Business Analytics Lab

Welcome to the Business Analytics Laboratory, established at the Department of Management Science and Technology of the Athens University of Economics and Business, and headed by Diomidis Spinellis. Here we research, develop, and disseminate software, systems, methods, and practices associated with the following areas.

  • Software Engineering and Management Science applications of data analytics
  • AI applications of big data
  • Data analytics approaches for IT security
  • Software and systems for big data
  • Industrial adoption of business analytics applications and systems
  • Energy consumption and runtime performance in the era of ΑΙ and big data

    • Recent Publications

      • Diomidis Spinellis. Rewriting the Unix stream editor in Rust. IEEE Software, 42(5):21–25, September 2025.

      • Diomidis Spinellis. Modernizing a security alarm system. IEEE Software, 42(3):18–21, May 2025.

      • Diomidis Spinellis. False authorship: an explorative case study around an AI-generated article published under my name. Research Integrity and Peer Review, May 2025.

      • Diomidis Spinellis. Efficient graph processing. IEEE Software, 42(1):22–25, January 2025.

      • Diomidis Spinellis. Analyzing Linux on a supercomputer. IEEE Software, 42(2):18–23, March 2025.

      • Pavlína Wurzel Gonçalves, Pooja Rani, Margaret-Anne Storey, Diomidis Spinellis, and Alberto Bacchelli. Code review comprehension: reviewing strategies seen through code comprehension theories. In 2025 IEEE/ACM 33rd International Conference on Program Comprehension (ICPC), 589–601. IEEE, April 2025. ACM SIGSOFT Distinguished Paper Award.

      • Konstantinos Eleftheriou, Panos Louridas, and John Pavlopoulos. KostasThesis2025 at SemEval-2025 task 10 subtask 2: a continual learning approach to propaganda analysis in online news. In Sara Rosenthal, Aiala Rosá, Debanjan Ghosh, and Marcos Zampieri, editors, Proceedings of the 19th International Workshop on Semantic Evaluation (SemEval-2025), 899–908. Vienna, Austria, July 2025. Association for Computational Linguistics.

      • Artun Boz, Wouter Zorgdrager, Zoe Kotti, Jesse Harte, Panos Louridas, Vassilios Karakoidas, Dietmar Jannach, and Marios Fragkoulis. Improving sequential recommendations with LLMs. ACM Transactions on Recommender Systems, January 2025. Just Accepted.