جست‌وجوی استاد و پژوهشگر

Philip C. Schusterمشاهده پروفایل

استاد

• Particle Physics
• Astrophysics
• Dark Matter Research
• +۶ مورد دیگر

Philip C. Schuster is a Professor of Particle Physics and Astrophysics at Stanford University's SLAC National Accelerator Laboratory, where he also serves as Department Chair since 2020. His work bridges theoretical and experimental physics through leadership roles in major collaborations including APEX (as co-spokesperson), LDMX (as founding member and physics coordinator), and HPS (as founding member). Professor Schuster's research focuses on identifying dark matter properties and developing novel experimental approaches to test physics beyond the Standard Model. His recent work explores detection methods for axions and milli-charge dark matter, accelerator-based searches for light WIMP-like dark matter, and theoretical extensions of gauge theories involving massless particles with continuous spin. His work represents cutting-edge intersections between theoretical frameworks and experimental verification in particle physics. Ernest Orlando Lawrence Award, DOE (2021) New Horizons in Physics Prize, Fundamental Physics Prize Foundation (2014) Early Researcher Award, Ontario (2015) Discovery Accelerator Award, NSERC (2012) As an academic advisor, Professor Schuster actively mentors graduate students through research rotations and doctoral dissertation committees. He teaches PHYSICS 490 (Research Independent Studies) across all quarters and maintains an active research group focused on experimental particle physics. His educational background includes a Ph.D. (2007) and M.S. (2005) in Physics from Harvard University and an S.B. in Physics from MIT (2003).

Joscha Gedickeمشاهده پروفایل

استاد

• Numerical Analysis
• Computational Mathematics
• Finite Element Methods
• +۳ مورد دیگر

Joscha Gedicke is a Professor at the Institute for Numerical Simulation (University of Bonn), specializing in Numerical Analysis , Finite Element Methods , and Scientific Computing . His research focuses on adaptive algorithms, error estimation, and computational methods for partial differential equations (PDEs) and optimal control problems. Contact: gedicke@ins.uni-bonn.de | +49 228 73-69835 Teaching: Lectures on Hybrid High-Order Methods (V5E1), Adaptive Finite Element Methods (S4E1), and Discontinuous Galerkin Methods (V5E5). Research Trends: Gedicke's work spans Numerical Methods for PDEs , Adaptive Finite Element Analysis , Mixed and Discontinuous Galerkin Formulations , and Error Estimation . His recent publications emphasize Virtual Element Methods and Robust Discretizations for magnetostatic and optimal control problems. Collaborative Networks: He collaborates with researchers in computational mathematics, including institutions like TU Munich, University of Milano-Bicocca, and the University of Bonn's research seminar on Mathematics of Computation .

Lauren Tompkinsمشاهده پروفایل

دانشیار

• Particle Physics
• High Energy Physics
• Dark Matter Detection
• +۵ مورد دیگر

Lauren Tompkins is an Associate Professor of Physics in the School of Humanities and Sciences at Stanford University, holding appointments in the Physics Department. Her research focuses on fundamental particle interactions through participation in major international experiments including the ATLAS experiment at CERN's Large Hadron Collider, the Light Dark Matter Experiment (LDMX) at SLAC, and the Heavy Photon Search (HPS) at Jefferson Laboratory. Her research interests span particle physics , dark matter detection , and advanced trigger systems . She investigates the Higgs boson's properties, searches for evidence of dark sectors through heavy flavor fermions, and develops FPGA-based real-time processing systems for particle detectors. Her group specializes in custom electronics for high-rate collision environments, particularly focusing on identifying rare events like Higgs boson production and potential dark matter signatures. Professor Tompkins' recent publications demonstrate strong focus on dark matter searches, Higgs boson physics, and advanced computing techniques. Her work bridges experimental particle physics with cutting-edge computational methods, particularly in deep learning applications for vertex reconstruction and FPGA-based trigger systems for the High Luminosity LHC upgrade. CAREER Award, National Science Foundation (2016-2021) Terman Fellow, Stanford University (2014-2017) US ATLAS Education and Public Outreach Award (awarded to group member Rocky Bala Garg) She actively mentors doctoral students and postdoctoral researchers, currently advising Elizabeth Berzin, Noe Gonzalez, Sadaf Kadir, and Rory O'Dwyer as Doctoral Dissertation Advisor. Her group participates in multiple collaborative projects including the NSF Institute for Research and Innovation in Software for High Energy Physics (IRIS-HEP) and contributes to the development of the ACTS open source software project. The Tompkins Group maintains active research programs across three major experimental facilities in Switzerland, California, and Virginia.

