Dan has 20+ years experience in IT management. He is also a skilled systems administrator and software developer, who has helped several companies to achieve their goals by using modern IT solutions.
Accomplished Project Management Professional with over 9+ years of demonstrated experience within the strategic business development, managing transformation and, legal projects in achieving cost reductions and improving client satisfaction in customer-facing operations and, large diverse organizations. His latest project was to build the GDPR readiness for a multinational client holding the role as Data Protection Officer, focused on strategic data governance, data classification, and in the achievement towards GDPR compliance levels.
More than 60 scientific publications. Member of the Council and of the Educational Committee of ECMI, European Consortium for Mathematics in Industry. Member of Management Committees of COST Action TD1409 Mathematics for industry network (MI-NET) and COST Action TD1307, European Model Reduction Network (EU-MORNET). Representative of Estonia in the Association of European Operational Research Societies, EURO, and in the International Federation of Operational Research Societies, IFORS. Member of Board of the NPO Estonian Centre of Industrial Mathematics Xi. Partner in the Project IUT20-57 „Structural Problems in Analysis, Algebra, and Geometry, with Applications to Numerical Analysis”. Secondary Proposer of the new COST Project “Fintech and Artificial Intelligence in Finance - Towards a Transparent Financial Industry”.
Eftim Zdravevski (PhD in Computer Science 2017, MSc in Computer Science 2010, Dipl. Eng. 2008) is an Assistant Professor at the Faculty of Computer Science and Engineering of the Sts Cyril and Methodius University in Skopje, North Macedonia, where he works since 2010. During his research career, he has published over 60 papers in international conferences and top ranked journals, including PLoS ONE, IEEE Access and MDPI Sensors. He has participated or lead national and international research projects related to time series analytics, feature engineering and selection, and application of ML for activity recognition. His active fields of research interests are: Big Data, machine learning, data mining, cloud computing, knowledge-based systems, decision support systems, time series analysis and forecasting, parallel algorithms, etc.