Farhad Hoseyni Portrait

Farhad Hoseyni

I'm

About

I’m an AI Engineer Who Loves Turning Tech into Creative Solutions

I’m Farhad Hoseyni, and I thrive on combining technology with creativity to build impactful solutions. My journey started at K. N. Toosi University of Technology, where I earned a Bachelor's degree in Electrical and Control Engineering, along with a minor in Computer Engineering. My passion for innovation of AI in Medical Images, drove me to focus my thesis on developing AI-assisted software for classifying and segmenting intracerebral hemorrhage.
From leading R&D efforts at SmarTeeth and Smartory Startups to working as a Computer Vision Engineer and Data Scientist at APAC AI & Control, I've consistently developed software that bridges cutting-edge tech with real-world needs, especially in medical image analysis. I also spent time as a research assistant in the Mechatronics and Biomechatronics Lab, where I further honed my skills in crafting creative, tech-driven solutions.

Fields of Interest

Artificial Intelligence
Computer Vision
Data Science
Robotics
Embedded Systems
Biomedical Engineering
Download My CV

Education

KNTU

K. N. Toosi University of Technology, Tehran

  • Bachelor’s Degree in Electrical and Control Engineering
  • Minor Degree in Computer Engineering
  • Grade: 18.33/20 (Ranked 6th in the entrance)

University of Twente, Enschede

  • Master’s Degree in Robotics
  • Specialization in Software & Algorithm AI

Experiences

intracerebral hemorrhage intracerebral hemorrhage hover

intracerebral Hemorrhage Project

Classification, Detection, and Segmentation of Hemorrhagic lesions in CT scans

Brain Hemorrhage Project Joint with Iran Medical University
Dental Image Dental Image hover

Smartory

An AI assistant product for Dentists and Radiologists to diagnose dental issues

Developing an AI Assistant for Dental Diagnosis Joint With SBMU
AugmenTory AugmenTory hover

AugmenTory

A non-profit framework for augmentation of polygons

AugmenTory Framework for Polygon Transforms
YoDINO Project YoDINO Project hover

YoDINO

Integrating frozen DINOv3 Vision Transformer features with YOLO heads

YoDINO: DINO is all YOLO needs
Embedded Tracker Embedded Tracker hover

Embedded Tracker

Real-time target tracking implementation on low-resource embedded processors

Real-Time Embedded Vision Tracker
RELBot Tracker RELBot Tracker hover

RELBot Tracker

Sensory tracking and autonomous path planning system for mobile robots

RELBot Autonomous Mobile Robot Tracking
MeanFlow MeanFlow hover

MeanFlow

Generative modeling using Flow Matching for efficient one-step robotic policy

Flow Matching MeanFlow for Robot Learning
LeRobot LeRobot hover

LeRobot

Imitation learning and state representation training on physical robotic arms

LeRobot: Open-Source Robot Learning Ecosystem
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Publications

For more details click on the publication

Comprehensive Hyperparameter Tuning to Enhance Deep Learning Performance for Intracranial Hemorrhage Classification in Head CT Scans

AugmenTory: A Fast and Flexible Polygon Augmentation Library

Advanced Deep Learning-Based Approach for Tooth Detection, and Dental Cavity and Restoration Segmentation in X-Ray Images

Advanced Classification and Segmentation of ICH in Brain CT Scans via using a Two-Step Deep Learning Approach and Fuzzy Decision Policy.
(In Preparation)

A Comprehensive Review on Kolmogorov-Arnold Networks through Implementation on Various dataset
(Pre-print)