Janis Lena Meißner is a post-doctoral researcher in the HCI research group at TU Wien, focusing on inclusion in digital transformation processes. She teaches courses including "Computational Aspects of Digital Fabrication" and "Free and Open Technologies," while conducting research that critically examines technology use among non-expert users and marginalized communities. Her educational background includes a doctoral degree in Digital Civics from Open Lab at Newcastle University, an MSc in Media Informatics, and a Bachelor's degree in Media Informatics. Prior to her academic career, she worked in the IT department of an Austrian governmental institution and as a consultant for a software company. Meißner's research centers on productive creative practices of non-expert technology users and their meaning-making processes with digital tools. She has explored sociomaterial practices of "makers-in-the-making," including people with disabilities using 3D printers for empowering hacks, charity workers creating interactive e-textile blankets, and Men Shed organizers combining traditional crafts with digital technologies. Her work challenges the "non-technical" framing of non-expert users and highlights social justice issues in digital transformation. She has particular expertise in participatory and creative research methods, examining how co-design can establish healthy researcher-participant relationships. Her recent publications reveal strong trends in inclusive maker spaces, accessibility for Deaf communities, hidden technological labor in female-dominated professions, and feminist approaches to human-computer interaction. As a co-founding member of fempower.tech, she actively promotes feminist perspectives in HCI. Her work bridges academic research with practical applications in digital inclusion, particularly through projects exploring hidden technological labor of service workers and telemonitoring in healthcare contexts.
جستوجوی استاد و پژوهشگر
استاد راهنما، استاد دانشگاه یا پژوهشگر مناسب برای مسیر پژوهشیتان را پیدا کنید و با او ارتباط بگیرید.
نمایش ۴۶-۶۰ از ۲۰۶ استاد راهنما
اطلاعات این پروفایلها از صفحات عمومی دانشگاهها جمعآوری شده و ممکن است بهروز نباشد.
Alex Biryukov is a full professor in Cryptography and Information Security at the University of Luxembourg, affiliated with the Computer Science and Communications Research Unit (CSC) and the Interdisciplinary Centre for Security, Reliability and Trust (SnT). Previously, he served as an associate professor and visiting professor at K.U.Leuven, contributing to European standards (NESSIE) and ECRYPT consortia. His expertise spans applied cryptography, cryptanalysis, lightweight cryptography for IoT, cryptocurrency security, and privacy technologies like Tor and blockchain. Biryukov has held roles as program chair for FSE'07, SAC'10, and INDOCRYPT'15, and is a program committee member for top conferences including CRYPTO and CCS. He leads the FNR CORE project ACRYPT on lightweight cryptography for IoT and contributes to the COST Action IC1403 on cryptanalysis of ubiquitous systems. His teaching focuses on symmetric cryptography, network security, and real-world applications. Biryukov earned his M.Sc. and Ph.D. from the Technion and completed postdoctoral research at the Weizmann Institute under Adi Shamir. Research interests include cryptanalysis of block ciphers (e.g., AES, SIMON, SPECK), cryptocurrency protocols, and privacy-enhancing technologies. He has pioneered attacks on AES variants and contributed to lightweight algorithms like SPARX and Argon2. Biryukov's work bridges theoretical cryptography with practical implementations, addressing security in embedded systems and blockchain.
Marcelle Kaufman is a Professor at Université libre de Bruxelles (ULB), specializing in computational and systems biology. Her work focuses on modeling biological regulatory networks, particularly in immunology and gene regulation, using deterministic and stochastic approaches. Educational Background: Licence en Chimie (1968), ULB PhD in Sciences (1973), ULB Agrégée de l’Enseignement Supérieur (1996), Belgian National Science Foundation Research Interests: Marcelle investigates the spatial-temporal organization of biological systems, feedback circuits in regulatory networks, and the link between network topology and dynamic behavior. She developed tools for modeling genetic regulatory networks and cell differentiation processes. Scientific Awards: Elected Member, Royal Academy of Sciences, Letters and Fine Arts of Belgium (2005) Adolphe Wetrems Prize (1996) Jean Stas Prize (1973) Academic Contributions: She has directed PhD and master’s theses, co-founded ULB’s Master program in Bioinformatics and Modeling, and contributed to over 100 publications. Her research involves interdisciplinary projects funded at European and national levels.
