• Team, Executive, Operations, Program/Project Management; PMI book practice; Business Process Reengineering; Data Driven Business; Managing Daily Standup Meetings to Weekly, Monthly Meetings with Stakeholders during the whole life cycle of projects; • Business Intelligence Management; Key Performance Indicators (KPI), development of a performance management system; ISO 9001 : 2008, Quality Management System; • Financial Technology, Cross-process including Big Data Analytics, Predictive Modeling for Investments, Financing, Insurance processes; • Value Engineering Programmes and Engineering Change Process Management; • International Business Development; • Internet of Things (IoT) and Visual Analytics, Automation and Control Systems; • Customer, Supplier base optimization to improve the operation, production cost and maximize the revenue; Providing feedback and Performance Reviews to colleagues at all levels; Stakeholder Consortiums Relations; • Automated Medical Diagnostic Systems; • Machine/Computer vision systems, Machine Learning Multimodal Imaging, Tomography, Sub-micron, Nanoscale Image Analysis/ Processing; • Managed a Systems Development Team of Engineers, Data Scientists, Researchers, Commercial Performance Analysts, Software Developers, including Apps and User Interfaces; • Automatic Defect Detection and Quality Control, Non Destructive Evaluation; • System life cycle analysis; • Preventive Maintenance and Predictive Maintenance systems (including 'Enterprise Asset Management'); Reliability Centered Maintenance (RCM), Computerized Maintenance Management System (CMMS);

* Team, Executive, Program/Project Management; Business Intelligence Management; Leading Researcher, Project Manager in EU FP7 Research Projects to develop Automatic Defect Detection and Quality Control Systems (Intelligent Systems); Applications in manufacturing: quality control for state of the art Powder Metallurgy (PM) component lines including Flexible Manufacturing, Additive Manufacturing (3D Printing) by laser deposition, nano-powders and injection moulding; Plastic Electronics and OLEDs, organic light-emitting diodes, organic, carbon-based compounds; Inspection of Welds and Medical Instruments; * DIRA-Green (non-destructive system to inspect `green parts' resulting in a higher-level quality assurance of Powder Metallurgy components and savings in material, time as well as energy); * AutoInspect (Automated Inspection system of sintered metal parts); * PlastronicsSpec (Automated Inspection system for Plastic Electronics and blocks/panels of OLEDs, organic light-emitting diodes, organic, carbon-based compounds); * Business Process Reengineering; Data Driven Business; Managing Daily Standup Meetings to Weekly, Monthly Meetings with Stakeholders during the whole life cycle of projects; * Represented interests of Brunel Innovation Centre, Brunel University (London)/ TWI (The Welding Institute, Granta Park, Cambridge) at the 3 stakeholder Consortiums (more than 10 stakeholders, paying SME partly with support of FP-7 Programme) produced, presented, defended Deliverables, 3-month to 2 years plans, personal meetings every 3 month per stakeholder Consortium; Project Management, PRINCE2 and PMI book practice; * Leader of design group (9 direct reports) including CAD, SolidWorks Designers, Engineers, Researchers, the Level 2, aerospace engineering students in Brunel University on one year placement as Research Technical Assistants at the Brunel Innovation Centre, and MS Engineering students from the University of Strasbourg, France; Design of Automatic Defect Detection Systems and Safety Enclosures for X-ray imaging systems for manufacture through to project end, including codes and algorithms optimized and embedded into the systems hardware; * Machine Learning/Computer vision systems for automatic defect detection and quality control systems, Non Destructive Evaluation, Optical, X-ray, Acoustic, Ultrasound, Terahertz Tomography, Image Processing; * Asset Integrity Management (real-time); ; * AUTOMATION and healing option INNOVATIONS: (A) Detection and characterization of volume and surface micro-scale defects at the pre and post sintering stages. (B) Decision making: (i) component acceptance or (ii) send for recycling or (iii) send with a prescription for defect healing treatment. This eliminates waste, increasing line production, reducing energy consumption and carbon emissions; * Automated Medical Diagnostic Systems; ;

College of Engineering, Mathematics and Physical Sciences, Project Management, Business Intelligence Management for EU FP-7 Project Components for Ocean Renewable Energy Systems (CORES); * Business Process Reengineering; Data Driven Business; Managing Daily Standup Meetings to Weekly, Monthly Meetings with Stakeholders during the whole life cycle of projects; Novell Statistical Calibration of Vector Load Sensors (transducers), Tri Axis Load Cells, Optimisation operations with large data sets, Data fusion, removing outliers in multivariate analysis, building statistical model using improved data sets: Developed robust multivariate data analysis and processing method capable of increasing precision of output from tri-axis load cells. Up to 10 times precision increase was obtained for tri-axis load cells designed especially for the SWMTF (South Western Mooring Tests Facility). The method is effective for wide range of measuring equipment based on vector sensors including electronic (strain gauge), piezoelectric, fiber optic load sensors, hydraulic, mechanical (in proving rings) load cells. In particular, the developed method is very effective for accelerated (fast) data processing of loading measurements to achieve real-time sensor-guided robot motions (including those for industrial robot arm, real-time actuators); Supervised, motivated engineering staff, external contractors, PhD students for the projects in computational fluid dynamics, mooring dynamics, programming, troubleshooting data acquisition systems and interfaces to instruments.

