Modelling Complex Systems

Incarnet Math Models offers solutions for modelling and analysing complex networks, including transportation, telecommunications, and quantum information transmission systems. We focus on applying advanced mathematical methods to create accurate and efficient models. Our main areas are:

Theoretical Research in Network Modelling

Incarnet Math Models conducts cutting-edge research in the field of complex network modelling, using modern mathematical approaches such as probability theory, statistical physics, graph theory, and multiprocessor computing. We develop mathematical models to understand and predict network behaviour under dynamic conditions and random influences. Products: Analytical models for telecommunications systems Queueing and failure models for transportation networks Models for quantum networks and cryptographic protocols.

Applications and Simulation Programs

We develop software solutions for simulating and optimising networks in real-time. Our programs allow the simulation of networks with various architectures and topologies, providing analysis of their reliability, capacity, and fault tolerance. These solutions are applicable to both transportation and communication networks. Products: Simulation software for modelling transportation and telecommunications networks; Optimisation algorithms for distributed systems; Software for modelling quantum networks.

Equipment for Next-Generation Communication Systems

We offer solutions for satellite and quantum communications, as well as non-standard logic devices. Our equipment enables the implementation of advanced communication technologies in complex environments, ensuring high reliability and data transmission speeds. Products: Multichannel satellite routers for reliable communication in remote regions; Equipment for quantum information transmission; Devices based on non-standard logic to enhance communication systems efficiency.

Building the Future of Networks

Latest News & Events

Advancing Scientific Knowledge: Pioneering Research, Development, and Application of Mathematical Foundations in Network Science, Device Engineering, and Computational Technologies.

Our Amazing Team

At Incarnet Math Models, our team is composed of world-class experts dedicated to pushing the boundaries of mathematical modelling, complex networks, and cutting-edge communication technologies. Half of our team members hold PhDs in Mathematics and Computer Science, bringing a wealth of academic knowledge and practical experience to the forefront of our projects. Our diverse skill set enables us to develop innovative solutions in telecommunications, transportation, and quantum information systems. Together, we are committed to delivering excellence and driving groundbreaking discoveries in the field of network modelling and beyond.

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Dr. Anton A. Esin

Chief Executive Officer (CEO) & Founder

Education: MSc in Mathematics (Mathematical Logic & Algorithms), Lomonosov Moscow State University (MSU), MSc in Computer Science, Lomonosov Moscow State University (MSU), Post-graduate Ph.D. program (ABD Ph.D.) in Mathematics, Russian Academy of Sciences, Steklov Mathematical Institute Previous Experience: Incarnet Solutions – CEO & Founder (June 2014 – 2023), Founded Incarnet Solutions, where he leads telecommunications innovation with a focus on 3G/4G channel aggregation, Linksys (Cisco Systems). Bio: Anton Esin is a seasoned expert in telecommunications with deep academic grounding in mathematics and computer science. After founding Incarnet Solutions in 2014, he guided its growth in network aggregation. In 2023, he relocated to Yerevan to establish a new startup, furthering Incarnet’s mission in the CIS region with his strategic vision and technical acumen.

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Dr. Ashot Hakobyan

Chief Research Officer (CRO)

Education: PhD in Applied Mathematics, Yerevan State University; BSc in Mathematics, Russian-Armenian University Previous Experience: Formerly Senior Researcher at Synopsys Armenia, where he focused on optimisation for VLSI (Very Large Scale Integration) systems, applying network models to enhance circuit designs. Bio: Ashot brings over 12 years of experience in network optimisation and computational mathematics. His expertise in algorithm development now supports the advanced projects at Incarnet Math Models.

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Armen Avetisyan

Director of Quantum Communication Development

Education: MSc in Theoretical Physics, American University of Armenia; BSc in Physics, Yerevan State University Previous Experience: Worked as a Quantum Data Security Specialist at Armath Engineering, leading a team in quantum key distribution (QKD) systems for secure communications. Bio: Armen’s work in quantum cryptography now contributes to Incarnet's quantum communication protocols, ensuring maximum security in data transmission.

We look forward to connecting with you!

0012, 32 Komitas Ave, Yerevan, Armenia, (+374-10) 277513, support@imm.am.