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Joe Khalil

dblp:378/2733 · DBLP profile ↗
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3ranked-venue papers
1as first author
3since 2021 · last 2025
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Graphics, computer vision, multimedia, augmented reality and games · 2 · 1 first-author · 2 since 2021Artificial intelligence and machine learning · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
1 paper
Generative modeling · 100%
Interdisciplinary, comprehensive, and emerging computing
1 paper
Computational science and engineering · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Machine learning › Generative modeling
generative adversarial network
0.812024
Generative Adversarial Network Applications in Industry 4.0: A Review · Int. J. Comput. Vis. 2024
Computational science and engineering › manufacturing automation › manufacturing
industry 4.0
0.212024
Generative Adversarial Network Applications in Industry 4.0: A Review · Int. J. Comput. Vis. 2024
YearPublicationVenuePosition
2025 Visualizing the Lifespan of Industrial Objects with AI-Generated Texture Space
Joe Khalil, Chafic Abou Akar, Marc Barouky, Dani Azzam, Marc Kamradt, Raphaël Couturier
ACIVS1
2025 SORDI.ai: large-scale synthetic object recognition dataset generation for industries
Chafic Abou Akar, Jimmy Tekli, Joe Khalil, Anthony Yaghi, Youssef Haddad, Abdallah Makhoul, Marc Kamradt
Multim. Tools Appl.3
2024 Generative Adversarial Network Applications in Industry 4.0: A Review
Chafic Abou Akar, Rachelle Abdel Massih, Anthony Yaghi, Joe Khalil, Marc Kamradt, Abdallah Makhoul
Int. J. Comput. Vis.4