جستجوی استاد راهنمای دانشگاهی

Martina Löwمشاهده پروفایل

استاد

• Sociological Theory
• Urban Sociology
• Space Theory
• +۱ مورد دیگر

Prof. Dr. Martina Löw is a Professor of Sociology at Technische Universität Berlin, holding the Chair of Sociology of Planning and Architecture. She serves as head of the DFG-funded Collaborative Research Centre SFB 1265 "Re-Figuration of Spaces" and previously held leadership roles including President of the German Sociological Association (2011-2013) and professorship at Technical University Darmstadt. Löw's research centers on the dynamic interplay between social structures and spatial configurations, with expertise in sociological theory, urban sociology, space theory, and cultural sociology. Her theoretical framework of "re-figuration of spaces" examines contemporary spatial transformations driven by globalization, digitalization, and migration, emphasizing how urban environments shape and are shaped by social practices. Her publication trajectory from 2001-2020 reveals consistent focus on spatial sociology, evolving from foundational work on space construction to current analyses of urban inequality, experiential city dynamics, and commons management within re-figurative contexts. Key thematic threads include spatial uncertainty, shared meaning production, and governance of interconnected urban systems. Scientific Awards: Christian-Wolff prize from Martin-Luther-University Halle-Wittenberg for habilitation thesis "Raumsoziologie/Sociology of Space" Research Leadership: Löw directs the major DFG Collaborative Research Centre SFB 1265 and previously coordinated the LOEWE focus "Intrinsic Logic of Cities," securing substantial funding from German research foundations. Her work supports interdisciplinary investigations into spatial dynamics across urban, digital, and global scales. Research Environment: As SFB 1265 head, Löw leads a large multi-institutional consortium examining contemporary spatial re-figuration. The center integrates urban studies, sociology, and planning perspectives to address challenges including social inequality and sustainable spatial development in rapidly changing environments.

• Mechanical Engineering
• Tribology
• Systems Engineering
• +۳ مورد دیگر

Hannes Hick is a Professor at Graz University of Technology , affiliated with the Institute of Machine Elements and Development Methodology . His research focuses on mechanical development, tribology, and systems engineering for automotive and industrial applications. He actively contributes to engineering education and methodology standardization. Research Interests Hydrogen internal combustion engines System modeling and digital twins Tribology in electric drivetrains Sustainable engineering practices MBSE (Model-Based Systems Engineering) Friction and wear analysis Article Trends His recent work emphasizes hydrogen propulsion systems, model-based approaches for interdisciplinary engineering challenges, tribological optimization for sustainable mobility, and integrating AI with mechanical design workflows. Labs and Teams He leads research at the Institute of Machine Elements, focusing on mechanical validation and development methodologies for advanced powertrain systems.

Sagiv Shmuelمشاهده پروفایل

استاد

• Software verification
• Shape analysis
• Smart contracts
• +۷ مورد دیگر

Prof. Sagiv Shmuel is a Full Professor at Tel-Aviv University's Department of Computer Science. He has held various academic roles, including Associate Professor (2004–2005), Senior Lecturer (2000–2004), and visiting positions at institutions such as the University of Chicago and University of Copenhagen. His research focuses on software verification, shape analysis, smart contracts, and programming languages. Education: Ph.D. in Computer Science, Technion (1986–1990) B.A. in Computer Science, Technion (1982–1985), cum laude Research Interests: His work addresses challenges in static analysis, formal verification, and program analysis. Notable areas include invariant inference, smart contract security, and parametric shape analysis. These contributions have led to practical tools like Ivy and the foundation of Certora, a company specializing in smart contract verification. Awards: ACM Fellow (2016) Friedrich Wilhelm Bessel Research Award (2002) Microsoft Outstanding Collaborator Award (2016) Grants & Leadership: Principal Investigator (PI) of a Senior ERC Grant (1.57M Euros) for software composition verification Editor of Foundations and Trends in Programming Languages Chair of program committees for POPL, SAS, and other leading conferences His research has been applied to real-world systems, such as improving the Java concurrent library and ensuring kernel extension security in Linux.

