Welcome to my github portfolio. I am a researcher specializing in quantum computing, cryptography, and backend development. My work is rooted in applied mathematics, with a strong focus on the intersection of theoretical research and practical applications in modern computing technologies.

• Quantum Computing: Proficient in quantum algorithm design, particularly in the context of quantum cryptographic protocols. Extensive experience with quantum computing frameworks, including Qiskit.
• Cryptography: Specialized in both classical and post-quantum cryptography. My research focuses on the development and analysis of cryptographic algorithms resistant to quantum attacks.
• Applied Mathematics: Expertise in mathematical modeling, computational algorithms, and number theory, with applications in cryptography and data security.
• Programming Languages: Advanced proficiency in Rust, Python, Java, and MATLAB, with a focus on developing high-performance computational tools.

• Master of Science in Applied Mathematics
  Lviv Polytechnic National University (2020-2022)
  Thesis: "Mathematical Modeling and Computational Techniques in Modern Cryptography."

• Master of Science in Information Systems and Technologies
  Odessa National Polytechnic University (2019)
  Thesis: "Development and Implementation of Secure Information Systems in Modern Cryptography."

• Bachelor of Science in Computer Engineering
  Odessa National Polytechnic University (2016-2019)
  Capstone Project: "Conveyor Machine Optimization."

This project involves the development of a comprehensive toolkit for quantum cryptography, including quantum key distribution (QKD) protocols and post-quantum cryptographic algorithms. The toolkit is designed for use in secure quantum communication systems, offering tools for both theoretical research and practical implementation.

A research project focused on the application of number theory in the design and analysis of cryptographic algorithms. This project explores the mathematical underpinnings of cryptographic security, with an emphasis on algorithmic efficiency and resistance to cryptographic attacks.

A detailed comparative study of classical and post-quantum cryptographic algorithms. This research evaluates the security, performance, and computational complexity of various cryptographic protocols, providing insights into their applicability in different computational environments.

This project explores the implementation of the Variational Quantum Eigensolver (VQE) algorithm for quantum chemistry simulations. The research focuses on optimizing the VQE algorithm for use on near-term quantum hardware, with applications in molecular structure analysis.

• Quantum Cryptography and Secure Communication
• Post-Quantum Cryptographic Algorithms
• Mathematical Foundations of Cryptography
• Quantum Algorithms and Quantum Computing
• High-Performance Computing in Cryptography

• Krizhanovskyi, D. "Mathematical Modeling in Quantum Cryptography." viXra (2024).
• Krizhanovskyi, D. "Comparative Analysis of Post-Quantum Cryptographic Algorithms." SSRN (2024).

• LinkedIn: Daniil Krizhanovskyi
• Email: daniil.krizhanovskyi@hotmail.com
• GitHub: dkrizhanovskyi

Thank you for exploring my academic portfolio. I am open to collaboration opportunities in the fields of quantum computing and cryptography.