جستجوی استاد راهنمای دانشگاهی

Susanne Reindl-Krauskopfمشاهده پروفایل

استاد

• Criminal Law (General & Special Part)
• Criminal Procedure Law
• Cybercrime & IT-Criminal Law
• +۷ مورد دیگر

Prof. Dr. Susanne Reindl-Krauskopf is University Professor of Criminal Law and Criminology at the University of Vienna, Honorary Professor at The University of Queensland, and head of Vienna's Institute for Criminal Law and Criminology. She teaches and researches in Austrian, European and comparative criminal law with focus on cybercrime, organised crime, corruption, pre-trial detention and human-rights-compliant criminal procedure. Education & Qualification: Doctor of Laws (University of Vienna) Habilitation in Criminal Law and Procedure Honorary Professor, The University of Queensland (since 2010) Research Focus: Her work spans the general and special parts of criminal law, criminal procedure, cyber and IT criminal law, economic and corruption offences, transnational organised crime, environmental crime, and the intersection of artificial intelligence with criminal justice. She coordinates numerous interdisciplinary projects and supervises a large team of doctoral researchers. Publications & Editorial Work: Author of leading textbooks (eight editions of Criminal Law Special Part with H. Fuchs, Cybercrime Law , IT Criminal Law , Environmental Criminal Law , Corruption Criminal Law ), commentaries on the Austrian Criminal Code and Code of Criminal Procedure, and over 100 journal articles and handbook contributions. Editorial board member of Juristische Blätter and co-editor of the series Criminal Sciences in Theory and Practice . Research Projects & Grants: “Social-benefit fraud and labour dumping” (Federal Ministry of Labour, 2012) “Criminal Organisations – dogmatic evaluation of § 278a StGB” (Federal Ministry of Justice, 2012) “Resilience of Law in Times of Crisis” (Ministry of Interior, 2017) Jean Monnet Network “Transnational Security” (EU, 2018-2021) Teaching & Supervision: She offers intensive courses in criminal procedure, seminars on transnational organised crime and AI & criminal law, and continuously supervises diploma, doctoral and post-doctoral researchers within the institute's graduate programme.

• Industrial Organisation
• Competition Economics
• Econometrics of Dynamic Games
• +۳ مورد دیگر

Philipp Schmidt-Dengler is University Professor of Economics at the University of Vienna and Vice-Dean of its Faculty of Business, Economics and Statistics. He is also Research Affiliate of the Centre for Economic Policy Research (CEPR) and Research Fellow of the Mannheim Centre for Competition and Innovation (MaCCI), among other international affiliations. Education Ph.D. in Economics, Yale University, December 2005 M.A. in Economics, Queen’s University, October 2000 B.A. in Economics, University of Vienna, March 1998 Research Interests Professor Schmidt-Dengler’s research lies at the intersection of industrial organisation , applied econometrics and competition policy . A major strand develops structural methods for estimating dynamic oligopoly games and applies them to study entry, investment and technology adoption. A second strand analyses consumer search, price dispersion and the effects of indirect taxation in retail markets. Recent work also evaluates health-care market reforms, auction design and the impact of state aid on firm survival. Scientific Awards & Fellowships Zellner Thesis Award, American Statistical Association (2006) AER Excellence in Refereeing Award (2010) Young Economist Award, Austrian Economic Association (2008) Young Economist Essay Award, E.A.R.I.E. (2005) Carl Anderson Prize Fellowship, Cowles Foundation (2004) Yale and Queen’s University Graduate Fellowships Research Funding “Business Use of Digital Platforms”, OeNB Jubiläumsfonds (2020-23) “Understanding Consumer Search”, Austrian Science Fund (FWF, 2018-21) “Individual Behaviour and Aggregate Economic Outcomes”, FWF Doctoral School (2017-20, Speaker) DFG SFB-TR15 Grant on “Stability, Competition and Liquidity in Financial Markets” (2012-15) ESRC Award on “General Pre-emption Games” (2006-07) Editorial & Professional Service He served as Co-Editor of the International Journal of Industrial Organization (2014-21), Associate Editor of the Review of Economic Studies , Journal of Applied Econometrics , Journal of the European Economic Association and is Editor of the Journal of Industry, Competition and Trade . He has advised the Bank of Canada, the UK Competition Commission and the Austrian Competition Authority.

