Portrait of Mohanad Albughdadi Mohanad Albughdadi

AI & Remote Sensing Specialist

Certified Google Cloud ML Engineer · PhD in Statistical Machine Learning · Earth Observation

About

I am a Certified Google Cloud ML Engineer with a PhD in Statistical Machine Learning for medical image analysis and postdoctoral work in AI for Remote Sensing. I bridge research and real-world impact by applying machine learning to Earth Observation and cloud computing. I also teach and run workshops at events like IGARSS and EGU.

Work History

Scientist, Machine Learning

ECMWF — Bonn, Germany · Dec 2022 – Present
  • Lead activities on EC projects: stakeholder engagement, tech transfer, reporting.
  • Build self-supervised learning pipelines for EO downstream tasks.
  • Design ML for data volume reduction & efficient transfer in EO4EU.
  • Develop object detection, promptable segmentation (VHR imagery), and super-resolution (Sentinel‑2, ERA‑5).
  • Integrate models on AI-on-Demand for AI4Copernicus & DeployAI.
  • Deliver trainings and workshops (IGARSS, EGU), and build STAC catalogs for interoperable data access.

Head of AI & Digital

TerraNIS SAS — Ramonville-Saint-Agne, France · Jan 2020 – Nov 2022
  • Applied AI to EO for illicit crop detection and swimming pool identification.
  • Managed EC projects and partnered with academia for agriculture & viticulture.
  • Delivered AI training programs; mentored a team of three engineers.
  • Built cloud-native processing workflows for scalable EO analytics.

Expert Engineer, Signal & Image Processing

TerraNIS SAS — Ramonville-Saint-Agne, France · Feb 2018 – Dec 2019
  • Land use classification, change detection, field boundaries, LAI/biophysical estimation, forest detection, semantic mapping.
  • Processing chains for Sentinel‑2 and anomaly detection for crop monitoring.

Postdoctoral Researcher

IRIT — Toulouse, France · Oct 2016 – Dec 2017
  • ML on satellite-derived data for agriculture (anomaly detection, crop classification).
  • Lab instruction for advanced signal processing projects.

PhD Researcher & Lab Instructor

INPT / IRIT / ENSEEIHT — Toulouse, France · Sep 2013 – Sep 2016
  • Bayesian and clustering methods for task-based fMRI: activity detection, dynamics, segmentation.

Monitoring & Evaluation Officer

PCDCR — Gaza · Jan 2012 – Sep 2013
  • Oversaw compliance of 16 donor-funded projects (UNICEF, UNDP, Save the Children, NRC).
  • Quantitative/qualitative analysis and bilingual reporting (EN/AR).

Executive Manager & Network Engineer

Toot ICT — Gaza · Jan 2010 – Jun 2010
  • Budgeting, business development, and operations.
  • Deployed wired/wireless networks for reliable connectivity.

Education

  • Google Cloud — Certified Professional Machine Learning Engineer (Feb 2022)
  • PhD — Medical Image Processing (Applied Math), INPT, Toulouse (2013 – 2016)
  • MSc — Electronic Systems Design Engineering, Universiti Sains Malaysia (2010 – 2011)

Languages

English · French · Arabic

Accomplishments

  • Author & co-author of journal and conference papers (Google Scholar).
  • Winner — MyEUSpace with Imaginearth team (2022).
  • Program committee member & reviewer for conferences/journals.
  • Best Student Award in Msc of ESDE at USM 2010/2011.

Skills

ML/DLComputer VisionPython PyTorchTensorFlowKeras scikit-learnOpenCVVisualization DockerKubernetesKubeflow MLOpsGCPFastAPI FlaskSTACQGIS PostgreSQLDuckDBGit CI/CDLinuxmacOSWindows