Graduated from the Kalashnikov IzhSTU, Faculty of Applied Mathematics
Irina Iumanova
Senior researcher

Biography
Specialization
Subjects taught
Optimization methods, machine learning, algorithms and methods of machine learning, project workshop
Information about professional development
Professional retraining "Teaching English according to the format of the Cambridge Preliminary English Test (PET) exam", Ural Federal University named after the first President of Russia B.N. Yeltsin (72 hours)
Professional Retraining "Teaching English according to the Cambridge First Certificate in English (FCE) exam format Module 1", Ural Federal University named after the First President of Russia B.N. Yeltsin (72 hours)
Professional retraining "Teaching English according to the Cambridge First Certificate in English (FCE) exam format Module 2, Module 3", Ural Federal University named after the First President of Russia B.N. Yeltsin (72 hours)
Advanced training "Implementation of an educational program in the context of the development of an electronic information and educational environment of a university", Ural Federal University named after the First President of Russia B.N. Yeltsin (18 hours)
Advanced training "Creation of a modern educational space and infrastructure of an educational organization for the effective implementation of online learning in the educational process", Ural Federal University named after the First President of Russia B.N. Yeltsin (36 hours)
Advanced training in First Aid, Ural Federal University named after the First President of Russia B.N. Yeltsin (24 hours)
Professional retraining in Information Systems and Technologies: scientific and Professional Foundations of Teaching disciplines in higher Education Programs, Ural Federal University named after the First President Russia of B.N. Yeltsin" (252 hours)
Advanced training "Key competencies of a teacher in the Digital age", Ural Federal University named after the First President of Russia B.N. Yeltsin (72 hours)
Advanced training "English as a teaching tool", UrFU named after the first President of Russia B.N. Yeltsin (94 hours)
Advanced training "Information security for a modern teacher", National Research Nuclear University "MEPhI" (16 hours)
Advanced training "Big Data processing Technologies", National Research Nuclear University "MEPhI" (16 hours)
Advanced training "Methods and technologies based on working with data", Autonomous non-profit Organization of Higher Education "Innopolis University" (120 hours)
Advanced training "Digital Summer"Cybersecurity Track", ANO DPO "Sberbank Corporate University" (99 hours)
Advanced training "Basic competencies for the implementation of disciplines in the field of artificial intelligence (Natural language analysis)", National Research University Higher School of Economics (36 hours)
Advanced training "Development of a University Division Breakthrough Strategy", Ural Federal University named after the First President of Russia B.N. Yeltsin (72 hours)
Advanced training "Engineering and hydrological work as part of engineering and hydrometeorological surveys", Ural Federal University named after the First President of Russia B.N. Yeltsin (72 hours)
Advanced training "Design, promotion and implementation of competitive educational products of the Master's degree", Ural Federal University named after the First President of Russia President of Russia B.N. Yeltsin" (72 hours)
Advanced training "Summer Digital School. Track "Data Science", ANO DPO "Corporate University of Sberbank" (132 hours)
Advanced training "Teaching modern AI at the top level: a systemic vision", ITMO National Research University (97 hours)
Advanced training "Improving educational processes: from practice-oriented learning to the implementation of grant initiatives", Tyumen State University (32 hours)
Research interests
- mathematical modeling, computational mathematics, and numerical methods;
- artificial intelligence, machine learning, and data mining in the power industry;
- explainable artificial intelligence, knowledge extraction, and knowledge representation.