
Mag. Stanislav Smirnov
Fähigkeiten und Kenntnisse
Werdegang
Berufserfahrung von Stanislav Smirnov
- Bis heute 7 Jahre und 10 Monate, seit Aug. 2017
Student research assistant
University of Paderborn
Student research assistant in Theoretical Electrical Engineering department. Job responsibilities: • Modeling of plasmonic nanoparticles in COMSOL • Modeling ferroelectric permittivity dependence on electric field • Tutoring and homework correction in subject Fields and Waves, Modeling and Simulations
- 11 Monate, Aug. 2017 - Juni 2018
Student research assistant
University of Paderborn
Student research assistant in Signal and System Theory Group, working on a project with company Stryker. • Image processing and segmentation • Developing Active Shape Models of Femur bone
- 4 Monate, Mai 2017 - Aug. 2017
Research Intern
Leopold Kostal GmbH & Co. KG, Dortmund
Intern in Automotive electrical system department (Gesture recognition using Deep Learning) Achievements: • 80% valid. Accuracy on top-5 gestures using static images with CNN • 76% valid. Accuracy on top-5 gestures using video frames with LSTM
- 4 Monate, Nov. 2016 - Feb. 2017
Student research assistant
University of Paderborn
Student research assistant in the Mathematics department. • Programming Lie groups in GAP
- 2 Jahre und 5 Monate, Dez. 2012 - Apr. 2015
Network Optimization Engineer at Radio Planning department.
Megafon
Network Optimization Engineer at Radio Planning department. Team - Lead of the "Network Optimization Team" including me, and two drive-test engineers. Achievements: • According to the results obtained in 2013, the amount of CS call drop rate in 2G network was reduced by 0.2% (Siemens Vendor) • According to the results obtained in 2014, the Inter-Rat Handover success rate in UMTS network increased by 0.8% • Appreciation letter from the CEO of the Republic Bashkortostan branch of PJSC “Megafon”
Ausbildung von Stanislav Smirnov
- 3 Jahre und 4 Monate, Apr. 2015 - Juli 2018
Elektrotechnik/ Electrical Engineering
Universität Paderborn
Major in Signal and Information Processing. Master Thesis: Enhance Object Recognition in Fine-Art Paintings Using Deep Learning Based Systems Research Project: Art investigation “Automatically identifying Van Gogh’s paintings” using Convolutional Neural Network (CNN)
- 1 Jahr und 10 Monate, Sep. 2010 - Juni 2012
Telecommunications engineering
Ufa State Aviation Technical University
Optical and Telecommunication networks.
Sprachen
Englisch
Fließend
Deutsch
Gut
Russisch
Muttersprache
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