جست‌وجوی استاد و پژوهشگر

• Microbial Ecology
• Bacterial Interactions
• Carbon Cycling
• +۳ مورد دیگر

Shaul Pollak is an Assistant Professor at the Division of Microbial Ecology within the Centre for Microbiology and Environmental Systems Science at the University of Vienna. His research focuses on bacterial interactions in ecosystems, particularly their roles in plant pathogen protection and carbon cycling across soil and marine environments. He leads a research group investigating how microbial processes scale from genetic mechanisms to planetary biogeochemical cycles. His primary research interests include microbial community assembly, bacterial metabolism of complex biopolymers, and evolutionary genomics of marine cyanobacteria. Current projects leverage genomic dark matter to predict soil carbon fluxes, examine plant-bacteria interactions under environmental change, and explore the diversity of Prochlorococcus marinus. His interdisciplinary approach integrates genomics, high-throughput experiments, and machine learning to bridge ecological and evolutionary theory. Analysis of his 2022-2025 publications reveals consistent themes in microbial community dynamics, with emphasis on polysaccharide degradation mechanisms, phage-bacteria interactions, and genomic predictors of bacterial metabolic functions. His work demonstrates how bacterial trade-offs and cross-feeding structures shape ecosystem processes from ocean biogeochemistry to human gut microbiome organization. Dr. Pollak actively recruits PhD students and postdoctoral researchers through university stipend programs, with current group members including Thomas Gaehtgens, Gerhard Gruber, Jyothsna Pujar, Qi Qi, Lior Shachar, Marco Sing, and Joana Valèrio. His laboratory maintains active collaborations across soil and marine microbial ecology projects, with research infrastructure supported by University of Vienna resources and external funding.

• Real-Time Systems
• System Architectures
• Communication Protocols
• +۳ مورد دیگر

Roman Obermaisser is a Professor at the Vienna University of Technology (TU Wien), affiliated with the Cyber-Physical Systems department. His research focuses on real-time systems, system architectures, communication protocols, safety-critical systems, distributed algorithms, and fault-tolerance. He holds a PhD in Computer Science from TU Wien, awarded in 2003 for his work on integrated architectures for control paradigms. His academic contributions span over two decades, with publications in top-tier conferences and journals. Key research themes include time-triggered architectures (TTA), fault containment in embedded systems, and integration of heterogeneous communication protocols like CAN and Ethernet. He has supervised numerous graduate students, contributing to advancements in system-on-chip (SoC) design, transient-resilient architectures, and diagnostic frameworks for real-time systems. Obermaisser’s work emphasizes practical applications in automotive and industrial systems, addressing challenges such as scalability, reliability, and composability. His involvement in projects like GENESYS and DECOS highlights his role in developing cross-domain reference architectures for embedded systems. Recent efforts include evaluating ontology-based reconfiguration and COTS-based Ethernet solutions for safety-critical networks. His articles reflect a focus on real-time communication protocols, fault-tolerant design, and system integration, with applications ranging from automotive networks to smart transducers. Advising over 20 students underscores his commitment to nurturing the next generation of embedded systems researchers.

Elio Lo Cascioمشاهده پروفایل

استاد

• Administrative history of the Roman Empire
• Roman monetary history
• Roman economic history
• +۷ مورد دیگر

