S1. Energy Forecasting and AnalyticsS2. AI Forecasting & Large Language ModelsS3. Forecasting and Econometric ModelsS4. Weather and Climate Forecasting
Department of Statistics, Faculty of Arts and Sciences, Giresun University, Giresun, Turkey
Professor Erol Egrioglu has been conducting academic research on fuzzy inference systems and artificial neural networks for time series forecasting. He has published journal papers over 200 and more than 100 presentations in the conference. He received his PhD degree from Hacettepe University, Department of Statistics in 2006. He has been working as a Professor at Giresun University, Department of Data Science and Analytics since 2015. Prof. Dr. Erol Eğrioğlu worked as a visiting researcher at the Marketing Analytics and Forecasting Research Center at Lancaster University, England, which is shown as the best centre in the world in the field of forecasting for 7 months in the 2019-2020 academic year.
University College Dublin - Michael Smurfit Graduate Business School, Ireland
Session chair
Dr. Konstantia Litsiou
Business School, Manchester Metropolitan University, Manchester, UK
Dr Konstantia Litsiou joined Manchester Metropolitan Business School in 2019. Before joining the institution, she worked as an Associate Lecturer at Salford Business School and as an Adjunct Associate Professor in Marketing at various other institutions across Europe. She has also worked as a consultant at the Ministry of Finance and Economics, Greece. In addition, she has gained extensive professional experience in Public Relations, Advertising, Communication, and Promotion Consultancy within the private sectors in both the UK and Greece for nearly two decades.
Dr Konstantia Litsiou is the International Lead of the Department of Marketing, International Business and Tourism, and a visiting researcher at the Forecasting Laboratory at Durham Business School.
She holds a PhD from the University of Salford, and her research focuses on forecasting the success of megaprojects using judgmental forecasting techniques. Her work has been published in leading international journals, including the European Journal of Operational Research, International Journal of Forecasting, Supply Chain Forum, Chartered Banker Magazine, and the International Journal of Production Research.
University of Miami & NOAA/Atlantic Oceanographic & Meteorological Laboratory/Hurricane Research Division, Miami, FL, USA
Dr. Jun Zhang's main research interests are hurricane boundary layer structure and dynamics, turbulence observations, air-sea interaction, numerical modeling and physical parameterizations. He has recently studied turbulent fluxes in the hurricane boundary layer using research aircraft and portable wind tower observations, dissipative heating in the surface layer both over the ocean and land, hurricane boundary layer height using dropsonde data, air-sea thermodynamic exchange using buoy observations, vertical and horizontal turbulence mixing processes in the low-level troposphere of intense hurricane eyewall, and evaluation and improvement of the planetary boundary layer (PBL) schemes used in the WRF and HWRF models simulating hurricanes.