Dr. Mariana Durcheva | Cryptography | Best Researcher Award

Lecturer at Sami Shamoon College of Engineering, Israel

Mariana Durcheva is a distinguished academic and researcher specializing in mathematics, cryptography, fuzzy theory, and AI applications. She holds a Ph.D. in Mathematics from the Technical University of Sofia, Bulgaria, and is currently a lecturer at Sami Shamoon College of Engineering in Israel. With over 30 peer-reviewed publications, her research spans several critical areas, including public key cryptography, fuzzy graphs, and the application of AI in various domains. Durcheva has also made significant contributions to the development of educational tools, including her work on the TeSLA project, a Horizon 2020 initiative for e-assessment in higher education. Her leadership and research have earned her international recognition, and she continues to push the boundaries of mathematical theory with a focus on practical applications. Her interdisciplinary approach and commitment to advancing both mathematical theory and education make her a prominent figure in her field.

Professional Profile 

Scopus Profile

Education

Mariana Durcheva’s educational journey began with an M.Sc. in Mathematics and Informatics from Sofia University “St. Kliment Ohridski,” Bulgaria, in 1989. She then pursued a Ph.D. in Mathematics at the Technical University of Sofia, Bulgaria, from 2010 to 2013, specializing in mathematical modeling and cryptography. Her doctoral dissertation focused on discrete logarithms and cryptographic protocols using semigroups and semirings. Durcheva’s strong academic foundation laid the groundwork for her subsequent research career, where she has integrated mathematical theory with real-world applications, especially in the fields of cryptography, AI, and education.

Professional Experience

Mariana Durcheva has an extensive teaching career, currently serving as a lecturer at Sami Shamoon College of Engineering, Israel. She has previously held academic positions at the Technical University of Sofia and other esteemed Bulgarian institutions. Durcheva has contributed to various leadership roles, including serving as Vice Dean of the Faculty of Applied Mathematics and Informatics at TU Sofia and leading the TeSLA project, an EU-funded initiative aimed at developing innovative e-assessment systems for higher education.

Research Interests

Durcheva’s primary research interests lie in cryptography, fuzzy theory, artificial intelligence, and mathematical education. Her work focuses on applying AI and deep learning to improve cryptographic systems and exploring advanced topics in public key cryptography, fuzzy graphs, and network analysis. Additionally, she has explored the intersection of mathematics and technology in education, contributing to projects that enhance teaching methodologies using Computer Algebra Systems (CAS) and machine learning. Her research is interdisciplinary, combining mathematical theory with practical applications in diverse fields like electronic circuit design and financial systems.

Awards and Honors

Throughout her career, Durcheva has received numerous awards and grants for her research. These include funding for her contributions to cryptography and AI-based applications. Notably, she played a key role in the TeSLA project under the Horizon 2020 initiative, which aimed to revolutionize e-assessment systems in education. Her work in both cryptography and education technology has garnered attention in the international research community, and she has published widely in high-impact journals and presented at global conferences. Her commitment to research excellence and innovation has earned her a well-deserved reputation in the academic community.

Conclusion

Mariana Durcheva is an accomplished mathematician and researcher whose work blends theoretical mathematics with practical technological applications. With a deep passion for cryptography, fuzzy theory, and AI, she continues to contribute groundbreaking insights to her field. Durcheva’s academic career reflects a dedication to both advancing scientific knowledge and improving educational practices. Her leadership in international projects and her ongoing contributions to mathematics make her a highly respected figure in her field. As she continues to push the boundaries of her research, her impact on both academia and industry is poised to grow further.

Publications Top Noted

  • Cryptography Based on (Idempotent) Semirings: Abandoning Tropicality?

