Department of Mathematical Modelling and Data Analysis
Educational and Research Institute of Physics and Technology NTUU "Igor Sikorsky Kyiv Polytechnic Institute"
On June 23-24, 2022, the meeting was held regarding the public discussion of the results of the successful pilots of the European e-shape project. Among other pilots of the e-shape project, the results of Pilot 1.6 – “Service for SDG 2.4.1 and 15.3.1 indicators” were presented by prof.… Continue reading
During the last week (June 16-24), the thesis defenses of the first batch of bachelors and masters of the Department of Mathematical Modeling and Data Analysis of Educational and Research Institute of Physics and Technology NTUU “Igor Sikorsky Kyiv Polytechnic Institute” took place under the educational program “Methods of mathematical modeling, pattern recognition and computer vision” in the specialty 113 ” Applied Mathematics”.… Continue reading
Student of the 3rd year of the Department of Mathematical Modeling and Data Analysis of Educational and Research Institute of Physics and Technology NTUU “Igor Sikorsky Kyiv Polytechnic Institute” and University of Toronto Artificial Intelligence Researcher Nazar Ponochevny and his startup Harmix® — an intelligent service that automatically selects music for videos — at Collision Conf with startup Harmix!… Continue reading
Together with colleagues from the World Bank and the Joint Research Center, employees of the Department of Mathematical Modeling and Data Analysis assessed the direct and indirect losses from the Russian war on the area of agricultural crops, as well as the expected harvest of winter crops in Ukraine.… Continue reading
This year, specialists of our department have a big challenge – to collect ground data to build a classification map of types of agricultural crops. However, despite the external circumstances and the war, they successfully cope with it!
Good training of a neural network requires information about the type of crop grown in the field, and of course a time series of satellite information.… Continue reading
On Friday, July 8, 2022, the three-week International Summer Scientific Professional School of “Data Analysis” for students and pupils of leading technical educational institutions of Ukraine and the world began its work.
The organizers of the school are the Department of Mathematical Modeling and Data Analysis of Educational and Research Institute of Physics and Technology NTUU “Igor Sikorsky Kyiv Polytechnic Institute”, University of Maryland (USA), Anhalt University of Applied Sciences (Germany), in cooperation with representatives of the National University “Kyiv-Mohyla Academy“.… Continue reading
From May 4 to June 10, five employees of the MMDA department – Nataliia Kussul, Alla Lavrenyuk, Andrii Shelestov, Hanna Yalymova and Ivan Tereshchenko, successfully completed the International Internship of Pedagogical and Scientific Pedagogical Workers of ZVO III – IV levels of accreditation “DIGITAL FUTURE: BLENDED LEARNING“, organized by the Digln.Net… Continue reading
Department of Mathematical Modeling and Data Analysis (MMDA) of the Educational and Research Institute of Physics and Technology NTUU “Igor Sikorsky Kyiv Polytechnic Institute” invites you to study!
Established in 2021, the MMDA department prepares highly qualified specialists under the innovative educational program “Mathematical methods of modeling, pattern recognition and computer vision” offers three levels of education:
• Bachelor’s degree
• Master’s degree
• Doctors of philosophy
The acquired fundamental knowledge in mathematics, physics, programming and computer sciences will allow students to master a wide range of professional disciplines dedicated to the development and application of mathematical models, methods and the latest technologies in specialized fields.… Continue reading
On June 9, 2022, a webinar on the international project e-shape “EO in support of agricultural activities: new horizons” was held, where participants presented their work within the respective pilots. In particular, prof. Nataliia Kussul presented the preliminary results of the Ukrainian team’s work on pilot 1.6, in which participants assess the indicator of sustainable development goals 2.4.1 “Proportion of agricultural area under productive and sustainable agriculture” and 15.3.1 “Proportion of land that is degraded over total land area” on the cloud CREODIAS platform and based on the analysis of satellite time series and land cover classification maps.… Continue reading
On June 6, 2022, there was a workshop by our successful FTI student, CEO of Harmix startup and research intern at the University of Toronto – Nazar Ponochevny on “Autoencoders. Introduction ”.
We talked about the use of auto-encoders in applied problems, understood why we need auto-encoders on examples and understood the direction of movement of successful students.… Continue reading