جست‌وجوی استاد و پژوهشگر

Kelly Dernمشاهده پروفایل

مدرس

• Product Design
• User Experience (UX)
• Design Systems
• +۳ مورد دیگر

Kelly Dern is a Lecturer in the Department of Advertising, Public Relations and Design at University of Colorado, while also serving as a Senior Product Designer and illustrator at Google. She leads the Video AI team, focusing on inclusive design for Google Workspace products like Meet and Duo, and contributes to design systems across Google Payments and Nest. Beyond Google, she advises Boost Thyroid app and ILLA, and co-founded the Old Girls Club think tank. 14+ years experience in product design Specializes in AI-driven inclusive design Advocate for women in tech Research interests center on inclusive design systems, AI-assisted creativity, and accessible UX for health technology. Her work emphasizes emotional design in wellness apps, ambiguity navigation frameworks, and scalable design processes through Figma variables. Recent publications explore AI productivity, modular type scales, and design under uncertainty. Her articles highlight practical applications in energy simulation, debt management systems, and chronic illness UI. Scientific contributions include: Google Product Excellence Award for Inclusive Design Works Advising & speaking includes teaching with Girls Who Code, advising Boost Thyroid, and keynotes at UXDX, SXC2023, and DesignOps Summit. She advocates for design ethics and cross-functional collaboration. Labs & teams include Google's Video AI team, Nest hardware team, and renewable energy design initiatives. She also mentors through platforms like Medium and LinkedIn, promoting design education and systems thinking.

• Mathematical Biology
• Evolutionary Biology
• Mechanistic Modelling
• +۳ مورد دیگر

Matthew Cody Nitschke is a Research Fellow at Flinders University's College of Science and Engineering, affiliated with the Global Ecology Laboratory and Ecology Evolution and Environment Research Section. His work focuses on mathematical biology and mechanistic modeling of evolutionary processes. PhD in Mathematical Sciences (University of Adelaide, 2022) MSc in Mathematics (North Dakota State University, 2010) MSc in Physics (University of North Dakota, 2005) Research spans three major domains: Mathematical Biology: Evolutionary transitions in individuality, emergence of multicellularity, and human behavior development Mechanistic Modelling: Population dynamics using ordinary differential equations and agent-based models Eco-Epidemiology: Spatial disease spread modeling with stochastic multi-patch systems His publications demonstrate expertise in: Evolutionary bottlenecks and population genetics Stochastic modeling of biological systems Agent-based simulations of social behavior Scientific recognition includes: Australian Research Council Grant Funded Research Scholarship (2017) Teaching Assistantships at University of North Dakota (2004-2005) Professional engagements: Invited talks at international conferences (2022-2024) Collaborations with experts in biology, philosophy, and ecology Current work on disease impact modeling in Aboriginal Australian populations

• Renewable Energy Engineering
• Coastal and Marine Engineering
• Hydrodynamic Modeling
• +۳ مورد دیگر

Dr. Ivan Lopez Moreira is an Assistant Professor in the Department of Agroforestry Engineering at the Higher Polytechnic School of Engineering, Universidad de Santiago de Compostela. His research focuses on renewable energy systems, particularly wave and tidal energy converters, hydrodynamic modeling, and artificial reef design. He is affiliated with the Strategic Grouping in Sustainable Management and Production of Bioresources (BioReDes) and the CIGEO Group for Integrated Civil Engineering and Geomatics. Lopez Moreira holds a Doctorate from the University of Santiago de Compostela (2015), focusing on optimizing turbine-chamber coupling in OWC devices using numerical modeling and laboratory tests with PIV technology, under the supervision of Dr. Jose Gregorio Iglesias Rodríguez. Research Interests: His work integrates computational fluid dynamics, experimental hydrodynamics, and ecological engineering. Key areas include: 1) Wave energy converter performance optimization, 2) Tidal stream energy site selection methodologies, 3) Hydrodynamic design of artificial reefs for biodiversity enhancement, and 4) Multi-criteria analysis for renewable energy project feasibility. Recent studies address seasonal variability impacts on hydrokinetic systems and cost-effective analysis frameworks for marine energy projects. Key Contributions: Developed novel indices for tidal stream farm siting (i-IHE index), proposed 3D hydrodynamic criteria for artificial reef nest cavities, and advanced smartphone sensor applications for OWC motion measurement. His research bridges engineering and environmental science to address sustainability challenges in coastal and marine energy systems. Labs & Teams: Active in the CIGEO Group and BioReDes strategic unit, collaborating on projects like the LOWREB caisson modeling and estuarine tidal impact assessments. His work often integrates marine spatial planning tools with renewable energy systems optimization.

