Sardor Israilov - AI/Robotics PhD & Engineer

Background & Journey

Born in Uzbekistan (05/04/1997), I've been living in France for over 10 years, pursuing my passion for Computer Science and AI. My journey began with a Master's degree from INSA Lyon with specialization in Image&Signal processing and later PhD in AI and Robotics.

Currently working as an R&D Runtime Engineer at UniversalAutomation.org (created by Schneider Electric), developing advanced IEC 61499 PLC runtime systems with focus on c++ development and build system engineering (perl/python/make). Previously, I worked as an R&D Engineer at Schneider Electric's EcoStruxure™ Automation Expert, where I developed microservices in Go for fleet management systems and deployed containerized PLC runtimes using Kubernetes.

During my PhD at I3S/Inria/INPHYNI, I specialized in deep reinforcement learning for robotic control, working with three different robotic systems: cart-pole, static robotic fish, and autonomous swimming robotic fish. My research incorporated advanced deep RL methods with comprehensive physical modeling and derivations.

Prior to my PhD, I gained valuable industry experience as an engineer-apprentice for 3 years at Solystic (Northrop Grumman), developing solid programming skills in Matlab/Simulink and industrial automation systems. I'm also actively engaged in continuous learning, having completed Udacity Robotics and ML nanodegrees with hands-on projects in Python and C++.

I'm passionate about cutting-edge AI techniques that have a meaningful impact on our daily lives, and I'm committed to being part of this technological revolution.

Watch PhD Defense Thesis Manuscript

IEC 61499 PLC c++ Runtime Data Science Deep Reinforcement Learning Computer Vision Industrial Automation Docker PyTorch/TensorFlow

Python C++ Go Perl MATLAB/Simulink OpenCV Git LaTeX SQL Java PHP Android Studio

ROS/RVIZ Raspberry Pi/Arduino IoT Visual Servoing IMU/Force Sensors Control Theory Gazebo Simulation

CODESYS/SoMachine/EAE Makefile Docker AWS 3D CAD (SolidWorks/CATIA V5)

Languages

🇺🇸

English

C1 - Fluent

🇫🇷

French

C1 - Fluent

🇷🇺

Russian

Native

🇺🇿

Uzbek

C1 - Native

🇩🇪

German

A2 Level

Deep Reinforcement Learning

Robotic Fish Swimming Speed Optimization

Advanced swimming gait optimization using deep reinforcement learning with integrated computer vision (CNN) and force sensors (FCN). Real-time control system incorporating IMU and LIDAR sensors for autonomous navigation.

Deep RL optimization in simulation (Gym, MuJoCo, COMSOL) and real experiments
Visual-servoing with VAE coupled with DRL for autonomous control
Multi-sensor fusion for robust underwater navigation
Real-time performance optimization and gait adaptation

Python PyTorch OpenAI Gym MuJoCo Computer Vision VAE

Physical Modeling

Robotic Fish Thrust Optimization

Comprehensive physical modeling, identification, and simulation of robotic fish dynamics with advanced thrust optimization algorithms.

Advanced physical modeling and system identification
CAD modeling and precision 3D printing
Thrust optimization through computational fluid dynamics

COMSOL SolidWorks MATLAB CFD

Educational Benchmark

Cart-pole Deep Reinforcement Learning

Educational benchmark system for deep reinforcement learning with real hardware implementation and sim2real transfer.

Deep RL control in simulation and real hardware setup
Dynamic model identification and sim2real transfer
Mechanical development and experimental setup installation

Python Deep RL SolidWorks Control Theory

Computer Vision

Medical Image Segmentation with Mask R-CNN

Master's thesis project implementing Mask R-CNN for automatic segmentation of medical heart scan images with cloud-based training.

Mask R-CNN Medical Imaging Cloud Computing

UniversalAutomation.org (created by Schneider Electric)

R&D Runtime Engineer for IEC 61499 PLC

Runtime (C++) development with new features including cybersecurity and packaging. Building and releasing runtime features for the UAO community.

Runtime (C++) development with new features: cybersecurity and packaging
Runtime features release for UAO community
Build system (perl, Makefile, MSVC) engineering
Trainings and demos to deploy/configure/use UAO runtime in their systems

C++ IEC 61499 Perl Makefile MSVC Cybersecurity

Schneider Electric (EcoStruxure™ Automation Expert)

R&D Engineer

Writing microservices in Go for fleet management systems and deploying containerized PLC runtime via Kubernetes.

Writing microservices in Go for fleet management systems
Deployment of containerized (Docker) PLC runtime via Kubernetes
Refactoring existing codebase with new cybersecurity measures
Deployment strategy adapted for fleet management systems

Go Kubernetes Docker Microservices Cybersecurity Fleet Management

Solystic (Northrop Grumman)

Mechatronics R&D Apprentice for Industrial Automation with AGV

R&D apprenticeship focused on industrial automation, PLC programming, and AGV motorization studies with real robot testing and data analysis.

Motorization study for AGV with real robot testing; data analysis and simulations with Python, MATLAB/Simulink, and CATIA V5
Empty tray detection using Python/C++ OpenCV
PLC coding of functional blocks in CODESYS and SoMachine for industrial automation and safety applications (Schneider M251)
Library (FBD in CODESYS) for conveyors with roller-motors using AS-i and MODBUS protocols with simulation (visualization)
Development of sizing tools in MATLAB to guide the choice of electric motors and motor drives
Expatriate mission for postal-sorting machine installation with Schneider SoMachine and SICK FlexiSoft

PLC Programming CODESYS SoMachine Python/C++ MATLAB/Simulink CATIA V5 OpenCV Schneider M251

Engineer with Background in Computer Science & AI

Passionate About Innovation

Background & Journey

Expertise & Technologies

Mastery Areas

Programming & Tools

Robotics & IoT

Industrial Automation & DevOps