Ion Beam Centre, Advanced Technology Institute, Faculty of Engineering and Physical Sciences, University of Surrey, Project Management, EPSRC funded research project on Molecular Dynamics Simulations and Analysis of Sputtering by the Use of Polyatomic Projectiles for Secondary Ion Mass Spectrometry (SIMS) in collaboration with research groups at the University of Manchester, Penn State University (USA): * Biomolecular Modelling and Simulations, Prediction of functional consequences of molecular alterations, Performed non-equilibrium molecular dynamics simulations for bombardment of compound benzene samples (coarse grained benzene with embedded C60 fullerenes) which show sputtering yield enhancement in the presence of a number of C60 fullerenes embedded into benzene sample; Graphene, Carbon Nanotubes, Benzene Solutions; Courses attended: Bionanotechnology, Surface Analysis (XPS, SIMS), Ion Beam Analysis (IBA); English Language Course `Cambridge ESOL` Advanced (Level 2) is completed and three corresponding examinations are passed;

Safety Systems Research Centre (SSRC), Department of Civil Engineering, University of Bristol, * Reliability analysis: developing new statistical software testing techniques with applications to problems in industry using classical and Bayesian statistics, numerical and asymptotical analysis; ; * Applications: Data analysis, statistical simulations of failure patterns for the Smart Sensors software, Component-Based Safety Critical Systems; ;

Statistical and Plasma Physics Research Unit - Association EURATOM, Physics Dept., Brussels Free University, Belgium, Postdoctoral Researcher, Project Management, Business Intelligence for Plasma Fusion: * Business Process Reengineering; Data Driven Business; Managing Daily Standup Meetings to Weekly, Monthly Meetings with Stakeholders during the whole life cycle of projects; * Proposed optimal wave launching scheme to enhance acceleration of charged particles and induce optimized electric currents applying the lower amplitude secondary electromagnetic waves crossing primary wave in magnetized plasma on the basis of statistical analysis and analytical estimations; * Physical mechanism of such enhancement has been described with developed resonance moment method (RMM) based on the flow moments approximations via the corresponding moments-integrals calculated inside the resonance layers (RL); * Computer simulations and kinetic equations for relativistic electrons in 3D to evaluate heating and acceleration of plasma electrons with radio frequency and microwave domain electromagnetic fields, relativistic representation. Coupling fluid and kinetic 3D descriptions via Resonance Moments; * Direct 3D particle Monte Carlo simulations to support these predictions: * The different sets of parameters explored are typical for: * magnetic plasma fusion 3D experiments in electron cyclotron resonance heating (ECRH) and current drive (ECCD). The waves are considered as generated by advanced system of gyrotrons, free electron masers (FEM); * relativistic acceleration of electrons in planetary ionospheres-magnetospheres via crossed electron cyclotron waves; * Simulations, Visualisation and Analysis of experimental data at JET related to neutral beam injection (NBI), ion cyclotron resonance heating (ICRH), ion cyclotron current drive (ICCD) using Tokamak Core Transport and Modelling System of Coupled Codes (TRANSP) which is the system of integrated codes for time-dependent magneto hydro-dynamics (MHD) transport analysis; ;

Rybinsk State Academy (University) of Aviation Technology, Physics Dept., Associate Professor (Docent), Executive Director of Internet Centre, * Centre Program/Project Management; Customer, Supplier base optimization to improve the operation, production cost and maximize the revenue; Providing feedback and Performance Reviews to colleagues at all levels (360 feedback); * Investigation and Simulation of plasma 3D flows influenced by moving bodies, space satellites, aircrafts, jets taking into account external magnetic field (C, Fortran, etc.); * Lecturing and curriculum development in business computing, machine/computer vision, statistical thermodynamics, energy and electro-mechanical principles, engineering mathematics (two year sequences) for undergraduate and graduate students including lectures, seminars and computer, laboratory practice; ;

Dept. of Physics, PMI Qualification

Mathematics and Mechanics Faculty, Mechanics

General, Doctor of Philosophy

General, Diploma