Hossein Shirali

Research & industry

Background

Experience across computer vision, scientific systems, and applied data science.

Experience

Mar. 2023 – Present

Doctoral Researcher

Karlsruhe Institute of Technology (KIT)

Karlsruhe, Germany

  • Develop computer vision methods for automated insect digitization, recognition, and biological measurement.
  • Lead AI development for Entomoscope and contribute to InsectMorphoAI, DiversityScanner, and FORSAID.

May – Aug. 2026 · Completed

Visiting Researcher

Mila – Quebec Artificial Intelligence Institute

Montréal, Canada

  • Completed a research stay in Prof. David Rolnick’s group, working on AI, computer vision, and biodiversity monitoring.

Feb. 2022 - Mar. 2023

Data Scientist Consultant

Modis / Baker Hughes

Italy, Remote

  • Developed an optimization algorithm to improve turbine maintenance efficiency.
  • Led cloud data migration and implemented enhanced data security protocols.
  • Built automation tools using Microsoft Power Platform and delivered internal O365 training.

2021

Junior Data Scientist

Plasive Technologies

Bologna, Italy

  • Designed and trained CNN models for semantic segmentation of satellite imagery.
  • Developed a carbon stock estimation method using remote sensing and data analytics, and constructed a multidimensional dataset for satellite image research.

Sep. 2020 - Jan. 2021

Machine Learning Intern

Kiwitron

Bologna, Italy

  • Developed a semi-automatic image labeling method using point cloud data for my master’s thesis.

Education

Present

Ph.D. Candidate

Karlsruhe Institute of Technology (KIT)

Karlsruhe, Germany

Supervised by apl. Prof. Dr. Christian Pylatiuk and apl. Prof. Dr. Markus Reischl.

  • Research: biodiversity research of invertebrates using deep learning methods.

Oct. 2021

Master of Electronic Technologies for Big Data and Internet of Things

University of Bologna

Bologna, Italy

  • Grade: 110/110.
  • Fields: statistics and architectures for big data processing and communications; signal acquisition and processing.

2017

Bachelor of Electronic Engineering

Shahid Chamran University of Ahvaz

Iran

  • Fields: computer architecture, digital systems, and electronics.

Skills

Machine learning and vision
Python, scikit-learn, TensorFlow, Keras, PyTorch, ONNX, OpenCV, YOLO
Infrastructure and tools
Docker, Kubernetes, Git, CI/CD, AWS, HPC/SLURM, Streamlit, Gradio, VS Code, Jupyter
Expertise
Deep learning, computer vision, model deployment, data and image analysis, neural network design, scientific computing, robotic imaging integration
Languages
Persian (native), English (B2), German (A2)

Selected talks & posters