• Soft Matter Physics
• Polymer Physics
• Rheology
• +۲ مورد دیگر

Nikolaos Kalafatakis is a Lecturer at the Faculty of Physics, University of Vienna, affiliated with the Computational and Soft Matter Physics research group. He teaches theoretical physics courses including Thermodynamics and Statistical Physics for teacher students and advanced physics exercises. His educational background includes: Master of Science (M.Sc.) His research spans soft matter physics with emphasis on polymer dynamics, rheological characterization, and nanomaterial behavior. Key focus areas include elastomer composites, hairy nanoparticle systems, dendrimer-based hybrids, and 3D-printed biopolymers. His experimental work integrates rheo-microscopy with computational modeling to probe structure-property relationships in complex fluids and soft materials. Analysis of his 2021-2025 publications reveals a consistent methodology combining novel instrumentation development (e.g., ShearView rheometer) with fundamental studies of transitions in polymeric systems. His work bridges materials science, physics, and engineering with practical applications in polymer technology and additive manufacturing. No scientific awards were documented in the available sources. Information regarding student supervision or research grants was not provided in the source materials. He actively contributes to the Computational and Soft Matter Physics group at the University of Vienna, advancing experimental techniques for characterizing soft material behavior across multiple scales.

Bernad Batinicمشاهده پروفایل

استاد

• Work and Organizational Psychology
• Media Psychology
• Online Research Methods
• +۵ مورد دیگر

Bernad Batinic is a Professor at Johannes Kepler University Linz, where he serves as Head of the Department of Work, Organizational, and Media Psychology and Director of the Institute of Psychology. He has held these leadership positions since founding the department in 2005 and becoming Institute Director in 2007, and has been a university professor at JKU Linz since 2004. Batinic completed his psychology education at the University of Giessen (1995), earned his doctorate at the University of Erlangen-Nuremberg in 2001 (summa cum laude, with faculty prize), and habilitated there in 2006. He also served as a visiting professor at the University of Marburg in 2003. His academic career shows continuous progression from research assistant positions to his current leadership roles. His research primarily focuses on the relationship between work and well-being, examining how employment status affects mental health through longitudinal studies with five waves of data collection. Batinic has repeatedly demonstrated the mediating role of Marie Jahoda's latent functions of work in the relationship between employment aspects and well-being. He also investigates media psychology, particularly the use and effects of new technologies, internet-based data collection methods (including web experiments and panel research), personnel development, and opinion leadership/trendsetting phenomena. A pioneer in online research methodology, he conducted one of the first online surveys on Usenet in 1994 and published the first online guide for conducting online surveys in 1995. Analysis of Batinic's recent publications (2020-2025) reveals a strong methodological evolution toward integrating technological approaches, including wearable devices for experience sampling and objective measurement of digital behavior. His work increasingly combines traditional psychological assessment with real-world behavioral data, examining topics like fear of missing out, chatbot interactions, laughter in daily life, and the relationship between job characteristics and physical activity. The research consistently applies longitudinal and meta-analytic approaches to understand the complex relationship between work, technology, and psychological well-being. Bernad Batinic has served in numerous leadership roles at JKU Linz beyond his departmental and institute director positions. He was the spokesperson for the professorial committee of the Faculty of Social and Economic Sciences and remains an active member of various university commissions and bodies, including as department spokesperson, senate member, and member of the study commission for web sciences. Notably, in 2015 he declined an offer for a W3 professorship at the University of Trier that would have included management of the Leibniz Center for Psychological Information and Documentation. He leads a productive research team that has generated numerous publications in high-impact journals including Journal of Occupational and Organizational Psychology, Frontiers in Psychology, and European Journal of Work and Organizational Psychology. His work has practical applications in organizational settings and has informed the development of measurement tools like the New Work Values Scale (NWVS) and the Latent and Manifest Benefits of Work (LAMB) scale. Batinic has also co-founded several companies related to his research, including Globalpark AG (now Questback), tivian GmbH, and respondi AG, where he served in advisory capacities.