Peter Münchمشاهده پروفایل

پژوهشگر

• High-performance computing
• Matrix-free computations
• Iterative solvers
• +۷ مورد دیگر

Peter Münch is a postdoctoral researcher at the Chair of Numerical Methods for Partial Differential Equations within the Institute of Mathematics at Technical University of Berlin (TU Berlin), Faculty II - Mathematics and Natural Sciences. He has held research positions at Uppsala University, University of Augsburg, Helmholtz-Zentrum Hereon, and Technical University of Munich. Dr. Münch's research focuses on high-performance scientific computing with expertise in matrix-free computations, dynamic sparse communication patterns, node-level optimization, iterative solvers including multigrid and block preconditioners, and efficient algorithms for high-dimensional partial differential equations. His work spans discontinuous Galerkin methods, computational fluid dynamics, and simulation of additive manufacturing processes including solid-state sintering and melt-pool modeling. He is one of the principal developers of the deal.II finite-element library, which won the SIAM/ACM Prize in Computational Science and Engineering in 2025. His recent publications demonstrate significant contributions to matrix-free finite element methods, multigrid solvers, and applications in computational fluid dynamics and materials science. The research shows a strong trend toward high-performance implementations of numerical methods for extreme-scale computing, with particular emphasis on matrix-free approaches that avoid explicit storage of large sparse matrices. SIAM/ACM Prize in Computational Science and Engineering 2025 (for deal.II) Dr. Münch has supervised numerous student projects including Master's theses, Bachelor's theses, and term papers on topics ranging from immersed boundary methods to high-order discontinuous Galerkin methods. His teaching activities include courses on Numerical Methods for ODEs, PDEs, and High-Performance Parallel Computing. He has contributed to multiple deal.II tutorial programs (steps 19, 68, 75, 76, 87) demonstrating advanced finite element techniques. As a principal developer of the deal.II finite element library, Dr. Münch is actively involved in the open-source scientific computing community, contributing to one of the most widely used finite element frameworks in computational science and engineering. His GitHub profile shows consistent contributions to deal.II and related projects, with significant activity in 2025.

Tianmin Shuمشاهده پروفایل

استادیار

• Machine Social Intelligence
• Embodied AI
• Human-Robot Interaction
• +۷ مورد دیگر

Tianmin Shu is an Assistant Professor in the Department of Computer Science at Johns Hopkins University's Whiting School of Engineering, with a secondary appointment in the Department of Cognitive Science. He directs the Social Cognitive AI (SCAI) Lab and is a member of the Data Science and AI Institute. Dr. Shu's educational background includes: PhD in Statistics, University of California, Los Angeles (2019) BS in Electronic Engineering, Fudan University (2014) Dr. Shu's research pioneers machine social intelligence to build human-centered AI systems. His work integrates: Embodied AI for physical-world human-robot collaboration Neurosymbolic methods for multimodal social reasoning Computational models of human social cognition Theory of Mind frameworks for mental state inference Continual learning for adaptive social agents Recent publications (2024-2025) reveal three dominant research thrusts: (1) Multimodal Theory of Mind systems like MMToM-QA for mental state reasoning, (2) Embodied assistance frameworks such as GOMA for goal-oriented human-robot alignment, and (3) Human feedback learning methods including pragmatic feature preferences. His work increasingly bridges language models with world models while exploring neural correlates of social cognition through fMRI studies. Dr. Shu's scientific contributions have been recognized with prestigious awards: Cognitive Science Society’s 2017 Computational Modeling Prize 2020 NeurIPS Best Paper Award (Cooperative AI Workshop) 2022 IROS Workshop Excellent Paper Award 2024 ACL Outstanding Paper Award (MMToM-QA) As director of the SCAI Lab, Dr. Shu leads research on socially intelligent systems through open-source platforms including VirtualHome 2 (multi-agent household simulator) and SimWorld (photorealistic interaction simulator). His lab develops computational frameworks that enable machines to perceive social dynamics, infer intentions, and provide context-aware assistance in complex environments.