Josef Altmannمشاهده پروفایل

استاد

• Human-Computer Interaction
• User Interaction
• Personalization
• +۹ مورد دیگر

Josef Altmann serves as a Professor at the University of Applied Sciences Upper Austria, specifically within the School of Informatics, Communications and Media at the Hagenberg Campus. He leads research activities at the Research Center Hagenberg Knowledge Media and Engineering and contributes to the AIST Digital Transformation Strength area focused on ICT - Information & Communication Technology. His academic credentials include Mag. Dr. qualifications, reflecting advanced academic achievements in his field. Professor Altmann's research spans multiple interconnected domains of Human-Computer Interaction, with particular emphasis on user interaction , personalization , and digital platform development . His work consistently addresses practical applications across diverse sectors including volunteering systems, construction technology, and intralogistics. The research fingerprint analysis reveals strong concentrations in Human-Computer Interaction (77%), User Interaction (100%), Personalization (64%), and Input Devices (64%), with notable contributions to Tabletop interfaces (59%) and Neurorehabilitation (47%). His approach integrates theoretical HCI principles with real-world problem-solving, particularly evident in his development of goal-oriented volunteering platforms and industry 4.0 applications. Analysis of his recent publication trends shows a clear trajectory toward applied research with societal impact. His 2024 works focus on leveraging Large Language Models for volunteering platforms, demonstrating adaptation to emerging AI technologies. Earlier publications (2021-2022) established foundations in mixed reality applications for intralogistics and digital transformation of construction sites. The consistent thread across his work involves creating user-centered digital solutions that address specific domain challenges while advancing HCI methodologies. His publications appear primarily in computer science venues with strong industry relevance. Best Paper Award HUCAPP 2018 - International Conference on Human-Computer Interaction Theory and Applications Professor Altmann actively contributes to the research ecosystem through numerous funded projects. Current major initiatives include iReduce (2025-2026) focusing on alarm flood reduction in critical infrastructure, AI-supported knowledge database development for industrial plastics production (2024-2027), and CIvolunteer (2023-2025) for digital volunteer engagement. He serves as a key researcher in these collaborative efforts, often working with Schönböck, Augstein, and Bodenhofer. His grant portfolio demonstrates strong industry-academia collaboration, particularly with COMET Competence Centers and KIRAS research programs. He also maintains an active role in the scientific community through conference participation, peer review activities, and organizational contributions. As part of the Research Center Hagenberg Knowledge Media and Engineering, Professor Altmann contributes to a vibrant research environment focused on digital transformation. His work intersects with several research teams focusing on human-centered computing, with particular connections to groups working on interaction design, digital platforms, and industry 4.0 applications. The collaborative nature of his projects indicates strong integration within both the university's research structure and external industry partnerships, particularly in the Austrian technology sector.

• Real-time systems
• Multi-threaded systems analysis
• Weak memory models
• +۵ مورد دیگر

Johann Blieberger is an Associate Professor and Head of the Institute of Computer Engineering at Technische Universität Wien. He also leads the Automation Systems Research Unit (E191-03) and serves as a Principal Member of the Faculty Council. His work focuses on real-time systems, concurrent programming, railway operation optimization using Kronecker Algebra, static analysis, and Ada programming. Key projects include developing simulation tools for sustainable public transport (2021–2023), coordinating autonomous vehicles in pedestrian environments (2017–2019), and optimizing railway systems via Kronecker Algebra (e.g., the Zagreb-Rijeka line). He has secured grants from the Austrian Research Promotion Agency (FFG) and Austrian Science Fund (FWF). Blieberger’s research interests span weak memory models, symbolic evaluation, and algorithm analysis. He actively contributes to the ISO JTC1/SC22/WG9 committee for Ada language development. His advising spans multiple PhD and master’s theses, including work on concurrent program verification and Kronecker Algebra applications.