Kin K. Leung is the Tanaka Chair Professor in the Electrical and Electronic Engineering and Computing Departments at Imperial College London. He serves as the Head of the Communications & Signal Processing Group (2009-2024) and Deputy Director of the University Defence Research Centre in Signal Processing. Previously, he held senior technical roles at AT&T Bell Labs and Lucent Technologies. Education: B.S. from Chinese University of Hong Kong (1980), M.S. and Ph.D. from University of California, Los Angeles (1982, 1985). Research Interests: Focuses on wireless technologies, communication networks, stochastic modeling, machine learning, optimization, and emerging quantum computing applications. His work integrates theoretical frameworks with practical implementations in multi-antenna systems, cross-layer network designs, and distributed quantum architectures. Publication Trends: Recent works (2021-2025) demonstrate a strong focus on quantum computing integration with networking systems, federated learning optimizations for edge devices, and reinforcement learning solutions for resource allocation in wireless environments. Awards and Honors: Fellow of Royal Academy of Engineering (2022) IEEE Fellow (2001) IET Fellow (2021) Royal Society Wolfson Research Merit Award (2004-2009) IEEE Communications Society Leonard G. Abraham Prize (2021) IEEE Best Survey Paper Award (2022) Grants and Leadership: Principal Investigator for EPSRC TITAN/HASC Com Hubs, DCIT Centre, and DQC & App (distributed quantum computing). Leads the Communications & Signal Processing Group and co-directs the School of Convergence Science in Space, Security and Telecoms.
Veljko Milutinovic is a Full Professor at the School of Electrical Engineering, University of Belgrade since 1990. He has also held academic positions at Purdue University (1982-1989) and consulted globally for institutions like IEEE and ACM. Current role: Computer Area Director, teaching VLSI, Data Mining, and E-Business Previous roles: Tenure Track Assistant Professor at Purdue University International collaborations: EU FP7 projects, Raiffeisen Bank, Wall Street Journal His research spans microprocessor architecture , VLSI design , data mining , and semantic web , focusing on energy-efficient architectures and e-business infrastructure. He pioneered DARPA's 200MHz GaAs RISC microprocessor and 4096-node systolic arrays. Recent work trends include: Technical and semantic interoperability in e-government Customer satisfaction accelerators in e-commerce 3D semantic web visualization Data mining for inverse engineering Academic-industry co-design methods Global university collaboration frameworks Scientific awards include: IEEE Life Fellow (2003) Foreign Member, Montenegrin Academy (2018) IPSI Awards (2007-2010) for eGov projects Best Method papers ranked #1 in Google search Supervised PhD students at Purdue, Belgrade, and Valencia Universities, with significant contributions to cache coherence, GaAs processors, and mobile network security. His publications (over 100 SCI papers) have been cited over 4000 times on Google Scholar.
Onur Mutlu is a Full Professor of Computer Science at ETH Zurich (since 2015), with adjunct professor positions at Carnegie Mellon University (since 2016) and Bilkent University (since 2015). His academic career spans prestigious institutions including Carnegie Mellon University where he served as Assistant Professor (2009-2013) and Strecker Early Career Endowed Professor (2013-2016). His research focuses on computer architecture, particularly memory systems, with expertise in: Computer memory systems and DRAM architecture Multi-core processor design Fault tolerance and reliability Hardware/software interactions Systems security related to hardware Emerging memory technologies Dr. Mutlu's work has significantly impacted both academic research and industry practices. His discovery of the RowHammer problem created a new field at the intersection of hardware reliability and systems security. His research on memory controllers, flash memory reliability, and emerging memory technologies has been adopted by major technology companies including Samsung, Intel, IBM, and Microsoft. His numerous scientific awards include the IEEE Computer Society Harry H. Goode Memorial Award (2025), IFIP Jean-Claude Laprie Award (2024), Huawei OlympusMons Award (2023), IEEE Computer Society Edward J. McCluskey Technical Achievement Award (2020), and ACM SIGARCH Maurice Wilkes Award (2019). He is an IEEE Fellow (2018), ACM Fellow (2017), and member of Academia Europaea (2018). Dr. Mutlu has received significant industry recognition with Faculty Awards from Google, Facebook, HP, Huawei, IBM, Intel, Microsoft, NSF, and VMware. His work has earned over 20 Best Paper awards and 12 papers selected for IEEE Micro's Top Picks as some of the most influential papers in computer architecture. He maintains strong industry connections, having worked at Microsoft Research (2006-2009), Intel (multiple summers), AMD (multiple summers), VMware (2016), and Google (2016), enabling direct technology transfer of his research ideas into commercial products.
