Mathematics and Physics Science Seminars

Dr. Robertas Alzbutas is a Professor at the Applied Mathematics Department of the Faculty of Mathematics and Natural Sciences of the Kaunas University of Technology. He is a Leading Researcher in the Research Group of Artificial Intelligence, Data Analytics, and Modelling. He has extensive expertise across Data Science, Mathematics, AI, IT, Medicine, Econometrics, and Civil Engineering, including Safety Engineering. His research focuses on big or rare data analysis, risk assessment, Bayesian inference, big data analytics, machine learning, and probabilistic safety assessment. He has led various national and international projects, supervised students and researchers at all levels, and co-authored over 100 highly cited publications.

Dr. Tomas Tamulevičius is Professor of Physics at the Department of Physics, Faculty of Mathematics and Natural Sciences, Institute of Materials Science, Principal Investigator of the research group „Applied Optics and Photonics“. His main research interests are the formation of micro- and nanostructures for optical applications using various lithography technologies: Holographic lithography, surface ablation by laser ultrashort pulses, contact lithography and plasma etching for the formation of stable one and two-dimensional patterns; modelling of the optical response of the structures formed by these techniques and application to laser beam splitters, refractive index sensors, acoustic microscope calibration units, nanoparticle synthesis, micro- and nanoparticle ordering by capillary deposition, cell scaffolds, and anti-counterfeiting elements.

Dr. Liutauras Marcinauskas is Professor of Physics at the Department of Physics, Faculty of Mathematics and Natural Sciences. His research interests include the formation of ceramic, amorphous carbon and nanocomposite layers using plasma forming techniques. Study of optical, electrical, mechanical and tribological properties of thin films. Development of new plasma sources for irradiation of plants and seeds. Professor leader of the research project "Plasma applications for the development of smart and sustainable agriculture".

Dr. Diana Adlienė is Professor of Physics and Head of the Department of Physics at the Faculty of Mathematics and Natural Sciences. Her research interests include radiation physics, radiation pollution, radiation safety, medical physics (iniciator in Lithuania), nuclear and neutron physics, dosimetry. Together with colleagues of the Lithuanian University of Health Sciences, in 2003 he introduced the Master's degree programme in Medical Physics at Kaunas University of Technology, which has been successfully carried out so far, led joint KTU-LSMU research projects, and published more than 100 papers together with co-authors. Her research interests are related to the research and application of ionizing radiation in medicine, i.e. the design and development of dosimetry equipment (gel dosimeters) and methods and materials for the production of dosimeters, in order to achieve individualized treatment of oncological patients in radiation medicine.

Habil. dr. Arvaidas Galdikas is a professor of the Department of Physics at the Faculty of Mathematics and Natural Sciences, Habilitated Doctor, Full Member of the Lithuanian Academy of Sciences. His research interests include: physical and chemical processes of interaction between ionised particles and solid surfaces, mathematical modelling of heterogeneous non-equilibrium processes on solid surfaces. Developed the theory of dynamic processes of plasma nitridation of biomedical metal alloys. Investigated mass transfer mechanisms in binary and ternary alloys. Investigated the formation and growth of nanoclusters and the dynamics of phase structure in the synthesis of thin nanocomposite coatings.

Dr. Tomas Ruzgas is Professor of Applied Mathematics at the Department of Applied Mathematics of the Faculty of Mathematics and Natural Sciences, Head of the Applied Mathematics Degree Programmes Committee, and a member of the research group „Artificial Intelligence, Data Analytics and Modelling“. Dr. T. Ruzgas has been conducting scientific and applied research in the field of data science since 1999. He has participated in projects of SEB Bank, Omnitel, Lithuanian Energy, Lithuanian Customs, State Tax Inspectorate under the Ministry of Finance of the Republic of Lithuania, developing data storage platforms, systems of reports and performance indicators, and implementation of analytical software customization services for the needs of the State Revenue Service.

Dr. Eimutis Valakevičius is a professor in the Department of Mathematical Modeling at the Faculty of Mathematics and Natural Sciences, and he is the head of this department as well as the leader of the research group "Mathematical Modeling of Stochastic, Economic, and Medical Systems." His research focus is on modeling complex stochastic systems using Markov processes and mathematical modeling of financial markets. He has conducted national and international projects, published over 60 scientific publications, and authored two textbooks on investing in financial markets. He supervises the master's program in Applied Mathematics.

Dr. Eligijus Sakalauskas is a professor at the Department of Applied Mathematics of the Faculty of Mathematics and Natural Sciences, a head of scientific group „Cryptography and blockchain systems“. The area of E. Sakalauskas scientific research is information security, cryptography, blockchain systems. In cryptography scientific research is directed to create cryptosystems satisfying post-quantum cryptographic security requirements. It means that such cryptographic systems must be realized by the classical computers but at the same time they must be not vulnerable to quantum cryptanalysis realized by quantum computers. In the area of blockchain research the investigations are directed toward creation of anonymous and confidential and at the same time verifiable transactions in order to monitor and control business processes. In these investigations two PhD students are involved.

Habil. dr. Minvydas Kazys Ragulskis is a professor at the Department of Mathematical Modelling, Faculty of Mathematics and Natural Sciences, full member of the Lithuanian Academy of Sciences, member of the Scientific Advisory Board of The HeartMath Institute, Boulder Creek, USA, and Principal Investigator at the research group „Center for Mathematical Investigation of Nonlinear Systems“. His main research interests are dynamics and chaos of nonlinear systems. Together with the specialists of the Institute of Cardiology (LSMU) and the Institute of Cardiac Mathematics, a number of pioneering studies have been carried out on the human cardiovascular system.

Dr. Giedrius Laukaitis is the Vice Dean for Research of the Faculty of Mathematics and Natural Sciences, Professor at the Department of Physics, Principal Investigator of the research group "Formation, Research and Application of Multifunctional Thin Structures and Nanocomposites". Giedrius Laukaitis has more than 20 years of research experience in the areas of thin film and nanostructure formation using Physical Deposition Technologies, catalytic and proton conducting materials, oxygen ion conducting materials and mixed conductors, as well as much longer experience in the areas of formation of hydrogen fuel cell components, thin film deposition and technologies, surface and thin film analysis methods, mechanical and thermal stresses in thin films.

Dr. Audrius Kabašinskas is a professor at the Department of Mathematical Modelling, Faculty of Mathematics and Natural Sciences, KTU, head of the KTU Master's degree programme in Applied Mathematics, a member of the mathematics degree programme committee, and a member of the research group „Artificial Intelligence, Data Analytics and Modelling“. Since 2020, the scientist represents Lithuania in the European Consortium for Mathematics in Industry and is a member of the Council of this organisation. His research focuses on operations research, decision analysis and optimisation. His research interests include VAT discrepancy detection, pension system models, commodity market research, cryptocurrency risk and arbitrage assessment.