Dr. Zoltán Lakner
Professor, Hungarian University of Agriculture & Life Sciences (MATE), Hungary, EU
Professional experience:
- 1986 – 2000 University of Horticulture and Food Industry, assistant professor, 1991: associate professor
- 2000 – 2002 Szent István University
- 2002 – 2003 Budapest University of Economics and Public Administration
- 2003 – 2017 Corvinus University of Budapest
- 2018 – 2021 Szent István University
- 2021 – Hungarian University of Agriculture and Life Sciences
- Member and chairman of the Agricultural Economics Committee of the Hungarian Academy of Sciences
- Member of the editorial board of Economics and Military Science journals
Education, qualification:
- 1978-1983 preservation engineer (KE)
- 1985 university doctor (doctor univ.)
- 1985-1987 business economics engineer (KÉE)
- 1987 chartered accountant (PM)
- 1989-1991 innovation manager economist (BKÁE)
- 2009 dr. habile (agricultural sciences) (BCE)
Field of research and activity:
econometrics, economic statistics, operations research, use of artificial intelligence in decision-making, system dynamic modeling
Awards and recognitions:
- 1978 Leading soldier of the Regiment (Hungarian People’s Army)
- 2002 Louis de Saint-Rat literature prize (Hungarian Food Industry Scientific Association)
- 2018 Pro Alimentis Hungariae (Ministry of Agriculture)
Doctoral training information: https://doktori.hu/index.php?menuid=192&lang=HU&sz_ID=1425
Publication data: https://m2.mtmt.hu/gui2/?type=authors&mode=browse&sel=10000802
Taught subjects:
- Food industry management
- Food industry economics
- Research methodology
- Research methodology
- Food economics
- EU knowledge
- R programming and artificial intelligence
- Analysis of competitiveness of agrarian-industrial complex (Moscow Agricultural Academy)
Optional thesis topics:
- Analysis of food economic time series with neural networks
- Big data-based analyzes on bibliometric databases
- Optimal control of bioeconomic systems
- Application of text mining methods in the collection of strategic information
- Food chain optimization in Africa