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Todd A. EhlersView profile

Professor

• Biotic controls on topography
• Climate, tectonic, and surface process interactions with topography
• Earth surface processes
• +4 more

Todd A. Ehlers is Professor of Geology and Department Chair at the University of Tübingen's Department of Geosciences, leading research on earth surface dynamics since 2009. Previously, he served as Assistant and Associate Professor at the University of Michigan (2003-2009) and held a postdoctoral fellowship at Caltech (2001-2002). His educational background includes: PhD in Geology and Geophysics, University of Utah (2001) Professor Ehlers' research integrates atmospheric circulation models, dynamic vegetation simulations, and landscape evolution frameworks to investigate climate-tectonics-biota-topography couplings. His methodology combines thermochronology, isotope geochemistry, and structural geology data with high-performance computing to quantify processes shaping mountain belts over million-year timescales. Key foci include glacial erosion mechanisms, biotic influences on relief development, and paleoclimate reconstruction in orogenic systems like the Andes and Himalaya-Tibet. His scientific recognition includes: Ralph Alger Bagnold Medal (EGU, 2018) ERC Consolidator Award (2014) Golden Hammer teaching award (Tübingen, 2014/2016) Fellowship in the Geological Society of America (2009) He directs major collaborative initiatives including two European research programs exceeding €12 million in funding and a German Research Foundation priority program. His editorial leadership spans over a decade with top earth science journals, and he contributed to the US National Academy of Sciences report on earth surface processes. The Earth System Dynamics research group he chairs comprises approximately 40 researchers, staff, and students advancing computational geoscience at the University of Tübingen.

Oskar MencerView profile

Professor

• Numerical methods and simulations
• Imaging
• Discretization of space, time and value
• +7 more

Oskar Mencer is a Professor in the Department of Computing at Imperial College London , where he has been a member of academic staff since 2000. He was also a Consulting Professor at Center for Computational Earth and Environmental Science , Stanford University (2009-2010). His research focuses on Multiscale Dataflow Computing , exploring the interaction of hardware and software systems through domain-specific representations, parallel programming, VLSI design, and compiler methodologies. He has contributed to fields including high-performance computing, FPGA optimization, and computational finance. Dr. Mencer's work has been recognized with a Special Award from Com.sult (2012), Imperial College Research Excellence Award (2007), and a Top EPSRC Advanced Fellowship (2001). He has received multiple best paper awards, including at ICFPT'08 and ASAP 2008, and his 2000 paper on stream architectures was recognized as historically significant in 2015. His publications demonstrate a strong emphasis on FPGA acceleration , custom architectures , and parallel processing across geophysics, finance, and neuroscience applications. Special Award for Dataflow Innovation (2012) Best Paper Award - ICFPT'08 Best Paper Award - ASAP 2008 He has served on technical committees for conferences such as FPL , DATE , and FPT , and leads the Computer Architecture Research Group (currently inactive).

Alexandru NicolauView profile

Professor

• Parallelizing compilers
• Supercomputing
• High Performance Computing (HPC)
• +5 more

Alexandru Nicolau is a Distinguished Professor and Chair of the Department of Computer Science at the University of California, Irvine (USA), where he has worked since 1992. He previously held positions as Associate Professor (1988–1992) and Assistant Professor (1984–1988) at UC Irvine and Cornell University, respectively. Education : B.A., Brandeis University (1980) MS (1981), Ph.D. (1984), Yale University Research Interests : A leading expert in parallelizing compilers , high-performance computing , and software-hardware co-design , Nicolau pioneered foundational techniques like Percolation Scheduling and Optimal Loop Parallelization . His work enables efficient exploitation of instruction-level parallelism in general-purpose programs, with applications in embedded systems , matrix algorithms , and GPU-based neural networks . He has also contributed to Electronic Design Automation (EDA) and lightweight synchronization protocols . Scientific Awards : IEEE Fellow (2014) ACM SIGPLAN Most Influential Paper (PLDI 20 years) EDAA/IEEE/ACM DATE Most Influential Paper (10 years) ACM ICS Most Influential Paper (25 years) 4 Best Paper awards (VLSI design 2003, ISHPC 2005, CASES 2008, IJCNN 2009) Advising & Grants : He has mentored notable scholars now at Stanford, McGill, and Google, and secured over $20M in funding from NSF , DARPA , and industry leaders like IBM and Intel . His professional service includes chairing ACM ICS’09 and PPOPP’13, and serving on steering committees for LCPC and ICS. Labs & Collaborations : His techniques have been adopted by IBM Watson, Siemens Munich, Fujitsu Labs Japan, and the open-source GCC compiler.