Camille Schreck is a researcher in Computer Graphics currently holding an Inria Starting Faculty Position (ISFP) at Inria Nancy within the MFX Team. She has been actively contributing to the field of computer graphics with a focus on physics-based simulation and geometric modeling since completing her PhD in 2016. Her educational background includes an engineering degree from ENSIMAG (Grenoble INP) in 2013, followed by a PhD at the University of Grenoble-Alpes supervised by Stefanie Hahmann and Damien Rohmer. Between 2016 and 2020, she conducted postdoctoral research at IST Austria in Chris Wojtan's group. Dr. Schreck's research spans physics-based simulation of natural phenomena, geometric modeling, and computational fabrication techniques. Her work demonstrates particular expertise in simulating deformable materials like paper, water dynamics, and developing novel methods for 3D printing and shape manipulation. She has successfully bridged theoretical computer graphics with practical applications in digital fabrication. Her publication record shows consistent high-impact contributions to top computer graphics venues including SIGGRAPH, Eurographics, and Computer Graphics Forum, with recent work focusing on star-shaped particle simulation, self-shaping 3D printed structures, and efficient mesh processing techniques. The progression of her research demonstrates a clear trajectory from fundamental paper simulation to increasingly complex physical phenomena and fabrication methods. Young Research Fellow of Eurographics France (YFR EGFR) - 2024 Dr. Schreck serves on numerous program committees including SIGGRAPH, Eurographics, and Shape Modeling International. She teaches courses in computer graphics and parallelism at ENSG-GeoRessources and Telecom Nancy, both part of Université de Lorraine. Her teaching spans from 2020 to the current 2024-2025 academic year. As a member of the MFX research team at LORIA (Inria Nancy), she collaborates on advancing the state of the art in physics-based animation and geometric modeling, with her StarDEM project representing a significant contribution to particle simulation methods.
Michael Quellمشاهده پروفایل
پژوهشگر
Michael Quell is a Researcher at the Microelectronics Research Department (E360-01) at TU Wien. His work focuses on numerical methods for semiconductor process simulation, including level-set techniques, hierarchical mesh processing, and high-performance computing. He holds a Dipl.-Ing. (Master's equivalent) and a Dr.techn. (PhD) in technical sciences. His research emphasizes parallel algorithms for material flow simulation, adaptive mesh refinement, and TCAD applications. Education: Dipl.-Ing. and Dr.techn. in Technical Sciences Research interests span computational engineering, numerical analysis, and semiconductor fabrication modeling. Key contributions include shared-memory parallel implementations of the Fast Marching Method, hierarchical re-distancing algorithms, and feature detection for topography simulations. His work often addresses challenges in nanoscale fabrication processes and multi-material wet etching. Collaborations involve projects on parallel mesh adaptation frameworks and quantum transport simulations. He has contributed to advancing computational tools for semiconductor process design and manufacturing optimization.