Elio Lo Cascio is a Professor of Roman History at Sapienza Università di Roma, with a distinguished career spanning multiple universities including Università 'Federico II' di Napoli (1990-2006), Università dell'Aquila (1986-1990), and Università di Lecce (1976-1986). He has served as Dean of the Faculty of Letters at L'Aquila and held visiting positions at the Institute for Advanced Study (Princeton, 1993, 2001), École des Hautes Études en Sciences Sociales (Paris, 2009), and the University of British Columbia (2012). Editor of the series Pragmateiai (Edipuglia) Current roles: Corresponding Fellow of the Pontificia Accademia Romana di Archeologia, member of the Consiglio Direttivo of the Istituto Italiano per la Storia Antica Active in international academic panels, including ERC Advanced Grants (2012) His research focuses on the administrative, economic, and demographic history of Rome from the Republic to Late Empire. Key themes include Romanization, urban elites (especially Pompeii), and historiography of ancient history. His publications analyze census procedures, monetary policies, and population dynamics under the Roman Empire. The articles listed reflect his expertise in Roman economic systems, administrative reforms, and demographic studies. Themes span from Servian reforms to late antique coinage, with methodologies combining textual analysis and quantitative approaches. Notable trends include interdisciplinary applications of economic theory to ancient societies and the impact of population shifts on imperial stability. Scientific Awards & Honors : Mercator Fellow (Gast Professor) at DFG-Graduierten Kolleg (2014) Socio corrispondente della Pontificia Accademia Romana di Archeologia (2009) Member, School of Historical Studies, Institute for Advanced Study (1993, 2001) Directeur d'études invité at EHESS, Paris (2009) Lo Cascio has advised numerous PhD students and participated in over 50 international conferences across Europe, North America, and Iran. He has held editorial and scientific board roles for multiple academic series and journals.

Endre Süliمشاهده پروفایل

استاد

• Numerical Analysis of Partial Differential Equations
• Finite Element Methods
• Computational Modeling of Fracture
• +۴ مورد دیگر

Endre Süli is Professor of Numerical Analysis at the University of Oxford, where he has maintained a distinguished academic career since 1985. He currently serves as Fellow and Tutor in Mathematics at Worcester College and Supernumerary Fellow at Linacre College. His progression at Oxford includes University Lecturer in Numerical Analysis (1985-1996), Reader in Numerical Analysis (1996-1999), and Professor of Numerical Analysis (1999-present). Süli completed his B.Sc. in Mathematics at the University of Belgrade (1974-1978), followed by an M.Sc. in Mathematics (1978-1980). As a British Council Visiting Student, he studied at Reading University and Oxford University in 1983/84, earned his Ph.D. from the University of Belgrade in 1985, and received his M.A. from Oxford University in the same year. Professor Süli's research centers on numerical analysis of nonlinear partial differential equations with applications across multiple scientific domains. His work spans free-discontinuity problems and computational modeling of fracture; finite element methods; Navier-Stokes-Fokker-Planck systems; adaptive algorithms with a-posteriori error control; implicitly constituted material models; and discontinuous finite element methods. His research bridges theoretical mathematics with practical computational approaches for complex physical phenomena. Recent publications (2024-2025) demonstrate Süli's continued leadership in numerical analysis, with focus areas including fractional calculus, stochastic PDEs, and advanced finite element techniques. His work shows strong interdisciplinary connections between mathematical analysis, fluid dynamics, and materials science, addressing challenging problems in polymeric fluids, porous media, and capillary flow modeling. Professor Süli's distinguished career has been recognized with numerous prestigious honors: Invited Speaker at the International Congress of Mathematicians, Madrid (2006) Fellow of the Institute of Mathematics and its Applications (2007) Foreign Member of the Serbian National Academy of Sciences and Arts (2009) Fellow of the European Academy of Sciences (2010) IMA Service Award (2011) SIAM Fellow (2016) Member of the Academia Europaea (2020) London Mathematical Society Naylor Prize and Lectureship (2021) Fellow of the Royal Society (2021) As an educator, Süli has received the Oxford University Teaching Excellence Award (2009) and the Mathematical Institute Teaching Award (2013). He has supervised numerous PhD students and postdoctoral researchers throughout his career, though specific names aren't documented in the available materials. His research has been supported by various grants enabling work on computational methods for partial differential equations. Süli maintains active service to the mathematical community through editorial boards and professional organizations. Professor Süli is affiliated with the Numerical Analysis research group and the Oxford Centre for Nonlinear PDE at the Mathematical Institute. These research centers provide a collaborative environment for theoretical and applied work on partial differential equations. His research often involves interdisciplinary collaborations with physicists, engineers, and computational scientists to develop and analyze numerical methods for complex physical phenomena.

