Markus Fulmek is an Associate Professor at the Faculty of Mathematics, University of Vienna , with a focus on combinatorial mathematics and discrete structures. He has contributed extensively to enumerative combinatorics, lattice path enumeration, and algebraic combinatorics through his research. His work centers on combinatorics , particularly in lattice path enumeration , permutation patterns , and determinant identities . He has explored tiling problems for symmetric hexagons, nonintersecting lattice paths, and bijective proofs for Schur function identities, often linking these to broader areas like graph theory and discrete geometry . Recent publications (2021–2023) emphasize tiling configurations for damaged or dented hexagons, permutation matrices, and determinant-based combinatorial identities. His methodology frequently relies on nonintersecting lattice paths and bijective combinatorics .
Heiko Breitsohl serves as Professor and Head of the Institute for Organization, Personnel and Service Management at Alpen-Adria-Universität Klagenfurt, Austria. His academic leadership spans organizational behavior, human resources management, and industrial psychology with significant contributions to presenteeism research and methodological advancements in structural equation modeling. His research portfolio encompasses: Industrial and Organizational Psychology Human Resources Management systems Corporate Volunteering dynamics Employee Retention strategies Presenteeism and Absenteeism phenomena Structural Equation Modeling applications Survey Design and Empirical Social Research Analysis of his 15 most recent publications reveals sustained focus on workplace attendance behaviors, particularly presenteeism, with methodological rigor in scale development (e.g., Workplace Attendance Behavior Legitimacy Scale) and experimental designs. His 2021 collaborative paper in Industrial and Organizational Psychology emphasized critical synergy between substantive theory and methodological precision in organizational research. Scientific Awards: No major scientific awards listed in available sources Details regarding doctoral student supervision and research grant funding are not specified in current institutional profiles, though his leadership role implies oversight of research activities within the Institute. His ORCID and ResearchGate profiles indicate active scholarly engagement through publications and academic collaborations. As Head of Institute, Breitsohl directs research initiatives focused on organizational behavior measurement, employee well-being, and quantitative methodological innovations, maintaining strong connections with international research communities through co-authored publications with scholars across Europe and North America.
Michael Schlosser is an Associate Professor at the Faculty of Mathematics and Department of Mathematics . His research focuses on combinatorics, number theory, and special functions, with a strong emphasis on q-series and hypergeometric series. Research Interests Combinatorics (ascent sequences, lattice paths, rook theory) Number Theory (supercongruences, cyclotomic polynomials, modular forms) Special Functions (theta functions, hypergeometric functions, orthogonal polynomials) Algebra (noncommutative hypergeometric series, matrix inversions) Recent Article Trends (2012-2025) span q-supercongruences, determinant evaluations, asymptotics of Fishburn matrices, lattice path combinatorics, and elliptic hypergeometric series. His work often intersects classical analysis with computational mathematics. Collaborators include prominent researchers like Victor J. W. Guo, Yujun Jin, Ae Ja Yee, Christian Krattenthaler, and Hwang-Fu Zhou.
Brigitte Gicquel is a distinguished Professor at the Pasteur Institute where she has held multiple leadership positions since 1978. She currently serves as Head of the Mycobacterial Genetics Unit at the Pasteur Institute in Paris and Head of the Emerging Bacterial Pathogens Unit at the Pasteur Institute of Shanghai. She previously served as interim scientific co-Director of the Institut Pasteur of Shanghai in 2015 and has been a Professor at the Institut Pasteur since 1998. Dr. Gicquel's research focuses on Mycobacterium tuberculosis genetics and pathogenesis. Her laboratory has developed groundbreaking genetic tools for studying tuberculosis, including the first PCR tests and genotyping methods for rapid tuberculosis diagnosis. Her team determined the first complete DNA sequence of a mycobacterial replicon, developed shuttle vectors for genetic manipulation of mycobacteria, discovered the first mycobacterial transposon, and established procedures for random mutagenesis and allelic replacement. They constructed the first M. tuberculosis mutant library using transposons and identified key virulence genes. Her most significant contributions include discovering DC-SIGN as the major receptor for M. tuberculosis entry into dendritic cells, identifying mechanisms of multi-drug resistance in tuberculosis, and constructing a promising vaccine candidate against tuberculosis currently undergoing clinical trials in collaboration with the University of Saragoza, Spain. Her publication record spans from 1989 to 2012, showing consistent contributions to tuberculosis research with several highly cited papers in molecular microbiology and infectious disease journals. Her scientific achievements have been recognized with prestigious awards: 2008 Canetti Award, France 2006 Award Sustainable Development from the Foundation Ecology and Development, Spain 2004 Chevalier de la Légion d'Honneur 2002 Award Alexandre Joannides from the French Academy of Science Dr. Gicquel's laboratory has participated in implementing rapid tuberculosis diagnostic tests in low-income countries and has made significant contributions to understanding multi-drug resistance mechanisms in M. tuberculosis. Her team discovered that 50% of MDR isolates and over 90% of those resistant to fluoroquinolones also show resistance to pyrazinamide, highlighting the rapid accumulation of additional resistances in MDR strains. Her research unit continues to develop new drug screening approaches for antibacterials targeting M. tuberculosis and has designed algorithms for utilizing remnants from GeneXpert samples for results confirmation and case tracing.