    • Authors: Mariana Durcheva

    • Year: February 2025

    • Source: Article

  • Secure Key Exchange in Tropical Cryptography: Leveraging Efficiency with Advanced Block Matrix Protocols

    • Authors: Mariana Durcheva, Kiril Danilchenko

    • Year: May 2024

    • Source: Article

  • Comprehensive E-learning of Mathematics using the Halomda Platform enhanced with AI tools

    • Authors: Philip Slobodsky, Mariana Durcheva

    • Year: April 2024

    • Source: Article

  • Secure Key Exchange in Tropical Cryptography: Leveraging Efficiency with Advanced Block Matrix Protocols

    • Authors: Mariana Durcheva, Kiril Danilchenko

    • Year: April 2024

    • Source: Preprint

  • Enhancing Students’ Preparation for Math Exams using the Advanced Features of the Halomda Platform

    • Authors: Philip Slobodsky, Mariana Durcheva, Leonid Kugel

    • Year: March 2024

    • Source: Article

  • Interactive guided training in higher mathematics courses with Halomda platform

    • Authors: Mariana Durcheva, Philip Slobodsky

    • Year: January 2024

    • Source: Conference Paper

  • Trusted e-assessment in high math courses based on the Halomda platform

    • Authors: Philip Slobodsky, Mariana Durcheva

    • Year: January 2024

    • Source: Conference Paper

  • Guided e-Assessment of Math Proofs with the Halomda Platform

    • Authors: Philip Slobodsky, Mariana Durcheva

    • Year: December 2023

    • Source: Article

  • Combined Teaching of Mathematics with the Halomda Platform

    • Authors: Leonid Kugel, Philip Slobodsky, Mariana Durcheva

    • Year: October 2023

    • Source: Article

  • Cryptography Based on Fuzzy Graphs

    • Authors: Mariana Durcheva, Malinka Ivanova

    • Year: August 2023

    • Source: Chapter

  • M-Polar Fuzzy Graphs and Deep Learning for the Design of Analog Amplifiers

    • Authors: Malinka Ivanova, Mariana Durcheva

    • Year: February 2023

    • Source: Article

  • E-assessment of mathematics courses using the Halomda platform

    • Authors: Philip Slobodsky, Mariana Durcheva

    • Year: January 2023

    • Source: Conference Paper

  • Some ideas for applying technology in the discrete mathematics course

    • Authors: Mariana Durcheva

    • Year: September 2022

    • Source: Conference Paper

  • TrES: Tropical Encryption Scheme Based on Double Key Exchange

    • Authors: Mariana Durcheva

    • Year: August 2022

    • Source: Article

  • Transfer Entropy Networks of Cryptocurrencies and Stocks: A Comparative Study

    • Authors: Pavel Tsankov, Mariana Durcheva

    • Year: October 2021

    • Source: Chapter

  • Granger causality networks of S&P 500 stocks

    • Authors: Mariana Durcheva, Pavel Tsankov

    • Year: March 2021

    • Source: Conference Paper

  • My new book: “Semirings as building blocks in cryptography”

    • Authors: Mariana Durcheva

    • Year: January 2020

    • Source: Book

  • Authentication with TeSLA system instruments supporting eAssessment models in engineering courses

    • Authors: Mariana Durcheva, Anna Rozeva

    • Year: November 2019

    • Source: Conference Paper

  • Analysis of similarities between stock and cryptocurrency series by using graphs and spanning trees

    • Authors: Mariana Durcheva, Pavel Tsankov

    • Year: November 2019

    • Source: Conference Paper

  • Innovations in teaching and assessment of engineering courses, supported by authentication and authorship analysis system

    • Authors: Mariana Durcheva, Ivailo Milanov Pandiev, Elena Halova, Anna Rozeva

    • Year: November 2019

    • Source: Conference Paper

  • How to Use CAS (Maple) to Help Students Learn Number Theory

    • Authors: Mariana Durcheva

    • Year: June 2019

    • Source: Article

  • Enhancing Trust in eAssessment – the TeSLA System Solution

    • Authors: Malinka Ivanova, Sushil Bhattacharjee, Sébastien Marcel, Mariana Durcheva

    • Year: May 2019

    • Source: Preprint

  • e-Training and e-Assessment of Mathematical Courses by Xpress-Tutor Integrated in Moodle

    • Authors: Philip Slobodsky, Alexander Ocheretovy, Mariana Durcheva

    • Year: March 2019

    • Source: Conference Paper

  • Modeling mathematical logic using MAPLE

    • Authors: Mariana Durcheva, Elena Nikolova

    • Year: December 2018

    • Source: Conference Paper

  • Learning process enhancement through self-testing and self-assessment using the TeSLA system

    • Authors: Mariana Durcheva, Malinka Ivanova

    • Year: December 2018

    • Source: Conference Paper

 

 

Mariana Durcheva | Cryptography | Best Researcher Award

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