• Flow in underground porous media
• Geoenergy
• Underground energy storage
• +۱۲ مورد دیگر

Dario Viberti is a Full Professor at the Polytechnic University of Turin, affiliated with the Department of Environmental, Land and Infrastructure Engineering (DIATI). He is a member of the Interdepartmental Center Ec-L - Energy Center Lab and actively contributes to the Master's and Continuing Education School. He serves as Coordinator for both Master’s levels I and II of the Natural Resources Development and Storage program and participates in doctoral colleges for Civil and Environmental Engineering and Materials, Sustainable Processes, and Systems for the Transition. His research focuses on flow in underground porous media , geoenergy , and underground energy storage , particularly hydrogen and CO₂ storage. His expertise spans numerical modeling, reservoir engineering, fluid mechanics, well testing, and energy transition systems. He is involved in commercial research projects with ENI Corporate University and leads initiatives related to sustainable energy applications. His recent publications reveal a strong trend in underground hydrogen storage , biogeochemical modeling , pore-scale simulation , and PVT analysis of gas mixtures . These works emphasize safety, efficiency, and long-term integrity of subsurface storage systems using advanced computational and experimental methods. Scientific Manager, Underground CO2 Storage Project (2022) Scientific Manager, Reservoir Modeling Project (2022) Coordinator, Master’s Program in Natural Resources Development and Storage Member, SEASTAR Competence Center Committee (2020–2025) He mentors several PhD students, including Michel Tawil, Marialuna Loffredo, Alice Raeli, and Alice Massimiani, supporting research in microfluidics, Lattice Boltzmann simulations, and thermodynamic characterization. He teaches courses such as Numerical Modeling for Multiphase Flow , Underground Energy Storage , and Well Logging and Testing across multiple degree programs. His work aligns with UN SDGs 7 (Affordable and Clean Energy), 9 (Industry, Innovation, and Infrastructure), and 13 (Climate Action).

Andrea Beckمشاهده پروفایل

استاد

• Numerical Methods
• Computational Fluid Dynamics (CFD)
• Fluid Mechanics
• +۷ مورد دیگر

Prof. Dr.-Ing. Andrea Beck is a faculty member and Managing Director of the Institute of Aerodynamics and Gas Dynamics (IAG) at the University of Stuttgart. She leads the Numerical Methods in Fluid Mechanics working group, focusing on high-precision numerical methods for supercomputers, particularly discontinuous Galerkin (DG) methods. Her research spans fluid mechanics, aeroacoustics, plasma physics, and multiphase flows, with applications in wind energy, helicopter systems, and environmental aerodynamics. Role: Professor and Managing Director, IAG Committees: Member of the DFG Review Board, Strategy Committee for National HPC, and steering committee of High Performance Center Stuttgart. Her research emphasizes high-order methods, turbulence modeling, and data-driven approaches. She teaches courses such as 'Numerical Methods in Fluid Mechanics' and 'CFD Programming Projects', and has developed open-source software like FLEXI and HOPR for high-performance computing. Recent articles highlight advancements in entropy-stable DG methods, turbulence simulation using graph neural networks, and multiphase flow modeling. Her work integrates machine learning with CFD to enhance simulation accuracy and efficiency.

• hp-Finite Element Method (hp-FEM)
• Fractional Diffusion Equations
• Boundary Element Method (BEM)
• +۳ مورد دیگر