Thomas Forstnerمشاهده پروفایل

مدرس ارشد

• Medical Statistics
• Biostatistics
• Dental Implant Research
• +۳ مورد دیگر

Thomas Forstner is a Senior Lecturer and Deputy Head of the Department of Applied Systems Research and Statistics at Johannes Kepler University Linz. With over 15 years of academic experience, he has established himself as a prominent researcher in medical statistics with a particular focus on dental implant studies and clinical research methodology. His educational background includes: Bachelor's degree in Statistics from Johannes Kepler University Linz (2005), with thesis on "Imputation methods in Austrian economic statistics" and "Selected multiple test procedures" Master's degree in Statistics from Johannes Kepler University Linz (2007), graduated with distinction, with thesis on "ROC curves as a means of evaluating classification schemes" Dr. Forstner's research primarily focuses on medical statistics, particularly in dental implantology and clinical research. His work examines classification systems, covariate adjustment in medical studies, and statistical methodology for clinical trials. He has made significant contributions to understanding factors affecting dental implant success, sinus augmentation procedures, and bone regeneration techniques. His research bridges statistical methodology with practical clinical applications, providing valuable insights for both statisticians and medical professionals. His recent publications demonstrate a strong trajectory in dental implant research, with particular emphasis on sinus augmentation techniques, bone grafting materials, and long-term outcomes of implant procedures. He has also maintained an active interest in statistical methodology, particularly in multiple testing procedures and educational applications of statistics. Dr. Forstner is actively involved in teaching statistics across multiple disciplines including Business Informatics, Computer Science, and AI. He also teaches specialized courses in Biostatistics and Clinical Research at both JKU and external institutions including the University of Applied Sciences for Health Professions in Linz and Steyr.

Werner Pölzمشاهده پروفایل

استاد

• Applied Systems Research
• Statistics
• Econometrics
• +۲ مورد دیگر

Werner Pölz is a Professor and Head of the Department of Applied Systems Research and Statistics at the Institute for Computer Architecture (ICA) of Johannes Kepler University Linz (JKU), Austria. He has maintained continuous affiliation with JKU since 1977, progressing from University Assistant to his current leadership role while contributing to academic governance and research. Education High School, Gmunden (1964-1972) Diploma in Social and Economic Statistics, Sociology, and Economics, JKU (1972-1977); Thesis: "Isometry of the Semantic Differential"; Graduated May 24, 1977 (Magister rerum socialium oeconomicarumque) Doctorate in Social and Economic Sciences, JKU (1977-1980); Dissertation: "Prognosis of adolescents at risk of drug or cult addiction"; Promoted May 6, 1980 (Doctor rerum socialium oeconomicarumque) Habilitation in Applied Systems Research, JKU (1988); Thesis: "A dispositional statistical method for optimal information extraction from data systems with different levels of characteristic expression"; Awarded Venia docendi May 15, 1988 Research Focus Professor Pölz specializes in Applied Systems Research and Statistical Methodology , with significant contributions to Medical Statistics through clinical study supervision. His work bridges theoretical frameworks (econometrics, semantic differential analysis) and practical applications in social risk prognosis and healthcare systems. International collaborations in Belgium, USA, and Germany underscore his interdisciplinary approach, while his 2024 conclusion of service on Upper Austria's Leading Ethics Committee reflects engagement with research ethics in medical contexts. Scientific Recognition Richard Büche Prize Prize of the Industrial Association Honorary Citizen of Sanford, USA Prize of the Association for Minimally Invasive Surgery Peace Ambassador designation Austrian Red Cross Silver Medal of Merit Academic Leadership As Head of Department since 2006 (continuously from 2013), Pölz directs statistical research initiatives within JKU's Institute for Computer Architecture. His teaching portfolio includes graduate-level instruction in Theoretical and Applied Statistics, Econometrics, and Systems Research methodology. With over 200 publications, his scholarly output demonstrates sustained research productivity across social, economic, and medical domains without reliance on external grant disclosures in the source material.

• Computer Vision
• Explainable Machine Learning
• Statistical Models in AI
• +۳ مورد دیگر

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.

• Computer Vision
• Sensor-based Activity Analysis
• Imaging
• +۳ مورد دیگر

Md Atiqur Rahman Ahad is a Professor at the University of Dhaka (DU) and a Specially Appointed Associate Professor at Osaka University. His academic career spans multiple institutions across Bangladesh, Australia, and Japan. His educational background includes: B.Sc.(Honors) and Masters from University of Dhaka Masters from University of New South Wales PhD from Kyushu Institute of Technology Professor Ahad is a recognized expert in computer vision and activity analysis. His research focuses on: Computer Vision and Image Processing Sensor-based Activity Analysis Human-Media Interaction Gesture and Activity Recognition Imaging Technologies His recent publication trends show a strong emphasis on activity recognition using various sensor modalities and computer vision techniques. He has published extensively on packaging activity recognition, gait analysis, and hand gesture recognition, demonstrating expertise in both theoretical foundations and practical applications of vision-based activity understanding. Professor Ahad serves in editorial roles for academic journals: Associate Editor for Human-Media Interaction, Frontiers in Computer Science Guest Associate Editor for Big Data Networks, Frontiers in Big Data

• Number Theory
• Uniform Distribution Theory
• Discrepancy Theory
• +۳ مورد دیگر

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.