Kuhnle Steinمشاهده پروفایل

استاد

• Comparative Welfare State Development
• Comparative Public Policy
• Political Science
• +۳ مورد دیگر

Stein Kuhnle is a Professor of Comparative Politics at the University of Bergen since 1982 (with a 2006-2008 leave of absence) and concurrently holds a Professorship in Comparative Social Policy at the Hertie School of Governance (on reduced contract since 2009). His expertise spans comparative welfare state development, public policy, political science, and political sociology. He has held prestigious fellowships at institutions such as the European University Institute and Brookings Institution. His research focuses on welfare state trajectories in Scandinavia, Europe, and East Asia, emphasizing normative foundations and policy design. Notable contributions include analyses of pension systems, social security institutionalization, and cross-national welfare comparisons. Education: Doctorate in Comparative Politics (not explicitly listed but implied by his career trajectory). Awards: Elected to the Royal Norwegian Society of Sciences (2011), Norwegian Academy of Science and Letters (2004), and honored by Slovenian and Chinese academic institutions. Grants/Advising: Directed Norway’s Welfare State Research Programme (1988-1994) and advised on social policy in South Africa and Korea. His work bridges theory and practice, addressing global welfare challenges through interdisciplinary lenses.

Thomas Reinthalerمشاهده پروفایل

پژوهشگر

• Microbial Ecology
• Prokaryotic Respiration
• Carbon Cycling
• +۷ مورد دیگر

Thomas Reinthaler is a researcher at the Faculty of Life Sciences, Department of Functional and Evolutionary Ecology, specializing in microbial oceanography and biogeochemical processes. His work investigates the role of prokaryotic organisms in marine carbon cycling, the influence of environmental factors like temperature and UV irradiation on microbial activity, and metabolic adaptations in deep-sea environments under in situ pressure conditions. Research Interests Reinthaler's research spans microbial ecology, biogeochemistry, and oceanography. Key areas include dark ocean carbon cycling, anaplerotic carbon fixation, hydrostatic pressure effects on microbial communities, and the interplay between prokaryotic gene expression and environmental stressors like UV radiation. His work also addresses microbial contributions to the biological pump and nutrient recycling in mesopelagic zones. Publication Trends Recent publications highlight metaproteomic analyses of dark ocean trophic interactions, sulfur cycling dynamics, and antibiotic-resistant bacteria in coastal systems. He has advanced methodologies for in situ pressure experiments and contributed to resolving paradoxes in carbon budget calculations through studies on heterotrophic autotrophy and microbial substrate utilization patterns. Projects and Activities BASS Project : Biochemical processes and air-sea exchange in the sea surface microlayer (active 2022–2025). Prokaryoten Project : Funded research on prokaryotic activity in the North Atlantic (2011–2016). Organized the 2024 Symposium on Microbial Oceanography and presented at the ECOTIP Photoexhibit (2024).

• Artificial Intelligence
• Nonmonotonic Reasoning
• Argumentation Frameworks
• +۴ مورد دیگر

Stefan Woltran is a Full Professor in the Databases and Artificial Intelligence department at TU Wien. He serves as Vice Dean of Academic Affairs for the Informatics Master program and leads the Research Unit for Databases and Artificial Intelligence. His research focuses on logic-based AI, including Propositional Logic, Nonmonotonic Reasoning, Argumentation frameworks, Knowledge Representation, and Logic Programming. He coordinates the Double-Degree Program Logic and Computation. His research projects include analyzing formal properties of logic-based AI approaches, complexity analysis, and developing algorithms via logic and dynamic programming. Notable projects include the HYPAR and REVEAL-AI initiatives exploring abstract argumentation and AI problem-solving. He has contributed to over 150 publications since 2001, focusing on argumentation frameworks, computational complexity, and formal methods. Woltran teaches courses such as Abstract Argumentation, Formal Methods in Computer Science, and Theoretical Computer Science. His work integrates theoretical advancements with practical solver development, such as the ASPARTIX system for argumentation tasks. He actively participates in international conferences and competitions in computational argumentation, emphasizing the application of formal methods to real-world problems.

