During the course of two weeks, on 8, 9, 15, 16, 18, and 19 June 2020, CDISE together with the Education office have hosted a series of MSc defenses: eight panels for the DS program and two panels for the IST program, to be precise. All in all, we got 91/93 DS students and 22/24 IST students who got As or Bs. This is a fantastic result for the Skotech CDISE center!
We would like to congratulate all CDISE students who have successfully defended their thesis and CDISE research advisors for their great advising!
Also, we are cordially grateful to our Chairmen Vadim Strijov, Anton Konushin, and Vladimir Lyashev for their titanic work of evaluation of students’ works as well as all external and CDISE state examination committee members for their dedication and expert evaluations.
Below you can find all the thesis titles of MSc defenses 2020 of Data Science and Information Science and Technology programs:
| Student | Advisor | Thesis Title | Identifier | Program |
| Biktairov Yury | Gonzalo Ferrer | Predicting vehicle motion by ranking possible trajectories | MIPT | Data Science |
| Bokhovkin Alexey | Evgeny Burnaev | Registration of 3D scene fragments using Deformable Shapes | MIPT | Data Science |
| Denisenko Dmitry | Mikhail Belyaev | Fast & robust segmentation of critical structures for radiation therapy planning | MIPT | Data Science |
| Gavrilchik Konstantin | Dmitry Yarotsky | Deep Learning for Automatic Video Editing | MIPT | Data Science |
| Janabekova Aliya | Grigory Kabatyansky | Upper and lower bounds on codes with separating properties of different types | MIPT | Data Science |
| Pimkin Artem | Mikhail Belyaev | Multidomain CT Metal Artifacts Reduction Using Partial Convolution Based Inpainting | MIPT | Data Science |
| Riabukhina Daria | Anh-Huy Phan | Multichannel blind deconvolution methods | MIPT | Data Science |
| Sagirova Alsu | Evgeny Burnaev | Semi-Supervised Time Series Classification for Web User Return Time | MIPT | Data Science |
| Smerdov Anton | Andrey Somov | Deep Learning Approach for Modeling Esports Athletes’ Behavior Through the Multimodal Sensor Data | MIPT | Data Science |
| Snorovikhina Viktoriia | Alexey Zaytsev | Unsupervised anomaly detection for semi-structured sequence healthcare data | MIPT | Data Science |
| Tsimboy Olga | Ivan Oseledets | Denoising Score Matching with Random Fourier Features | MIPT | Data Science |
| Araslanova Anna | Evgeny Burnaev | Representations of neural network graphs for effective architecture search | Network: HSE | Data Science |
| Atanov Andrei | Vladimir Spokoiny | Learning Deep Models with Small Data | Network: HSE | Data Science |
| Fadeeva Anastasiia | Vladimir Spokoiny | White-Box Adversarial Attacks on Classification in NLP | Network: HSE | Data Science |
| Gadetsky Artyom | Vladimir Spokoiny | Low-variance Gradient Estimates for the Plackett- Luce Distribution | Network: HSE | Data Science |
| Kozlukov Sergei | Vladimir Spokoiny | Geometric Deep Learning for Inverse Graphics | Network: HSE | Data Science |
| Lyzhov Alexander | Evgeny Burnaev | Deep neural network ensembles: analysis and approaches to diversification | Network: HSE | Data Science |
| Matyushin Leonid | Vladimir Spokoiny | Speeding up neural networks with variational Bayes | Network: HSE | Data Science |
| Rubashevskii Alexandr | Dmitry Dylov | Near-infrared to visible image translation via convolutional neural networks and reinforcement learning | Network: HSE | Data Science |
| Saparina Irina | Vladimir Spokoiny | Cost-sensitive Training for Autoregressive Models | Network: HSE | Data Science |
| Stulov Nikolai | Michael Chertkov | Neural particle image velocimetry | Network: HSE | Data Science |
| Trofimova Ekaterina | Vladimir Spokoiny | Reconstruction of 3D shower structures for neutrino experiments | Network: HSE | Data Science |
| Tursynbek Nursilam | Ivan Oseledets | Adversarial Attacks in Machine Learning | Network: HSE | Data Science |
| Voronkova Darya | Vladimir Spokoiny | Looking for Scale Invariance in Loss Landscape | Network: HSE | Data Science |