- Nanomaterials
- Composites
- Materials testing
- +۵ مورد دیگر
Univ. Prof. Helga Lichtenegger is a distinguished faculty member at the University of Natural Resources and Life Sciences, Vienna (BOKU), where she serves as Head of the Institute of Physics and Materials Science and Vice Chair of the Department of Materials Sciences and Process Engineering since 2013. Her academic journey spans prestigious institutions worldwide, including the University of California Santa Barbara and TU Wien. Her research focuses on the intersection of materials science and biological systems, with particular expertise in nanomaterials, biophysics, and ultrastructure analysis. Using advanced synchrotron radiation techniques, her work bridges the gap between biological phenomena and materials engineering, with applications ranging from biomimetic materials to medical implants. Professor Lichtenegger's publication record reveals a strong emphasis on characterizing biological and biomimetic materials at the nanoscale. Her recent work shows a clear trajectory toward biomedical applications of natural materials, particularly spider silk for nerve regeneration and magnesium-based implants for bone healing. She combines materials physics with biological applications through sophisticated imaging techniques, especially synchrotron-based X-ray methods. Hertha-Firnberg-Fellowship (FWF) 2003 Young Investigator Award, Gordon Research Conference on Biomineralization 2002 Erwin-Schrödinger-Fellowship (FWF) 2001 As head of the Institute of Physics and Materials Science, Professor Lichtenegger leads a research team that collaborates extensively with synchrotron facilities worldwide. Her work integrates experimental materials characterization with computational modeling, focusing on the structure-property relationships in both natural and engineered materials. She maintains active collaborations with medical researchers studying bone-implant interfaces and nerve regeneration.
Viktor Krutianskii is affiliated with the University of Innsbruck , working in the Department of Experimental Physics . He is part of the research team focused on quantum networking , particularly with trapped ions and photon entanglement over long distances. His work bridges quantum optics and quantum information science. His research spans multiple subfields, including quantum entanglement , telecom-wavelength compatibility , and nonlinear optical effects . Key trends in his publications highlight advancements in ion-photon interfaces , distributed quantum sensing , and noise-resilient quantum communication . He has contributed to developing quantum repeaters and multiqubit network nodes .
Georg Winterمشاهده پروفایل
پژوهشگر
Georg Winter, PhD, is an Adjunct Principal Investigator at CeMM (Research Center for Molecular Medicine of the Austrian Academy of Sciences) since 2016 and Life Science Director of AITHYRA, a new Research Institute for Biomedical AI (2025). His research bridges chemical biology with oncogenic gene regulation, focusing on targeted protein degradation (TPD) and proximity-inducing pharmacology. Affiliation: CeMM (2016–present), AITHYRA (2025–present) Academic Rank: Researcher (Principal Investigator) Winter's work challenges the paradigm that 80% of human proteins are 'undruggable' by reimagining small-molecule design. His group pioneered molecular glue degraders (MGDs) and heterobifunctional degraders (PROTACs), aiming to program biology beyond evolutionary constraints. Key areas include: Targeted Protein Degradation (TPD) Ubiquitin-Proteasome System Reprogramming Chemoproteomics and Artificial Intelligence Cancer Transcription Regulation DNA Damage Response His recent publications highlight advancements in dual-ligase recruitment, degrader prediction via AI, and Golgi-targeting strategies. Winter has received the Tetrahedron Young Investigator Award , Wilson S. Stone Memorial Award , and Elisabeth Lutz Award , among others. His group is supported by ERC Starting/Consolidator Grants, Cancer Grand Challenge, and the Mark Foundation Aspire Award. Students in his lab include predoctoral researchers exploring transcription rewiring, epigenetic modulation, and proteolytic logic. The lab collaborates with institutions like Dana-Farber Cancer Institute, Harvard Medical School, and the University of Vienna, leveraging CRISPR/Cas9 screens and deep mutational scanning to map proteome interactions at single-amino-acid resolution.
- Edition and literary writing processes
- Archive and cultural memory
- German literature from the 18th to 21st centuries
- +۴ مورد دیگر
Anke Bosse is a Professor at Alpen-Adria-Universität Klagenfurt, holding positions in the Faculty of Cultural and Educational Sciences and the Department of Linguistics and Literature. She leads the Robert Musil Institute for Literary Research and the Carinthian Literary Archive. Her research focuses on literary writing processes, cultural memory, German literature from the 18th to 21st centuries, and intermediality. She has contributed to over 35,000 publications, with recent work spanning robotics, legal commentaries, and educational theory. Her current projects include studies on media literacy and archival practices. Bosse’s work bridges literary analysis with interdisciplinary approaches, emphasizing the intersection of cultural heritage and modern digital methods. Education: Not explicitly listed in the provided text, but inferred through her academic rank and publications. Research Interests: Editions of literary works, archival methodologies, intertextuality, and transnational cultural studies. Her recent articles explore topics like multi-robot systems and legal frameworks for startups, reflecting her interdisciplinary reach. Grants & Projects: Leads projects such as the citizen science initiative #NoFakeFacts! and contributes to legal commentary on tax and corporate law. Active in collaborative research with institutions like the Austrian Research Promotion Agency (FFG). Labs/Teams: Directs the Robert Musil Institute, a hub for literary research and archival work in Carinthia.
