Curriculum vitae
General Information
Full Name | Mohamed Abdelaal |
Languages | English (fluent), German (intermediate), Arabic (native) |
Education
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2016 PhD (Dr.-Ing.)
Carl von Ossietsky University of Oldenburg - Dissertation: Enabling Energy-Efficient Wireless Sensing with Improved Service Quality
- Supervisors: Prof. Dr.-Ing. Oliver Theel, Prof. Dr. Daniela Nicklas
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2011 Master of Science (MSc)
Port Said University - Dissertation: An Efficient Power Reduction Technique for Wireless Sensor networks
- Supervisors: Prof. Dr. Rabie Ramadan, Prof. Dr. Mohamed Abdel-Meguid, Dr. Ahmad Shaaban
Experience
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2024 - Now AI Architect for Adabas \& Natural
Software GmbH, Stuttgart, Germany - Identifying AI use cases, contributing directly to product innovation within Adabas & Natural ecosystem
- Led the Natural AI Code Assistant project, leveraging LLMs for code generation and optimization within the Adabas & Natural ecosystem, accelerating modernization for enterprise mainframe applications.
- Developed an MVP with an API-first approach, enabling seamless integration into existing workflows and facilitating rapid prototyping for customer feedback.
- Implemented advanced agentic workflows using Langchain and Langgraph, enabling dynamic, context-aware code generation and problem-solving capabilities.
- Pioneered self-corrective strategies to iteratively enhance code quality and reliability in Natural language generation.
- Integrated semantic RAG pipelines to incorporate internal Natural documentation, improving contextual accuracy and usability of the code assistant.
- Connected local and remote tools via MCP servers, expanding the assistant’s capabilities and supporting hybrid deployment scenarios.
- Fine-tuned multiple open-source LLMs (Mistral, DeepSeek, Qwen Coder) for high-accuracy Natural code generation, optimizing for enterprise workloads.
- Conducted customer interviews and innovation labs to gather requirements, validate use cases, and provide hands-on experience to clients, driving adoption and shaping the product roadmap.
- Collaborated cross-functionally with R&D, UX, and legal teams to ensure technical feasibility, exceptional user experience, and regulatory compliance.
- Participated in the selection and onboarding of development partners, acting as product owner to ensure alignment with business and technical requirements throughout the productionization process.
- Supervised a multidisciplinary team of researchers and students, overseeing initiatives in data generation and MCP server development.
- Led product testing cycles and continuous improvement efforts, ensuring delivery of high-quality, customer-centric AI solutions.
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2020 - 2024 Senior Research Scientist
Software AG, Darmstadt, Germany - Leading several national and international research projects
- Representing Software AG towards partners and funding agencies, e.g., BMBF and ITEA
- Acquiring new projects, e.g., Engineering Large Foundation Models for Enterprise Integration
- Developed several tools for automated data cleaning and machine learning pipeline orchestration
- Creating reports & deliverables within deadlines, & liaising with the product development teams
- Generating multiple patents and research papers published in highly-ranked conferences
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2016 - 2020 Postdoctoral Researcher
University of Stuttgart, Stuttgart, Germany - Leading several national and international projects, with supervising multiple students
- Developed several data-driven tools for energy-efficient IoT applications, e.g., indoor mapping
- Created and instructed several graduate-level courses, e.g., real-time concepts in embedded systems, distributed systems, mobile computing lab, and autonomous driving seminar
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2012 - 2016 Research Associate
University of Oldenburg, Oldenburg (Olden), Germany - Developed data-driven tools for QoS-aware Wireless Sensor Networks & BLE-based localization
- Coordinated events and workshops as part of managing the SCARE graduate school
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2018 - 2019 Freelancer Technical Author
IUBH Technical University, Germany - Authored a 170-page course book for an online graduate program detailing IoT architectures, use cases, and fundamental technologies such as cloud services and communication networks.
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2009 - 2012 Assistant Lecturer
Port Said University, Egypt - Involved in the ApplS-LAB project, and tutored several undergrad courses, e.g., communication theory
Honors and Awards
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2023 - Received the Best Paper Runner-up award at DEEM'23
- Received the Best Paper Runner-up award at IJCAI'23
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2022 - Received the Elevating Excellence Award in Innovation in the DACH region for my contributions at Software AG
Academic Interests
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Vice Chairman
- Port Said Engineering Day PSED 2009-2011, organized by the Port Said IEEE student branch
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Participate in organizing
- Dagstuhl Workshop 2014, Joint workshop of the research training groups funded by the German research foundation in the area of Computer Science
- Made in Egypt competition MIE 2009-2012
- Egyptian Engineering Day EED 2009-2010, organized by the IEEE Egypt YP
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Reviewer
- Served as a reviewer in several conferences and journals, e.g. IEEE Access Journal, Pervasive and Mobile Computing Journal (Elsevier), ACM Transactions on IoT, and ACM Symposium on Principles of Distributed Computing (PODC)
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Selected Conference Talks
- SAGED, Meta learning-powered Error Detection Technique for Tabular Data (EDBT'24)
- ReClean, Reinforcement Learning for Automated Data Cleaning in ML Pipelines (DBML@ICDE'24)
- REIN, Comprehensive Benchmark Framework for Data Cleaning in ML Pipelines (EDBT'23)
- DiffML, End-to-end Differentiable ML Pipelines (DEEM@SIGMOD'23)
- AutoCure, Automated Data Curation Framework for ML Pipelines (aiDM@SIGMOD'23)
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Invited Talks