Dr. Gaia Lapomarda is a researcher at the Institute of Psychology, University of Innsbruck, based in the Department of Affective Neuroscience. Her work integrates neuroscience and psychology to explore how emotional states influence cognition and perception, with a strong focus on clinical applications. Research Interests: Affective neuroscience and emotion regulation mechanisms EEG-based biomarkers of emotional processing Neuroimaging of psychiatric disorders (bipolar disorder, borderline personality disorder) Impact of childhood trauma on brain structure and function Temporal perception and sensory processing under emotional states Her research bridges basic neuroscience with clinical psychiatry, employing advanced techniques like multimodal neuroimaging (mCCA+jICA), machine learning for biomarker discovery, and EEG-based investigations of neural oscillations. A recurring theme is how affective states modulate fundamental cognitive processes like time perception and visual processing speed. Key Findings from Publications: Dr. Lapomarda's work reveals altered thalamic-parahippocampal circuits in schizophrenia/bipolar disorder, demonstrates sustained EEG changes post-emotion regulation, and identifies structural brain patterns predicting trauma-related symptoms in borderline personality disorder. Her 2025 study on language comprehension adds a novel social dimension, exploring how perceived speaker identity influences sentence processing.
Markus Faustmann is a Senior Scientist at the Institute for Analysis and Scientific Computing (E 101) within the Faculty of Mathematics and Geoinformation at TU Wien. His research focuses on numerical methods for partial differential equations, with particular emphasis on fractional differential operators, finite element methods (FEM), boundary element methods (BEM), and hierarchical matrices. He has held roles including Senior Lecturer (2016-2021) and currently serves on the management team of TUForMath since 2023. Education: PhD in Mathematics (Dr.techn.), TU Wien (2015) Dipl.-Ing. in Technical Mathematics, TU Wien (2009) Bachelor of Science in Technical Mathematics (B.Sc.), TU Wien (2008) Research Interests: His work addresses non-local operators, elliptic regularity theory, and efficient numerical techniques for fractional PDEs. He develops and analyzes methods like hp-FEM and matrix compression strategies to tackle fully populated matrices arising from non-local problems. Recent projects include FEM-BEM coupling for fractional diffusion and exponential convergence analysis of hp-FEM. Awards: TU Best Teacher Award 2022 TU Best Paper Award 2022 Teaching & Advising: Faustmann teaches courses such as Nonlocal Operators and Numerical Methods for PDEs . He has supervised numerous students in master's theses (e.g., Paul Dunhofer, Tobias Slowiak) and bachelor's projects (e.g., Lukas Sichert, Paul Lucan). His seminars cover topics like randomized algorithms and differential equations. Labs/Teams: Active in the TUForMath initiative and collaborates on projects involving adaptive FEM for fractional operators and H-matrix approximations.
Dr. Georg Mayr is an Associate Professor in the Department of Atmospheric and Cryospheric Sciences (ACINN) at the University of Innsbruck. His research focuses on atmospheric dynamics, lightning prediction, foehn wind patterns, and climate modeling. He leads projects such as LightningPredict and Profcast , addressing environmental risks like upward lightning at wind turbines and atmospheric deserts' impact on extreme weather events. Mayr's work integrates machine learning and statistical methods for probabilistic forecasting, including lightning processes and thunderstorm environments. He has co-authored over 50 peer-reviewed articles since 2016, emphasizing interdisciplinary approaches to climate and meteorological challenges. His team collaborates on tools like foehnix for scalable diagnostics and Cholesky-based regression models for multivariate data analysis. Key contributions include long-term foehn wind reconstructions, spatial lightning climatologies, and risk assessments for tall structures. Mayr's research supports practical applications in renewable energy safety and airport low-visibility forecasts. His lab, ACINN, fosters collaboration across atmospheric science and cryospheric studies.
