Dmitry V. Soshnikov
- Associate Professor: Faculty of Computer Science / School of Software Engineering
- Dmitry V. Soshnikov has been at HSE University since 2009.
- Language Proficiency
- English
- Italian
- Contacts
- Phone:
28240 - Address: 11 Pokrovsky Bulvar, Pokrovka Complex, room S913
- ORCID: 0000-0003-1021-091X
- ResearcherID: N-4321-2017
- Scopus AuthorID: 23394045400
- Google Scholar
- Blogs
- VK
- Supervisor
- S. Lebedev
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Education, Degrees and Academic Titles
2006
Associate Professor2002
Candidate of Sciences* (PhD)2002
Doctoral programme in Mathematical Support and Software in Computers, Complexes and Computer NetworksMoscow Aviation Institute
1999
Degree in Applied MathematicsMoscow Aviation Institute
* Candidate of Sciences
According to the International Standard Classification of Education (ISCED) 2011, Candidate of Sciences belongs to ISCED level 8 - "doctoral or equivalent", together with PhD, DPhil, D.Lit, D.Sc, LL.D, Doctorate or similar. Candidate of Sciences allows its holders to reach the level of the Associate Professor.
According to the International Standard Classification of Education (ISCED) 2011, Candidate of Sciences belongs to ISCED level 8 - "doctoral or equivalent", together with PhD, DPhil, D.Lit, D.Sc, LL.D, Doctorate or similar. Candidate of Sciences allows its holders to reach the level of the Associate Professor.
Awards and Accomplishments
Best Teacher — 2011
Courses (2024/2025)
- Applied application of generative neural networks in creative industries and industrial design (Bachelor’s programme; Faculty of Creative Industries field of study Fine Art; 4 year, 1, 2 module)Rus
- Applied application of generative neural networks in creative industries and industrial design (Bachelor’s programme; Faculty of Creative Industries field of study Fine Art; 2 year, 2, 3 module)Rus
- Applied application of generative neural networks in creative industries and industrial design (Bachelor’s programme; Faculty of Creative Industries field of study Design; 4 year, 1, 2 module)Rus
- Applied application of generative neural networks in creative industries and industrial design (Bachelor’s programme; Faculty of Creative Industries field of study Design; 4 year, 1, 2 module)Rus
- Applied application of generative neural networks in creative industries and industrial design (Bachelor’s programme; Faculty of Creative Industries field of study Design; 2 year, 2, 3 module)Rus
- Applied application of generative neural networks in creative industries and industrial design (Bachelor’s programme; Faculty of Creative Industries field of study Design; 2 year, 2, 3 module)Rus
- Applied application of generative neural networks in creative industries and industrial design (Bachelor’s programme; Faculty of Management field of study Design; 4 year, 1, 2 module)Rus
- Applied application of generative neural networks in creative industries and industrial design (Bachelor’s programme; Faculty of Management field of study Design; 3 year, 1, 2 module)Rus
- Applied application of generative neural networks in creative industries and industrial design (Bachelor’s programme; Faculty of Management field of study Design; 2 year, 1, 2 module)Rus
- Applied application of generative neural networks in creative industries and industrial design (Bachelor’s programme; Faculty of Humanities (Nizhny Novgorod) field of study Design; 2 year, 2, 3 module)Rus
- Applied application of generative neural networks in creative industries and industrial design (Bachelor’s programme; Faculty of Humanities (Nizhny Novgorod) field of study Design; 4 year, 1, 2 module)Rus
- Applied application of generative neural networks in creative industries and industrial design (Bachelor field of study Design; 4 year, 1, 2 module)Rus
- Applied application of generative neural networks in creative industries and industrial design (Bachelor field of study Design; 2 year, 2, 3 module)Rus
- Applied application of generative neural networks in creative industries and industrial design (Bachelor field of study Design; 3 year, 3, 4 module)Rus
- Creating a creative production infrastructure using artificial intelligence tools (Bachelor’s programme; Faculty of Creative Industries field of study Fine Art; 3 year, 3, 4 module)Rus
- Creating a creative production infrastructure using artificial intelligence tools (Bachelor’s programme; Faculty of Creative Industries field of study Design; 3 year, 3, 4 module)Rus
- Creating a creative production infrastructure using artificial intelligence tools (Bachelor’s programme; Faculty of Creative Industries field of study Design; 3 year, 3, 4 module)Rus
- Creating a creative production infrastructure using artificial intelligence tools (Bachelor’s programme; Faculty of Humanities (Nizhny Novgorod) field of study Design; 3 year, 3, 4 module)Rus
- Functional and Logic Programming (Bachelor’s programme; Faculty of Computer Science field of study Software Engineering; 3 year, 1, 2 module)Eng
- Past Courses
Courses (2023/2024)
- Functional and Logic Programming (Bachelor’s programme; Faculty of Computer Science field of study Software Engineering; 3 year, 1, 2 module)Eng
Courses (2022/2023)
- Functional and Logic Programming (Bachelor’s programme; Faculty of Computer Science field of study Software Engineering; 3 year, 1, 2 module)Eng
Courses (2021/2022)
- Functional and Logic Programming (Bachelor’s programme; Faculty of Computer Science field of study Software Engineering; 3 year, 1, 2 module)Eng
Courses (2020/2021)
- Functional and Logic Programming (Bachelor’s programme; Faculty of Computer Science field of study Software Engineering; 3 year, 1, 2 module)Eng
28
Jan
2025
‘Close Technologies’: Exhibition on Digital Sensorics Opens at Tula Machine Tool Museum
Until March 16, 2025, the Machine Tool Museum, located in the Oktava creative industrial cluster, is hosting an exhibition organised by curators from the HSEArt and Design School. The exhibition explores the phenomenon of multisensoriality and features projects by the school's teachers.