Koppany is an application engineer at SciEngineer. He is responsible for supporting the education industry and providing teachers and researchers with solutions that turn engineering education into an interactive experience for both students and teachers.

Koppany graduated as an engineering physicist from the Budapest University of Technology and Economics (BME); later, he received his Ph.D. in the field of material sciences, focusing on the application of transmission electron microscopy (TEM) techniques. He spent over 5 years in the semiconductor industry, working together with customers from various fields, including academic and industrial research.

Arpad is a senior application engineer at SciEngineer. His research and consulting work focus on technical computing and finite element modeling.

Arpad received his MSc in mechanical engineering from the Budapest University of Technology and Economics (BME), focusing on applied mechanics. His PhD research focused on the use and research of new material models for polymeric flows.

Bence is an application engineer at SciEngineer. His research and consulting work focus on Model-Based Design and Vehicle Dynamics Simulations.

Bence received his MSc in Mechanical Engineering from the Slovak University of Technology in Bratislava (STU), focusing on applied mechanics and mechatronics. As an application engineer at Gamax, he enables our partners to accelerate their innovation cycle in model-based design, technical computing, model-level verification and validation, vehicle dynamics & powertrain simulation, and model-based system engineering, including deep engagements in technical support and training deliveries.

Daniel is an application engineer at SciEngineer.

Daniel received his MSc in electrical engineering from the Budapest University of Technology and Economics (BME), focusing on control system design and autonomous robots and vehicles. He then started the Ph.D. program, focusing on applying and researching dynamic collision avoidance algorithms for robotic manipulators.

Domonkos is an application engineering team lead at SciEngineer.

Domonkos received his MSc in electrical and electronics engineering and embedded system design at the Budapest University of Technology and Economics (BME). Currently he leads a team of engineers, ensuring their professional growth and company services’ excellence. Domonkos’ consulting and development work focuses on model-based design, verification & validation and automatic code generation.

Gyula is an application engineer at SciEngineer. He received his MSc in Biomedical Engineering & Physics from King’s College London, focusing on MRI Sequence Development and Advanced Imaging Techniques. Additionally, he is an alumnus of Eötvös Loránd University (ELTE). Gyula spent three years in research & development, developing MRI software for preclinical MRI machines. His expertise in physics phenomena and R&D experience bring a unique combination of insights to help you overcome your challenges.

Gabor is a training engineer at SciEngineer. Besides delivering courses, his research and consulting work focuses on Model-Based Design and Control Engineering.

Gabor received his MSc in Electrical Engineering from the Budapest University of Technology and Economics (BME), focusing on control engineering and automation. As a training engineer at SciEngineer, he enables our partners to facilitate their innovation cycle by delivering training on the effective use of MATLAB and Simulink in various fields.

Lajos is an engineer with 10+ years of R&D experience and the Head of Engineering at SciEngineer. He brings a unique combination of knowledge, experience, and insight to help you solve your challenges.

Orkeny is a senior AI and machine learning expert with 6+ years of R&D experience. He received his MSc in electrical engineering from the Budapest University of Technology and Economics (BME), focusing on the perception of autonomous robots and vehicles, and he earned his PhD in computer science from Pázmány Péter Catholic University (PPCU) related to computer vision and 3D perception.