Sitemap
A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.
Pages
Posts
Future Blog Post
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Blog Post number 4
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 2
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 1
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
portfolio
Portfolio item number 1
Short description of portfolio item number 1
Portfolio item number 2
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publications
Space-Time MiniLM: Spatiotemporal Attention Beyond Semantic Context
Preprint (HuggingFace), 2024
A Transformer-based model incorporating spatiotemporal attention mechanisms to capture contextual dependencies beyond semantic information.
Recommended citation: Haidar Jomaa. (2024). "Space-Time MiniLM: Spatiotemporal Attention Beyond Semantic Context." Preprint, HuggingFace.
Download Paper
Revisiting the Inferior–Superior (I–S) Value Metric Using Machine Learning for Early Detection of Keratoconus
Journal of Refractive Surgery (submitted), 2025
A machine learning-based re-evaluation of the classical Inferior–Superior corneal metric for early keratoconus detection.
Recommended citation: Shady T. Awwad, Jad F. Assaf, Zahi Wehbi, Haidar Jomaa, Rida Assaf. (2025). "Revisiting the Inferior–Superior (I–S) Value Metric Using Machine Learning for Early Detection of Keratoconus." Journal of Refractive Surgery (submitted).
Raw Versus Engineered Tomographic Representations for Post–Laser Vision Correction Ectasia Diagnosis
Ophthalmology Science (submitted), 2025
An empirical comparison of raw and engineered corneal tomographic representations for post-LVC ectasia detection using machine learning.
Recommended citation: Rida Assaf, Haidar Jomaa, Jad F. Assaf, Zahi Wehbi, Shady T. Awwad. (2025). "Raw Versus Engineered Tomographic Representations for Post–Laser Vision Correction Ectasia Diagnosis." Ophthalmology Science (submitted).
Machine Learning-Based Detection of Keratoconus Using Zernike Polynomials Derived from Corneal Pachymetry Profiles
AUB Biomedical Research Days (poster), 2025
A machine learning framework leveraging Zernike polynomial representations of corneal pachymetry for keratoconus detection.
Recommended citation: Haidar Jomaa, Rida Assaf, Jad Assaf, Zahi Wehbi, Shady T. Awwad. (2025). "Machine Learning-Based Detection of Keratoconus Using Zernike Polynomials Derived from Corneal Pachymetry Profiles." Poster presented at AUB Biomedical Research Days, American University of Beirut.
Computational Prediction of Replication Origins: A Comparative Review of Methods, Benchmarks, and Trends from Heuristics to Deep Learning
Briefings in Bioinformatics (under review), 2025
A comprehensive review of computational approaches for replication origin prediction, covering heuristic, statistical, and deep learning-based methods.
Recommended citation: Haidar Jomaa, Rida Assaf. (2025). "Computational Prediction of Replication Origins: A Comparative Review of Methods, Benchmarks, and Trends from Heuristics to Deep Learning." Briefings in Bioinformatics (under review).
talks
Huawei Competitions and Opportunities in AI
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Talk presented as a Huawei ambassador, highlighting student competitions, research opportunities, and pathways in artificial intelligence and advanced technologies.
NVIDIA DLI: Fundamentals of Deep Learning
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Hands-on workshop introducing the fundamentals of deep learning using NVIDIA Deep Learning Institute materials, with practical exercises and real-world examples.
From Data to Intelligence
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Talk covering the transformation of raw data into intelligent systems, highlighting machine learning pipelines and real-world applications.
Reinforcement & Evolution: Algorithms That Find Winning Strategies
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Talk introducing reinforcement learning and evolutionary algorithms, focusing on how learning and optimization methods discover effective strategies in complex environments.
Interview on the AI Landscape in Lebanon
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Interview discussing the state of artificial intelligence research, education, and industry in Lebanon, including challenges and future opportunities.
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.