• Medical Imaging
• MRI Reconstruction
• Real-Time MRI
• +4 more

Martin Uecker is a Professor at the Institute of Biomedical Imaging at TU Graz. His research focuses on advanced MRI reconstruction techniques, real-time imaging, and open-source software tools like the Berkeley Advanced Reconstruction Toolbox (BART). He specializes in developing methods for fast and accurate medical imaging, including applications in cardiac MRI, fetal brain imaging, and disease monitoring. His work emphasizes reproducibility, quantitative imaging, and clinical translation. Key research areas include generative models for MRI reconstruction, model-based inversion of the Bloch equations, and interactive real-time MRI systems. His team collaborates on projects involving hardware-software integration, such as portable MRI scanners and MRI-guided interventions. Notable contributions include advancements in multi-echo radial FLASH techniques, motion-resolved T1 mapping, and Bayesian uncertainty estimation in imaging. Uecker’s publications highlight innovations in accelerating MRI acquisition and reconstruction, with applications in pulmonary function assessment, neonatal imaging, and cardiovascular diagnostics. His work bridges theoretical physics, computational methods, and clinical practice, fostering open-source frameworks to democratize access to cutting-edge imaging tools.

Geoffrey David PriceView profile

Professor

• Mineral Physics
• Ab Initio Molecular Dynamics
• Core-Mantle Geophysics
• +3 more

Geoffrey David Price is a renowned academic and administrator currently serving as Vice-Provost for Research at University College London (UCL). He has held multiple leadership roles at UCL, including Executive Dean of the Faculty of Mathematical and Physical Sciences and Head of the Department of Earth Sciences. His academic career spans institutions such as the University of Cambridge, University of Chicago, and Birkbeck College. Education: PhD (University of Cambridge, 1981), BA (Clare College, 1977), MA (University of Cambridge, 1981). Research Interests: Price specializes in mineral physics and computational simulation, with a focus on the Earth's core and mantle dynamics. His work bridges quantum mechanical calculations with geophysical phenomena, including the thermal structure of the Earth and grain boundary behavior in rock-forming minerals. Scientific Awards: 2006: Louis Néel Medal (European Geosciences Union). 2005: Fellow of the American Geophysical Union. 2002: Murchison Medal (Geological Society of London). 2000: Academia Europaea member. 1999: Schlumberger Medal (Mineralogical Society of GB and Ireland). Grants and Leadership: He has secured significant funding from bodies like NERC, EPSRC, and the Royal Society, including a £1,080,000 NERC grant for high-performance computing in mineral physics. His administrative roles include organizing international symposia and serving on editorial boards like "Earth and Planetary Science Letters."

Hans-Peter SeidelView profile

Professor

• Computer Graphics
• 3D Image Analysis
• Digital Geometry Processing
• +3 more

Hans-Peter Seidel is a leading academic in computer graphics, serving as Director of the Max Planck Institute for Informatics and Full Professor at Saarland University since 1999. Previously held roles include Full Professor at University of Erlangen (1992–1999) and Assistant Professor at University of Waterloo (1989–1992). Holds a PhD in Mathematics (1987) and Habilitation in Informatics (1989) from University of Tübingen. Research focuses on 3D image analysis, digital geometry processing, visual computing, and free viewpoint rendering. Key achievements include pioneering work in surface editing, motion capture, and multi-view video processing. Has organized major conferences like Eurographics and SIGGRAPH, serving as editor for journals including IEEE TVCG and Computer Aided Geometric Design. Recipient of the Eurographics Distinguished Career Award (2012), Gottfried Wilhelm Leibniz Prize (2003), and numerous fellowships. Led initiatives such as the Cluster of Excellence on Multimodal Computing and Interaction (M2CI) and the Max Planck Center for Visual Computing and Communication (MPC-VCC). Active in academic leadership roles including Eurographics Chair and DFG committees. Publications span over 30 SIGGRAPH and 50 Eurographics contributions, with an h-index of 62 and 14,000+ citations. Recognized as a top-cited researcher in computer graphics. Current research explores advanced visualization techniques and geometric modeling innovations.

