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Katinka WolterView profile

Professor

• Dependable Distributed Systems
• Stochastic Models
• Performance Evaluation
• +6 more

Prof. Katinka Wolter is a Professor at Freie Universität Berlin's Department of Mathematics and Computer Science, leading the Dependable Distributed Systems group. Her research focuses on adaptive and resilient distributed computing systems, leveraging stochastic models and machine learning. She is the Erasmus Coordinator for international student exchanges and serves on the department board and exam committee. Education: PhD in Computer Science (TU Berlin, 1999), Habilitation in Computer Science (Humboldt University Berlin, 2008). Previous roles include Visiting Professorships at Imperial College London and Cochin University, and positions at Newcastle University and Humboldt University. Research Interests: Evaluating dependability, performance, and security of complex systems, stochastic modeling, fault-tolerance, blockchain technology, and phase-type distributions. Tools developed include HyperStar and HyperStarC for distribution fitting. Awards: Best Paper Awards at ICPE 2015 and QEST 2004, DFG-funded research projects, and recognition as a top reviewer for the Journal of Systems and Software. Grants: Multiple DFG-funded projects on system evaluation and service-oriented architectures. Collaborations with institutions like Imperial College London and Technical University Budapest. Labs/Teams: Head of Dependable Systems Group, managing projects on cryptocurrency analysis, distributed restart algorithms, and mobile offloading systems.

Simon Portegies ZwartView profile

Professor

• Computational Astrophysics
• Gravitational Dynamics
• Stellar Evolution
• +4 more

Simon Portegies Zwart is a Professor of Computational Astrophysics at Leiden University's Leiden Observatory (Sterrewacht Leiden). His research focuses on computational gravitational dynamics, stellar evolution, and supercomputing applications in astrophysics. He leads the AMUSE software framework project, enabling multi-domain astrophysical simulations. He holds editorial roles at the Journal of Computational Astrophysics and is a member of the Royal Netherlands Academy of Arts and Sciences (KHMW). Education: PhD in Astrophysics (Utrecht University) Research Interests: His work spans numerical stellar dynamics, galaxy evolution, and high-performance computing. Notable contributions include simulating star cluster dynamics, supermassive black hole interactions, and planetary system formation. He emphasizes sustainable computational practices and interdisciplinary software development. Key Contributions: Developed the Starlab, AMUSE, and OMUSE software packages Recipient of the HPC Innovation Excellence (2020) and SURF Innovation Challenge (2015) awards Advising & Grants: Supervises multiple PhD candidates and postdocs, focusing on computational astrophysics and oceanography. Collaborates with institutions like RIKEN (Japan) and the Massachusetts Institute of Technology (MIT). Labs & Teams: Leads the Computational Astrophysics group at Leiden, specializing in gravitational dynamics and multi-physics simulations.

Alberto LeonardiView profile

Research Fellow

• Nano-materials for energy and sustainability
• Scattering and diffraction methods
• Multiscale simulation
• +5 more

Dr. Alberto Leonardi is a Beamline Scientist at Diamond Light Source Ltd. (UK) and holds a Habilitand position at Friedrich-Alexander Universität Erlangen-Nürnberg (Germany) . His research focuses on nano-materials for energy and sustainability, combining experimental scattering techniques with multiscale simulations. He specializes in developing high-performance algorithms for simulating diffraction patterns of large atomistic models, as demonstrated by the ROSE-X software. Education: University of Trento (Italy) Indiana University Bloomington (USA) Friedrich-Alexander-Universität Erlangen-Nürnberg (Germany) Key Research Areas: Structure-property relationships in nanomaterials Diffraction-based analysis and simulation High-performance computing (HPC) for materials modeling Leonardi’s work emphasizes linking experimental observations with computational models to study material kinetics, mechanical properties, and chemical sensitivity. He has developed innovative methods for analyzing structural defects and disorder in nano-polycrystalline materials. His ROSE-X software enables rapid simulation of diffraction patterns for systems with millions of atoms, leveraging parallel computing on CPU/GPU clusters. He has taught at academic and high-school levels, emphasizing interdisciplinary approaches. His international collaborations span diverse institutions, including the Rutherford Appleton Laboratory (UK).

