Design and analysis of power conservation techniques for maximizing the lifetime expectancy of tiny sensing devices. - Mohamed Abdelaal 001 (Joint Workshop of the German Research Training Groups in Computer Science, 2014)

EAVS: Energy aware virtual sensing for wireless sensor networks. - Mohamed Abdelaal 001; Yang Gao 011; Martin Fränzle; Oliver E. Theel (ISSNIP, 2014)

Recent energy-preservation endeavours for longlife wireless sensor networks: A concise survey. - Mohamed Abdelaal 001; Oliver E. Theel (WOCN, 2014)

Nonlinear Model Predictive Control for Tracking of Underactuated Vessels under Input Constraints. - Mohamed Abdelaal 001; Martin Fränzle; Axel Hahn (EMS, 2015)

FuzzyCAT: A lightweight Adaptive Transform for sensor data compression. - Vasilisa Bashlovkina; Mohamed Abdelaal 001; Oliver E. Theel (ICC Workshops, 2015)

FuzzyCAT: a novel procedure for refining the F-transform based sensor data compression. - Vasilisa Bashlovkina; Mohamed Abdelaal 001; Oliver E. Theel (IPSN, 2015)

Reliable virtual sensing for wireless sensor networks. - Mohamed Abdelaal 001; Christian Kuka; Oliver E. Theel; Daniela Nicklas 001 (ISSNIP, 2015)

QoS Improvement with Lifetime Planning in Wireless Sensor Networks. - Mohamed Abdelaal 001; Peilin Zhang; Oliver E. Theel (MSN, 2015)

Improving Energy Efficiency in QoS-Constrained Wireless Sensor Networks. - Mohamed Abdelaal 001; Oliver E. Theel; Christian Kuka; Peilin Zhang; Yang Gao 011; Vasilisa Bashlovkina; Daniela Nicklas 001; Martin Fränzle (Int. J. Distributed Sens. Networks, 2016)

Enabling Energy-Efficient Wireless Sensing with Improved Service Quality. - Mohamed Abdelaal 001 (2016)

iSense: Energy-aware crowd-sensing framework. - Mohamed Abdelaal 001; Mohammad Qaid; Frank Dürr; Kurt Rothermel (IPCCC, 2017)

GraMap: QoS-Aware Indoor Mapping Through Crowd-Sensing Point Clouds with Grammar Support. - Mohamed Abdelaal 001; Frank Dürr; Kurt Rothermel; Susanne Becker; Dieter Fritsch (MobiQuitous, 2017)

An Improved BLE Indoor Localization with Kalman-Based Fusion: An Experimental Study. - Jenny Röbesaat; Peilin Zhang; Mohamed Abdelaal 001; Oliver E. Theel (Sensors, 2017)

GreenMap: Approximated Filtering Towards Energy-Aware Crowdsensing for Indoor Mapping. - Johannes Kässinger; Mohamed Abdelaal 001; Frank Dürr; Kurt Rothermel (MASS, 2018)

Quality of service control in proactive wireless sensor networks via lifetime planning. - Peilin Zhang; Mohamed Abdelaal 001; Oliver E. Theel (Int. J. Sens. Networks, 2018)

ComNSense: Grammar-Driven Crowd-Sourcing of Point Clouds for Automatic Indoor Mapping. - Mohamed Abdelaal 001; Daniel Reichelt; Frank Dürr; Kurt Rothermel; Lavinia Runceanu; Susanne Becker; Dieter Fritsch (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2018)

GaaS: Adaptive Cross-Platform Gateway for IoT Applications. - Mohamed Abdelaal 001; Mochamad Dandy; Frank Dürr; Kurt Rothermel; Marwan Abdelgawad (MASS, 2019)

liteNDN: QoS-Aware Packet Forwarding and Caching for Named Data Networks. - Mohamed Abdelaal 001; Mustafa Karadeniz; Frank Dürr; Kurt Rothermel (CCNC, 2020)

AutoSec: Multidimensional Timing-Based Anomaly Detection for Automotive Cybersecurity. - Milan Tepic; Mohamed Abdelaal 001; Marc Weber; Kurt Rothermel (RTCSA, 2020)

