Milad Leyli-Abadi
Milad Leyli-Abadi publishes mostly in Artificial Intelligence, Statistical and Nonlinear Physics and Social Psychology, on topics such as Explainable Artificial Intelligence (XAI), Model Reduction and Neural Networks and Human-Automation Interaction and Safety.
- World rank
- #3,753,692 of 7,710,434 ranked researchers
- Rank in France
- #158,143 of 324,115
- Works
- 18
- Citations
- 37
- Citations per work
- 2.1
What does Milad Leyli-Abadi research?
Milad Leyli-Abadi's work is mostly in Computer Science (35%), Physics and Astronomy (8%), Psychology (8%).
Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.
The fields and subfields, with their numbers
- Everything else842.9%
- Physical Sciences842.8%
- Computer Science634.6%
- Physics and Astronomy18.2%
- Social Sciences314.3%
- Psychology18.2%
- Social Sciences16.1%
- 1Artificial Intelligence22% of their works
- 2Statistical and Nonlinear Physics8% of their works
- 3Social Psychology8% of their works
- 4Computational Theory and Mathematics6% of their works
- 5Hardware and Architecture6% of their works
- 6Safety Research6% of their works
Research topics
- Explainable Artificial Intelligence (XAI)
- Model Reduction and Neural Networks
- Human-Automation Interaction and Safety
- Adversarial Robustness in Machine Learning
- Ethics and Social Impacts of AI
- Advanced Multi-Objective Optimization Algorithms
- Security in Wireless Sensor Networks
- Physical Unclonable Functions (PUFs) and Hardware Security
Which keywords describe Milad Leyli-Abadi's research?
The keywords of their largest research topics: Machine Learning, Deep Learning, Automation, Interpretable Models, Machine Learning Interpretability, Model Reduction, Partial Differential Equations and Trust.
- Secure Routing
- Multiobjective Optimization
- Hardware Trojans
- Robustness
- Ethics
- Trust
- Model Reduction
- Interpretable Models
- Deep Learning
- Machine Learning
- Automation
- Machine Learning Interpretability
- Partial Differential Equations
- Adversarial Examples
- Fairness
- Evolutionary Algorithms
- Key Management
- Physical Unclonable Functions
Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most. The words come from the keyword list OpenAlex gives each topic, not from the text of the papers, so a word can appear that none of the papers uses.
All 18 words, with their numbers
- Machine Learning103 topics
- Deep Learning72 topics
- Automation41 topic
- Interpretable Models41 topic
- Machine Learning Interpretability41 topic
- Model Reduction41 topic
- Partial Differential Equations41 topic
- Trust41 topic
- Adversarial Examples31 topic
- Ethics31 topic
- Fairness31 topic
- Robustness31 topic
- Evolutionary Algorithms21 topic
- Hardware Trojans21 topic
- Key Management21 topic
- Multiobjective Optimization21 topic
- Physical Unclonable Functions21 topic
- Secure Routing21 topic
Where does Milad Leyli-Abadi work?
Milad Leyli-Abadi's main affiliation in the publication record is Institut de Recherche Technologique SystemX, France.
How many publications and citations does Milad Leyli-Abadi have?
OpenAlex counts 18 works and 37 citations for Milad Leyli-Abadi, an h-index of 3, ranking #3,753,692 of 7,710,434 researchers worldwide on the quality score.
Ranked on field-normalised citation excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.
Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.
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