• Neuroscience
• Computer Science
• Neurobiology
• +2 more

Jan-Harm Betting is a Researcher at Erasmus MC, where he conducts interdisciplinary research spanning neuroscience and computer science. His primary affiliations center on computational approaches to neural systems and high-performance computing applications. His research integrates Neuroscience and Computer Science, focusing on: Neuroscience: Purkinje cell dynamics, neural oscillations, sensorimotor integration, and rodent behavioral analysis. Computer Science: Deep-learning algorithms, high-performance computing optimization, and computer-vision techniques for biomedical data. Publications from 2020–2023 reveal a consistent focus on developing computational tools for neuroscience, including whisker-tracking algorithms for rodent behavior studies and resource-management systems for cloud HPC. His work frequently combines empirical neural data with advanced computational modeling. He collaborates internationally, as evidenced by multi-institutional research networks and co-authored publications with peers across neuroscience and engineering disciplines.

Jean-Pierre HickeyView profile

Associate Professor

• Multiphysics Simulations
• Turbulent Simulations (LES/DNS)
• High-speed Aerothermodynamics
• +4 more

Associate Professor Jean-Pierre Hickey at the University of Waterloo specializes in multiphysics simulations, turbulence modeling, high-speed aerothermodynamics, and acoustics. His research focuses on LES/DNS simulations, supercritical mixing, and thermoacoustic coupling. He holds a Ph.D. in Mechanical Engineering from the Royal Military College of Canada and has postdoctoral experience at Stanford University's Center for Turbulence Research and the German Aerospace Center (DLR). Education: 2012: Ph.D., Mechanical Engineering, Royal Military College of Canada 2007: M.Sc., Computational Mechanical Engineering, TU-Darmstadt 2004: Bachelor's, Mechanical Engineering, École Polytechnique de Montréal His research interests span turbulent flows, hypersonic aerodynamics, and combustion processes. He has authored over 50 publications, including studies on shock-turbulence interaction, transpiration cooling, and particle clustering in turbulent flows. His work bridges computational fluid dynamics (CFD), experimental validation, and machine learning for aerospace and environmental applications. In 2019, he received an award for excellence in teaching and scholarship. He teaches advanced fluid mechanics courses (ME 351, ME 566, ME 664) and mentors graduate students in experimental and computational fluid dynamics. His lab (www.mpilab.ca) focuses on developing novel methodologies for turbulence modeling and flow control. Awards: 2019 University Excellence Award for Teaching and Scholarship Current research includes in-situ resource utilization for space applications, deep learning for acoustic source localization, and turbulence modeling for hypersonic flows. He collaborates on projects funded by NASA and the Canadian Space Agency, aiming to advance propulsion systems and thermal protection technologies.

Erik SchnetterView profile

Adjunct Professor

• Computational Science
• High-Performance Computing (HPC)
• Scientific Software Development
• +3 more

Erik Schnetter is the Research Technologies Group Lead at the Perimeter Institute for Theoretical Physics in Waterloo, Canada, and holds adjunct professorships at the University of Waterloo's Department of Physics & Astronomy, the University of Guelph's Department of Physics, and Louisiana State University's Center for Computation & Technology. His research focuses on computational science, high-performance computing (HPC), and developing tools for scientific collaboration and application development. His expertise includes numerical relativity, gravitational physics, and quantum field theory in curved spacetime. He has contributed to major projects like the Einstein Toolkit and AsterX, advancing GPU-accelerated simulations for astrophysical phenomena such as black hole mergers and core-collapse supernovae. Schnetter’s work emphasizes bridging HPC communities and improving accessibility to computational infrastructure. Key Awards: 1st place in the 2009 IEEE International Scalable Computing Challenge. Teaching: Regularly teaches Numerical Methods (PHYS 777) at the University of Waterloo, covering topics like computational physics and relativity. Software Contributions: Leads development of open-source tools for HPC and relativistic simulations. His recent work explores GPU-accelerated algorithms, quantum field localization, and black hole echo modeling, reflecting his dual focus on foundational physics and computational innovation.