Richard Petersمشاهده پروفایل

دانشیار

• Animal Behaviour
• Behavioural Ecology
• Vision Science
• +۳ مورد دیگر

Richard Peters is an Associate Professor in Ecological Plant and Animal Sciences at La Trobe University, Melbourne, where he serves as Group Leader of the Animal Behaviour Group (ABG). His research spans multiple continents including Australia, China, and Ecuador, focusing on diverse animal taxa such as lizards, frogs, birds, insects, and arachnids. Dr. Peters completed his BA(Hons) and PhD at Macquarie University, followed by postdoctoral positions at Macquarie University (2003-2005) and The Australian National University as an ARC Postdoctoral Research Fellow (2005-2009). His research program centers on animal behavior with particular emphasis on the evolution of animal signals in relation to sensory system function and evolutionary processes. The ABG investigates vibratory, acoustic, and movement-based visual signals across diverse ecological contexts. Current projects include studies on fishing spiders' population structure, Guthega skink conservation, and the 'Virtual Lens' project examining motion vision. His work integrates field studies with computational approaches to understand how environmental constraints shape animal communication systems. Dr. Peters' publication record demonstrates consistent productivity in leading journals across animal behavior, ecology, and evolutionary biology. His recent work shows a trend toward increasingly interdisciplinary research combining behavioral observations with computational modeling, particularly in the context of visual signal transmission in natural environments. His research has expanded from primarily Australian systems to include international collaborations in China and Ecuador. Dr. Peters has secured significant research funding including an ARC Discovery Project grant ($333K) for the Virtual Lens project and a National Geographic Society Research & Exploration Grant for work on Anolis lizards in Ecuador. His research has practical applications in conservation, particularly for endangered species like the Guthega skink. He leads the Animal Behaviour Group, a dynamic research team that has worked across three continents studying over 50 species. The group maintains field sites in diverse Australian ecosystems including the Galapagos Islands, Ecuadorian rainforests, and Chinese wetlands. Current projects include investigations of spider predation on agricultural pests, fishing spider population dynamics, Guthega skink conservation, and the Virtual Lens project examining motion signal transmission.

Joseph M. Kushمشاهده پروفایل

استادیار

• Survey Data
• Educational Assessment
• Academic and Behavioral Interventions
• +۴ مورد دیگر

Joseph M. Kush is an Assistant Professor in the Department of Graduate Psychology at James Madison University. He also serves as an assistant assessment specialist at the Center for Assessment and Research Studies and is a faculty member in the Assessment and Measurement Ph.D. program and the Quantitative Psychology concentration of the Psychological Sciences M.A. program. Ph.D. in Educational Psychology - Research, Statistics, and Evaluation (2021), University of Virginia B.S. in Psychology (2016), Syracuse University, with minors in Applied Statistics and Philosophy His research focuses on advancing statistical methods in social sciences, including Multilevel Structural Equation Modeling , Propensity Score Matching/Weighting , and Moderated Nonlinear Factor Analysis . He explores applications in educational assessment, behavioral interventions, and psychological measurement. Recent publications highlight methodological innovations in clustered randomized trials , integrative data analysis , and racial/economic equity in education. He oversees the Program Assessment Support Services (PASS) team, evaluating program-level assessment reports at JMU.

Ben Cardoenمشاهده پروفایل

پژوهشگر ارشد

• Biomedical image analysis
• Topological analysis
• Long tail/imbalanced machine learning
• +۴ مورد دیگر

Dr Ben Cardoen is a Research Fellow at the School of Mathematics, University of Birmingham, specializing in algorithm development for biomedical imaging analysis at multiple scales—from diffuse optical tomography to superresolution microscopy. His work focuses on recovering minimal causal signatures for pathologies in ageing and inflammation using sparse high-dimensional data. His educational background includes: BSc in Computer Science, University of Antwerp (2015) MSc in Computer Science, University of Antwerp (2017) PhD in Computing Science, Simon Fraser University (2024) Following postdoctoral work at the University of British Columbia (2025), he joined the University of Birmingham. Dr Cardoen designs scalable, interpretable algorithms leveraging belief theory, graph algorithms, and structural causal discovery to push beyond empirical resolution limits in imaging modalities. His research targets degenerative diseases (Alzheimer, ALS, ageing), metabolic disorders (diabetes), and infectious diseases, with emphasis on robustness to complex noise models. Key methodologies include weakly supervised learning for protein-organelle interaction analysis in volumetric point cloud data, utilizing distributed computing on SLURM-based supercomputers. No scientific awards are documented in the provided materials. Regarding academic mentorship and funding, the text indicates no formal advising roles or grant details beyond his current fellowship position. Dr Cardoen's active projects involve extending probabilistic learning algorithms for nested label recovery in multichannel superresolution microscopy, with applications spanning genomic analysis, viral infection tracking, and cellular drug response modeling.