Marcus HilbrichView profile

Professor

• Distributed Systems
• Software Engineering
• Cloud Computing
• +5 more

Marcus Hilbrich is a Professor in Computer Science with extensive academic experience across multiple institutions. His primary affiliation is Chemnitz University of Technology, where he held roles including Assistant Professor, Acting Professor of Software Engineering, and Research Assistant. He also served as Scientific Coordinator at Humboldt University of Berlin (SFB 1404 FONDA) from 2022–2024. Education: He earned a Doctor of Engineering (Dr.-Ing.) from Dresden University of Technology in 2015, focusing on job/user-centric monitoring in distributed environments. His diploma thesis (2008) explored performance analysis of parallel simulations using the SUN Niagara II architecture. Research Interests: Hilbrich specializes in distributed systems, software engineering, cloud computing, and workflow management. He investigates microservices architecture, resilience engineering, and scalable monitoring techniques. His work bridges theoretical foundations (e.g., formal methods for workflows) with practical applications in HPC and data analysis. Publications: He has authored/co-authored over 15 peer-reviewed articles, including key contributions on ßMACH software management guidance, validity constraints in data workflows, and microservices design patterns. His research often addresses interdisciplinary challenges in computational systems and software lifecycle management. Projects: Active involvement in third-party funded projects like SFC (Cloud Computing for Secure Financial Transactions), ECOUSS (parallel simulations), and WisNetGrid (knowledge networks in grids). His work often integrates performance analysis and system scalability. Labs/Teams: Central to his work is the SFB 1404 FONDA collaborative research center, focusing on foundational aspects of distributed heterogeneous environments.

Ramin HasaniView profile

Researcher

• Machine Learning
• Robotics
• Neural Networks
• +3 more

Ramin Hasani is a researcher at TU Wien's Cyber-Physical Systems department. He holds a Dr.techn. (Doctor of Engineering) and specializes in machine learning applications for robotics, control systems, and biologically-inspired neural networks. His work focuses on developing interpretable neural architectures like Liquid Time-Constant Networks and Neural Circuit Policies, emphasizing safety and stability in autonomous systems. Hasani's research bridges neural network theory with practical robotics challenges, including autonomous racing, medical data analysis, and adversarial robustness. Key research areas include continuous-time neural networks, formal verification of neural ODEs, and bio-inspired control mechanisms derived from biological neural circuits (e.g., Caenorhabditis elegans). He collaborates extensively with institutions like MIT and ETH Zurich, contributing to projects in health-monitoring systems and end-to-end robot learning frameworks. His publications consistently address real-world challenges such as sepsis prediction via reinforcement learning and robust CNN architectures for image classification. Recent work highlights include developing stable recurrent networks through Gershgorin loss functions and advancing zero-shot transfer learning for autonomous systems. Hasani's interdisciplinary approach integrates principles from neuroscience, control theory, and machine learning to create auditable, high-performance AI solutions for cyber-physical environments.

Christian FibichView profile

Researcher

• Fault-Tolerant FPGA Design
• Reliability Analysis of SRAM-Based FPGAs
• High-Level Synthesis

Christian Fibich is a Researcher and Lecturer at the Department of Electronic Engineering, University of Applied Sciences Technikum Wien, Austria. He leads the Research Group Embedded Systems, focusing on FPGA reliability and high-level synthesis. His roles include project management for R&D initiatives like VECS (2013-2018), INES (2018-2023), and the 2024 Drohnentechnik integration project. Fibich holds an MSc in Embedded Systems from Technikum Wien and has been active in the field since 2010. Research interests include fault-tolerant FPGA design, reliability analysis of SRAM-based FPGAs, and high-level synthesis optimization. His work emphasizes practical applications of open-source tools and automated design exploration. Recent projects explore temperature-dependent fault effects and drone integration in academic programs. Publications span FPGA reliability, fault injection methods, and embedded systems design, with a focus on open-source IP cores and hardware security. His contributions include Fiji (a fault injection tool) and HLShield (a reliability framework for HLS).

