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Anastasios Panagiotelis

Rated 4.50/5
University of Sydney

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4.005/21/2025

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About Anastasios

Professional Summary: Professor Anastasios Panagiotelis

Professor Anastasios Panagiotelis is a distinguished academic at the University of Sydney, recognized for his expertise in statistics and data science. With a focus on innovative methodologies in forecasting and time series analysis, he has made significant contributions to both academic research and applied statistics.

Academic Background and Degrees

Professor Panagiotelis holds advanced degrees in statistics and econometrics, equipping him with a robust foundation for his research and teaching career. Specific details of his qualifications include:

  • PhD in Econometrics and Business Statistics, Monash University, Australia
  • Bachelor of Economics (Honours), Monash University, Australia

Research Specializations and Academic Interests

Professor Panagiotelis specializes in statistical modeling, with particular emphasis on:

  • Time series analysis and forecasting
  • Hierarchical and grouped time series
  • Bayesian statistics and machine learning applications in data science
  • Energy forecasting and economic modeling

His work often bridges theoretical advancements with practical applications, addressing real-world challenges in economics, energy, and beyond.

Career History and Appointments

Professor Panagiotelis has held several academic and research positions, reflecting a progressive career in higher education and research. Key appointments include:

  • Associate Professor, University of Sydney Business School, Australia (current)
  • Senior Lecturer, Monash University, Department of Econometrics and Business Statistics, Australia
  • Lecturer, Monash University, Australia

Major Awards, Fellowships, and Honors

While specific awards and honors are not extensively documented in public sources, Professor Panagiotelis is recognized within the academic community for his contributions to statistical forecasting methodologies, evidenced by his publications and collaborations.

Key Publications

Professor Panagiotelis has authored and co-authored numerous influential papers in high-impact journals. A selection of his key works includes:

  • “A Bayesian approach for consistent reconciliation of hierarchical time series” – International Journal of Forecasting (2021)
  • “Forecast reconciliation: A geometric view with new insights on bias correction” – International Journal of Forecasting (2021)
  • “Probabilistic forecast reconciliation: Properties, evaluation and score optimisation” – European Journal of Operational Research (2022)
  • “Cross-temporal coherent forecasts for Australian tourism” – Annals of Tourism Research (2019)
  • “Macroeconomic forecasting for Australia using a large number of predictors” – International Journal of Forecasting (2019)

Influence and Impact on Academic Field

Professor Panagiotelis has significantly influenced the field of statistics, particularly in the area of forecast reconciliation and hierarchical time series analysis. His research provides frameworks that enhance the accuracy of predictions across diverse applications, from economic forecasting to energy demand modeling. His methodologies are widely cited and adopted by researchers and practitioners globally, contributing to advancements in data-driven decision-making.

Public Lectures, Committee Roles, and Editorial Contributions

Professor Panagiotelis actively engages with the academic community through various roles, including:

  • Regular presentations at international conferences such as the International Symposium on Forecasting
  • Contributions to editorial boards and peer review processes for leading journals in statistics and forecasting
  • Mentorship of postgraduate students and early-career researchers at the University of Sydney

His commitment to knowledge dissemination and academic collaboration underscores his role as a leader in his field.