Computer Vision Lab

Nikolay Falaleev

Profile

Nikolay S. Falaleev

Moscow, Russia, nikolasent@gmail.com

Computer Vision Scientist, Kaggle master

Education

11/2016 - 10/2017     Self-Driving Car Engineer Nanodegree
      Udacity, graduated with the first ever cohort
09/2015 - 07/2017     Master of Science with Honours in Materials Science, Department of Materials Science
      Lomonosov Moscow State University (MSU)
09/2011 - 07/2015     Bachelor of Science in Materials Science, Department of Materials Science
      Lomonosov Moscow State University (MSU)
11/2012 - present     MOOCs >30 courses in computer and data sciences, robotics, computer vision and machine learning
      Coursera, Udacity, edX and etc.

IT Skills and experience

Languages:   Python, C/C++, R
Tools:   PyTorch, TensorFlow, Keras, OpenCV, ffmpeg, Scikit-learn, NumPy, Docker
Skills:   Artificial Neural Networks, CNN, Computer Vision, Localization and Pathplanning, Control, Numerical Methods
Spare-time Projects:   Image Semantic Segmentation, Image Classification, Driver Behavioral Cloning with CNN, Lane Lines Detection with CV, Vehicles Detection and Tracking with CV, PID Controller, Model Predictive Control, Unscented Kalman Filter, Particle Filter

Prizes and Awards

2018     Quick, Draw! Doodle Recognition Challenge, Kaggle
      Top-4% (50/1316). Application of deep neural networks to classification of users drawings into 300+ classes with 50M train samples
2018     TGS Salt Identification Challenge, Kaggle
      Top-0.5% (14/3234). The deep-learning based approach helps to segment seismic images which is crucial for oil and gas company drillers.
2018     Lyft Perception Challenge, Udacity
      Top-3% (4/155) and the fastest neural network pipeline. The solution is based on LinkNet34 for real-time multiclass semantic segmentation.
2018     IEEE’s Signal Processing Society - Camera Model Identification, Kaggle
      Top-3% (15/583). The solution is based on convolutional neural networks as classifiers for camera models captured a given image.
2016     Image-Based Localization Challenge, Udacity
      The 3d place. A deep learning approach based on GoogLeNet inception module was applied for “localization as classification” method for localization of an autonomous vehicle.
2015     ХХVII International Innovation Conference of Young Scientists and Students, Moscow, Russia
      Diploma for the best scientific report “Mathematical modeling and numerical calculations of particles and coatings heating during gas-dynamic spraying”.
2013     Mendeleev Prize for Young Chemists, Kazan, Russia
      The Second Prize for a report: “Properties of single wall carbon nanotubes encapsulated by inorganic compounds”

Employment

08/2017 - present Computer Vision Scientist Constanta

Responsibilities:

  • Research, develop and apply deep learning and computer vision algorithms for real-time video analysis of sports events.
  • Solve video event detection, image segmentation, object detection and tracking tasks in real-time.
  • Speeding up Deep Learning based pipelines, prepare production ready inference.
  • Post-processing of predictions with sophisticated filters (such as Unscented Kalman filter).
  • Applied computer vision programming in Python.

10/2015 - 07/2017 Junior Researcher Department of Strength, Survivability and Safety of Machines, Mechanical Engineering Research Institute of the Russian Academy of Sciences named after A.A.Blagonravov

Responsibilities:

  • Constructing stable finite-difference schemes for transient heat conduction in 3D case. Choosing the solution approach. Coding and numerical calculations
  • Scientific programming using C and MATLAB languages
  • Automation of experimental data collection and processing
  • Conducting mechanical experiments and numerical results data analysis in R
  • Sample preparation and instrumental analysis

Achievements:

  • 6 scientific papers and 3 conference reports were coauthored

09/2016 - 12/2016 Internship National Research Center «Kurchatov Institute»

