جست‌وجوی استاد و پژوهشگر

• Distributive Justice Beliefs
• Global Public Health
• Identification With All Humanity
• +۳ مورد دیگر

Friedemann Trutzenberg is a Researcher and PhD student at the Department of Methods and Evaluation within the Department of Education and Psychology at Free University of Berlin. Since March 2021, he has served as a Research Associate. He holds concurrent affiliations as Visiting Professor at the University of Graz (2024) and Visiting Fellow at the Polish Academy of Sciences (2025). Education: Master's in Psychology (Clinical & Health Psychology), Free University of Berlin (2017-2021) Bachelor's in Psychology, Free University of Berlin (2013-2017) Church Music C-Training, Archdiocese of Cologne & Berlin (2013-2015) Research Focus: Trutzenberg investigates distributive justice attitudes, global public health ethics, and social identification dynamics, particularly 'Identification With All Humanity' (IWAH). His work integrates psychometrics, cross-cultural comparisons, and longitudinal analysis of life events like childbirth. Secondary interests include music-based autism diagnostics and spirituality's role in psychological development. Publications: His recent articles demonstrate methodological rigor in psychometrics and applied social psychology, with recurring themes in global resource allocation, measurement validation, and life-event impacts on identity/spirituality. Work frequently employs advanced statistical modeling and multinational datasets. Awards: Preis für ausgezeichnete Lehre 2024 (Teaching Excellence Award) Affiliations: Collaborates with IWAH Lab (Polish Academy of Sciences) and maintains memberships in DGPs, EAPP, DGPH, EUPHA, and the German-Polish Society. Teaches statistics and research methods courses.

• Global Optimization
• Numerical Analysis
• Data Analysis
• +۳ مورد دیگر

Waltraud Huyer is a faculty member at the Department of Mathematics, Faculty of Mathematics, University of Vienna. Her office is located in Room 04.120 at Oskar-Morgenstern-Platz 1, 1090 Wien, Austria. She actively teaches courses including Numerical Mathematics and Introduction to Mathematics for both undergraduate and secondary school teacher accreditation programs. Her research spans Global and Local Optimization , Numerical Analysis , Data Analysis , Protein Folding , and Population Dynamics with structured populations. She develops advanced optimization algorithms like SNOBFIT for noisy environments and MINQ8 for quadratic programming, while applying mathematical techniques to biological problems such as protein structure prediction and age-structured population modeling. Analysis of her 14 most recent publications (1994-2018) reveals three dominant research thrusts: (1) Algorithmic development in global optimization (7 papers), including multilevel coordinate search and exact penalty functions; (2) Mathematical biology applications (5 papers), particularly in protein folding and population dynamics; (3) Computational verification methods (2 papers) for linear systems and feasibility problems. Her work consistently bridges theoretical mathematics with practical computational implementations. Her scientific contributions include widely-used algorithms implemented in MATLAB, such as the MCS global optimizer and SNOBFIT for noisy optimization, available through the University of Vienna's software repository. Huyer supervises teaching activities for foundational mathematics courses, emphasizing practical computational skills using MATLAB for numerical analysis and regression problems. Her teaching materials include detailed exercise sets with structured assessment criteria requiring both theoretical understanding and programming implementation.