Prof. Jens Markus Melenk is a Professor at TU Wien's Faculty of Mathematics and Geoinformation, leading the Computational Mathematics Research Group (E101-02-1). His research focuses on advanced numerical methods for partial differential equations, with a strong emphasis on hp-FEM (hp-Finite Element Method), fractional diffusion equations, and wave propagation problems. He has contributed significantly to the development of robust and efficient algorithms for complex domains and heterogeneous media. Key research interests include the application of hp-FEM to fractional operators (e.g., integral fractional Laplacian), boundary element methods (BEM), and the analysis of wavenumber-explicit convergence for Maxwell's equations and elastic wave equations. His work bridges theoretical analysis and computational implementation, addressing challenges in multiscale problems and singular perturbations. Notable contributions: Exponential convergence of hp-FEM for fractional Laplacian problems, wavenumber-explicit error estimates for wave equations in heterogeneous media. Collaborations: Active involvement with researchers like Markus Faustmann, Christoph Schwab, and Dirk Praetorius. Supervised theses: Includes works on hp-FEM for fractional operators, RBF interpolation, and error estimators for elliptic PDEs. His research group develops and analyzes numerical schemes for challenging PDE scenarios, with applications in electromagnetism, acoustics, and computational mechanics.

Alexandre Ernمشاهده پروفایل

استاد

• Numerical Analysis
• Finite Element Methods
• Computational Mechanics
• +۵ مورد دیگر

Alexandre Ern is a Senior Researcher at CERMICS (École des Ponts ParisTech) and INRIA Paris (SERENA team), where he has contributed since 1995 and 2016, respectively. He holds a professorship at École des Ponts (since 1997) and previously served as Associate Professor at École Polytechnique (2010–2022). Since 2015, he heads the Master's program in Applied Mathematics at École des Ponts. Ern is Co-Editor-in-Chief of the IMA Journal of Numerical Analysis (since 2024) and Associate Editor for multiple top journals including SIAM Journal on Scientific Computing and ESAIM Mathematical Modelling and Numerical Analysis. His research focuses on numerical methods (finite elements, discontinuous Galerkin, hybrid high-order schemes), a posteriori error estimation , and applications in fluid/solid mechanics and environmental flows (hydrology, porous media). He develops structure-preserving discretizations for complex PDEs and explores computational geosciences and wave propagation. Ern's publications emphasize robust error analysis , high-order discretizations , and computational efficiency for elliptic, parabolic, and hyperbolic systems. Recent work explores hybrid high-order methods for wave equations, Maxwell's equations, and interface problems, often leveraging polynomial-degree-robust techniques and unfitted meshes. Scientific Awards: Paul Caseau Prize (2020) Nominee, AMIES Prize (2020) ENPC Best PhD Award (supervision) UPE Best PhD Award (supervision) Frontiers of Science Award, Int. Congress Basic Science (2024) He actively advises PhD students (31+ supervised) and postdocs, with projects funded by industrial partners including CEA, EDF, and Safran. His team collaborates with CERMICS and INRIA's SERENA lab, focusing on computational mechanics, model reduction, and large-scale fracture networks.

Odile Merdrignac-Conanecمشاهده پروفایل

دانشیار

• Materials Science
• Ceramics Engineering
• Optical Materials
• +۵ مورد دیگر

Odile Merdrignac-Conanec is an Associate Professor in the Department of Chemistry at University of Rennes 1's Faculty of Science, affiliated with the Institut des Sciences Chimiques de Rennes (UMR 6226 CNRS). Her career spans over three decades at the university, progressing from Assistant Professor (1991-2000) to current Associate Professor status with qualification for university professorship (CNU 31-33). PhD in Chemistry, University of Rennes 1 (1989) Accreditation to Supervise Research (HDR), Chemistry; Chemical Physics, University of Rennes 1 (2000) Post-Doctoral Fellow, Harwell Lab, AEA Technology (UK) (1990-1991) Her research focuses on advanced materials synthesis and characterization, specializing in ceramics engineering for optical, sensing, and biomedical applications. Key areas include infrared-transparent ceramics (ZnS, La 2 O 2 S), gas sensors using semiconductor oxides, photocatalytic (oxy)nitrides, and biomaterials like bioactive glasses. Her work integrates soft chemistry methods with advanced sintering techniques (HP, HIP, SPS) and in-situ characterization (TPD/MS, DRIFTS). Analysis of her 15 most recent publications reveals strong emphasis on rare-earth doped phosphors for lighting applications, porous biomaterials for tissue engineering, and energy conversion materials including thermoelectrics and CO 2 reduction catalysts. Her optical materials research consistently targets infrared transparency and luminescence efficiency. 2018 Semester for Innovation of Rennes 1 Foundation 2017 Year for business creation of Rennes 1 Foundation 2015 CNRS delegation (50%) 2013 Board Member, French Ceramic Society (GFC) 1990 Chemistry PhD Thesis Prize (Pr P. Gineste Award) She has directed eight PhD theses since 2003 with notable success including the Rennes 1 Foundation Thesis Prize (2017) and French Ceramic Society Thesis Prize (2020). Her research is supported by CNRS collaborations and Rennes 1 Foundation innovation grants. She actively participates in thesis committees at institutions including University of Tübingen, ENSM Saint-Etienne, and IRCER Limoges. Her laboratory work centers on the Institut des Sciences Chimiques de Rennes, utilizing specialized equipment for ceramic synthesis, optical characterization, and biomaterial testing. Current projects include infrared-transparent sulfide ceramics and doped oxysulfides for optical refrigeration.