Michael Bronsteinمشاهده پروفایل

استاد

• Geometric machine learning
• Deep learning on graphs
• 3D shape analysis
• +۷ مورد دیگر

Michael Bronstein is a Professor & Chair in Machine Learning and Pattern Recognition at the Department of Computing, Imperial College London (since 2018), with a concurrent professorship at the Institute for Computational Science, University of Lugano, Switzerland (since 2010, currently on leave). His academic career includes visiting positions at Stanford University (Visiting Lecturer, 2008-2009), Tel Aviv University (Visiting Associate Professor, 2015-2017), Harvard University (Visiting Scholar, 2017-2018), and MIT (Research Affiliate, 2017-2018). Dr. Bronstein's research focuses on theoretical and computational geometric methods for data analysis, with applications spanning machine learning, computer vision, graphics, geometry processing, biology, and social networks. His work in geometric deep learning has established foundational frameworks for processing non-Euclidean data such as graphs and manifolds, bridging the gap between traditional Euclidean deep learning and complex structured data. His publication record demonstrates a clear trajectory from fundamental geometric methods to their application in diverse domains. Early work focused on 3D shape analysis and non-rigid shape recognition, while more recent publications showcase the application of geometric deep learning to protein structure analysis, point cloud processing, and graph-based machine learning. The consistent thread throughout his research is the development of mathematical frameworks that respect the intrinsic geometry of data. Royal Academy of Engineering Silver Medal (2020) Fellow of IEEE, IAPR, and ELLIS Five ERC grants (Starting 2012, Consolidator 2016, and Proof of Concept 2016, 2018, 2019) Royal Society Wolfson Research Merit Award Young Scientist, World Economic Forum (2014) Bronstein has successfully translated academic research into practical applications through multiple entrepreneurial ventures. As ML Lead for Project CETI and Head of Graph Learning Research at Twitter (since 2019), he bridges academic research with industrial applications. His previous startups include Fabula AI (acquired by Twitter in 2019) and Invision (acquired by Intel in 2012), where he contributed to the development of Intel RealSense 3D camera technology. His research has been supported by significant funding including ERC grants and industry awards from Google, Amazon, and Facebook.

• Information Security
• Semantic Technologies
• Decision Support Systems
• +۴ مورد دیگر

Stefan Fenz is a Senior Scientist at Vienna University of Technology (TU Wien), key researcher at SBA Research, and co-founder of Xylem Technologies GmbH. His academic appointments include positions at TU Wien's Faculty of Informatics, Institute of Information Systems Engineering, where he conducts research on organizational information security, semantic technologies, and decision support systems. He previously served as a member of ENISA's Permanent Stakeholder Group (2012-2015) and as a visiting scholar at Stanford University's Center for Biomedical Informatics Research (2010). Dr. Fenz holds multiple advanced degrees including an MSc in software engineering & internet computing, MSc in business informatics, and PhD in computer science from TU Wien, plus an MSc in political science from University of Vienna. His educational background reflects his interdisciplinary approach that bridges technical and organizational aspects of information systems. His research spans several interconnected domains with primary focus on organizational information security, semantic technologies for decision support, and AI applications in building energy efficiency and agriculture. His work demonstrates consistent integration of semantic web technologies with practical decision support applications across diverse domains. Recent publications show an expansion into AI-driven agricultural optimization while maintaining his foundational work in security ontologies and risk management. His publication record reveals evolving research trajectories from early work on security ontologies (2008-2012) through semantic approaches to building energy efficiency (2012-2018) to current applications of AI in agriculture and building renovation. The consistent thread throughout is the application of semantic technologies and formal modeling to complex decision problems in security, energy, and now agriculture. Dr. Fenz is actively involved in research projects including Innov:ATE Austria's Digital Innovation Hub for Agriculture, Timber and Energy (2021-2024) and ICT for Decision Making in Farming (2017-2021), demonstrating his commitment to practical applications of his research. He has supervised numerous master's theses on topics ranging from cloud security to crop rotation optimization. As a court-sworn expert for IT security, member of IFIP WG 11.1, IEEE Systems, Man, and Cybernetics Society, and ISC², he maintains strong connections between academic research and practical security challenges. His international experience includes lecturing positions at Peking University, Beijing Jiaotong University, Konkuk University, and University of Applied Sciences Technikum Wien (2008-2012).