Jakhongir Nodirov

AI Research Engineer · Robotics · Computer Vision

Perception and autonomy — robots, inspection systems, and models that have to run on the machine.

At HyVision that is computer-vision on factory AOI equipment. On Jetson it is mobile robots: ROS 2, SLAM, Nav2, and on-device inference.

HyVision System · Seongnam

Portrait of Jakhongir NodirovPortrait of Jakhongir Nodirov

Work

01

autoJetsonBot

Mobile robot · ROS 2

A Jetson Nano B01 platform with an ESP32 motor bridge, RPLidar, encoder odometry, MPU6050, and a web dashboard. Mapping with slam_toolbox, localization with AMCL, and Nav2 — same stack in Gazebo and on the real chassis.

Hardware + simulation · SLAM and Nav2

02

Driver monitoring on the edge

On-device perception · Jetson

Head pose, facial landmarks, and seatbelt detection on grayscale day-and-night video, compiled to TensorRT and run on NVIDIA Jetson.

Day and night · TensorRT on device

03

Wafer defect inspection

Industrial perception · HyVision

Detection, segmentation, and anomaly models for 8-inch and 12-inch wafers, deployed on industrial GPUs inside the inspection tool.

In production · high precision · low false-positive rate

04

Consumer electronics inspection

Industrial perception · HyVision

An end-to-end AOI pipeline — segmentation, detection, classification — at line speed on glass and metal enclosure parts for a tier-1 manufacturer.

Line speed on AOI equipment · fine-grained defects

05

3D human avatars

3D perception · AIVAR

From a single photograph to a textured 3D face and body, using morphable models (FLAME, SMPL), diffusion-based correction, and neural texture-matching. Deployed on AWS.

06

IP image verification

Retrieval · AIVAR

A vector-search system for animation-character and logo protection: embed a query image, find near-duplicates, return a decision. Built for a government-backed digital IP project.

Research

Attention 3D U-Net with Multiple Skip Connections for Segmentation of Brain Tumor Images

Sensors 22(17): 6501 · 2022 · Cited by 131

3D Volume Reconstruction from MRI Slices based on VTK

ICTC, IEEE, pp. 689–692 · 2021 · Cited by 25

Path

M.S. Computer Engineering, Gachon University, 2022