cv
Basics
| Name | Abdelrahman Abdallah |
| Label | Ph.D. in Computer Science · Machine Learning & NLP |
| abdelrahman.abdallah@uibk.ac.at | |
| Phone | +20 11 1137 1734 |
| Url | https://abdoelsayed2016.github.io/ |
| Summary | Machine learning and NLP researcher with a Ph.D. in Computer Science from the University of Innsbruck. Graduated with honors, receiving Sehr gut (1), the highest grade in the Austrian grading system. Experienced in natural language processing, information retrieval, computer vision, and building LLM-based systems. |
Work
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2022.10 - Present Research Assistant
Digital Science Center (DiSC), University of Innsbruck
Research assistant working on NLP and information retrieval within the Digital Science Center.
- Knowledge extraction and information retrieval from unstructured text documents.
- Methods for natural language processing and information retrieval.
- Application of text mining methods to the field of digital history.
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2022.01 - 2022.10 Machine Learning Researcher
Università Ca' Foscari
Researcher working on ML models for climate change and risk assessment.
- Comparative analysis of graph neural networks and random forests for climate-related tasks.
- Contributed to a review paper on ML/AI models for risk assessments.
- Surveyed graph neural networks for spatio-temporal data.
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2021.08 - 2022.06 Machine Learning Engineer
KMG Engineering
Machine learning engineer focusing on vision and NLP applications.
- Developed GAN-based models for image inpainting.
- Built English grammar correction models using deep learning.
- Worked on curve detection and tracking tasks.
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2021.08 - 2025.05 Machine Learning Engineer (part-time)
DISCO App
Machine learning engineer working on OCR and NLP for digital receipts.
- Worked on receipt extraction, OCR systems, and NLP components.
- Built and improved OCR accuracy for receipts and downstream information extraction and classification.
- Contributed to an application deployed on the Google Play Store.
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2019.11 - 2021.06 Machine Learning Researcher
National Open Research Laboratory for Information and Space Technologies, Satbayev University
Researcher focusing on handwriting recognition, table detection, and document analysis.
- Built handwritten Kazakh and Russian databases for handwriting recognition research.
- Reviewed recent approaches to handwritten recognition for Cyrillic characters.
- Created a table detection dataset and developed models for table detection and classification.
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2019.06 - 2019.11 Software Developer
CCC at Limkokwing University
Software developer working on web applications with database backends.
- Developed and implemented a scanning component using PHP and MySQL.
- Designed databases and table structures using n-tier architecture for web applications.
- Built web applications using the ExpressionEngine PHP framework.
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2016.07 - 2019.06 Research and Teaching Assistant
Assiut University, Faculty of Computers and Information
Research and teaching assistant in Computer Science.
- Taught classes, supervised laboratory sessions, and graded assignments and projects.
- Represented teams in meetings with executives to discuss project goals and milestones.
- Kept up with emerging technologies and applied them to teaching and research projects.
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2016.01 - 2017.08 Web Developer
FastKood Company
Web developer building data-driven websites and internal tools.
- Converted UI mockups into HTML, JavaScript, AJAX, and JSON.
- Worked with UNIX and Apache servers.
- Developed data architecture designs for targeted customer analysis.
- Created workflow charts and diagrams to support production teams and meet client deadlines.
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2015.06 - 2016.01 Software Developer
Overcoffeesolutions
Software developer focusing on object-oriented applications.
- Developed object-oriented software and intuitive graphical user interfaces.
- Implemented scanning components using MySQL and solid database design.
- Built multiple web applications following n-tier architecture.
Volunteer
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2023.01 - Present Remote
Reviewer
Conference and Journal Reviewer
Reviewer for major conferences and journals in NLP, IR, and computer vision.
- Conference reviewer: ACL, SIGIR, COLING, EMNLP, LREC-COLING, WACV.
- Journal reviewer: Pattern Recognition Letters, IET NBT, Heliyon, IET Signal Processing.
Education
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2022.10 - 2026.09 Innsbruck, Austria
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2019.09 - 2021.06 Almaty, Kazakhstan
MSc
Satbayev University, Faculty of Information and Telecommunication Technologies
Data Science and Machine Learning
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2016.09 - 2017.06 Assiut, Egypt
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2011.09 - 2015.06 Assiut, Egypt
Awards
- 2026.09.28
Ph.D. Graduation with Honors
University of Innsbruck
Graduated with a Ph.D. in Computer Science with Sehr gut (1), the highest grade in the Austrian grading system.
- 2019.09.01
Scholarship for Master's Studies
Satbayev University
Scholarship to study for a Master's degree in Data Science and Machine Learning at Satbayev University.
Certificates
| NAACL 2025 Certificate | ||
| NAACL | 2025-01-01 |
Publications
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2026 [C34] HintEval: An Open-Source Python Toolkit for Hint Generation and Hint Evaluation
EMNLP 2026 Demo
Jamshid Mozafari, Bhawna Piryani, Abdelrahman Abdallah, Adam Jatowt.
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2026 [C33] OBLIQ-IR: Training a Dense Retriever for Oblique Queries
EMNLP 2026
Mahmoud Abdalla, Abdelrahman Abdallah, Shaimaa Sedek, Adam Jatowt.
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2026 [C32] MEMORA: A Memory-Enhanced Multimodal Committee Reranking Agent for Reasoning-Intensive Retrieval
EMNLP 2026
Mohamed Mahmoud, Mostafa Farouk Senussi, Mahmoud Abdalla, Mahmoud SalahEldin Kasem, Abdelrahman Abdallah, Hyun Soo Kang.
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2026 [C31] SustainableQA: A Comprehensive Question Answering Dataset for Corporate Sustainability and EU Taxonomy Reporting
EMNLP 2026
Mohammed Ali, Abdelrahman Abdallah, Adam Jatowt.
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2026 [C30] TEMPO: Realistic Multi-Domain Benchmark for Temporal Reasoning-Intensive Retrieval
EMNLP 2026
Abdelrahman Abdallah, Mohammed Ali, Muhammad Abdul-Mageed, Adam Jatowt.
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2026 [C29] Argus-Retriever: Vision-LLM Late-Interaction Retrieval with Region-Aware Query-Conditioned MoE for Visual Document Retrieval
EMNLP 2026
Abdelrahman Abdallah, Mahmoud Abdalla, Mohammed Ali, Adam Jatowt.
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2026 [C28] Large Language Models Systematically Favor Popular Options: Evidence and Mitigation Across MCQs
EMNLP 2026
Abdelrahman Abdallah, Mohammed Ali, Bhawna Piryani, Mahmoud Abdalla, Adam Jatowt.
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2026 [C27] SmallReason-ColBERT: An Ultra-Small Late-Interaction Retriever for Reasoning-Intensive Retrieval
EMNLP 2026
Abdelrahman Abdallah, Mohammed Ali, Adam Jatowt.
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2026 [C26] MoCA-Agent: A Market-of-Claims Code Agent for Financial and Numerical Reasoning
EMNLP 2026
Abdelrahman Abdallah, AbdelRahim A. Elmadany, Sameh Al Natour, Hasan Cavusoglu, Adam Jatowt, Muhammad Abdul-Mageed.
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2026 [C25] The Magnitude Mirage: Rethinking Confidence for Reasoning-Intensive Retrieval
EMNLP 2026
Jamie Holdcroft, Abdelrahman Abdallah, Adam Jatowt.
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2026 [C24] REGREACT: Self-Correcting Multi-Agent Pipelines for Structured Regulatory Information Extraction
Findings of EMNLP 2026
Mohammed Ali, Abdelrahman Abdallah, Adam Jatowt.
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2026 [C23] Difficulty-Gated Fusion of Reasoning Views for Temporal Retrieval
CIKM 2026 Short Paper
Jamie Holdcroft, Abdelrahman Abdallah, Adam Jatowt.
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2026 [C22] MM-BRIGHT: A Multi-Task Multimodal Benchmark for Reasoning-Intensive Retrieval
KDD 2026
Abdelrahman Abdallah, Mohamed Darwish Mounis, Mahmoud Abdalla, Mahmoud SalahEldin Kasem, Mostafa Farouk Senussi, Mohamed Mahmoud, Mohammed Ali, Adam Jatowt, Hyun-Soo Kang.
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2026 [C21] Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation
ACL Demo 2026
Abdelrahman Abdallah, Bhawna Piryani, Jamshid Mozafari, Andreas Herzinger, Jamie Holdcroft, Adam Jatowt.
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2026 [C20] BracketRank: Large Language Model Document Ranking via Reasoning-based Competitive Elimination
ACL 2026
Abdelrahman Abdallah, Mohammed Ali, Bhawna Piryani, Adam Jatowt.
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2026 [C19] Negative Sampling Techniques in Dense Retrieval: A Survey
Findings of EACL 2026
Laurin Wischounig*, Abdelrahman Abdallah*, Adam Jatowt. *Equal contribution.
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2026 [C18] It's High Time: A Survey of Temporal Information Retrieval and Question Answering
ACL 2026
Bhawna Piryani, Abdelrahman Abdallah, Jamshid Mozafari, Avishek Anand, Adam Jatowt.
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2026 [C17] RECOR: Reasoning-focused Multi-turn Conversational Retrieval Benchmark
Findings of ACL 2026
Mohammed Ali, Abdelrahman Abdallah, Amit Agarwal, Hitesh Laxmichand Patel, Adam Jatowt.
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2026 [C16] Are LLM-Based Retrievers Worth Their Cost? An Empirical Study of Efficiency, Robustness, and Reasoning Overhead
SIGIR 2026
Abdelrahman Abdallah, Jamie Holdcroft, Mohammed Ali, Adam Jatowt.
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2026 [C15] TempRetriever: Fusion-based Temporal Dense Passage Retrieval for Time-Sensitive Questions
WSDM 2026
Abdelrahman Abdallah, Bhawna Piryani, Jonas Wallat, Avishek Anand, Adam Jatowt.
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2025 [C14] Evaluating Robustness of LLMs in Question Answering on Multilingual Noisy OCR Data
CIKM 2025
Bhawna Piryani, Jamshid Mozafari, Abdelrahman Abdallah, Antoine Doucet, Adam Jatowt.
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2025 [C13] RerankArena: A Unified Platform for Evaluating Retrieval, Reranking and RAG with Human and LLM Feedback
CIKM 2025
Abdelrahman Abdallah, Mahmoud Abdalla, Bhawna Piryani, Jamshid Mozafari, Mohammed Ali, Adam Jatowt.
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2025 [C12] ComplexTempQA: A 100m Dataset for Complex Temporal Question Answering
EMNLP 2025
Raphael Gruber, Abdelrahman Abdallah, Michael Färber, Adam Jatowt.
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2025 [C11] How Good are LLM-based Rerankers? An Empirical Analysis of State-of-the-Art Reranking Models
Findings of EMNLP 2025
Abdelrahman Abdallah, Bhawna Piryani, Jamshid Mozafari, Mohammed Ali, Adam Jatowt.
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2025 [C10] DeAR: Dual-Stage Document Reranking with Reasoning Agents via LLM Distillation
Findings of EMNLP 2025
Abdelrahman Abdallah, Jamshid Mozafari, Bhawna Piryani, Adam Jatowt.
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2025 [C9] Wrong Answers Can Also Be Useful: PlausibleQA - A Large-Scale QA Dataset with Answer Plausibility Scores
SIGIR 2025
Jamshid Mozafari, Abdelrahman Abdallah, Bhawna Piryani, Adam Jatowt.
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2025 [C8] A Study into Investigating Temporal Robustness of LLMs
Findings of ACL 2025
Jonas Wallat, Abdelrahman Abdallah, Adam Jatowt, Avishek Anand.
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2025 [C7] ASRank: Zero-Shot Re-Ranking with Answer Scent for Document Retrieval
Findings of NAACL 2025
Abdelrahman Abdallah, Jamshid Mozafari, Bhawna Piryani, Adam Jatowt.