Rachel Ankenyمشاهده پروفایل

استاد

• History and Philosophy of Life Sciences
• Agricultural and Food Studies
• Bioethics
• +۳ مورد دیگر

Rachel Ankeny is a Professor & Chair of Philosophy at Wageningen University & Research (WUR) and holds honorary/affiliate roles at the University of Exeter and University of Adelaide. Her interdisciplinary work spans history/philosophy of life sciences, agricultural studies, bioethics, and science policy. She leads the Philosophy Group at WUR and oversees research at the ARC Training Centre for Future Crops Development. Ankeny holds advanced degrees from the University of Pittsburgh (BA, MA, PhD) and University of Adelaide (MGAstronomy, online education certificate). Research Interests: Epistemic issues in agricultural and medical science Regulatory frameworks for biotechnology Animal welfare and consumer ethics Indigenous knowledge integration Professional Activities: Board member, Ann Johnson Institute (USA) Advisory roles on Australian Commonwealth committees (FSANZ, OGTR) Editor-in-Chief, Studies in HPS Current Projects: Focus on genomic ethics, livestock welfare, and transdisciplinary science policy. Active in public engagement via initiatives like the EchidnaCSI conservation project.

Matthias Baitschمشاهده پروفایل

استاد

• Construction Informatics
• Numerical Methods
• Structural Optimization
• +۳ مورد دیگر

Matthias Baitsch serves as Professor of Construction Informatics and Numerical Methods in the Department of Civil and Environmental Engineering at Bochum University of Applied Sciences, where he concurrently heads the BIM Institute. His academic trajectory includes research assistant and senior engineer roles at Ruhr-University Bochum (2000-2009), academic coordination at the Vietnamese-German University (2009-2012), and an acting professorship at the University of Kassel (2012-2014). His educational foundation comprises: Civil Engineering studies at the University of Dortmund (1991-1997) under the interdisciplinary "Dortmund Model" Doctorate from Ruhr-University Bochum (2003) on geometric imperfection-based optimization of compressive beam structures Professor Baitsch's research integrates computational mechanics with civil engineering practice, specializing in construction informatics, numerical optimization, and high-order finite element methods. His work pioneers distributed optimization frameworks, structural health monitoring for wind energy infrastructure, and BIM-based construction informatics. Key methodological contributions include hp-FEM implementations, parallel optimization algorithms, and mobile structural analysis tools. Analysis of his recent publications reveals three dominant research trajectories: (1) Advanced numerical methods for structural optimization under uncertainty, (2) Health monitoring-driven lifetime prediction for wind turbine systems, and (3) Computational modeling of tunnel environments using viscoacoustic inversion techniques. These threads demonstrate consistent focus on robust numerical implementations and real-world civil engineering applications. As Head of the BIM Institute, he leads institutional efforts in digital construction technologies, fostering industry-academia collaboration on building information modeling standards and applications. His teaching portfolio spans foundational mathematics, numerical methods, and computer science for civil engineering students, emphasizing practical computational skills.

