Assoc. Prof. Dr. Muharrem Tuncay Gençoğlu | Fırat University | Turkey
📌 Assoc. Prof. Dr. Muharrem Tuncay Gençoğlu is a distinguished researcher in Applied Mathematics, Cryptology, and Cybersecurity. He holds dual PhDs—one in Applied Mathematics from Fırat University (Türkiye) and another in Cryptology from Vector Sciences Academy (Azerbaijan). With expertise in cybersecurity, cryptographic systems, and artificial intelligence, he has worked with institutions like Fırat University, National Defense University, and Ahmet Yesevi University. His research spans random number generation, blockchain, and quantum computing, and he has published extensively in international journals. A member of multiple prestigious associations, he is actively involved in COST projects and TÜBİTAK-funded research.
Professional Profile:
Google Scholar
Suitability for Best Researcher Award
Assoc. Prof. Dr. Muharrem Tuncay Gençoğlu is a highly deserving candidate for the Best Researcher Award due to his groundbreaking contributions to Applied Mathematics, Cryptology, and Cybersecurity. His dual PhDs and extensive work with academic and defense institutions highlight his expertise and leadership in these critical fields.
Education & Experience
- Ph.D. in Applied Mathematics – Fırat University (2013)
- Ph.D. in Cryptology – Vector Sciences Academy, Azerbaijan
- M.Sc. in Applied Mathematics – Fırat University (1995)
- B.Sc. in Mathematics – Fırat University (1992)
- B.Sc. in Mathematical Engineering – Istanbul Technical University (1997)
- B.Sc. in Computer Engineering – Texas A&M University (2017)
- International Relations (English, Ongoing) – Anadolu University
- Senior Associate Professor – Fırat University (2015-Present)
- Lecturer & Researcher – National Defense University (2017-Present)
- Lecturer – Ahmet Yesevi University
- Postdoctoral Researcher – Technical University of Berlin (2014)
- Head of Department & Teacher – Private Sector (1988-2004)
- Chairman of the Board – TEB Eğitim Hizmetleri (2004-2010)
Professional Development
📚 Dr. Gençoğlu has actively contributed to cybersecurity, cryptographic modeling, and artificial intelligence. He has received specialized training in ISO 27001 Information Security, Cyber-Terrorism, and Cyber Defense. As an academic advisor, he has guided over 50 master’s theses, including current research on cryptocurrency analysis using deep learning. He has led major TÜBİTAK-funded projects and is a member of international research groups like COST Actions. His collaborations with global cybersecurity organizations showcase his dedication to strengthening data security and cryptographic resilience.
Research Focus
🔬 Dr. Gençoğlu’s research spans applied mathematics, cybersecurity, cryptology, and artificial intelligence. His TÜBİTAK 1002 project explored random number generation through chemical reactions, a crucial innovation in cryptographic security 🔢. His work in blockchain, quantum cryptography, and network security addresses threat modeling, privacy preservation, and cyber intelligence 🔐. As a principal investigator in CHIST-ERA Distributed Systems, he contributes to privacy-enhancing cryptographic techniques. His contributions in COST Actions on mathematical modeling, quantum networks, and biological computation further cement his role as a leader in future-proof cryptographic systems.
Awards & Honors
🏆 Awards & Recognitions:
- TÜBİTAK 1002 Grant – Project on Random Number Generation using Chemical Reactions 🏅
- COST Action Leadership – Contributions to CA18232, CA21109, CA21169 🌍
- Researcher in Distributed AI Lab – Technical University of Berlin (2014) 🤖
- ISO 27001 Information Security Certification – IRCA-IPC 🛡️
- Cybersecurity & Cyber-Terrorism Certifications – Various Institutions 🔓
Publication Top Notes:
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🔬 Use of quantum differential equations in sonic processes – Applied Mathematics and Nonlinear Sciences, (Cited by: 62)
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🔐 Importance of Cryptography in Information Security – IOSR Journal of Computer Engineering (IOSR-JCE), (Cited by: 43)
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🧠 Numerical simulations to the nonlinear model of interpersonal relationships with time fractional derivative – AIP Conference Proceedings, (Cited by: 43)
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🔓 Cryptanalysis of a new method of cryptography using Laplace transform hyperbolic functions – Communications in Mathematics and Applications, (Cited by: 24)
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🔢 Use of integral transform in cryptology – Science and Engineering Journal of Fırat University, (Cited by: 18)
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🏫 Ortaokul öğrencilerinin bilgi güvenliği farkındalığı – Savunma Bilimleri Dergisi, (Cited by: 10)