Educational and Research Institute of Physics and Technology NTUU "Igor Sikorsky Kyiv Polytechnic Institute"
We were visited by 32 pupils from KPL 171 “Leader”, Technical Lyceum of NTUU “KPI”, KPNL 145, UVML of Taras Shevchenko National University of Kyiv, gymnasium and school “Optima” 178 and organized into 6 teams!
The first place was taken by the team “Oki” from the technical lyceum of NTUU “KPI” together with a student of the school “Optima”.… Continue reading
The University of Waterloo is now accepting applications for a summer program for students from Ukraine!
This program will run from May 6 to August 23, 2024. Applications are especially encouraged from candidates interested in research fields related to engineering, computer science, and mathematics, but all other specializations represented at the university will be considered as well.… Continue reading
The scientific works of our students under the guidance of the department’s teachers won prizes in the first round of the All-Ukrainian competition of student research papers on artificial intelligence!
On October 17, at the meeting of the Competition Commission of the first round, the winners were determined among 33 submitted student research papers.… Continue reading
Dear students, a great opportunity to prove yourself and attend an incredibly interesting conference is to submit a paper for participation in the International Symposium on Applied Geoinformatics (ISAG2024).
This conference will be held on May 9-10, 2024 at the Wroclaw University of Science and Technology.… Continue reading
We invite high school students to attend the Math Magic & Data Analysis quiz, which will take place on October 24 at 16:00 at 7a Akad. Yangel St., room 205. 205.
An intellectual team game with interesting questions from students and teachers of the School of Physics, the opportunity to get to know the life of the Department of Mathematical Modeling and Data Analysis, learn about the prospects of the specialty “113 Applied Mathematics” under the educational program “Mathematical Methods of Modeling, Pattern Recognition and Computer Vision”, student activities and events, as well as communication with the students of the School of Physics over pizza and drinks are waiting for you!… Continue reading
Representatives of our department took part in the 13th International Conference Dependable Systems, Services and Technologies and made presentations in the section “Earth Intelligence for Security and Safety”, chaired by Natalia Kussul.
The conference was held in a hybrid format. In total, there were 21 sections and 108 reports were presented.… Continue reading
The FTI team «Fireflies SQuad» successfully participated in the NASA Space App Challenge.
Team members, our masters:
• Andriy Aseko-Nkili
• Anastasia Komar
• Ksenia Kayuk
• Artem Karaban
They proposed a service for monitoring the spread of fires based on satellite data and received overwhelming support from the audience!… Continue reading
On October 10, representatives of our department held a working meeting with the management and specialists of Polissya National University, the Institute of Space Research, the National Academy of Sciences of Ukraine and the State Space Agency of Ukraine.… Continue reading
On September 30, the first stage of the team programming tournament 2023 ACM ICPC Ukraine took place
Among the 60 teams from the northern region of Ukraine, 2 teams from the ER IPT took part:
KPI_KyivPolytechnics23
1) Dmytro Logvinov FI-11
2) Konstantin Danilov FI-11
3) Igor Prykhodko FB-01
KPI_IPT_Fizkek
1) Powerful Bogdan FI-03
2) Svirsh Vlada FI-03
Our students won 3rd and 4th places among 8 KPI teams, took 14th and 15th places among all university teams of the northern region and reached the second stage of the tournament.… Continue reading
On October 7-8, the NASA Space App Challenge hackathon took place, where the masters of our department and the team of the Applied Mathematics Club took part.
Their team «Fireflies Squad» chose the challenge «Managing Fire: Increasing Community-based Fire Management Opportunity» and used machine learning and NASA satellite data to model the speed of fire spread and quickly inform and prevent large losses.… Continue reading