Damian Sobota is a researcher at the Kurt Gödel Research Center for Mathematical Logic, part of the University of Vienna's Faculty of Mathematics. He holds a PhD from the Institute of Mathematics of the Polish Academy of Sciences under Prof. Piotr Koszmider. His work focuses on applications of infinitary combinatorics and forcing to measure theory, Banach space theory, and functional analysis. His research projects include collaborations on topics like measures in the random model, projections in C(K)-spaces, and the separable quotient problem for C_p(X)-spaces. Recent publications explore Grothendieck properties of Boolean algebras, complemented subspaces in Banach spaces, and convergence of measures in forcing extensions. Awards include the Wacław Marszałek Award for his PhD thesis and recognition in the Józef Marcinkiewicz Student Paper Contest. Awards: Wacław Marszałek Award, Summa Cum Laude honors, Polish academic scholarships Key contributions: Forcing techniques in measure theory, Banach space structure analysis
Wei Wu is a Full Professor and Head of the Institute of Geotechnical Engineering at BOKU University, within the Department of Structural Engineering and Natural Hazards. He leads research in geomechanics, numerical modeling, and AI applications in geotechnical engineering. Doctor of Engineering (Dr.-Ing.), Karlsruhe University, Germany (1986–1993) MSc in Geotechnical Engineering, Xian University of Technology, China (1982–1985) Bachelor in Civil Engineering, Wuhan University, China (1978–1982) Professor Wu's research focuses on geomechanics, granular materials, constitutive modeling, and numerical simulations for landslides, debris flows, and tunneling. His work integrates SPH, DEM, and hypoplastic models to simulate complex soil behavior. He also explores soil bioengineering and AI applications in geotechnics . His recent publications emphasize failure mechanisms, uncertainty analysis, and large deformation modeling using advanced computational methods. His recent articles highlight a strong trend in developing and applying hypoplastic constitutive models combined with meshfree methods (SPH, DEM) for simulating granular flows, landslides, and soil-structure interaction. Research spans from micro-scale particle behavior to macro-scale geohazard modeling , with increasing integration of machine learning and probabilistic frameworks . Advanced Grant, European Research Council, 2024 Gold medal, Technical University of Brno, Czech Republic, 2024 Professor Wu has supervised over 30 PhD and 100 MSc theses . He leads major research projects funded by the European Research Council (ERC) , European Commission , and Austrian Science Foundation , including the €2.5M ERC Advanced Grant 'Modeling transient granular flow' (2024–2029). He serves as founding Editor-in-Chief of Acta Geotechnica and leads the Otto Pregl Foundation for Fundamental Geotechnical Research. He heads the Institute of Geotechnical Engineering at BOKU and co-leads research on AI in Geotechnical Engineering . His team conducts advanced numerical simulations and experimental validations, particularly in landslide dynamics, tunnel stability, and root-reinforced slopes .
Jeremy Oakley is Professor of Statistics and Head of the School of Mathematical and Physical Sciences at the University of Sheffield. His work spans Bayesian statistics, uncertainty quantification for complex computer models, expert elicitation of probability distributions, and health-economic applications. Research Interests Bayesian statistics and inference Uncertainty quantification (UQ) for computer models Expert elicitation of probability distributions Health-economic modelling He co-developed the Sheffield Elicitation Framework (SHELF) , a widely-used set of protocols and software tools for structured expert judgement. Teaching & Supervision Professor Oakley teaches undergraduate and postgraduate statistics modules and supervises PhD students within SoMaS and in collaboration with other departments, focusing on UQ and expert-elicitation topics. Contact Email: j.oakley@sheffield.ac.uk
Dr. Antonio Piolanti is a post-doctoral researcher at the Unit of Health Psychology , Alpen-Adria-Universität Klagenfurt, Austria. His work focuses on mental health promotion and violence prevention , particularly addressing sexual violence , gender-based violence , and adolescent well-being . Conducts systematic reviews and meta-analyses on global mental health issues Develops family-focused interventions for emotional health in conflict-affected populations Collaborates with Heather M. Foran's Lab on multicountry trials Research interests span psychosocial support interventions , trauma assessment , and clinimetric evaluation in primary care settings. His publications analyze violence prevention programs, childhood trauma questionnaires, and post-conflict identity formation. Recent work includes FLOURISH Phase 2 (2025) for adolescent mental health in low-income countries and a global meta-analysis (2025) on child sexual violence prevalence. Earlier studies explored trauma in Rwandan and Cambodian genocide contexts, hypertension stress associations, and bipolar disorder-creativity links.
Christian Toth is a researcher active in fields including Causal Inference, Machine Learning, and Community Detection. His work involves interdisciplinary approaches at the intersection of computer science and neuroscience. Education: BSc Dipl.-Ing. Research focuses on causal modeling, probabilistic graphical models, and signal processing applications. Recent publications address Bayesian causal inference and random walk-based community detection. Collaborations include institutions like Graz University of Technology (inferred from Institute of Signal Processing and Speech Communication affiliation) and researchers in Austria.