• History and Philosophy of Physics
• Philosophy of Space and Time
• Ontological Aspects of Physical Theories
• +۹ مورد دیگر

Elena Castellani is Full Professor of Philosophy of Science at the Department of Literature and Philosophy (DILEF), University of Florence since September 2023. She previously served as Associate Professor (2005-2023) and Researcher (2002-2005) at the same institution. Her academic journey includes prestigious fellowships at Cologne University, Princeton University, and the Munich Center for Mathematical Philosophy. Professor Castellani's research centers on the history and philosophy of physics, with particular emphasis on symmetries, dualities, and structural approaches in theoretical physics. Her work examines ontological aspects of physical theories, reductionism and emergence, the philosophy of string theory, and scientific representation. She has made significant contributions to understanding Curie's principle, symmetry breaking, and the philosophical implications of dualities in quantum field theory. Her publication record shows consistent high-impact output across philosophy of physics journals, with recent focus on convergence strategies for theory assessment, nested modalities in astrophysical modeling, and renormalization group methods. Her work demonstrates how historical case studies, particularly from early string theory development, can illuminate methodological questions in fundamental physics. Premio Le Scienze 2002 for Foundations of Physics Editorial Board, Studies in History and Philosophy of Modern Physics (2008-present) Editorial Board, Philosophy of Physics (2022-present) Steering Committee, European Philosophy of Science Association (2017-2021) Professor Castellani actively supervises PhD students through the joint Florence-Pisa doctoral program in Philosophy. She has organized numerous international workshops on symmetries, dualities, and string theory, fostering interdisciplinary dialogue between physicists and philosophers. Her research is supported through collaborative international projects and participation in major European philosophy of science networks. She leads several seminar series including the interdisciplinary Physics-Philosophy seminar (since 2000) and the Logic and Philosophy of Science seminar (since 2002). Her international collaborations span institutions in Germany, France, the Netherlands, the United States, and Switzerland, reflecting her prominent role in the global philosophy of physics community.

Jesper Lykke Jacobsenمشاهده پروفایل

استاد

• Statistical Physics
• Disordered Systems
• Conformal Field Theory
• +۶ مورد دیگر

Jesper Lykke Jacobsen is a Professor of Theoretical Physics at the Laboratoire de Physique Théorique at École Normale Supérieure in Paris, with additional affiliation at Université Pierre et Marie Curie (now part of Sorbonne University). He is also a member of the prestigious Institut Universitaire de France, which recognizes outstanding researchers in France. His research focuses on statistical physics, particularly disordered systems, conformal field theory, and exactly solvable models. His work spans critical phenomena, phase transitions, loop models, and the Potts model, with significant contributions to our understanding of two-dimensional systems. He has made important advances in understanding the critical behavior of the Potts model with random couplings and the statistical properties of compact polymers. Analysis of his recent publications reveals a strong focus on critical loop models, conformal field theory applications, and exactly solvable systems. His work often bridges mathematical physics with condensed matter theory, exploring the deep connections between symmetry groups, critical exponents, and universal behavior in statistical systems. Many of his papers involve collaborations with leading researchers in the field, demonstrating his central role in the theoretical physics community. Institut Universitaire de France membership (prestigious research distinction) Professor Jacobsen has advised numerous PhD students, including Romain (thesis defense 2013) and Etienne (thesis defense 2019), as evidenced by group photos from their dissertation defenses. He has organized and participated in significant research conferences and workshops, such as those at Les Houches on exact methods in low-dimensional statistical physics and conformal field theory applications. His research has been supported by various academic institutions and likely research grants, though specific grant details aren't provided in the source material. He leads or participates in research teams focused on statistical physics, as shown by his regular seminars and the group photos featuring multiple researchers working in related areas. His informal statistical physics seminar series provides a venue for ongoing research discussion and collaboration.