Prof. Nikolaus Augsten is a Professor and Head of the Database Research Group at the Department of Computer Science, University of Salzburg. He previously held positions at the Free University of Bozen-Bolzano, Italy, and visited Technische Universität München (TUM) and Washington State University. His research focuses on data-centric applications, approximate matching techniques for complex data structures, and efficient index structures for similarity search. Education: PhD from Aalborg University (Denmark, 2008), supervised by Prof. Michael Böhlen. Master's from Adam Mickiewicz University (Poland). Research interests include hierarchical data similarity (e.g., tree structures), scalable algorithms for tree edit distance, and applications in e-government and XML search engines. His work emphasizes practical solutions for tree-to-tree matching and similarity joins. Selected Awards: ICDE 2010 Best Paper Award for TASM: Top-k Approximate Subtree Matching Advising includes PhD student Mateusz Pawlik (thesis: Efficient Computation of the Tree Edit Distance). His group develops open-source tools like the RTED algorithm and approximate tree matching libraries. Labs/Teams: Database Research Group at University of Salzburg, collaborating on projects like Tree Edit Distance reference implementations and set similarity join algorithms.
Dominik Kowaldمشاهده پروفایل
عضو هیئت علمی
Priv.-Doz. Dr. Dominik Kowald is Research Area Manager of the FAIR AI group at Know Center Research GmbH and Lecturer at Graz University of Technology. His research focuses on transparency, privacy, and fairness aspects of recommender systems, with expertise in differential privacy, popularity bias mitigation, and trustworthy AI evaluation frameworks. He completed his Habilitation in Applied Computer Science in 2024. Research areas include: Differentially-private recommendation algorithms Popularity bias in music recommender systems Long-term fairness dynamics in algorithmic systems Multi-stakeholder recommender evaluation Dr. Kowald has authored over 50 publications and received multiple awards including the Mind-the-Gap Gender and Diversity Award from TU Graz. He serves as Review Editor for Frontiers in Big Data and has secured numerous research grants from FFG and Horizon Europe.
Kathrin Hanauerمشاهده پروفایل
استادیار
- Algorithms
- Graph Theory
- Dynamic Algorithms
- +۴ مورد دیگر
Kathrin Hanauer is an Assistant Professor at the University of Vienna, where she is affiliated with the Research Group Theory and Applications of Algorithms and the Research Network Data Science. She conducts research in the design, analysis, and experimental evaluation of fast algorithms, with a focus on Algorithm Engineering connecting theoretical foundations with practical implementations. Her research interests include: Algorithm Engineering for practical algorithm implementation Dynamic algorithms for efficiently handling changing data Graph algorithms and network analysis Reachability problems on directed graphs Ranking problems, particularly the NP-hard Feedback Arc Set problem Network analysis, motif search, and subgraph counting Dr. Hanauer's recent publications demonstrate a strong focus on dynamic graph algorithms, with significant contributions to reachability queries, subgraph counting, and datacenter network optimization. Her work spans both theoretical algorithm design and practical implementation, often with C++ software projects. Notable contributions include the O'Reach algorithm for faster reachability queries in large graphs and several dynamic algorithms for subgraph counting and network analysis. Her scientific contributions: O'Reach: A novel approach to reachability queries in large graphs that outperforms previous methods Dynamic algorithms for four-vertex subgraph counting with efficient update operations Work on demand-aware link scheduling for reconfigurable datacenters Interdisciplinary research on normative reasoning with Aristotelian diagrams Dr. Hanauer actively supervises student research, with numerous completed theses focusing on dynamic graph algorithms, geometric algorithms, and reachability problems. Her lab maintains several software projects related to graph algorithms, including a modular algorithms library for dynamic graphs written in C++ and specialized implementations for reachability queries and subgraph counting.