The 7th International Conference on Modern Management based on Big Data (MMBD 2026)

Abstract: Mathematics and computer science constitute the foundational pillars of Generative Artificial Intelligence (GenAI), enabling the design of models capable of learning complex patterns from large-scale data and generating novel, meaningful outputs. Core mathematical disciplines, including probability theory, statistics, linear algebra, and optimization, provide the theoretical basis for generative modeling, while computer science translates these principles into practical algorithms, neural architectures, and scalable computing systems. This tendency adopts the concept of intelligent integration to describe the deep, systemic interaction among mathematics, computer science, and GenAI in education. The speech will show a Synergistic Innovation Model in Education integrating mathematics, computer science, and GenAI, highlighting how their joint interaction drives innovation in education. It will also uncover the complex connections between these three disciplines and demonstrate how their unification enables the creation of powerful generative models that can produce new and meaningful knowledge in education.

Biography: Prof. Dr. Dimiter Velev is with the Department of Informatics at the University of National and World Economy (UNWE), Sofia, Bulgaria (https://www.unwe.bg/en/). Dimiter Velev is the Director of the Science Research Center for Disaster Risk Reduction at UNWE. He holds a M.Sc. degree in Electro-Engineering from the Sofia Technical University, Bulgaria and a Ph.D. degree in Computer Systems, Complexes, Systems and Networks from the Pukhov Institute for Modelling in Energy Engineering at the National Academy of Sciences of Ukraine.
Prof. Velev is a member of the International Federation for Information Processing (IFIP) (http://ifip.org/), in which he is the Chair of Technical Committee #5 – Information Technology Applications (https://www.ifip.org/bulletin/bulltcs/memtc05.htm). Prof. Velev is also the Chair of the IFIP Domain Committee on Quantum Computing.
Prof. Velev’s main areas of academic and R&D interest are Information Technology, Integrated Information Systems for Disaster Management, Artificial Intelligence, Cybersecurity, Virtual Reality, Quantum Computing.
He is a regular chair and a keynote speaker of conferences in Asia and Europe and a reviewer of many scientific publications in journals and conferences.