• Computer Architecture
• Reliable Computer Design
• Fault Detection and Recovery
• +3 more

Gülay YALÇIN is an Assistant Professor at Abdullah Gul University since 2016. She holds a Ph.D. in Computer Architecture from Universitat Politècnica de Catalunya (2014), an MS in Computer Engineering from TOBB University (2007), and a BS in Computer Engineering from Hacettepe University (2003). Her research focuses on reliable computer design, fault detection, parallel architectures, and low-power systems. She has led projects like ParaDIME (2012-2015) and Velox (2008-2011), advancing energy-efficient computing and transactional memory. Education: Ph.D., Universitat Politècnica de Catalunya, Department of Computer Architecture (2008-2014) M.S., TOBB University of Economics and Technology, Computer Engineering (2007) B.S., Hacettepe University, Computer Engineering (2003) Research Interests: Her work spans fault-tolerant computing, energy-efficient designs, hardware transactional memory, and parallel architectures. She has contributed to error detection techniques leveraging comparators, voltage scaling for reliability, and novel cache designs like Flexicache. Key Projects: ParaDIME (2012-2015): Energy minimization in data centers. Shortlisted for the 2016 Innovation Radar Prize. Velox (2008-2011): Transactional memory for multi-core systems. Reliable Embedded Processors (2007-2008): Fault mitigation in embedded systems. Teaching: She teaches undergraduate courses on 'Exploring Profession' and graduate courses on 'Computer Architecture.' Advising: Currently advising M.S. student Albert Njoroge Kahira on reliable microarchitecture design. Labs/Teams: Active in the Barcelona Supercomputing Center (BSC) during her postdoc (2014-2015) and as a graduate researcher (2009-2014).

Terrance M. FigyView profile

Associate Professor

• Theoretical Particle Physics
• High Energy Physics
• Collider Physics
• +3 more

Terrance M. Figy is an Associate Professor and Director of High-Performance Computing (HPC) at Wichita State University, within the Department of Mathematics, Statistics, and Physics at the Fairmount College of Liberal Arts and Sciences. His research focuses on theoretical particle physics, particularly in Higgs boson physics, collider physics, and computational methods for high-energy physics experiments. Figy earned his B.S. in Physics and Mathematics from the University of Wisconsin-Eau Claire (2000) and his Ph.D. in Physics from the University of Wisconsin-Madison (2006). He held postdoctoral positions at Durham University, CERN, and the University of Manchester before joining Wichita State in 2015. His work emphasizes precision calculations in particle physics, including QCD corrections to Higgs production processes and the development of computational tools like VBFNLO for vector boson fusion simulations. He has contributed to studies at the LHC and explores future collider potential, such as muon collider research. His recent efforts focus on Higgs boson interactions and triplet model scenarios at high-energy colliders.

Majid SalimibeniView profile

Research Fellow

• High Performance Computing
• Parallel Computing
• Message Passing in Large-scale HPC systems
• +6 more

Majid Salimibeni is a PostDoc Researcher and Research Fellow at Vienna University of Technology (TU Wien) , affiliated with the Parallel Computing research unit. He previously held a Postdoc position at the Department of Computer Science at the University of Salerno, Italy (2024), and has been a visiting researcher at TU Wien (2023). Currently based in Vienna, Austria, his work focuses on High Performance Computing (HPC) and its interdisciplinary applications. Education: Ph.D. in Computer Science, University of Salerno, Italy (2020–2024) M.Sc. in Computer Engineering (Software), Shiraz University, Iran (2017–2020) B.Sc. in Computer Engineering (Software), University of Birjand, Iran (2012–2016) Salimibeni's research explores High Performance and Parallel Computing , with a focus on optimizing GPU communication via NCCL , improving energy efficiency in heterogeneous computing environments , and enhancing MPI collective algorithms for large-scale systems. His work bridges HPC infrastructure with emerging applications in Distributed Deep Learning and AI . Recent publications highlight his expertise in GPU frequency scaling , NCCL profiling , and process arrival pattern analysis to improve distributed system performance. These works appear at top conferences like IPDPS , Cluster Computing , and ASHPC . Scientific Awards: Best Paper Award, Bench 2022 Salimibeni contributes to academic committees as a program committee member for IEEE ICPP 2025, ISC 2025, and BigHPC 2024, and serves on artifact evaluation committees for ASPLOS and CF conferences.