Ariane Carranceمشاهده پروفایل

پژوهشگر

• Combinatorics
• Probability Theory
• Discrete Metric Spaces
• +۵ مورد دیگر

Ariane Carrance is a postdoctoral researcher at the Department of Mathematics, Faculty of Mathematics, University of Vienna, where she works with Professor Nathanaël Berestycki. Her research program bridges combinatorics, probability theory, and theoretical physics with applications to quantum gravity. PhD in Mathematics, Institut Camille Jordan, supervised by Grégory Miermont and Fabien Vignes-Tourneret Postdoctoral position at Laboratoire de Mathématiques d'Orsay with Nicolas Curien and Jean-François Le Gall Hadamard lecturer at Centre de Mathématiques Appliquées de l'École polytechnique Dr. Carrance specializes in the combinatorial and probabilistic aspects of discrete metric spaces. Her work in dimension 2 focuses on specific families of maps, while in higher dimensions she investigates "colored trisps" and associated tensor models. She has made significant contributions to the understanding of random discrete structures and their continuum limits, with implications for quantum gravity theories. Her research combines deep theoretical insights with computational approaches, including development of mathematical software. Dr. Carrance's publication record demonstrates a consistent progression from foundational work on planar maps and triangulations toward more complex higher-dimensional structures. Her recent work shows increasing sophistication in handling the interplay between combinatorial structures and probabilistic phenomena, with particular attention to asymptotic behaviors and scaling limits. The mathematical tools she employs span from classical combinatorics to advanced probability theory and computational mathematics. Dr. Carrance has collaborated with leading researchers in probability theory including Nicolas Curien, Jean-François Le Gall, and Nathanaël Berestycki. She co-developed the SageMath package dynpuiseux for Puiseux series expansions, demonstrating her commitment to computational approaches in pure mathematics. Her research is supported through postdoctoral fellowships and academic positions at prestigious institutions across Europe. As a member of the probability research group at the University of Vienna, Dr. Carrance contributes to a vibrant mathematical community focused on stochastic processes, random geometry, and their applications. Her work connects with broader efforts to understand the mathematical foundations of quantum gravity through discrete approaches.

• Cybersecurity
• Energy Informatics
• Smart Grids
• +۳ مورد دیگر

Maximilian Jakob Schirl serves as a Junior Researcher at the Centre for Secure Energy Informatics within the Department of Computer Science, Faculty of Natural and Mathematical Sciences at Paris Lodron University of Salzburg. His work focuses on cybersecurity, energy informatics, and data-driven solutions for smart energy systems, contributing to multiple funded research projects including FTZ CyberSec and ECOSINT. His research spans cybersecurity in energy infrastructure, smart meter data analytics, industry 4.0 adoption, and digital readiness assessment. He employs advanced techniques like reinforcement learning and privacy-preserving algorithms to address challenges in local energy communities, supply chain resilience, and sociodemographic profiling from energy consumption patterns. Key methodologies include microaggregation for data anonymization, load profile analysis, and interoperability frameworks for Austrian energy systems. Recent publications demonstrate a strong trend toward machine learning applications in energy informatics, particularly reinforcement learning for production systems and privacy risk assessment in smart grids. His work bridges theoretical algorithms with practical industrial implementations, emphasizing data-driven optimization of low-voltage networks and secure energy community integration. Dr. Schirl actively participates in major funded projects including FTZ CyberSec (2025-2028) for cybersecurity evaluation, DAWN (2025-2026) for data-driven network optimization, ECOSINT (2021-2024) for energy community integration, and DIH West (2019-2023) supporting SME digitalization. These initiatives involve cross-institutional collaborations with researchers like G. Eibl and D. Radovanovic across Austria. As a core member of the Centre for Secure Energy Informatics, he contributes to developing secure, interoperable energy community frameworks through the ECOSINT project and advances privacy-preserving techniques for smart meter data within the FTZ CyberSec initiative.