonia Detection Approach for Energy-Efficient Medical Systems." Wireless Communications and Mobile Computing 2021 (2021).
  • [3] Almaslukh, Bandar. "A Gradient Boosting Method for Effective Prediction of Housing Prices in Complex Real Estate Systems." 2020 International Conference on Technologies and Applications of Artificial Intelligence (TAAI). IEEE, 2020.
  • [4] Almaslukh, Bandar. "An efficient and effective approach for flooding attack detection in optical burst switching networks." Security and Communication Networks 2020 (2020).
  • [5] Almaslukh, Bandar. "Forensic Analysis using Text Clustering in the Age of Large Volume Data: A Review." International Journal of Advanced Computer Science and Applications 10.6 (2019).
  • [6] Almaslukh, Bandar, Abdel Monim Artoli, and Jalal Al-Muhtadi. "A robust deep learning approach for position-independent smartphone-based human activity recognition." Sensors 18.11 (2018): 3726.
  • [7] Almaslukh, Bandar, Jalal Al Muhtadi, and Abdel Monim Artoli. "A robust convolutional neural network for online smartphone-based human activity recognition." Journal of Intelligent & Fuzzy Systems 35.2 (2018): 1609-1620.
  • [8] Almaslukh, Bandar, Jalal AlMuhtadi, and Abdelmonim Artoli. "An effective deep autoencoder approach for online smartphone-based human activity recognition." Int. J. Comput. Sci. Netw. Secur 17.4 (2017): 160-165.
  • [9] Gumaei, Abdu, Bandar Almaslukh, and Nejmeddine Tagoug. "An Empirical Study of Software Cost Estimation in Saudi Arabia Software Industry." International Journal of Soft Computing and Engineering (IJSCE), ISSN (2015): 2231-2307.
  • [10] El-Zaart, Ali, Bandar Saleh Almaslukh, and Wafaa Kamel Al-Jibory. "A New Edge Detector Using Log-Normal Distribution."

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