| Zharkynbay Bakhyt | Vladimir Spokoiny | Solving optimal stopping problems via approximate dynamic programming | Network: HSE | Data Science |
| Balitskiy Gleb | Alexey Frolov | Design and Decoding of Polar Codes for Asynchronous and Synchronous Random access | Network: MIPT | Data Science |
| Bulygin Ivan | Victor Lempitsky | 3D Human Pose Estimation from Monocular Videos | Network: MIPT | Data Science |
| Dzis Andrei | Alexey Frolov | On Freshness of Information for Multiple Random Access | Network: MIPT | Data Science |
| Kaziakhmedov Edgar | Grigory Kabatyansky | Developing a watermarking algorithm for deep neural networks with no extra training | Network: MIPT | Data Science |
| Khakhulin Taras | Ivan Oseledets | Learning Heuristics for Solving Tree Decomposition via Reinforcement Learning and Graph Representation | Network: MIPT | Data Science |
| Kireev Klim | Grigory Kabatyansky | Black-box adversarial attacks on face recognition systems | Network: MIPT | Data Science |
| Koposov Denis | Andrey Somov | Analysis of eSports players’ gaze using machine learning | Network: MIPT | Data Science |
| Lopatkin Daniil | Andrey Somov | AI-based Human-Machine Interface for Drone Control | Network: MIPT | Data Science |
| Melnikov Grigorii | Grigory Kabatyansky | Random number generators in blockchains | Network: MIPT | Data Science |
| Pautov Mikhail | Ivan Oseledets | Adversarial attacks in the real world | Network: MIPT | Data Science |
| Savinov Andrey | Andrey Ivanov | Channel estimation via algorithm with neural network structure | Network: MIPT | Data Science |
| Skuratov Nikolay | Alexander Bernstein | Building new models based on biomedical training data and preliminary constructed predictive models | Network: MIPT | Data Science |
| Tsepa Stanislav | Gonzalo Ferrer | Multiscale normal estimation on point clouds for plane extraction and robotics perception | Network: MIPT | Data Science |
| Abramov Semen | Andrey Somov | Analysis of Multimodal eSports Data for the Assessment of Players’ Skills | Data Science | |
| Airapetyan Lusine | Ivan Oseledets | Developing single channel EEG-based HCI system via eye movements analysis | Data Science | |
| Alexeychuk Nikita | Alexey Artemov | Robustifying differentiable architecture search with Bayesian evidence | Data Science | |
| Allahverdiyev Mahmud | Sergey Rykovanov | Analytic graph processing on GPUs using compressed data | Data Science | |
| Belikova Kristina | Dmitry Dylov | Negative Volume 3D Segmentation in Joints with Deep Learning Methods | Data Science | |
| Blagoveschensky Philip | Anh-Huy Phan | Deep convolutional tensor network | Data Science | |
| Botashev Kazii | Victor Lempitsky | Marker-based visual-inertial odometry for smartphone VR systems | Data Science | |
| Buglakova Elena | Petr Popov | Deciphering ionic flow in Aerolysin nanopore by molecular dynamics simulation | Data Science | |
| Chesakov Daniil | Dmitry Dylov | Image Captioning with Attention: How to increase speed and quality of X-Ray diagnostics | Data Science | |
| Dzunja Dejan | Sergey Rykovanov | Data-Driven Model for Fuel Injection Parameters Prediction in Diesel Engine Injectors | Data Science | |
| Feshchenko Ilya | Andrzej Cichocki | Optimized On-Line Portfolio Selection using Machine Learning and Deep Neural Networks | Data Science | |
| Fursov Ivan | Evgeny Burnaev | Adversarial attacks on symbolic sequence classifiers | Data Science | |
| Gabuev Yuriy | Ivan Oseledets | Generating Sound Textures with Neural Networks | Data Science | |
| Gazdieva Milena | Alexey Artemov | Network Tikhonov regularization in depth super- resolution problem | Data Science | |
| Glazov Vsevolod | Gonzalo Ferrer | Real-Time 3D LiDAR point cloud semantic segmentation for pedestrian detection | Data Science | |
| Golovatskikh Ivan | Ivan Oseledets | Mobile network routing using reinforcement learning approach | Data Science | |
| Kaloshin Pavel | Anh-Huy Phan | Convolutional neural networks compression with low rank and sparse tensor decompositions | Data Science | |
| Karimov Rasul | Victor Lempitsky | CNNs with large memory layers | Data Science | |
