Dr. Ali AlSinayyid

RESEARCH INTERESTS:

CURRENT ONGOING RESEARCH:

• 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.  

PUBLICATIONS:

• 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  

GRANTS:

• $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

CLUBS:

AI and Robotics Club: Learn Robotics through Fun

CyberHive:


CyberLab: