| 2025 | BTW | GLLM: Self-Corrective G-Code Generation using Large Language Models with User Feedback. | Mohamed Abdelaal, Samuel Lokadjaja, Gilbert Engert |
| 2025 | BTW | EdgeMLOps: Operationalizing ML models with Cumulocity IoT and thin-edge.io for Visual quality Inspection. | Kanishk Chaturvedi, Johannes Gasthuber, Mohamed Abdelaal |
| 2025 | EDBT | DataLens: ML-Oriented Interactive Tabular Data Quality Dashboard. | Mohamed Abdelaal, Samuel Lokadjaja, Arne Kreuz, Harald Schning |
| 2024 | ADBIS | LLMClean: Context-Aware Tabular Data Cleaning via LLM-Generated OFDs. | Fabian Biester, Mohamed Abdelaal, Daniel Del Gaudio |
| 2024 | DaWaK | Open-Source Drift Detection Tools in Action: Insights from Two Use Cases. | Rieke Mller, Mohamed Abdelaal, Davor Stjelja |
| 2024 | EDBT | SAGED: Few-Shot Meta Learning for Tabular Data Error Detection. | Mohamed Abdelaal, Tim Ktitarev, Daniel Stdtler, Harald Schning |
| 2024 | ICDE | ReClean: Reinforcement Learning for Automated Data Cleaning in ML Pipelines. | Mohamed Abdelaal, Anil Bora Yayak, Kai Klede, Harald Schning |
| 2024 | IJCAI | LangXAI: Integrating Large Vision Models for Generating Textual Explanations to Enhance Explainability in Visual Perception Tasks. | Truong Thanh Hung Nguyen, Tobias Clement, Phuc Truong Loc Nguyen, Nils Kemmerzell, Van Binh Truong, Vo Thanh Khang Nguyen, Mohamed Abdelaal, Hung Cao |
| 2023 | EDBT | REIN: A Comprehensive Benchmark Framework for Data Cleaning Methods in ML Pipelines. | Mohamed Abdelaal, Christian Hammacher, Harald Schning |
| 2023 | PERCOM | RTClean: Context-aware Tabular Data Cleaning using Real-time OFDs. | Daniel Del Gaudio, Tim Schubert, Mohamed Abdelaal |
| 2020 | RTCSA | AutoSec: Multidimensional Timing-Based Anomaly Detection for Automotive Cybersecurity. | Milan Tepic, Mohamed Abdelaal, Marc Weber, Kurt Rothermel |
| 2019 | MASS | GaaS: Adaptive Cross-Platform Gateway for IoT Applications. | Mohamed Abdelaal, Mochamad Dandy, Frank Drr, Kurt Rothermel, Marwan Abdelgawad |
| 2018 | MASS | GreenMap: Approximated Filtering Towards Energy-Aware Crowdsensing for Indoor Mapping. | Johannes Kssinger, Mohamed Abdelaal, Frank Drr, Kurt Rothermel |
| 2017 | IPCCC | iSense: Energy-aware crowd-sensing framework. | Mohamed Abdelaal, Mohammad Qaid, Frank Drr, Kurt Rothermel |
| 2017 | Mobiquitous | GraMap: QoS-Aware Indoor Mapping Through Crowd-Sensing Point Clouds with Grammar Support. | Mohamed Abdelaal, Frank Drr, Kurt Rothermel, Susanne Becker, Dieter Fritsch |