Srpski
English
|
|
Center for Data Mining and Bioinformatics (CIPB) is a research laboratory at Faculty of Agriculture, University of Belgrade, oriented towards applications of mathematics and computer science in life sciences. Beside scientific research, CIPB provides various services in data analysis and management. Also, this center deals with research in the field of artificial intelligence and its application both in other sciences and in education. For additional information, feel free to contact us. |
|
Current activitiesAn exhibition of graphics created with the help of artificial intelligence opened in New York and Novi Sad Application of machine learning when data is missing Image analysis. Detection of deliberately altered content in an image using fuzzy metrics. Analysis of results obtained from Raman spectroscopy of biological samples Bioinformatics analysis of plant virus's nucleotide sequences Development of terminological dictionaries for agricultural domain and its sub-domains CIPB services- analysis of biological data using mathematics and statistics, as well as specific methods of data mining - development and analysis of mathematical models - organizing specialized courses in the field of data analysis - organizing specialized courses in the field of programming for scientific research purposes (R, Matlab...) - designing and developing databases - automatic processing of textual data and information extraction from text (text mining) Working with students- teaching several courses at all departments of Faculty of Agriculture and at all study levels (undergraduate, master and Ph.D.); several courses are taught at other faculties of University of Belgrade - mentoring students in graduate, mentor and Ph.D. thesis development - taking part in Wikimedia Serbia's program for educational institutions (engaging students in writing Wikipedia articles) |
Current projectsPRISMA program, Science Fund of the Republic of Serbia, 2023. Project leader, full professor dr Nebojša Ralević. Title of the project: Mathematical Methods in Image Processing under Uncertainty (MaMIPU) Development of higher education in 2021. The Project leader, assistant professor dr Nataša Milosavljević University cooperation program funded by the American Embassy 2021 Artificial Intelligence and Digital Technologies for University Distance Education (University of Belgrade - Faculty of Agriculture and University of North Carolina NCCU),project. The Project leader prof. Dr. Vladimir Pavlović CA19124 CIRCUL-A-BILITY, Rethinking Packaging for Circular and Sustainable Food Supply Chains of the Future, 2020 ERASMUS+ Programme, 2016 Development of new information and communication technologies, based on advanced mathematical methods, with applications in medicine, telecommunications, power systems, protection of national heritage and education - III 44006 (since 2011) Tempus project "Blending academic and entrepreneurial knowledge in technology enhanced learning", BAEKTEL
Tempus project "Interdisciplinary Curricula in Computing to Meet Labor Market Needs", INCOMING
COST action IC1302: Semantic Keyword-based Search on structured data sources, Keystone COST action FA1407: Application of next generation sequencing for the study and diagnosis of plant viral diseases in agriculture, DIVAS COST action TD1409: Mathematics for industry network, MI-NET COST action BM1006: Next Generation Sequencing Data Analysis Network, SeqAhead Scientific projects funded by Ministry of science and technological development, Republic of SerbiaTR 30163: Using new genotypes and technological innovations for improving fruit and vine production TR 31051: Improvement of biotechnological procedures as a function of rational utilization of energy, agricultural products productivity and quality increase 178006: Serbian language and its resources: theory, description and applications |
Center for data mining and bioinformatics
University of Belgrade - Faculty of Agriculture