Eva Fernandez-Berkes is a Professor at the University of Applied Sciences Burgenland specializing in linguistics with a focus on multilingual language acquisition and syntactic development. Her research primarily examines how multilingual learners develop grammatical knowledge across multiple languages, with particular attention to syntactic structures like relative clauses and wh-movement across different language constellations including Hungarian-German-English and Hungarian-Spanish-English speaker groups. Dr. Fernandez-Berkes' research interests center on multilingualism and language acquisition, particularly how knowledge from previously learned languages influences the acquisition of subsequent languages. She has made significant contributions to the Cumulative Enhancement Model (CEM), which proposes that syntactic knowledge accumulates and enhances with each additional language learned. Her work demonstrates that syntactic development in multilingual acquisition follows principled patterns rather than random transfer, showing that learners' prior linguistic experience selectively enhances their ability to acquire complex syntactic structures in new languages. She has extensively examined specific syntactic phenomena including relative clauses, null anaphora, and wh-movement through elicited production and imitation tasks. Analysis of her publication record from 2012-2023 reveals consistent theoretical and empirical contributions to understanding multilingual syntactic development. Her research demonstrates that syntactic knowledge acquired in previous language learning has a multiplying rather than simply additive effect on subsequent language acquisition. The Cumulative Enhancement Model emerges as a unifying framework across her work, challenging traditional views of language transfer by demonstrating that multilingual development is a principled process where learners selectively integrate linguistic knowledge from across their language constellation. Dr. Fernandez-Berkes has collaborated extensively with Suzanne Flynn on nearly all her publications, indicating a strong and sustained research partnership in the field of multilingual language acquisition. Her work has appeared in reputable academic venues published by Cambridge Scholars Publishing, John Benjamins, Springer, and Cambridge University Press, with some publications receiving over 700 citations. While specific grant information isn't provided in the available materials, her sustained research output suggests active funding support for her work in language acquisition.
Fernando Cordero is a University Professor of Mathematics at the University of Natural Resources and Life Sciences, Vienna (BOKU), where he is affiliated with the Institute of Mathematics. Previously, he held positions as Senior Academic Councillor (2022-2024), Research Associate (2013-2022) at Bielefeld University, Research Associate at the University of Vienna (2010-2012), and Teaching and Research Assistant at Sorbonne Université (2008-2010). His research spans two main areas: population genetics and mathematical finance. In population genetics, he investigates deterministic and stochastic population models subject to evolutionary forces of mutation and selection, with particular focus on elucidating ancestral structures and establishing relationships between forward and backward models. His methodological approach combines analytical techniques (ordinary, partial, or stochastic differential equations), probabilistic methods (Markov processes), and combinatorial analysis. In mathematical finance, his research focuses on problems related to the existence and quantification of arbitrage and asymptotic arbitrage in financial markets under friction. Analysis of his recent publications reveals a strong focus on the intersection of probability theory and evolutionary biology, particularly examining mutation-selection balance, coalescent theory, and ancestral processes. His work demonstrates sophisticated applications of stochastic processes to model evolutionary dynamics, with increasing attention to dormancy effects and environmental randomness in population models. In finance, his research investigates the mathematical foundations of arbitrage in complex market structures. Dr. Cordero maintains active scholarly engagement through his ORCID (0000-0001-5959-0787), ResearcherID (KFT-0082-2024), and Google Scholar profile (sDMxaqIAAAAJ), reflecting his contributions to both theoretical mathematics and its applications in biology and finance.
Prof. Michael Drmota is a distinguished academic at TU Wien's Department of Combinatorics and Algorithms, part of the Faculty of Mathematics and Geoinformation. He leads research in discrete mathematics, focusing on combinatorics, number theory, and random discrete structures. His work bridges pure mathematics with applications in computer science and statistical physics. Research Interests: Drmota's expertise spans analytic combinatorics, additive number theory, random graph theory, and the study of automatic sequences. He explores topics like prime number distributions, planar map structures, and stochastic processes in discrete systems. His methods often involve generating functions, singularity analysis, and probabilistic techniques. Key Projects: He coordinates major research initiatives including Arithmetic Randomness , Shape Characteristics of Planar Maps , and Infinite Singular Systems . These projects investigate foundational questions in combinatorics and number theory, with implications for algorithm design and mathematical physics. Advising & Collaboration: Drmota supervises graduate students and collaborates internationally. Notable advisees include Andreas Nessmann (discrete polyharmonic functions), Lucas Unterberger (Erdős-Ko-Rado theorems), and Guan-Ru Yu (pattern occurrences in planar maps). His work appears in top-tier journals and conference proceedings. Labs/Teams: Active in TU Wien's Network Lab , he fosters interdisciplinary research on complex networks and algorithmic combinatorics.