| Kiryanov Roman | Dmitry Dylov | Optimization of Imager PSF with GAN | Data Science | |
| Kochurov Maksim | Evgeny Burnaev | Mixed curvature representations in deep learning models | Data Science | |
| Kolos Maria | Evgeny Burnaev | Differentiable rendering of 3D point clouds | Data Science | |
| Kononenko Evgenii | Victor Lempitsky | Voice based face keypoints animation in the wild | Data Science | |
| Kotelevskii Nikita | Maxim Panov | Enhancing Variational Inference with Markov Chain Monte Carlo | Data Science | |
| Kovalenko Ekaterina | Andrey Somov | Comparative study of Machine and Deep learning methods using multimodal data for Parkinson’s Disease assessment | Data Science | |
| Kovalev Evgeny | Andrzej Cichocki | Compression and Acceleration of Deep Convolutional Neural Networks Using Correlations Analysis of Feature Maps and Filter Weights | Data Science | |
| Krylov Dmitriy | Dmitry Dylov | Reinforcement learning for suppression of collective activity in oscillatory ensembles | Data Science | |
| Lazareva Elizaveta | Dmitry Dylov | Multi-region segmentation with spatio-temporal convolutions | Data Science | |
| Loginov Fedor | Nikolay Brilliantov | Modeling of Multiphase Flows for Extremal Conditions | Data Science | |
| Maksimov Ivan | Evgeny Burnaev | Adressing cold start in recommender systems with hierarchical graph neural networks | Data Science | |
| Malyasova Viktoriya | Anh-Huy Phan | Voice Conversion | Data Science | |
| Mazur Kirill | Gonzalo Ferrer | Cloud Transformers | Data Science | |
| Melentev Nikita | Andrey Somov | eSports EEG data analysis using machine learning methods | Data Science | |
| Musavian Mirfarid | Anh-Huy Phan | Graph based Convolutional Neural Networks for analysis of EEG signals | Data Science | |
| Nagapetyan Albert | Ivan Oseledets | Low-rank methods for compression of modern deep neural networks and compression of convlstm using tensor train | Data Science | |
| Orlova Elena | Andrzej Cichocki | Tensor Train and Tensor Ring Decompositions for Networks Compression | Data Science | |
| Osipov Nikolay | Alexey Frolov | Investigation QC-MDPC codes decoding methods for application in post quantum cryptography | Data Science | |
| Osokin Ilya | Andrzej Cichocki | Generative NN-based model for humanoid robot dance movements with audio input | Data Science | |
| Pakulev Konstantin | Gonzalo Ferrer | Fast simultaneous detection and description of keypoints | Data Science | |
| Pankov Alexei | Alexey Artemov | Optimization for line drawing vectorization | Data Science | |
| Pilyugina Polina | Evgeny Burnaev | Towards an Ensemble of Topological-based models for Time Series Classification | Data Science | |
| Pirov Khurram | Gonzalo Ferrer | Deep features in real biometric tasks | Data Science | |
| Pletnev Aleksandr | Evgeny Burnaev | Graph neural networks for time series model selection | Data Science | |
| Pominova Marina | Evgeny Burnaev | Development of neural network architectures for psychoneurological diseases recognition from functional MRI | Data Science | |
| Rakhimov Ruslan | Evgeny Burnaev | Autoregressive video generative model based on latent dynamics | Data Science | |
| Razzhigaev Anton | Alexander Panchenko | Text-to-triple: retrieval of knowledge graph triples for question answering | Data Science | |
| Ryzhova Anastasiia | Maxim Fedorov | Machine learning methods for topical text categorization | Data Science | |
| Sadri Mohammad Ali | Andrzej Cichocki | Investigation of Cooperation Abilities and Social Intelligence of Elite Esport Game Players | Data Science | |
| Shafarostov Artem | Victor Lempitsky | Learning a compact representation for Dense Point Clouds | Data Science | |
| Shalova Anna | Ivan Oseledets | Deep Representation Learning for Dynamical Systems Modeling | Data Science | |
| Shvetsov Nikolay | Dmitry Dylov | Unsupervised non-parametric change point detection in electrocardiography | Data Science | |
| Sindeeva Maria | Ivan Oseledets | Black-box adversarial attacks | Data Science | |
| Strizhkova Valeriia | Victor Lempitsky | Human Pose Estimation from Inertial Measurement Units | Data Science | |
