Dr. Ali AlSinayyid


Dr. Ali Alsinayyid holds a Ph.D. in Computer Science from Southern Illinois University (SIU), where he dedicated his research to developing a novel scheduling algorithm for optimizing BigData Cloud computing. With a Master's degree in computer science and a focus on Real-Time Network Analysis. During his undergraduate studies in software engineering, he explored encryption methods for E-Commerce systems.
Dr. Alsinayyid is grateful for the industry experience he gained in IT Management and network administration for over 17 years, which allowed him to apply his expertise in scheduling algorithms, high-performance computing, BigData processing systems, and cloud computing to practical scenarios.

Currently serving as the Director of the Cybersecurity Innovation Center at West Virginia State University, Dr. Al-Sinayyid is responsible for teaching cybersecurity courses, managing experiential learning for students, conducting curriculum development, and providing research opportunities. His role also involves coordinating cybersecurity internships with major companies like Amazon, IBM, and Kanawha County. Since 2023, he has been leading strategic planning and development, ensuring quality assurance of programs and services, and fostering internal collaboration.

In addition to his role as a CIC director, Dr. Al-Sinayyid holds the position of Assistant Professor in the Math and Computer Science Department at West Virginia State University since 2020. In this capacity, he actively contributes to the academic community by teaching a variety of computer science courses, supervising senior projects, advising undergraduate students, and engaging in departmental and programmatic planning.

Throughout his career, Dr. Al-Sinayyid has published research papers in reputable journals and presented at international conferences. Notably, he received significant grants for establishing a Cybersecurity Innovation Center and a Cyber Security Center for Critical Infrastructure.

TEACHING (Courses): 

  • CS230 Database Management systems
  • CS240 Computer Networking
  • CS250 Data Structure and Algorithms
  • CS299 Machine Learning
  • CS309 Software Engineering
  • CS311 Object-Oriented Programming
  • CS 316 Cybersecurity Basics
  • CS336 Scripting Languages
  • CS408 Senior/Capstone Projects
  • CS410 System Administration
  • CS415 Theory of Computing
  • CS445 Embedded Systems
  • CS509 Advanced Software Engineering
  • CS530 Advanced Database Management System
  • CS540 Network Programming
  • CS605 Advanced Algorithm design
  • CS 611 Computer Cybersecurity 


Track 1: Cybersecurity of the critical infrastructure systems, protecting supervisory control and data acquisition (SCADA) networks, Cyberattack prevention, defending and mitigating.

Track 2: High-performance computing, scheduling algorithms, cloud computing, big data analytics, AI, Machine learning, and robotics.


  • Preventing algorithms and strategies for Phishing Attacks.
  • Defending Cyber Attacks Targeting IoT in Critical infrastructure.
  • Cybersecurity Attacks and Defenses Characteristics.
  • Utlizing AI in Preventing Cyber attacks.
  • DeepSched: A Novel Deep Learning-Based Scheduling Algorithm for Cloud Computing Systems:  In this research, we try to propose a novel scheduling algorithm for cloud computing based on deep learning techniques that aim to minimize latency and maximize throughput. Our algorithm utilizes a deep neural network that adapts to the changing workload and resource availability in real-time, resulting in optimized resource allocation. 
  • Distinguishing Emotions in a voice using machine learning: Using AI to determine the emotional status of the speaker, focused on 6 types of emotions (happy, mad, sad, bored, surprised, or normal).
  • SkinScan: AI-Powered Image Recognition for Dermatological Diagnosis:  SkinScan is a novel system proposed in this research that utilizes AI image recognition to identify skin problems by training a convolutional neural network (CNN) with a comprehensive dataset of dermatological images.
  • Advancing Autonomous Robotics Navigation: A Novel Deep Learning Algorithm for Increased Accuracy: This research introduces a groundbreaking deep learning algorithm aimed at revolutionizing autonomous robotics navigation. By combining convolutional neural networks (CNNs) and recurrent neural networks (RNNs), the algorithm enables robots to learn and adapt their navigation strategies in real time.  


  • Al-Sinayyid, A. MD, et al. (2023). Defending Characteristics and Attribution Analysis for Phishing Attacks (Manuscript submitted for publication in IEEE)
  • Al-Sinayyid, Sas, A. et al. (2023). A Literature Survey and Analysis of Defending Cyber Attacks Targeting IoT in Critical infrastructure (Manuscript submitted for publication in IEEE)
  • Al-Sinayyid, A. V, et al. (2023). Analytical Study for Cybersecurity Attacks and Defenses Characteristics (Manuscript submitted for publication in IEEE)
  • Job scheduler for streaming applications in heterogeneous distributed processing systems. Al-Sinayyid, A., Zhu, M. Job scheduler for streaming applications in heterogeneous distributed processing systems. Springer, The Journal of Supercomputing 76, 9609–9628 (2020). https://doi.org/10.1007/s11227-020-03223-z
  • A. Al-Sinayyid and M. Zhu. Maximizing the Processing Rate for Streaming Applications in Apache Storm. In Proceedings of the 14th International Conference on Data Science (ICDATA'18) pp. 143~146 Las Vegas, USA, July 30 - August 2, 2018. 
  •  A. Abdul Hussien Abdul Wahed Alsinayyid, “Wireless Telecommunications uprising through 4G Long Term Evolution (LTE)”, Journal of Al-Qadisiyah for computer science and Mathematics, 3(1), pp. 221-230 (Published in 2017). Available at: http://qu.edu.iq/journalcm/index.php/journalcm/article/view/255  


  • $749,999 - Establishing a Cyber Security Center for Critical Infrastructure - Current
  • $75,000 - Collaborative Research: RII Track-2 FEC: A multi-prong resilience approach for addressing climate change effects on communities through interdependent networks (UNITED) - Pending
  • $75,000 - West Virginia Sustainable Energy Center for Smart Communities and Cities (WV SEC²): Multidisciplinary Research Center  - Pending
  • $599,995 - Machine Learning Approaches for Modelling Color Patterns, Fruit Shapes with Metabolites for Breeding Capsicum Chinese Peppers  - Pending
  • $34,991 - Collaborative Research: CISE-MSI: DP: III: Information Integration and Association Pattern Discovery in Precision Phenomics - Pending


AI and Robotics Club: Learn Robotics through Fun

CIC CyberHive


CIC CyberLab
Dr. Ali
Dr. Ali AlSinayyid
Director of Cybersecurity Innovation Center (PhD)
Phone: 304-766-3391
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