I'm committed, hardworking, and proactive as a Deep Learning and Machine Learning Researcher (Engineer). With a strong background in CyberSecurity, specifically in Malware Analysis with Artificial Intelligence (AI) and Internet-of-Things technology, Image Processing, and Natural Language Processing (NLP), I bring a versatile set of skills to the table. I have a proven track record of designing, testing, and analyzing processes to enhance operational efficiency. At this time, I'm seeking a challenging work environment to apply my technical expertise and become a valuable asset to the organization I work for.

Data Scientist | Artificial Intelligence | Data Engineer | Machine Learning & Deep Learning | Natural Language Processing | Cybersecurity Researcher and Practitioner | Supervised and Unsupervised Learning | Malware Analysis | Web Scraping | Internet-of-Things 

MTHAEL: Cross-Architecture IoT Malware Detection Based on Neural Network Advanced Ensemble Learning – 2020, IEEE Transactions on Computers.

Image-based malware classification using an ensemble of CNN architectures (IMCEC) – 2020, Computer & Security (Elsevier).

IMCFN: Image-based malware classification using fine-tuned convolutional neural network architecture-2020, Computer Networks (Elsevier).

Malware detection in the industrial Internet of Things based on hybrid image visualization and deep learning model– 2020, Ad Hoc Network (Elsevier).

Visual Malware Classification Using Local and Global Malicious Pattern – 2019, Journal of Computers (SCI).

Customer Experience Towards the Product during a Coronavirus Outbreak– 2022.

During my master's and Ph.D. study, I have taught many courses:

• Fundamentals of Computer

• Computer Languages C, C++, and Java

• Data Communication

• Computer Network

• Network Security

• Database System

• Fundamentals of Machine Learning

• Advanced Machine Learning

• Cybersecurity (Malware Analysis)

• Introduction to Privacy-Preserving Machine Learning.