| Taktasheva Maria | Alexey Artemov | Deep learning for modelling N-directional fields | Data Science | |
| Tsukanov Roman | Victor Lobachev | Affect of technological parameters of steel production on physical properties of the steel | Data Science | |
| Vlasov Andrei | Maxim Panov | Machine-aided multi- document summarization of scientific papers | Data Science | |
| Yoo Woongseon | Anh-Huy Phan | Computing quantum games | Data Science | |
| Balakina Ekaterina | Dmitry Dylov | Face-skull transfer learning symmetry detection pipeline | Network SUAI | Information Science and Technology |
| Borovkov Nikita | Alexander Panchenko | Natural language understanding of comparative queries | Network SUAI | Information Science and Technology |
| Furaev Filipp | Alexander Panchenko | Comparative question answering dialogue system | Network SUAI | Information Science and Technology |
| Gorokhov Andrey | Alexey Frolov | Research and development of decoding methods for LDPC codes in 5G networks | Network SUAI | Information Science and Technology |
| Nesteruk Sergei | Andrey Somov | Identification of a Plant Phenotype Using Computer Vision | Network SUAI | Information Science and Technology |
| Zeulin Nikita | Alexey Frolov | Research on decoding algorithms beyond half designed distance in the Manhattan metric | Network SUAI | Information Science and Technology |
| Alenicheva Alisa | Maxim Fedorov | Predicting the acute toxicity of organic molecules using 3D-convolutional neural networks | Information Science and Technology | |
| Anikina Anna | Dmitry Dylov | System-software phantom for tremor suppression by using reinforcement learning | Information Science and Technology | |
| Bozhedarov Anton | Jacob Biamonte | Robustness of Quantum Approximate Optimization Algorithm | Information Science and Technology | |
| Frolov Mikhail | Maxim Fedorov | Optimized molecular grammars for in silico drug discovery | Information Science and Technology | |
| Kozyrsky Nikolai | Anh-Huy Phan | Acceleration of convolutional neural networks by low-rank approximation with quantized factors | Information Science and Technology | |
| Kupchenko Leonid | Grigory Kabatyansky | Efficiency of data processing on low power devices | Information Science and Technology | |
| Lakidon Pavel | Maxim Panov | Low-rank Deep Kernel Learning | Information Science and Technology | |
| Lukoshkin Vladislav | Ivan Oseledets | Generalized Finite Element Solver for Multiscale Problems | Information Science and Technology | |
| Makarova Ksenia | Andrzej Cichocki | Action recognition and motion prediction in human- robot interaction | Information Science and Technology | |
| Matvienko Ivan | Ivan Oseledets | Agricultural fields segmentation and crop classification based on multispectral satellite images | Information Science and Technology | |
| Naidenov Ivan | Alexey Frolov | Application of deep learning methods to decoding of linear codes | Information Science and Technology | |
| Nazirkhanova Kamilla | Alexey Frolov | Codes correcting tandem duplications | Information Science and Technology | |
| Prutyanov Viktor | Andrey Somov | Neural networks optimization for embedded systems in precision agriculture applications | Information Science and Technology | |
| Saigina Elizaveta | Alexander Bernstein | Machine learning pipeline for neuroimaging data | Information Science and Technology | |
| Talitsky Alexander | Andrey Somov | Data-Driven Parkinson’s Disease analysis based on hand-written and sensor data | Information Science and Technology | |
| Yagafarova Ksenia | Ivan Oseledets | Context based user routines prediction on mobile devices | Information Science and Technology | |
| Yudina Elizaveta | Maria Pukalchik | Comparison of metaheuristic algorithms to minimize the training sample for constructing regression model in the case of water quality assessing | Information Science and Technology | |
| Yudnikov Alexander | Dmitry Lakontsev | Comprehensive analysis of LTE/NR users experience dependency on channel aging and pilots contamination phenomena | Information Science and Technology |