Georgia Kougka is a Professor in Department of Management Science and Technology of Democritus University of Thrace and her research interests lie in the field of data-centric flow modeling, optimization and execution, but also in business process optimization. Moreover, she has also participated in several research programs and other research interests are the data pre-processing in order to create artificial events based on sensor measurements for predictive maintenance purposes in Industry 4.0 scenarios. Finally, she deals with data analysis in Smart Agriculture and Energy Disaggregation scenarios. Her published research results provide an advanced insight in data analytics optimization.
Education
2017 – 2019 Postdoc, Dept. of Informatics, Aristotle University of Thessaloniki, Greece. Research on Workflow and Business Process Management and Optimization.
2012 – 2017 Ph.D., Dept. of Informatics, Aristotle University of Thessaloniki, Greece, Graduated with a 10/10 GPA. Doctoral Thesis: Workflow Optimization for data analysis.
2010 – 2012 M.Sc., Dept. of Informatics, Aristotle University of Thessaloniki, Greece, Graduated with an 8.66/10 GPA. M.Sc. Thesis: Workflow Optimization based on Query Processing Techniques.
2006 – 2010 B.Sc., Dept. of Informatics, Ionian University, Greece, Graduated with a 7.76/10 GPA. B.Sc. Thesis: Data Management in Social Networks.
Selected Publications
Konstantinos Varvoutas, Christos Bellas, Georgia Kougka and Anastasios Gounaris: Optimizing the Execution of Product Data Models. IEEE Access 2024
Konstantinos Varvoutas, Georgia Kougka and Anastasios Gounaris: Systematic Exploitation of Parallel Task Execution in Business Processes. Comput. Sci. Inf. Syst. 20(4): 1661-1685
Konstantinos Varvoutas, Georgia Kougka, Anastasios Gounaris: Optimizing Business Processes through Parallel Task Execution. MEDES 2022: 24-31
Christos Bellas, Georgia Kougka, Athanasios Naskos, Anastasios Gounaris, Athena Vakali, Apostolos Papadopoulos and Christos Xenakis: Facilitating DoS Attack Detection using Unsupervised Anomaly Detection. SSDBM 2022: 24:1-24:4
Konstantinos Varvoutas, Anastasios Gounaris, Georgia Kougka: Mapping DMN to PDM to enable optimizations. BICOD 2021: 1-9.
Georgia Kougka, Anastasios Gounaris, Apostolos Papadopoulos, Athena Vakali, Diana Navarro Llobet, Jos Dumortier, Eleni Veroni, Christos Xenakis, Gustavo Gonzalez-Granadillo: A conceptual model for assessing security and privacy risks in healthcare information infrastructures: the CUREX approach. Knowledge Modelling and Big Data Analytics in Healthcare: Advances and Applications.
Christos Bellas. Athanasios Naskos, Georgia Kougka, George Vlahavas, Anastasios Gounaris, Athena Vakali, Apostolos Papadopoulos, Evmorfia Biliri, Nefeli Bountouni, Gustavo Gonzalez Granadillo: A methodology for runtime detection and extraction of threat patterns. SN Computer Science, Vol. 1, Issue 5, 2020.
Georgia Kougka, Konstantinos Varvoutas, Anastasios Gounaris, George Tsakalidis, Kostas Vergidis: On Knowledge Transfer from Cost-based Optimization of Data-centric Workflows to Business Process Redesign. Trans. Large Scale Data Knowl. Centered Syst. 43: 62-85 (2020).