Academic Studies
Academic research and fields of study
This section contains my academic works and research areas. My research focuses on modern computer science topics including cryptology, cyber security, artificial intelligence, and data science.
Current Research Interests
- Advanced encryption techniques and cryptographic protocols
- Network security and penetration testing methodologies
- Machine learning applications in security
- Big data analysis and visualization
Publications & Projects
You can explore my work in different areas using the tabs above.
Research Focus
Cryptology is the foundation of modern secure communications. My work in this area includes:
- Encryption Algorithms: Study and implementation of symmetric and asymmetric encryption
- Cryptographic Protocols: Analysis of secure communication protocols
- Hash Functions: Research on collision-resistant hash functions
- Digital Signatures: Implementation of digital signature schemes
- Blockchain Technology: Applications of cryptography in distributed systems
Research Focus
Cyber security is critical in today’s interconnected world. My research includes:
- Network Security: Firewall configuration, intrusion detection systems
- Penetration Testing: Security assessment methodologies and tools
- Vulnerability Analysis: Finding and analyzing security weaknesses
- Incident Response: Handling and recovery from security incidents
- Security Auditing: Comprehensive security evaluation frameworks
Research Focus
AI and machine learning are transforming technology. My work focuses on:
- Machine Learning: Supervised and unsupervised learning algorithms
- Deep Learning: Neural networks and advanced architectures
- Natural Language Processing: Text analysis and language models
- Computer Vision: Image recognition and processing
- Reinforcement Learning: Decision-making and optimization
Research Focus
Data science combines statistics, programming, and domain expertise. My research includes:
- Data Analysis: Statistical analysis and hypothesis testing
- Data Visualization: Creating meaningful visual representations
- Statistical Modeling: Predictive and descriptive models
- Big Data: Handling and processing large-scale datasets
- Data Mining: Discovering patterns in complex data