Prof. Dr. Liudmyla Tereikovska | Neural Network Applications | Cybersecurity Excellence Award
Prof. Dr. Liudmyla Tereikovska , Kyiv National University of Construction and Architecture , Ukraine.
Prof.Dr. Liudmyla Tereikovska, is a distinguished Ukrainian scientist in information technology and cybersecurity. She holds a Ph.D. in Technical Sciences and a Doctor of Technical Sciences degree. Currently, she is a Professor at Kyiv National University of Construction and Architecture.
Her expertise spans information security, voice signal recognition, biometric authentication, and cybersecurity.
Passionate about innovation, she has contributed significantly to the field through extensive research and teaching.
With a deep commitment to technological advancement, she continues to inspire future generations in the IT sector.
Publication Profile
Scopus
Orcid
Education & Experience 
MSc in Technological Engineering – State Academy of Light Industry of Ukraine (1997)
Ph.D. in Technical Science – Kyiv National University of Construction and Architecture (2016)
Doctor of Technical Sciences (Dr. Eng.) – National Transport University (2023)
Professor of Information Technology Design & Applied Mathematics (2024)
Professional Experience:
2023 – Present: Professor, Kyiv National University of Construction and Architecture
2019 – 2023: Associate Professor, Kyiv National University of Construction and Architecture
2019 – 2021: Doctoral Student, Kyiv National University of Construction and Architecture
2017 – 2019: Associate Professor, Department of Cybersecurity & Computer Engineering
2012 – 2016: Postgraduate Student, Kyiv National University of Construction and Architecture
2010 – 2012: Assistant, Department of Information Technologies
2004 – 2010: Assistant, Department of Informatics & Control Systems
Suitability summary
Prof.Dr. Liudmyla Tereikovska, is a highly esteemed researcher in cybersecurity and information technology, making her a strong candidate for the Cybersecurity Excellence Award. With a Doctor of Technical Sciences degree and extensive experience in biometric authentication, facial recognition, and AI-driven cybersecurity solutions, she has significantly contributed to enhancing digital security frameworks. Her research has played a crucial role in developing intelligent security systems, voice signal recognition, and emotion detection, ensuring innovative advancements in critical infrastructure protection. Her dedication to cutting-edge technology has had a profound impact on biometric authentication methods and AI-based cybersecurity solutions.
Professional Development 
Prof.Dr. Liudmyla Tereikovska, has made remarkable strides in the field of cybersecurity and information technology. With expertise in voice signal recognition, biometric authentication, and intelligent information security systems, she has contributed extensively to research and education.
As a Professor, she mentors students, shaping the next generation of IT professionals.
Her commitment to technological advancements is reflected in her research on emotion recognition and cyber protection.
Dedicated to innovation, she collaborates on international projects and continuously develops advanced cybersecurity solutions.
Her work significantly impacts the future of digital security and AI-driven authentication.
Research Focus 
Prof.Dr. Liudmyla Tereikovska, research delves into cutting-edge cybersecurity advancements, biometric authentication, and artificial intelligence applications. She specializes in voice signal recognition, emotion detection, and intelligent security systems, ensuring innovative solutions in cyber protection.
Her work also explores AI-driven biometric authentication, enhancing security measures in digital environments.
With a keen interest in data protection and cryptographic technologies, she develops smart solutions for safeguarding sensitive information.
Collaborating on global projects, she contributes to enhancing cybersecurity frameworks worldwide.
Her research directly influences next-gen security technologies and AI-driven risk detection systems.