Philippe PoncetView profile

Professor

• Numerical Analysis
• High Performance Computing
• Fluid Dynamics
• +5 more

Philippe Poncet is a Professor at the Université de Pau et des Pays de l'Adour (UPPA) and Vice-President for Digital Environment. He leads the Numerical Methods and Complex Fluids team at the Laboratory of Mathematics and their Applications (LMAP). His expertise spans particle/vortex methods, high-performance computing, and applications in geoscience, microfluidics, and biomathematics, with a focus on reactive flows and porous media. Poncet's research integrates numerical analysis with practical challenges in environmental and biomedical engineering. Key interests include Lagrangian methods for fluid dynamics, optimization algorithms, pore-scale modeling, and cystic fibrosis biomechanics. His work bridges theoretical mathematics and industrial-scale simulations. Recent publications demonstrate advances in pore-scale dissolution modeling, Bayesian neural networks for inverse problems, and viscous flow simulations. His articles consistently address multi-scale challenges in geosciences and biomedicine using innovative computational frameworks. He has led significant projects including the ANR-funded MucoReaDy (mucus dynamics in respiratory diseases) and MicroMineral (CO₂ mineral storage). These collaborations involve multidisciplinary teams addressing environmental and health-related fluid dynamics.

Frederick GentView profile

Assistant Professor

• Magnetohydrodynamics
• Dynamo Theory
• Solar Magnetic Activity
• +3 more

Frederick Gent is an Assistant Professor at the Nordic Institute for Theoretical Physics (Nordita) and a Research Fellow at the Department of Computer Science, affiliated with the Korpi-Lagg Maarit and Vehtari Aki professorships. He holds a PhD in Natural Sciences from Newcastle University (2012) and has been a Visiting Researcher there since 2018. His research focuses on magnetohydrodynamics, dynamo theory, and interstellar medium dynamics, with applications to solar magnetic activity and supernova-driven turbulence. Gent has been awarded the 2018 Grand Challenge Award for his work on galactic dynamo interactions. He supervises postgraduate students, including A. Capobianco and P. Tengnér, and collaborates internationally, notably through the Pencil Code project. His work bridges computational astrophysics and theoretical physics, addressing challenges in high-performance computing and numerical simulation. Education: Doctoral degree in Natural Sciences (Newcastle University, 2012). Research interests include magnetic field dynamics in galaxies, supernova-driven turbulence, and the interplay between magnetic fields and interstellar medium structures. His computational methods leverage advanced numerical models to simulate astrophysical phenomena, such as magnetic buoyancy instabilities and dynamo transitions. Recent studies examine the destruction of supernova dust in magnetized environments and the transition from small- to large-scale dynamos in multiphase media. Scientific awards include the 2018 Grand Challenge Award for interdisciplinary dynamo research. He actively participates in conferences and workshops, notably organizing the Pencil Code User Meeting (2024) and presenting invited talks on galactic dynamo models. Gent’s advising roles include co-supervising doctoral students alongside Prof. Shukurov and mentoring visiting researchers at Nordita and Newcastle University. Labs/Teams: Pencil Code Collaboration (software developer), Korpi-Lagg Maarit Research Group (visiting fellow), and Nordic Institute for Theoretical Physics (primary affiliation).

• High Performance Computing
• Parallel Computation
• Novel Architectures
• +3 more

Dr. Steven Wright is a Senior Lecturer in Computer Science at the University of York, specializing in High Performance Computing (HPC), Parallel Computation, and Novel Architectures. He joined the Department of Computer Science in 2018 and is a member of the Real-Time and Distributed Systems research group. His research focuses on optimizing supercomputers and scientific applications for performance, energy efficiency, and programmability. He collaborates with national laboratories, universities, and industry partners such as the UK Atomic Energy Authority and Intel. Prior to York, he was a Research Fellow at the University of Warwick, working on projects involving fusion physics and Rolls-Royce collaborations. Dr. Wright holds a Ph.D. (2014) and M.Eng. from the University of Warwick, where his doctoral thesis addressed I/O optimization in parallel applications. His teaching responsibilities include leading the High-Performance Parallel and Distributed Systems (HIPC) module and serving as Programme Lead for on-campus Undergraduate CS Programmes. He has also contributed to the Software Testing (SOTE) module and departmental roles such as Chair of the Board of Examiners. Research interests span HPC, energy-efficient computing, and application optimization. Recent work emphasizes performance portability, fusion simulations, and parallel I/O systems. His projects, such as the P3 Explorer database and EMPIRE-PIC framework, highlight contributions to HPC software and simulation tools. Collaborations with institutions like Sandia National Laboratories and industry partners like NVIDIA reflect his interdisciplinary approach to advancing computational science.