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2025 [C6] DynRank: Improve Passage Retrieval with Dynamic Zero-Shot Prompting Based on Question Classification
COLING 2025
Abdelrahman Abdallah, Jamshid Mozafari, Bhawna Piryani, Mohammed M. Abdelgwad, Adam Jatowt.
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2025 [C5] CascadePLS-ViT: Cascade with Patch-Level Self-Supervised Vision Transformers for Breast Cancer Classification in Mammography
ISBI 2025
Abdelrahman Abdallah, Mahmoud SalahEldin Kasem, Ibrahim Abdelhalim, Norah Saleh Alghamdi, Sohail Contractor, Ayman El-Baz.
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2024 [C4] ArabicaQA: A Comprehensive Dataset for Arabic Question Answering
SIGIR 2024
Abdelrahman Abdallah, Mahmoud Kasem, Mahmoud Abdalla, Mohamed Mahmoud, Mohamed Elkasaby, Yasser Elbendary, Adam Jatowt.
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2024 [C3] IHRRB-DINO: Identifying High-Risk Regions of Breast Masses in Mammogram Images Using Data-Driven Instance Noise
MICCAI 2024
Mahmoud SalahEldin Kasem*, Abdelrahman Abdallah*, Ibrahim Abdelhalim*, Norah Saleh Alghamdi, Sohail Contractor, Ayman El-Baz. *Equal contribution.
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2024 [C2] Detecting Temporal Ambiguity in Questions
Findings of EMNLP 2024
Bhawna Piryani, Abdelrahman Abdallah, Jamshid Mozafari, Adam Jatowt.
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2024 [C1] Exploring Hint Generation Approaches for Open-Domain Question Answering
Findings of EMNLP 2024
Jamshid Mozafari, Abdelrahman Abdallah, Bhawna Piryani, Adam Jatowt.
Skills
| Machine Learning & Data Science | |
| Machine Learning | |
| Deep Learning | |
| Natural Language Processing | |
| Information Retrieval | |
| Open-Domain Question Answering | |
| Large Language Models |
| Computer Vision | |
| Handwritten Text Recognition | |
| OCR | |
| Object Detection | |
| Generative Adversarial Networks | |
| Image Retrieval | |
| Image Processing | |
| Image Segmentation |
| Programming Languages | |
| Python | |
| PHP | |
| Java |
| ML & DL Frameworks | |
| PyTorch | |
| TensorFlow | |
| Keras | |
| scikit-learn |
| Web Development | |
| Laravel | |
| HTML | |
| CSS | |
| JavaScript | |
| jQuery |
| Tools | |
| PyCharm | |
| Anaconda | |
| Jupyter Notebook | |
| Git | |
| Linux |
Languages
| Arabic | |
| Native |
| English | |
| Fluent (Duolingo: 140) |
Interests
| Natural Language Processing | ||||||
| Large Language Models | ||||||
| Information Retrieval | ||||||
| Open-Domain Question Answering | ||||||
| Keyword Information Extraction | ||||||
| Text Generation | ||||||
| Computer Vision | ||||||
| Handwriting Recognition | ||||||
| OCR | ||||||
| Medical Imaging | ||||||
| Image Retrieval | ||||||
| Segmentation | ||||||
References
| References available upon request | |
| Academic and professional references can be provided upon request. |
Projects
- 2024.01 - Present
Rankify
Creator and maintainer of Rankify, a Python toolkit for retrieval, reranking, and RAG evaluation.
- Comprehensive Python package for information retrieval and reranking evaluation.
- Supports evaluation of retrieval, reranking, and RAG systems with automated metrics and human feedback.
- Integrated with the RankArena platform and has 500+ GitHub stars.
- 2024.01 - Present
RankArena
Lead developer of RankArena, a unified web platform for evaluating retrieval, reranking, and RAG systems.
- Provides standardized protocols for benchmarking IR models against strong baselines.
- Supports both human and LLM-based feedback for evaluation.
- Accepted at CIKM 2025.