Siavash Arjomand Bigdeli serves as an Associate Professor of Computer Vision at the Technical University of Denmark, following prior employment as a scientist at the Swiss Center for Electronics and Microtechnologies (CSEM). His research focuses on: Ante-/Post-Hoc explainability of machine learning models Integration of statistical models in learning/inference processes Philosophical methodologies in artificial intelligence development Advanced computer vision techniques for visual understanding Recent publications reveal consistent specialization in image restoration and stereo vision, employing deep learning architectures and probabilistic graphical models to solve core challenges in visual data reconstruction and temporal coherence. His work demonstrates strong interdisciplinary connections between theoretical machine learning, practical computer vision applications, and epistemological considerations in AI systems.
Johannes Schneider is a Professor of Economics at Johannes Kepler University Linz, Department of Economics, specializing in microeconomic theory with applications to innovation, organizational behavior, and legal frameworks. His research examines strategic information use, incentive structures, and decision-making under constraints across diverse economic contexts. His core research interests include Microeconomic Theory, Innovation & Research, Law & Economics, Organizational Economics, and Industrial Organization. Schneider investigates how information asymmetries shape outcomes in scientific knowledge production, organizational conflict resolution, and legal dispute mechanisms, employing rigorous game-theoretic modeling to derive practical insights for real-world economic systems. Recent publications in top journals like Econometrica and the Journal of the European Economic Association reveal consistent themes: strategic information management in innovation processes, conflict dynamics within organizations, and the interplay between verifiable and non-verifiable information in legal-economic contexts. His work demonstrates how theoretical frameworks explain phenomena ranging from scientific progress to standard-setting organization coordination. Scientific Awards: IJIO Best Paper Award (Best Theoretical Paper 2021) for "Persuading to Participate: Coordination on a Standard" No information on student advising or research grants was provided in available sources. Similarly, laboratory affiliations or team structures were not documented in the source material.
Ursula Schneider is a Senior Scientist and Deputy Director of the Brenner Archive, a research institute at the University of Innsbruck, where she has been employed since 2009. She specializes in managing archival holdings—including manuscripts, letters, and photographs—with a focus on preserving cultural legacies. Schneider earned her doctorate in comparative literature and German philology from the University of Innsbruck after initial studies in Vienna. Her research centers on literary preservation, particularly the estates of Austrian authors like Karl Felix Wolff (Dolomite legends) and Fritz von Herzmanovsky-Orlando. She actively documents working materials of contemporary writers (e.g., Felix Mitterer) and leads initiatives to recover underrepresented legacies of women authors, addressing historical archival gaps. Schneider collaborates with colleagues and interns on research projects, such as tracing letters of deceased authors. She balances archival work with gardening, which she cites as a source of creative problem-solving.
Olga Mula Hernandez is a Professor of Mathematics at the University of Vienna since September 2025, holding the Chair of Computational Partial Differential Equations. Previously, she served as an Associate Professor at Eindhoven University of Technology (2022-2025) and Assistant Professor at University Paris-Dauphine (2015-2022). Her educational background includes a double master's degree in Applied Mathematics and Nuclear Engineering from École Polytechnique (France) and Escuela Politécnica (Madrid) (2005-2011), followed by a PhD in Applied Mathematics from Sorbonne University (2011-2014). She also completed a postdoctoral fellowship at RWTH Aachen (2014-2015). Professor Mula's research centers on numerical analysis of partial differential equations with data-driven integration. Her work spans mathematical foundations of scientific machine learning (including PINNs), high-dimensional nonlinear approximation for PDE solvers, data assimilation and inverse problems, numerical optimal transport, and structure-preserving numerical schemes. She develops explainable, data-efficient computational methods that leverage physical insights rather than relying on black-box machine learning approaches. Her methodologies address critical applications across 3D-printing, haemodynamics, environmental pollution modeling, epidemiology, and nuclear engineering, where accurate physics-based simulations are essential for real-world problem solving.
Christoph Baxa is an Associate Professor in the Department of Mathematics at the University of Vienna, where he has been a faculty member since 2000. His academic career at the University of Vienna began in 1990 as an Assistant Professor in the Department of Statistics, then moved to the Department of Mathematics in 1992, where he was promoted to Associate Professor in 2000. He maintains an active research profile and teaching load, with courses scheduled through 2025. Dr. Baxa completed his academic training at the University of Vienna, earning his M.A. in 1990 with a thesis on prime representing functions and Hilbert's Tenth Problem, his Ph.D. in 1994 on the discrepancy of sequences (nα), and his Habilitation in 2000 on estimates for discrepancies of special uniformly distributed sequences. His research focuses on Number Theory, particularly Uniform Distribution Theory, Discrepancy Theory, Continued Fractions, and Diophantine Approximation. His work often connects number theory with mathematical logic, as evidenced by his early research on Diophantine representations. His recent scholarly activity is dominated by book reviews for Monatsh. Math., covering diverse areas including algebraic geometry, number theory, history of mathematics, and mathematical education. Dr. Baxa has received several prestigious awards including the Ph.D. sub auspiciis Praesidentis rei publicae, the Würdigungspreis from the Austrian Ministry of Science and Research, the Jubiläums-Studienpreis from the Austrian Mathematical Society, and the Edmund und Rosa Hlawka Preis from the Austrian Academy of Sciences. He has held research grants from the Austrian Science Fund and was an Erwin Schrödinger Fellow at the University of Colorado at Boulder from 2001-2003. As a professional service, he has been a regular reviewer for Mathematical Reviews since 1996 and reviews books for Monatsh. Math. He is a member of numerous mathematical societies including the AMS, DMV, EMS, LMS, ÖMG, and SMF.
Theresia Eisenkölbl serves as a Lecturer in the Department of Mathematics at the University of Vienna, teaching core undergraduate courses including Analysis and Linear Algebra 1 , Linear Algebra for Advanced Students , and specialized offerings like Topics in Combinatorics and The Art of Problem Solving . She also supervises Bachelor’s and Master’s seminars focused on secondary mathematics enrichment. Her research spans: Combinatorics : Exploring structural and enumerative problems Algebra : Emphasizing linear algebra applications Mathematics Education : Developing curricula for secondary school enrichment Problem-Solving Pedagogy : Cultivating analytical skills across educational levels Her work bridges theoretical mathematics with practical classroom strategies, particularly through seminar-based enrichment programs. Dr. Eisenkölbl maintains active teaching responsibilities across multiple academic terms (including 2025W/2025S), with her research profile registered in u:cris. She is based in Room 11.138 at Oskar-Morgenstern-Platz 1, Vienna, and engages directly with students through tutorials and advanced coursework.
Adrian Weishörndl serves as a Tutor within the Department of Mathematics at the University of Vienna, actively conducting tutorials for first-semester students as part of the foundational mathematics curriculum. His academic focus centers on undergraduate mathematics education, with research interests spanning Calculus, Linear Algebra, Algebra, and Analysis—critical areas for early-stage STEM training. This departmental alignment emphasizes practical instructional support over theoretical specialization. In his teaching role, Weishörndl provides direct problem-solving guidance to new university students, facilitating their transition into rigorous mathematical thinking through structured tutorial sessions.