Elisa Riedoمشاهده پروفایل

استاد

• Experimental nanoscience
• Graphene
• Diamene and 2D materials
• +۱۱ مورد دیگر

Elisa Riedo is a tenured Professor of Chemical and Biomolecular Engineering at New York University (NYU) Tandon School of Engineering, with joint appointments as Professor of Physics in NYU’s College of Arts and Science and as affiliated Professor of Mechanical Engineering at Tandon. She serves as Director of Faculty Development at NYU Tandon and has held prior tenured positions at Georgia Tech (2003–2015) and CUNY ASRC (2015–2018). Her academic career spans over two decades, with a Ph.D. in Physics from the University of Milano (2000) and postdoctoral work at EPFL. Her research focuses on nanotechnology , graphene and 2D materials , and thermal scanning probe lithography (tSPL) , with applications in biomedical diagnostics quantum electronics electromagnetic interference shielding mechanical reinforcement of materials She pioneered tSPL for sustainable nanofabrication and discovered diamene—a single-layer diamond structure from graphene under pressure. Her recent work involves transparent infrared electrodes using silver nanowires (2025) and self-organized graphene stacking domains for quantum technologies (2024). She has secured major grants from National Science Foundation , Department of Defense , and Army Research Office . Scientific honors include: 2023 NYU Tandon Excellence in Research Award 2013 American Physical Society Fellow 2005 CREA Innovation Award Membership in the Academy of Europe (2023) She contributes to editorial boards for journals like 2D Materials and Applications and advises companies such as Mirimus Inc. and SwissLitho AG .

Thierry Langerمشاهده پروفایل

استاد

• Computer-Aided Molecular Design
• Pharmacophore Modeling
• Drug Discovery
• +۷ مورد دیگر

Professor Thierry Langer is a Full Professor of Pharmaceutical Chemistry at the University of Vienna’s Faculty of Life Sciences (Department of Pharmaceutical Sciences). He leads research in computational drug design, with a focus on pharmacophore modeling, 3D-QSAR analysis, and AI-driven molecular design. His work bridges theoretical and experimental chemistry, addressing targets like viral proteases (e.g., SARS-CoV-2), GABA receptors, and dopamine transporters. Research interests include: Pharmacophore-guided drug discovery for anti-viral and CNS therapies Development of next-generation computational tools (e.g., PharmacoMatch, QPhAR) Protein-ligand interaction modeling using neural networks and graph-based algorithms Recent studies focus on: Inhibitors for herpesvirus nuclear egress complexes, AI-optimized antivirals, and dopamine transporter inhibitors for cognitive enhancement. His lab collaborates on projects like the NeuroDeRisk initiative to de-risk neurotoxic compounds. Publications emphasize drug repurposing, metabolic pathway analysis, and scalable synthesis methods for promising drug candidates.

Peter Zollerمشاهده پروفایل

استاد

• Theoretical Physics
• Quantum Optics
• Many-Body Quantum Physics
• +۳ مورد دیگر

Peter Zoller is a Professor of theoretical physics at the University of Innsbruck and Scientific Director at IQOQI Innsbruck (Austrian Academy of Sciences). His research focuses on quantum optics, many-body quantum physics, and quantum information science, with a strong emphasis on quantum simulation of gauge theories and atomic systems. He has trained 34 PhD students and hosted 57 postdoctoral researchers, fostering collaborations between theory and experiment. His group, the Zoller Group, explores quantum phenomena such as lattice gauge theories, entanglement dynamics, and topological order using advanced quantum simulation techniques. Key research interests include atomic physics, quantum gases, and applications of quantum technologies to high-energy physics problems. Recent work addresses string breaking in quantum simulators, entanglement Hamiltonians, and scalable architectures for fermionic quantum processors. Collaborations span institutions like Harvard, MIT, and the University of Innsbruck’s experimental teams. His contributions bridge foundational physics with cutting-edge quantum technologies, aiming to solve problems inaccessible to classical methods.