• Consumer Judgment and Decision Making
• Pro-Social Behavior
• Group Identity Dynamics
• +۳ مورد دیگر

Ariel Fridman is an Assistant Professor in the Department of Marketing at Esade Business School (Esade) , part of the Institute for Data-Driven Decisions . His research focuses on consumer judgment, decision-making contexts, pro-social behavior drivers, and group identity impacts. He employs multi-method approaches combining experiments with real-world data analysis. Education : Ph.D. in Management (2023) – Rady School of Management, UC San Diego B.A. in Economics (Year unspecified) – UC Berkeley Research Contributions : His work appears in top journals like the Journal of Consumer Research and Proceedings of the National Academy of Sciences , addressing topics such as vaccine hesitancy during the pandemic and intergroup decision dynamics. His findings have been covered by The Washington Post , Forbes , and The Times . Projects : Lead researcher in AIDigitalPrefer (2024–2027): Examines AI, digital environments, polarization, and echo chambers (funded by Agencia Estatal de Investigación). Member of ESADE D3 (2022–2025): A research group on data-driven decisions (funded by AGAUR). Grants & Awards : While no specific awards are listed, his research has garnered significant attention, including 507 total citations and media engagement across 79+ outlets. Professional Background : Prior to academia, Fridman worked as a pricing analyst at HP Inc. and holds expertise in econometric analysis and real-world field data integration.

Lambert Schomakerمشاهده پروفایل

استاد

• Artificial Intelligence
• Pattern Recognition
• Machine Learning
• +۶ مورد دیگر

Prof. dr. Lambert Schomaker is a Full Professor of Artificial Intelligence at the University of Groningen, leading the Artificial Intelligence and Cognitive Engineering (ALICE) institute within the Faculty of Science and Engineering. His work spans perceptual intelligence, machine learning, and neuromorphic computing, with significant contributions to handwriting recognition, robotics, and historical document analysis. Affiliations: Bernoulli Institute, CogniGron (Cognitive Systems & Materials), and Data Science & Systems Complexity (DSSC) centers. Education: M.Sc. (1983) and Ph.D. (1991) in Psychophysiology/Psychology from Nijmegen University. Research Interests: AI, pattern recognition, neural networks, autonomous systems, and applications in cultural heritage (e.g., the MONK system for handwritten archive indexing). He has pioneered handwriting recognition methods used in modern devices like tablets and led the 30MEuro Target project for large-scale data mining. Grants & Projects: Includes NWO-funded initiatives (e.g., Catch, TriGraph) and EU projects (MANTIS, MANIC). Current focus areas include neuromorphic computing with electronic materials and AI-driven analysis of the Dead Sea Scrolls. Awards: IBM Faculty Awards (2011, 2012), IAPR Best Paper Award (2012), Ching Yee Suen Special Award (2012). Advising: Supervised over 20 PhD students in AI, robotics, and document analysis. Active in industry collaborations (e.g., HP, Microsoft). Labs/Teams: Director of ALICE, contributor to CogniGron, and leader of the MONK system team. Current research includes neuromorphic hardware development and AI applications in maintenance systems.

• Security
• Embedded Systems Security
• Cyber-Physical Systems Security
• +۱۳ مورد دیگر

Francesco Regazzoni is a Senior Researcher at the Faculty of Informatics, Università della Svizzera italiana (USI), and affiliated with the Dalle Molle Institute for Artificial Intelligence (IDSIA USI-SUPSI). His work bridges embedded systems, cybersecurity, and artificial intelligence, with a focus on securing hardware and cyber-physical systems. Research Interests: His expertise spans embedded and cyber-physical systems security, side-channel attacks, post-quantum cryptography, hardware trojans, random number generators, and the security of AI and approximate computing. He also contributes to hardware/software co-design and operating systems security. The analysis of his recent publications reveals a consistent focus on hardware and system-level security , particularly in resource-constrained environments like IoT and embedded devices. His work integrates machine learning for attack detection and applies formal methods to ensure trust in hardware. A growing emphasis is placed on securing AI systems from physical and adversarial threats. Scientific Contributions: Over 100 peer-reviewed publications One book and one patent Extensive international collaboration (Belgium, Netherlands, USA, Switzerland, Singapore) Advising and Grants: While specific advisees and grants are not listed, his leadership in funded research projects and involvement with ALaRI and IDSIA suggest active mentorship and project coordination. His work has been supported by industry (e.g., ST Microelectronics, HP), the Swiss National Foundation, and the European Union. Labs and Teams: He is part of the Graph Machine Learning Group (GMLG) at IDSIA, which evolved from the Advanced Learning and Research Institute (ALaRI). This group focuses on graph machine learning, reinforcement learning, and dynamical systems, particularly in non-stationary environments.

