Artificial Intelligence Research, Senior Director of Research

Preparing and teaching "Machine learning" and "Artificial Intelligence" courses.

Main coordinator of School of Huawei Advanced Research Education (SHARE) at MSU program.Faculties: Mechanics and Mathematics, Computational Mathematics and Cybernetics, Physics, Space Research.Computer Vision, Machine Learning and Python courses for Lomonosov Moscow State University (MSU) students.

Machine Learning Research, Director of Research.

Machine Learning Research, Sr. Engineering Manager.Head of Autonomy Interaction Research team.Nuro is a leading autonomous vehicle company. Our mission is to better everyday life through robotics and strengthen local communities with our electric, zero-occupant autonomous delivery vehicles.

Leading the research of the team for the directions: Multi-modality, Multi-tasking, Retrieval-based systems.

Research task formulation.Research team hiring.

R&D project in Artificial Intelligence (AI). Video Intelligence TeamLead (~15 people). Fundamental Research TeamLead (~25 experts from different groups).Remote work coordination.School of Huawei Advanced Research Education (SHARE) at MSU program owner.Video Recognition: Action Detection, Spatial Temporal Recognition, Video Retrieval using text queries.Motion Forecasting: Trajectory Prediction.Robustness in DL: Adversarial Attacks, Universal Perturbations, Differential Privacy, Certified Robustness.Geometrical DL: Out-of-distribution and Metric learning on Manifolds.FaceID: Identification, Verification, Quality Assessment, Facial Landmarks.Statements of Works preparations for independent / joint / collaboration projects (including tasks for Fundamental Research in AI).Interviewing young talents.Mentoring newcomers.Awards:2021 - Knowledge Management Team Incentive Award2020 - Best Mentor Award2020 - Fundamental Research Incentive Award2020 - Future Star2020 - Team Golden Medal (as a part of the team)2019 - Outstanding Individual Award2019 - Team Golden Medal (as a part of the team)2019 - Future Star

R&D project in Artificial Intelligence (AI).Video Intelligence group.Head of Neural Net-based face recognition (identification / verification).Multi-task end2end solutions (keypoints / detection / segmentation).Awards: 2018 - Technology Innovation and Breakthrough Award2018 - Quality Star

R&D project in new storage media. Cold data storage systems.Erasure coding techniques.Object placement & scheduling algorithms.File type recognition.Neural Net compression.Neural Net - based techniques for Image Super Resolution.Neural Net - based techniques for Image DeBlur.Awards: 2017 - Outstanding Contractor Award

Algorithms development and implementation in: - H.264 Video Trans-Sizer (Regexps Perl coding), - Media GateWay DSP Solutions (Voice Quality Enhancement modules: Echo Canceller, Automatic Level Control, High Level Compensation – C programming for DSP),- BaseBand Project (WCDMA Layer 1 protocol implementation: PRACH preamble detection – C programming for vector processors), - ReadChannel Project (Trapping Set analysis, Error Floor Estimation for LDPC codes - mainly MatLab+MEX programming), - GR Project (hand/finger Gesture Recognition, Head Pose estimation using 3D cameras, 3D Face Recognition using low-resolution noisy 3D camera, Super Resolution of Depth images - MatLab/C/C++ programming);,- FlashChannel Project (Flash Translation Layer, especially Wear Leveleler module - C++ programming);A number of USA patents (some of them as a lead inventor) were filed.

Creating and supporting of a large DB (~1-10M records) on Oracle, implementing its functionality using PL/SQL; a number of client interfaces (Perl – CGI\Tk, AJAX (prototype, jQuery), Delphi) for interconnection with DB; Windows SVN server administration.

Creating and supporting of bundled software to automate Internet provider tasks (accounting systems, billings, client and server-side for payment systems CyberPlat and OSMP using MySQL, PostgreSQL and Perl); implementing different web-interfaces and admin scripts (Perl, bash + sed, grep, awk) on demands for the administration department.

RTOS lynxOS testing in different environments, different scripts for testing (Perl, bash + sed, grep, awk); participating in porting utilities, OS code bug fixing (C); using CVS, RCS.

Speech experiments, algorithms development (Matlab, C) and speech recognition in noisy conditions.

Statistical experiments, algorithms development using Matlab for observation and tracing problem (video data from infrared imager).