Michael KerberView profile

Professor

• Computational Topology
• Algebraic Topology
• Computational Geometry
• +4 more

Michael Kerber is a Professor at Graz University of Technology, Institute of Geometry, specializing in computational topology and geometry. His research bridges mathematical theory with applications in data analysis, focusing on persistent homology and geometric algorithms. PhD from Max Planck Institute for Informatics (2009) Postdoc positions: Max Planck Institute, Stanford University, IST Austria His work centers on designing efficient algorithms for topological data analysis, particularly: Persistent Homology 2-Parameter Persistence Geometric Filtrations Algebraic Curve Analysis High-Dimensional Sphere Packing Recent publications emphasize: Improved Delaunay bifiltration methods NP-hardness of interleaving distance computation Sparse Čech filtrations for big data Integration with graph neural networks He has co-developed key software tools: PHAT DIPHA HERA SOPHIA

• Structural Engineering
• Timber Construction
• Circular Construction
• +9 more

Sara Reichenbach is a researcher and Deputy Institute Director at the Institute of Building Construction, Timber Construction and Circular Construction, Department of Landscape, Water and Infrastructure, University of Natural Resources and Life Sciences, Vienna (BOKU). She holds a Dr.techn. and Dipl.-Ing. in civil engineering from TU Wien and has held postdoctoral positions at both TU Wien and BOKU. Her work bridges structural engineering, sustainable construction, and digital fabrication. Research Interests: Her research focuses on resource-efficient building construction, particularly in concrete and timber systems. She investigates topology optimization, life cycle analysis (LCA), additive manufacturing of bio-based materials, FRP reinforcement, and the development of reusable, circular building components. Her work aims to reduce environmental impacts while enhancing structural performance and economic viability in prefabricated construction. Publication Trends: Her recent publications reflect a strong trend toward sustainable and digital construction, emphasizing 3D printing of recyclable walls (3DP BIOWALLS), topology-optimized concrete elements, and the use of renewable and FRP materials. The integration of automation, robotics, and computational design is a recurring theme, aligning with Industry 4.0 principles in construction. Scientific Awards: FSV-Preis für Diplomarbeit (2013): For her thesis on load testing of existing prestressed concrete bridge girders to assess shear capacity. Advising and Grants: She supervises master's theses on topics such as life cycle assessment of 3DP Biowalls and automated production strategies. She is actively involved in research projects funded by FFG and EU sources, including the 'Additive manufacturing of fully-recyclable wall systems made from renewable materials' project led by Benjamin Kromoser. She also serves as a reviewer for journals like Applied Sciences and Scientific Reports , and as an expert in the ÖBV working group on non-metallic reinforcement. Labs and Teams: She is part of the research team at the Institute of Building Construction, Timber Construction and Circular Construction at BOKU, collaborating closely with Prof. Benjamin Kromoser. The team operates in a multidisciplinary environment focusing on innovative construction technologies, with access to advanced digital fabrication and structural testing facilities.

• Music History
• Viennese Modernism
• Arnold Schönberg Studies
• +3 more

Nora Marie Katalin Sprenger serves as a Lecturer at the Institute of Musicology, University of Vienna, where she contributes to academic instruction and research within the musicological discipline. Her position falls under the institute's private lecturers category, indicating an active teaching and research role within the university structure. Her research specialization centers on: Historical Musicology with emphasis on Viennese Modernism Arnold Schönberg and the Second Viennese School Gustav Mahler's compositional legacy Interdisciplinary studies of musician family networks Digital humanities applications in music history Manuscript studies and edition projects Sprenger participates in multiple high-impact research initiatives including GOING VIRAL (examining viral transmission of musical works), A World Within a Room? (spatial analysis of historical performance contexts), and the New Senfl Edition (critical reconstruction of early Renaissance repertoire). Her scholarly approach integrates traditional musicological methods with digital tools to explore performer-commissioner relationships and historical dissemination patterns. She actively supports the Master's degree program in Musicology, particularly its updated curriculum effective winter semester 2025, which emphasizes scientific methodology and thesis development. While specific awards and publications aren't detailed in available materials, her work aligns with the institute's strategic focus on advancing historical music research through both archival and computational frameworks.