• Probability Theory
• Statistical Mechanics
• Random Walks
• +۳ مورد دیگر

Dr. Quirin Thomas Simon Vogel is a Senior Lecturer at the Department of Statistics, University of Klagenfurt. He previously held postdoctoral positions at the Technical University of Munich, New York University Shanghai, and served as an Interim Professor at Ludwig-Maximilians University of Munich. His research bridges probability theory with statistical mechanics and algorithmic applications. Current role: Senior Lecturer (2025) Previous roles: Postdoc (TUM, NYU Shanghai), Interim Professor (LMU Munich) His research focuses on: Random walks and their geometric/stochastic properties Randomized algorithms with applications in statistical models Quantum-inspired probabilistic systems (e.g. interacting bosonic loop soups) Large deviation theory for complex systems Percolation and phase transitions in particle models The articles reflect trends in probability theory, mathematical physics, and algorithmic applications. Key topics include high-dimensional percolation, Bose gas models, neural network theory, and stochastic geometry. The work combines rigorous mathematical analysis with interdisciplinary applications in physics and computer science. Scientific awards and functions cannot be determined from the provided data, as they describe other researchers. The department's research activities include projects on statistical learning, quantum models, and algorithmic probability, though Vogel's direct involvement in these specific funded projects isn't explicitly stated.

Giovanni De Micheliمشاهده پروفایل

استاد

• Computer Architecture
• Electrical Engineering
• Integrated Systems
• +۵ مورد دیگر

Giovanni De Micheli is a Professor of Electrical Engineering and Computer Science at EPF Lausanne, Switzerland. He also serves as Director of the Integrated Systems Centre and the Institute of Electrical Engineering at EPFL, and chairs the Scientific Committee of CSEM in Neuchatel. Previously, he held academic roles at Stanford University for 18 years, including Full Professor, Associate Professor, and Assistant Professor in the Department of Electrical Engineering. His research spans synthesis of digital circuits, hardware/software co-design, low-power design, and Networks on Chip (NoC) technology. 2003: IEEE Emanuel Piore Award 2000: Golden Jubilee Medal of the IEEE CAS Society 2000: ACM Fellow 1994: IEEE Fellow 1990: IEEE/CS Distinguished Service Award 1988: NSF Presidential Young Investigator Award His seminal contributions include pioneering C-based synthesis and Boolean matching algorithms for digital circuits, foundational work in dynamic power management using stochastic control, and the development of Network-on-Chip (NoC) technology. His publications, such as "Networks on Chips: A New SoC Paradigm" and "Dynamic Power Management for Portable Systems" , have shaped modern SoC design practices. With over 400 technical articles, 9 books, and an H-index of 56, his work remains highly influential.

