Training

KTU Faculty of Mathematics and Natural Sciences (FMNS) conducts non-formal education programs: scientific events, seminars, courses, etc.

 

KTU Big Data School

KTU Big Data School is an annual event organized by KTU FMNS for business professionals and the scientific community to get acquainted with the latest trends and practices in the field of big data.

The Big Data School is both a theoretical and a practical scientific event focused on a deep theoretical foundation and skills development through workshops. The event is for industry practitioners, researchers, doctoral students, and graduate students.

The aim of the school is to keep up with the latest trends and knowledge field of big data, covering topics such as big data and financial analysis, machine learning, and much more.

Dr. Tomas Iešmantas
Executive Chairperson

tomas.iesmantas@ktu.lt

Alina Kotkevičienė
Coordinator

alina.kotkeviciene@ktu.lt

 

Research seminars

Mathematics is intellectual activity area with a history of several thousand years. Recently, it covers more than 3,000 recognized areas of mathematical research. In the modern world, it is widely applied not only in engineering, computer science, physics, biology, medicine, but also in other areas of intellectual activity that require abstract thinking and modeling. Number theory, mathematical models, statistical analysis are also used in the humanities or even art.

During the academic year, the researchers of the faculty organize scientific seminars aimed to share knowledge and promote cooperation between researchers, enable students to develop mathematical competence, and help to acquire mathematical knowledge from various fields of mathematics.

Upcoming events:

Assoc. prof. dr. Bronė Narkevičienė
Organizator of research seminars

E-mail: brone.narkeviciene@ktu.lt 

26 October at 15:30  „Employing cloud-based business intelligence solutions to administer a university“ Dr. Gulshat Amirkhanova, PhD (Al-Farabi Kazakh National University, Kazakhstan)
30 November at 15:30 „Fractional-order discrete maps and their control“ Dr. Tadas Telksnys
“Analysis of fractional order differential equations via operator techniques” Inga Telksnienė (KTU FMNS)
„The Ontology based Water Resources Monitoring System for Sustainable Regional Development“ Assoc. prof. dr. Madina Mansurova, PhD (Al-Farabi Kazakh National University, Kazakhstan)
„Magnetic Properties of Sr2FeMoO6–δ Nanoparticles“ Nikolai A. Sobolev (University of Aveiro, Portugal)
„Living Photopolymerization for Additive Manufacturing“ dr. Arnaud Spengenberg (Institute of Materials Science, Mulhouse, France)
„Surface Color on Demand: Chameleon Effect“ dr. Karine Mougin (Institute of Materials Science, Mulhouse, France)
,,On the Use of ANN based Surrogates for Optimization and Uncertainty Estimation using High Intensive Numerical Simulators” dr. Dominique Guérillot (founder and CEO of Terra 3E SAS)
,,Experimental and Numerical Investigation of Multiphase Flow in Annuli” prof. dr. Mohammad Azizur Rahman (Memorial University, Canada)
„Laser shock-wave surface processing possibilities of structural materials” assoc. prof. dr. Oksana Sitkar  (Ternopil Ivan Puluj National Technical University, Ukraine)
„Dynamic adaptivity for coupled flow and geomechanics in unconventional reservoirs using a posteriori error estimation and spacetime modeling“ prof. dr. Mary F. Wheeler (University of Texas ODEN Institute for Computational Engineering Sciences, USA)
„Lithium-ion batteries: recent advances and directions for future development” prof. dr. Hyeong-Jin Kim (Gwangju Institute of Science and Technology, Korea)
„Calculation of blood flow velocity in the left atrium” Nikolajus Kozulinas (VU)
„Synthesis and application of nanowires“ dr. Simas Račkauskas (KTU FMNS)
„Numerical modeling methods of electromagnetic phenomena – an overview“ Tomas Klinavičius (KTU FMNS)
„A Top-Down Forecasting Approach: Developing a Deep Learning-Based Reservoir Modeling Tool“ Dovydas Lugas (KTU FMNS)
„An overview of the Kuramoto model“ Algirdas Kazlauskas (KTU FMNS)
„Oil and gas production forecasting using deep learning techniques” Rimantas Paulauskas
„Design study of efficient photocatalyst for water splitting“ Vytautas Kavaliūnas (KTU FMNS)
„Dosimetry in the gamma knife“ dr. Evelina Jaselskė (KTU FMNS)
„The capabilities of the gamma knife in the treatment of complex cases“ Linas Kudrevičius (KTU FMNS and Gamma Knife Center Employee)
„Spectrum structure for a one-dimensional differential real-valued problem with nonlocal boundary conditions” lekt. dr. Kristina Pupalaigė (KTU FMNS)

Events