Dr. Qusai Ramadan

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Short biography

Update: Dr. Ramadan has recently moved to the University of Southern Denmark as an Associate Professor.

Dr. Qusai Ramadan is a senior researcher in software engineering. His research is dedicated to supporting software developers in the construction and analysis of complex software systems, predominantly within the realms of model-based and -driven engineering. He develops model-based tools and techniques to ensure software quality, manage consistency and traceability, establish privacy and security, support conflict detection, and explore software fairness.

In addition, Dr. Ramadan investigates AI engineering, with a focus on applying machine-learning techniques to address challenges in software and requirements engineering, including software code classification, prediction simulation run-time, and the identification of security-related requirements. He conducts empirical, formal, and engineering research to understand the challenges encountered by software engineers, formulate enhanced solutions, and assess their applicability, usability, and performance benefits. So far the application domains of his work encompass healthcare, public administration, aircraft, agri-food, and decision-making software systems.

Dr. Ramadan received his PhD in software engineering from Koblenz University (Koblenz, Germany) in June 2020. Before, he was working as a research assistant in the same research group for the period between 2015 and 2019. From 2011-2013, he worked as a lecturer at Najran University (Saudi Arabia). In 2010, he received his MSc in IT from Utara University of Malaysia (Malaysia). He received his BSc in computer science from Al al-Bayt University (Jordan) in 2008.

Teaching

Advanced Topics in Web-based and Data-Intensive Software and its Security, 2020-Present
(Pro)Seminar on engineering trustworthy software-intensive systems, 2016-Present
Research practical: Tool Support for supporting model-based individual fairness verification 2022
Research practical: AI-based approach for classifying model transformation rules, 2021
Machine learning and data mining, 2019-2022
Web Engineering, 2016-2019

Publications

Reviews

Program committee and Reviewer

ACM/SIGAPP Symposium On Applied Computing (SAC25)
European Colloid & Interface Society (ECIS24)
European Colloid & Interface Society (ECIS23)
Scientific Reports Journal, publisher Springer Nature (2023)
Data Mining and Knowledge Discovery ( DAMI21 )
International Journal on Software and Systems Modeling ( SoSyM21 )
Business Process Management Journal ( BPMJ21 )

Subreviewer for:

International Conference on Fundamental Approaches to Software Engineering (FASE22)
International Conference on Advanced Information Systems Engineering (CAISE21)
International Conference on Advanced Information Systems Engineering (CAISE19)

Research Focus-Team and Theses Supervision

Current Students

Former Students

Jaimin Nareshbhai Vaghasiya (June 2024-May 2025, Type: Master Thesis, My role: Main supervisor, Topic: ” Developing Accessible Frameworks and Validation Strategies for Effective Data Monetization").
Joyeeta Datta (April 2024-Feb 2025, Type: Master Thesis, My role: Main supervisor, Topic: ”Exploring In-Context Learning Abilities in Compressed Large Language Models”).
Alexander Finske (Feb 2024-Jan 2025, Type: Bachelor Thesis, My role: Main supervisor, Topic: ”The Impact of IoT and Blockchain Technologies on Smart Farming”).
Rahul Thiruvengadam (Nov 2023-Dec 2024, Type: Master Thesis, My role: Main supervisor, Topic: ”Supporting the Specification of Fairness Requirements”).
Sanjeev Sun Shakya (May 2023-Oct 2024, Type: Master Thesis, My role: Main supervisor, Topic: ”Model-based Data Sovereignty and Security Analysis in the Context of Data Marketplaces”).
Sudheer Kumar Gandham (Aug 2023-Sept 2024, Type: Master Thesis, My role: Main supervisor, Topic: ”The Impact of Blockchains on the Business Models of Agri-food Systems”).
Bivas Bisht (graduated, Sept 2023-Sept 2024, Type: Master Thesis, My role: Main supervisor, Topic: ”Impact of Clustering and Topic Modelling on Retrieval-Augmented Generation (RAG): A Three-Layered Framework”).
Pavankumar Tokachichu (graduated, Aug 2023-Sept 2024, Type: Master Thesis, My role: Main supervisor, Topic: ”Analysing the Impact of Blockchains on Companies Organization and new business models”).
Ashik Abdul Rahuman Peer Mohamed (graduated, June 2023- April 2024, Type: Master Thesis, My role: Main supervisor, Topic: ”AI-based Smart contracts classification: Comparative study”).
Martin Hollmann (graduated, Oct 2021- Sept 2022, Type: Master Thesis, My role: Co-supervised with Dr. Marco Konersmann, Topic: ”Engineering Data Protection-Aware Health Data Intelligence Systems by Design”).
Ali Akbar (graduated, Aug 2021- Aug 2022, Type: Master Thesis, My role: Main supervisor, Topic: ”A Prediction of LaboratoryWorkflow Simulations for Testing Diseases such as Covid-19”).

Projects

External Links