• Musical Acoustics
• Physical Modeling of Musical Instruments
• Wind Instrument Aerodynamics
• +4 more

Professor Vasileios Chatziioannou serves as Faculty Member and PhD Supervisor within the Department of Music Acoustics at the University of Music and Performing Arts Vienna. His academic leadership spans the Faculty of Music, where he guides doctoral candidates through the Structured Doctoral Program Performing Matters. His institutional role encompasses supervision across Ethnomusicology, Music in Society, and Musicology programs. His research focuses on the physics of musical instruments, with particular expertise in wind instrument aerodynamics and string-bow interaction mechanics. He employs advanced experimental techniques including particle image velocimetry (PIV) and high-speed motion capture alongside computational modeling. His work bridges theoretical acoustics with practical instrument design considerations, examining phenomena from tone hole geometry effects to friction dynamics in bowed strings. Analysis of his recent publications reveals a strong emphasis on energy-stable numerical methods for real-time simulation of musical instrument physics. His work consistently addresses the challenge of balancing computational efficiency with physical accuracy, particularly in modeling nonlinear phenomena like stick-slip friction and collision dynamics. The research trajectory shows increasing integration of experimental validation with computational models. While no specific scientific awards are documented in the provided materials, his sustained publication record in high-impact acoustics journals demonstrates significant scholarly contribution. His work regularly appears in specialized forums like the Journal of the Acoustical Society of America, particularly within special issues on musical instrument modeling. Professor Chatziioannou's supervision activities focus on computational and experimental approaches to musical instrument physics. His research program involves interdisciplinary collaboration between acousticians, instrument makers, and performers. Current projects include robotic replication of bowing techniques and 3D-printed instrument component optimization, reflecting his commitment to translating theoretical findings into practical applications for musicians and instrument designers.

• Hydrogen Energy
• Combustion Engineering
• Computational Fluid Dynamics
• +4 more

Fabian Weidinger is a researcher affiliated with the University of Applied Sciences Wels , contributing to the ASiC Center of Excellence and Energy Center of Excellence for Smart Production. His work focuses on hydrogen combustion technologies, nitrogen oxide emissions, and thermal processes. Projects: HyBRID – Teil1 (Soft) (2023–2025), focusing on high-pressure hydrogen and reinforced plastic systems Collaborations: Involved with H2-Researchcenter and multiple co-investigators (Plank, Zettl, Aichinger, & Hochenauer) Weidinger’s research spans hydrogen energy , combustion engineering , and environmental impact analysis . His recent projects explore optimal performance in hydrogen applications, including flamelet modeling , boiler systems , and excess air control . Using computational fluid dynamics and experimental investigation , he analyzes full-scale systems for sustainable energy solutions. Weidinger has presented at conferences (e.g., 2024 oral presentation on hydrogen research trends) and published in International Journal of Hydrogen Energy . His work emphasizes reducing emissions in hydrogen-based combustion systems and advancing smart production via hydrogen integration.

Pingali KeshavView profile

Professor

• Programming Languages
• Parallel Computing
• High-Performance Computing
• +4 more

Dr. Keshav Pingali is the W.A. 'Tex' Moncrief Chair of Computing and Professor of Computer Science at The University of Texas at Austin, where he also directs the Center for Grid and Distributed Computing at the Oden Institute. Previously, he held the India Chair of Computer Science at Cornell University (2003–2006) and served as a professor in Computer Science and Electrical Engineering at Cornell (1999–2006). He completed his B.Tech. at IIT Kanpur (1978), followed by S.M., E.E., and Sc.D. degrees from MIT (1983, 1986). Research Interests: Focuses on programming languages, compilers, and runtime systems for parallel computing, with emphasis on optimizing irregular applications in domains like graphics and data mining. His work addresses challenges in high-performance computing and multicore processor programming methodologies. Awards & Honors: ACM SIGPLAN Programming Languages Achievement Award (2024) ACM/IEEE CS Ken Kennedy Award (2023) IEEE Charles Babbage Award (2023) Foreign Member of Academia Europaea (2020) Fellow of ACM (2012), AAAS (2010), and IEEE (2010) NSF Presidential Young Investigator Award (1989–1994) President’s Gold Medal, IIT Kanpur (1978) Professional Activities: Keynote speaker at major conferences like ACM PACT (2018), HPCA/PPoPP/CGO (2016), and HIPEAC (2012). Served as editor-in-chief of ACM TOPLAS (2007–2010) and on NSF advisory committees. Currently teaches courses on compiler optimization and performance programming.