  • Take part in experiments at the Kurchatov Synchrotron Radiation Source
  • Processing of large amount of experimental results: data cleaning, feature extraction and interpretation of the results
  • Development of software utilities for the data processing such as XPS results visualizer and converter
  • Results of the internship were applied during a beamtime at HZB BESSY II Synchrotron Radiation Source (Berlin, Germany)

09/2014 - 07/2015 Research Assistant Department of Strength, Survivability and Safety of Machines, Mechanical Engineering Research Institute of the Russian Academy of Sciences named after A.A.Blagonravov

  • Constructing stable finite-difference schemes for heat conduction. Choosing the solution approach. Coding and numerical calculations
  • Scientific programming using C and MATLAB languages
  • Conducting mechanical experiments and numerical results data analysis in R

09/2011 - 07/2015 Head of Research Department, Research Supervisor Moscow State School #224

Responsibilities:

  • Generation and screening of science and engineering projects ideas. Main topics: robotics, UAV, automation
  • Planning of the research program, suggesting relevant literature and sources. Provide supervision of the research projects
  • Preparing students for local and international science fairs and competitions
  • Making efforts to ensure students have access to academic, financial and other resources
  • Giving guidance on the nature of research

Achievements:

  • 6 high school science projects were prepared for local and international science fairs
  • Two extracurricular courses were designed: “Introduction to Aerodynamics” and “Robotics and Artificial Intelligence” for senior school students

Interests

Self-Driving Cars, Deep Learning, Computer Vision, Robotics, Artificial Intelligence, Mathematical Modeling, UAVs

Patents

  • Russian Patent #106765 “Device for producing 3D images by a single camera”. A special method for depth map calculation based on an image, produced by the device, was also developed and the gear is able to work as a range finder.

Publications

In a field of Nanotechnology:

  1. Eliseev Andrei A., Kumskov A.S., Falaleev N.S., Zhigalina V.S., Eliseev Artem A., Mitrofanov A.A., Petukhov D.I., Vasiliev A.L., Kisilev N.A. Mass Transport Through Defects in Graphene Layers // Journal of Physical Chemistry C, 2017, DOI: 10.1021/acs.jpcc.7b06100

  2. N. S. Falaleev, A.S. Kumskov, V.G. Zhigalina, I.I. Verbitskiy, A.L. Vasiliev, A. A. Makarova, D. V. Vyalikh, N.A. Kiselev, A.A. Eliseev. Capsulate structure effect on SWNTs doping in RbxAg1−xI@SWNT composites // CrystEngComm, 2017, DOI: 10.1039/c7ce00155j

  3. Andrei A. Eliseev, Nikolay S. Falaleev, Nikolay I. Verbitskiy, Andrei A. Volykhov, Lada V. Yashina, Andrei S. Kumskov, Victoria G. Zhigalina, Alexander L. Vasiliev, Alexey V. Lukashin, Jeremy Sloan, Nikolay A. Kiselev. Size-dependent structure relations between nanotube and encapsulated nanocrystal. // ACS Nano Letters, V. 17 I. 2, 2017, P. 805–810 DOI: 10.1021/acs.nanolett.6b04031

  4. N.A. Kiselev, A.S. Kumskov, V.G. Zhigalina, A.L. Vasiliev, J. Sloan, N.S. Falaleev, N.I. Verbitskiy, A.A. Eliseev. The structure and continuous stoichiometry change of 1DTbBrx@SWCNTs // Journal of Microscopy. V. 262, I. 1, April 2016, P. 92–101 DOI: 10.1111/jmi.12348

  5. Lukashin A.V., Falaleev N.S., Verbitskiy N.I., Volykhov A.A., Verbitskiy I.I., Yashna L.V., Kumskov A.S., Kiselev N.A., Eliseev A.A. Quasi free-standing one-dimensional nanocrystals of PbTe grown in 1.4 nm SWNTs. // Nanosystems: physics, chemistry, mathematics. V. 6, I. 6, 2015, P. 850-856 DOI: 10.17586/2220-8054-2015-6-6-850-856

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