“Dr. Felix Ladstätter is collaborating with the School of Public Health at Fudan University, China, and the School of Psychology at Auckland University, New Zealand.”

CARRERA PROFESIONAL

Dr. Felix Ladstätter is collaborating with the School of Public Health at Fudan University, China, and the School of Psychology at Auckland University, New Zealand. His research focuses on intelligent data analysis techniques such as artificial neural networks, genetic algorithms, fuzzy logic and swarm intelligence for the social sciences. He is also interested in occupational health psychology, particularly in burnout and how personal resources such as hardiness can modulate the development of burnout.

FORMACIÓN ACADÉMICA

  • 2021 International Ph.D. degree in Methodology in Behavioral Sciences, Universidad Autónoma de Madrid
  • 2012 Master’s degree in Methodology and Data Analysis, Universidad Autónoma de Madrid y Universidad Nacional de Educación a Distancia
  • 2008 Master’s degree in Applied Computer Science, University of Salzburg
  • 2005 Bachelor’s degree in Computer Science, University of Salzburg

EXPERIENCIA PROFESIONAL

2021 – present Preparation and delivery of the undergraduate course Programming 1 (6 ECTS), UCJC.

2021 – present Preparation and delivery of the undergraduate course Advanced Programming (6 ECTS), UCJC.

2019 – present Preparation and delivery of the undergraduate course Fundamentals of Probability and Statistics, IE University.

2012 – 2019 Preparation and delivery of the undergraduate course Statistics II (5 ECTS), IE University.

2012 – 2018 Preparation and delivery of the undergraduate course Statistics I (5 ECTS), IE University.

Industrial experience

1995 – 2000 Technologist at M.Kaindl, Salzburg, Austria

2008 – 2010 Production Manager at Krono Jiangsu Wood Based Panels CO., LTD, Danyang, China

2008 – 2010 President Assistant at Krono Jiangsu Flooring CO., LTD, Danyang, China

Publicaciones

Articles

Ladstätter, F., Garrosa, E., Cooper-Thomas, H. D., Moreno-Jiménez, B., Ponsoda, V., & Song, S. (2018). Deciphering hardiness: Differential relationships of novelty seekers, rigid control, and hardy profiles on nurses’ burnout and their effects. Nursing and Advanced Health Care, 2(1), 8.

Ladstätter, F., Garrosa, E., Moreno-Jiménez, B., Ponsoda, V., Reales, J., & Dai, J. (2016). Expanding the occupational health methodology: A concatenated artificial neural network approach to model the burnout process in Chinese nurses. Ergonomics, 59(2), 207-221. doi:10.1080/00140139.2015.1061141

Ladstätter, F., Garrosa, E., & Dai, J. (2014). Neural Network Analysis of Nonlinear Effects of Hardiness on Burnout in Chinese Nurses. Open Journal of Social Sciences, 02(05), 96-99. doi:10.4236/jss.2014.25019

Garrosa, E., Ladstätter, F., Moreno-Jiménez, B., Gan, Y., & Carmona-Cobo, I. (2014). The Experience of Work Engagement, Hardy Personality, Optimism and Subjective Well-Being among Nurses from China and Spain. Open Journal of Social Sciences, 02(05), 106-109. doi:10.4236/jss.2014.25021

Garrosa, E., Carmona-Cobo, I., Ladstätter, F., Blanco, L. M., & Cooper-Thomas, H. D. (2013). The relationships between family-work interaction, job-related exhaustion, detachment, and meaning in life: A day-level study of emotional well-being. [La relación entre interacción familia-trabajo, agotamiento relacionado con el trabajo, distanciamiento y significado de la vida: estudio del bienestar emocional a nivel diario]. Revista de Psicología del Trabajo y de las Organizaciones, 29(3), 169-177. doi:10.5093/tr2013a23

Ladstätter, F., Garrosa, E., Badea, C., & Moreno-Jiménez, B. (2010). Application of artificial neural networks to a study of nursing burnout. Ergonomics, 53(9), 1085-1096. doi:10.1080/00140139.2010.502251

Garrosa, E., Moreno-Jiménez, B., Ladstätter, F., & Liang, Y. (2006). Globalization of occupational health: China’s development and reform. Medicina y Seguridad del Trabajo, 52(202), 39-44.

Book Chapters

Garrosa, E., Moreno-Jiménez, B., & Ladstätter, F. (2013). Resiliencia y salud laboral Salud laboral: riesgos laborales psicosociales y bienestar laboral (pp. 343-360). Madrid: Piramide Ediciones Sa.

Books

Ladstätter, F., & Garrosa, E. (2008). Prediction of burnout: An artificial neural network approach. Hamburg: Diplomica Verlag.