Marc Pollefeysمشاهده پروفایل

استاد

• 3D Computer Vision
• Robotics
• Machine Learning
• +۵ مورد دیگر

Marc Pollefeys is a Full Professor of Computer Science at ETH Zurich and Director of the Microsoft Mixed Reality and AI Zurich Lab. He has held roles such as Visiting Professor at Stanford University (2007) and Assistant/Associate Professor at UNC-Chapel Hill (2002–2009). His research focuses on 3D computer vision, robotics, machine learning, and augmented reality. Education: PhD in Computer Science from KU Leuven (1999), followed by postdoctoral research there until 2002. He transitioned to academic roles at UNC-Chapel Hill before joining ETH Zurich in 2007. Research interests include 3D reconstruction, visual localization, SLAM, and applications in archaeology, urban modeling, and robotics. Notable projects include real-time 3D scanning, city-scale reconstruction, and autonomous vision-based drones. Key awards include ACM Fellow (2022), IEEE Fellow (2012), and ERC Starting Grant (2008). He advises numerous PhD students and collaborates with institutions like Google and Microsoft. Labs and teams: Leads the Computer Vision and Geometry (CVG) lab at ETH Zurich and directs the Microsoft Mixed Reality and AI Lab. His work bridges academia and industry, focusing on perception for mixed reality and autonomous systems.

David Newberyمشاهده پروفایل

استاد

• Electricity Policy Research
• Market Design and Behaviour
• Transmission Access Pricing
• +۷ مورد دیگر

David Newbery serves as Professor of Applied Economics at the University of Cambridge's Faculty of Economics since 1988 and Research Director of the Electricity Policy Research Group (EPRG). His career spans prestigious appointments including Visiting Professorships at Stanford, Princeton, UC Berkeley, and Imperial College London, alongside significant policy roles at the World Bank and IMF. His research focuses on electricity market design , climate policy economics , and transport pricing , addressing critical challenges in energy transition and regulatory frameworks. Key contributions include foundational work on supply function equilibria, market power assessment in liberalized utilities, and optimal climate policy instruments. Analysis of his publications reveals consistent leadership in energy market restructuring (1990s-2000s) renewables integration economics (2000s-2010s) climate policy-market power interactions (2000s-present) with methodological strengths in game theory and empirical industrial organization. Major recognitions include: CBE (2012 Birthday Honours) Frisch Medal (1990) Fellowships of Econometric Society and British Academy IAEE Outstanding Contributions Award (2003) Honorary Degree from University of Antwerp (2004) Newbery's policy impact extends through World Bank advisory roles (1981-83 as Division Chief of Public Economics), IMF consultations (1987), and sustained engagement with European energy regulators via EPRG. His work informs critical infrastructure pricing frameworks globally, particularly in electricity and transport sectors. He leads the Electricity Policy Research Group at Cambridge, fostering interdisciplinary collaboration between economists, engineers, and policy experts to address energy transition challenges through rigorous market design analysis.

• Biomechanics
• Rehabilitation Engineering
• Digital Health
• +۴ مورد دیگر

Brian Horsak is a Professor and Head of the Center for Digital Health and Social Innovation at Fachhochschule Steyr. He holds an endowed professorship in Applied Biomechanics and Rehabilitation Research, focusing on integrating advanced technologies like VR/AR, machine learning, and wearable devices into clinical gait analysis and motor rehabilitation. His roles include leading the Institute of Health Sciences and contributing to the Department of Health Sciences and Media and Digital Technologies. Education: Dr. rer. nat. (2012, University of Vienna), Habilitation in Kinesiology (2020, University of Vienna), Master's in Sports Science (2002–2008, University of Vienna). Research interests revolve around improving patient care through biomechanical innovations, including musculoskeletal simulations, gait pattern analysis, and rehabilitation technologies. He leads projects like ReMoCap-Lab (motion capture for motor rehabilitation) and chairs the Applied Biomechanics in Rehabilitation Research initiative. Key achievements include the Lower Austria Innovation Prize (2021), multiple best paper awards, and grants for projects like TRUST AI and VReeze. His work bridges clinical practice with digital health solutions, emphasizing explainable AI (XAI) in gait classification and VR-based balance training. Notable contributions include developing the GaitRec dataset and studies on smartphone-based motion capture reliability. He collaborates internationally, publishing widely in Gait & Posture , Scientific Reports , and IEEE journals. Current projects focus on AI-driven gait analysis, musculoskeletal modeling, and XR applications in healthcare.