Angelis Eleftherios

Professor

Office: Ethnikis Antistasis 16, Kalamaria, Office 21

Office Hours: Meeting after email communication

Phone Number: +30-231099.8230 Fax: +30-231099.8230

Email: lef@csd.auth.gr Website: Personal Website

Studies

  • 1986: Certificate of Secondary Education
  • 1986: Bachelor degree in Mathematics, Aristotle University of Thessaloniki (AUTH)
  • 1993: PhD in Statistics, School of Mathematics, AUTH.

Professional Experience

  • Visiting assistant professor, School of Informatics, Technological Educational Institute of Thessaloniki,  1994 – 1999
  • Visiting Lecturer, School of Informatics, AUTH, 1996 – 1999
  • Lecturer, School of Informatics, AUTH, 1999 – 2004
  • Assistant Professor, School of Informatics, AUTH, 2004 – 2010
  • Associate Professor, School of Informatics, AUTH, 2010 –2016
  • Professor, School of Informatics, AUTH, 2016 –

Research Interests

  • Optimal experimental designs and sampling designs
  • Robust estimators
  • Statistical methods in Software Engineering:
    • Cost estimation, study of the error in cost prediction models, imputation of missing values in cost models, methods for comparing cost prediction models, study of phases of software projects
    • Software defect prediction models
    • Open source software processes
    • Controlled experiments and surveys for studying the human factor (personality, behavior, preferences, learning tools, programming techniques, performance) in software development
    • Prioritization of requirements and issues in software engineering through voting schemes
  • Statistical methods in knowledge discovery from web data, distributed databases and biomedical texts, clustering and classification methods and causal models for multivariate biomedical data
  • Simulation and statistical methods in simulation
  • Cryptographic data transformation
  • Statistical methods in competency management of human resources
  • Statistical methods for vulnerabilities of Information Systems
  • Statistical data analysis for medical studies
  • Data analyses from surveys and experiment – studies