MapSense: Grammar-supported Inference of Indoor Objects from Crowd-sourced 3D Point Clouds. - Mohamed Abdelaal 001; Suriya Sekar; Frank Dürr; Kurt Rothermel; Susanne Becker; Dieter Fritsch (ACM Trans. Internet Things, 2020)

AutoCure: Automated Tabular Data Curation Technique for ML Pipelines. - Mohamed Abdelaal 001; Rashmi Raju Koparde; Harald Schöning (aiDM@SIGMOD, 2023)

Coping with Data Distribution Shifts: XAI-Based Adaptive Learning with SHAP Clustering for Energy Consumption Prediction. - Tobias Clement; Truong Thanh Hung Nguyen; Nils Kemmerzell; Mohamed Abdelaal 001; Davor Stjelja (AI (2), 2023)

DiffML: End-to-end Differentiable ML Pipelines. - Benjamin Hilprecht; Christian Hammacher; Eduardo Souza dos Reis; Mohamed Abdelaal 001; Carsten Binnig (DEEM@SIGMOD, 2023)

REIN: A Comprehensive Benchmark Framework for Data Cleaning Methods in ML Pipelines. - Mohamed Abdelaal 001; Christian Hammacher; Harald Schöning (EDBT, 2023)

Enhancing Knowledge Base Construction from Pre-trained Language Models using Prompt Ensembles. - Fabian Biester; Daniel Del Gaudio; Mohamed Abdelaal 001 (KBC-LM/LM-KBC@ISWC, 2023)

RTClean: Context-aware Tabular Data Cleaning using Real-time OFDs. - Daniel Del Gaudio; Tim Schubert; Mohamed Abdelaal 001 (PerCom Workshops, 2023)

XAIR: A Systematic Metareview of Explainable AI (XAI) Aligned to the Software Development Process. - Tobias Clement; Nils Kemmerzell; Mohamed Abdelaal 001; Michael Amberg (Mach. Learn. Knowl. Extr., 2023)

LLMClean: Context-Aware Tabular Data Cleaning via LLM-Generated OFDs. - Fabian Biester; Mohamed Abdelaal 001; Daniel Del Gaudio (ADBIS (Short Papers), 2024)

Open-Source Drift Detection Tools in Action: Insights from Two Use Cases. - Rieke Müller; Mohamed Abdelaal 001; Davor Stjelja (DaWaK, 2024)

SAGED: Few-Shot Meta Learning for Tabular Data Error Detection. - Mohamed Abdelaal 001; Tim Ktitarev; Daniel Städtler; Harald Schöning (EDBT, 2024)

XAI-Enhanced Semantic Segmentation Models for Visual Quality Inspection. - Tobias Clement; Truong Thanh Hung Nguyen; Mohamed Abdelaal 001; Hung Cao (ICCE, 2024)

ReClean: Reinforcement Learning for Automated Data Cleaning in ML Pipelines. - Mohamed Abdelaal 001; Anil Bora Yayak; Kai Klede; Harald Schöning (ICDEW, 2024)

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 001; Hung Cao (IJCAI, 2024)

Beyond explaining: XAI-based Adaptive Learning with SHAP Clustering for Energy Consumption Prediction. - Tobias Clement; Truong Thanh Hung Nguyen; Nils Kemmerzell; Mohamed Abdelaal 001; Davor Stjelja (CoRR, 2024)

AI in Manufacturing: Market Analysis and Opportunities. - Mohamed Abdelaal 001 (CoRR, 2024)

Generalizable Data Cleaning of Tabular Data in Latent Space. - Eduardo Souza dos Reis; Mohamed Abdelaal 001; Carsten Binnig (Proc. VLDB Endow., 2024)

GLLM: Self-Corrective G-Code Generation using Large Language Models with User Feedback. - Mohamed Abdelaal 001; Samuel Lokadjaja; Gilbert Engert (BTW, 2025)

EdgeMLOps: Operationalizing ML models with Cumulocity IoT and thin-edge.io for Visual quality Inspection. - Kanishk Chaturvedi; Johannes Gasthuber; Mohamed Abdelaal 001 (BTW, 2025)

DataLens: ML-Oriented Interactive Tabular Data Quality Dashboard. - Mohamed Abdelaal 001; Samuel Lokadjaja; Arne Kreuz; Harald Schöning (EDBT, 2025)