Marina de Araújo Igrejaمشاهده پروفایل

پژوهشگر

• Use-Wear Analysis
• Middle Stone Age (MSA)
• Howiesons Poort (HP) Tradition
• +۴ مورد دیگر

Marina de Araújo Igreja is an Auxiliary Researcher at the CIBIO-InBIO (Centro de Investigação em Biodiversidade e Recursos Genéticos) under the University of Porto , with a focus on stone tool use-wear analysis and Middle Stone Age (MSA) archaeology . She is also associated with the UMR 7269 CNRS laboratory in France. PhD in Archaeology (2005, University of Aix-en-Provence, France) Specializes in use-wear analysis of prehistoric stone tools Key research areas include cultural adaptation , human dispersal , and technological innovation during the MSA and Howiesons Poort phases. Her research bridges lithic technology and environmental interactions , examining how ecological factors shaped subsistence strategies and tool functionality . She employs molecular archaeology and microscopic techniques to study hafting adhesives and microwear patterns . Notable findings include the first molecular identification of Podocarpus resin in MSA contexts. Marina has contributed to 15 peer-reviewed publications (including 10 in high-impact journals like Journal of Archaeological Science and Southern African Humanities ), focusing on technological transitions , organic residue analysis , and cultural evolution . Her work has been supported by grants from FCT , Marie Curie IOF , and international collaborations with institutions in France, South Africa, and Syria. Scientific Awards: FCT Post-doctoral Grant (2006-2012) Marie Curie Individual Fellowship FCT Investigador FCT contract She collaborates with the Diepkloof Rock Shelter excavation team and contributes to understanding regional MSA traditions . Her recent projects explore cultural transmission mechanisms and early modern human adaptation .

• Compilers
• Computer Architecture
• High-Level Synthesis
• +۵ مورد دیگر

Scott Mahlke is a Professor and Associate Chair in the Department of Electrical Engineering and Computer Science at the University of Michigan's College of Engineering. He is affiliated with both the Advanced Computer Architecture Laboratory and the Software Systems Laboratory. Dr. Mahlke joined the University of Michigan in 2001 after completing his Ph.D. at the University of Illinois and working at HP Laboratories. Ph.D., University of Illinois Former Researcher, HP Laboratories Dr. Mahlke's research spans compilers, computer architecture, and high-level synthesis, with particular focus on overcoming challenges in performance, power consumption, and reliability for next-generation computer systems. His work integrates hardware and software co-design approaches to address fundamental limitations in modern computing platforms. His research has evolved from traditional compiler and architecture topics toward increasingly incorporating machine learning acceleration, autonomous systems, and reliability engineering. Analysis of his recent publications (2021-2025) reveals a strong trend toward hardware-software co-design for emerging workloads, particularly in autonomous systems, neural network acceleration, and reliability-aware computing. His work demonstrates consistent innovation in bridging compiler technology with architectural innovations to solve real-world performance and efficiency challenges. Dr. Mahlke has received significant recognition for his contributions to the field: National Science Foundation CAREER Award (2003) for "Compiler-Directed Synthesis of Application Specific Processors" Morris Wellman Faculty Development Assistant Professor appointment (2004) ISCA Most Influential Paper Award (2006) for the 1991 paper "IMPACT: An Architectural Framework for Multiple Instruction Issue Processors" Young Alumni Award from the University of Illinois ECE Department (2007) As an educator, Dr. Mahlke has taught core computer systems courses including EECS 370 (Introduction to Computer Organization), EECS 483 (Compiler Construction), and EECS 583 (Advanced Compilers) since joining Michigan. His teaching philosophy follows Yale Patt's 10 commandments for teaching, emphasizing understanding over memorization, genuine respect for students, and taking responsibility for course content. He has received mixed but generally positive student evaluations, with students noting both his deep subject matter expertise and areas for improvement in lecture delivery. Dr. Mahlke maintains active research leadership through his affiliations with the Advanced Computer Architecture Laboratory and Software Systems Laboratory, where his team continues to explore innovative approaches to compiler and architecture challenges in modern computing systems.