Профессорско-преподавательский состав программы владеет высокой профессиональной подготовкой, а также имеет международный авторитет и широкие связи с зарубежными университетами и научно-исследовательскими центрами.
My PhD thesis was "Influence of the alleles of the small bristles (sbr) gene on reproductive functions of females and morphogenesis at Drosophila melanogaster". Postdoctoral, I continue to work at Department of Genetics. Currently, we are investigating the role of evolutionarily conserved RNA-binding protein NXF1 (nuclear export factor) in embryogenesis, spermatogenesis, oogenesis, and neurogenesis and neurodegeneration. The range of interests includes in the first place, developmental genetics and evolution of genes.
Lev V. Utkin
Received my PhD from the Leningrad Institute of Electrical Engineering (now St. Petersburg State Electrotechnical University) in information processing and control systems (1989). Thesis: “Variance reduction technique for computing the noise immunity measures of communication systems”.
Received my DSc from the St. Petersburg State Institute of Technology (Technical University) in mathematical modelling, numerical methods and software systems (2001). Thesis: “Methods and models for the reliability and safety analysis of information systems under incomplete information”.
Currently Professor at the Telematics Department (under the Central Scientific Research Institute of Robotics and Technical Cybernetics), Institute of Applied Mathematics and Mechanics, Peter the Great Saint-Petersburg Polytechnic University.
Member of the Society for Imprecise Probability Theory and Applications (SIPTA), member of the International Society on Multiple Criteria Decision Making (ISMCDM). Awarded an Alexander von Humboldt Foundation Fellowship (2001-2003), Munich Ludwig-Maximilian University (LMU), Department of Statistics. • Member of the Higher Attestation Commission of Russia in Computer Science from 2014. Issued more than 300 research publications including six books.
Research interests are focused on machine learning, artificial intelligence, imprecise probability theory, decision making, risk analysis and bioinformatics. Special interests are machine learning models by small, uncertain and imprecise training data.
Natalia Kadyrova, Associate Professor, Department of Applied Mathematics, St. Petersburg Polytechnical University. Education: Leningrad State University, M.Sc. (Mathematics) ; Ph.D in Biology, Central Research Institute of Roentgenology and Radiology, Ministry of Public Health of the USSR (Leningrad). Teaching experience: Graduate courses in numerical methods, programming languages, probability theory and mathematical statistics. Special courses: "Survival data analysis", "Big data analysis: support vector machines".
Research supported by grants and visiting positions: ICRETT Grant of the International Union Against Cancer, University Rene Descartes, Laboratory of Medical Statistics. Paris, France. Grant of the Association pour la Recherche sur le Cancer, Curie Institute, Department of Biostatistics. Paris, France. Main activities in applications of probabilistic and statistical methods to radiobiology and clinical oncology. At present the main research field is data mining (big data analysis), in particular SVM-methods.
D.Sc, Senior Researcher
I received my DSc degree in 2008. At present I am Professor at Department of Applied Mathematics and Head of Mathematical Biology and Bioinformatics Laboratory of the Peter the Great St. Petersburg Polytechnic University. I also lead Master program in Bioinformatics, supervise master and PhD projects. I am an author of 79 scientific papers published in distinguished international journals. I am a Principal Investigator of many grants and projects awarded by International and Russian foundations and organizations, an editorial board member of Mathematical biology and Bioinformatics Journal and Vavilov Journal of Genetics and Breeding, a member of the Russian Academy of Sciences Scientific Council on mathematical biology and bioinformatics, member of program committees of many international conferences and invited speaker at many conferences. My focus is on both modeling of biological processes and development of methods and algorithms for analysis and processing of biological data.
D.Sc is A.P. & H.D.
Maxim Frolov, D.Sc is Associate Professor and Head of Department of Applied Mathematics at Peter the Great St.Petersburg Polytechnic University. He graduated form this Department in 2001 and in 2004, after three years of postgraduate training, defended PhD thesis in 05.13.18 –“Mathematical modeling, numerical simulations and program complexes” under supervision of Prof. Sergey Repin. Maxim Frolov main scientific interests are problems of mechanics and mathematical physics and development of reliable methods for numerical solution of these problems based on aposterior control of accuracy.
Georgy L. Shevlyakov
Georgy L. Shevlyakov received the M.S. degree in control and system theory (summa cum laude) and the Ph. D. degree in signal processing and information theory from the Leningrad Polytechnic Institute, Leningrad, Russia, in 1973 and 1976, respectively. In 1991, he received the Dr. Sc. degree in mathematical and applied statistics from the St. Petersburg Technical University, St. Petersburg, Russia.
From 1976 to 1979, he was with the Biometrics Group at the Vavilov Research Institute in Leningrad as a Research Associate. From 1979 to 1986, he was with the Department of Mechanics and Control Processes at the Leningrad Polytechnic Institute as a Senior Researcher working in the field of robust statistics and signal processing. From 1986 to 1992, he was with the Department of Mathematics of the St. Petersburg Technical University as an Associate Professor, and from 1992 to 2003 as a Professor. From 2003 to 2009 he was a Visiting IT Professor at the Department of Information and Communications, Gwangju Institute of Science and Technology (GIST), Korea. He is currently a Professor at the Department of Applied Mathematics of Peter the Great St. Petersburg Polytechnic University. His research interests include robust and nonparametric statistics, data analysis, queuing and information theory with their applications to signal processing. He published 3 monographs on robust statistics (2002, 2011 and 2016), 1 text-book on probability and mathematical statistics (2001), and more than 100 papers. He is a member of IEEE and Bernoulli societies.
I recieved my PhD from the Ioffe Institute, St. Petersburg
I work at the Ioffe Institute, Laboratory of Applied Mathematics and Mathematical Physics
I lecture at the Peter the Great St. Petersburg Politechnic University, course in the Equations of Mathematical Physics