Jehad Abed
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| Jehad Abed | |
|---|---|
| Born | |
| 🏳️ Nationality | Canadian |
| 🎓 Alma mater | University of Toronto |
| 💼 Occupation | |
| Known for | Work at the intersection of AI and experimental materials discovery; development of large experimental datasets for catalyst discovery |
Jehad Abed is a Jordanian-Canadian materials scientist and researcher working at the intersection of artificial intelligence, experimental materials science, and clean energy technology.[1] His research focuses on accelerating the discovery and scalable synthesis of novel materials — particularly electrocatalysts — using autonomous laboratories, machine learning, and high-throughput experimentation.
As of 2025, Abed is a postdoctoral researcher at Meta within the Fundamental AI Research (FAIR) team, where he works on data-driven catalyst discovery and experimental validation.[1]
Early life and education
Abed completed his Ph.D. in Materials Science and Engineering at the University of Toronto, where he was awarded the Vanier Canada Graduate Scholarship.[2] His doctoral research focused on electrocatalysis, CO2 conversion, and materials discovery for clean-energy applications.
Abed holds a Master’s degree in Materials Science and Engineering from the Masdar Institute of Science & Technology.[1][3] During his time at Masdar Institute, he gained experience in cleanroom-based nanofabrication, thin-film deposition, nanomaterials synthesis, and advanced materials characterization using techniques such as electron microscopy (TEM, SEM) and atomic-scale probes (AFM, SNOM).[1]
Abed completed his undergraduate studies in Renewable Energy Engineering at the University of Sharjah.[4]
Career
University of Toronto
From 2020 to 2023, Abed served as Program Director of the Alliance for AI-Accelerated Materials Discovery (A3MD) at the University of Toronto, leading research efforts in high-throughput experimentation and data-driven catalyst development.[5]
Meta (FAIR)
In 2023, Abed joined Meta’s Fundamental AI Research (FAIR) team as a postdoctoral researcher, where he contributes to integrating experimental datasets with AI for catalyst discovery and materials synthesis.[1]
Carbon XPRIZE
Abed previously worked with CERT Systems on electrochemical CO2 conversion, contributing to a finalist entry in the NRG COSIA Carbon XPRIZE competition.[1]
Research interests
Abed’s work integrates:
- Experimental materials synthesis, thin films, nanoparticles, and alloy development
- Electrocatalysis for CO2 conversion and green hydrogen production
- Autonomous laboratory systems and high-throughput synthesis
- Machine learning and AI for materials discovery and synthesis optimization
Awards and recognition
- Vanier Canada Graduate Scholarship[6]
- Carbon XPRIZE Finalist with CERT Systems[1]
- Recognized as an emerging researcher in clean-energy materials by the University of Toronto[7]
Publications
Abed has authored peer-reviewed journal articles, conference papers, and patents in the areas of electrocatalysis, nanomaterials, and AI-accelerated materials discovery. His published work includes research on electrochemical CO₂ conversion, catalyst development for renewable-energy applications, thin-film and nanostructured materials, and machine-learning approaches for predicting and optimizing synthesis pathways.
His publications span topics such as:
- Design and synthesis of electrocatalysts for CO₂ reduction and water electrolysis
- High-throughput experimental methods for catalyst screening and evaluation
- Nanomaterials engineering and thin-film fabrication for energy applications
- Machine-learning models for catalyst performance prediction and materials synthesis optimization
Abed is also listed as an inventor on patents related to electrochemical conversion technologies and catalyst systems for industrial carbon-utilization processes.
A complete list of publications and citation metrics is available on his Google Scholar profile.[8]
External links
- Official website
- Jehad Abed publications indexed by Google Scholar
- LinkedIn profile
See also
- Materials discovery
- Electrocatalysis
- Machine learning for scientific discovery
- Autonomous laboratory
This article "Jehad Abed" is from Wikipedia. The list of its authors can be seen in its historical and/or the page Edithistory:Jehad Abed. Articles copied from Draft Namespace on Wikipedia could be seen on the Draft Namespace of Wikipedia and not main one.
- ↑ 1.0 1.1 1.2 1.3 1.4 1.5 1.6 "About — Jehad Abed". abedj.me. Retrieved 2025-12-01.
- ↑ "Jehad Abed: Vanier Scholar Profile". University of Toronto. Retrieved 2025-12-01.
- ↑ "Jehad Abed — Research Assistant, Masdar Institute". Retrieved 2025-12-01.
- ↑ "Profile — Jehad Abed". Retrieved 2025-12-01.
- ↑ "A3MD Research". Retrieved 2025-12-01.
- ↑ "Vanier Canada Graduate Scholarship recipients". Retrieved 2025-12-01.
- ↑ "Grads to Watch — University of Toronto". Retrieved 2025-12-01.
- ↑ "Jehad Abed — Google Scholar". Retrieved 2025-12-01.