Christian BischofView profile

Professor

• High Performance Computing
• Automatic Differentiation
• Parallel Algorithms
• +1 more

Prof. Dr. Christian Bischof is Professor of Computer Science at TU Darmstadt, leading research in high-performance computing and automatic differentiation. His work includes adaptive computing systems and parallel algorithms.

• Seismology
• Earthquake Source Processes
• Tectonic Processes
• +3 more

Jochen Braunmiller is a Research Assistant Professor in the School of Geosciences at the University of South Florida, within the College of Arts and Sciences. His research focuses on seismology, earthquake source processes, tectonic dynamics, and Earth structure. He holds a Ph.D. from Oregon State University (1992–1998), an M.S. from the same institution (1988–1991), and a Vordiplom from the University of Karlsruhe (1985–1988). His work spans diverse tectonic settings, including oceanic transform faults, volcanic systems, and continental intraplate regions. Key areas of investigation include moment tensor analysis, seismic swarm mechanisms, and post-seismic deformation. Braunmiller has contributed to projects like the Gorkha Earthquake Nepal Aftershock Study (NAMASTE) and the Montserrat Volcano Observatory data preservation initiative. Research highlights include studies on the 2020 Nevada M 6.5 earthquake, magma intrusions in Iceland’s Reykjanes Peninsula, and crustal structure in Iran’s Central Alborz. He also emphasizes education, developing computational tools for seismologists and integrating fieldwork into student training. His publications often bridge seismology with geodesy, geophysics, and applied geology. Braunmiller collaborates internationally, with contributions to the Middle East Moment Tensor Database and the Blanco Transform Fault OBS Experiment. Despite no explicitly listed scientific awards, his extensive peer-reviewed output reflects sustained recognition in the field. His advising record remains unspecified, though his involvement in student-led field studies (e.g., Idaho’s Lost River Valley) suggests mentorship in field methodologies. Grants or lab affiliations are not detailed in the provided texts.

Raffaele De AmicisView profile

Associate Professor

• Virtual Reality
• Augmented Reality
• Human-Computer Interaction
• +7 more

Raffaele De Amicis is an Associate Professor at the School of Electrical Engineering and Computer Science , Oregon State University. With a PhD in Industrial Engineering from the University of Bologna (2001) and a professional engineering license (1997), he bridges technical expertise with immersive technology applications. His career spans roles at Fraunhofer Institute (1999-2002), founding directorship of GraphiTech in Trento, Italy, and consulting professorship at the University of Trento (2003-16). Degrees: Ph.D., Design and Methods of Industrial Engineering, University of Bologna M.S., Mechanical Engineering, University of Calabria Professional Engineer License, Italian Charter Research focuses on Virtual Reality , Augmented Reality , and Human-Computer Interaction , particularly for industrial training, geospatial visualization, and educational applications. His work on digital twins, immersive engineering instruction, and XR-based disassembly systems demonstrates interdisciplinary impact. Scientific contributions include over 120 publications, three books, and 15 edited texts. Key projects involve VR safety training for confined spaces, AI-augmented AR guidance, and forest digital twin frameworks. Articles span 2012-2025, emphasizing 3D visualization , multimodal interfaces , and smart manufacturing . Scientific Leadership: Vice-President, GraphicsMedia.net (2010-present) Project Coordinator for EC/NATO/industry grants (€20M total) Founder, GraphiTech Research Center His expertise in multinational research coordination and technology transfer has shaped collaborations across Europe, with applications in forestry, urban planning, and hazardous environment training.