جست‌وجوی استاد و پژوهشگر

Olga Ortega-Martinezمشاهده پروفایل

پژوهشگر

• Molecular Biology
• Developmental Biology
• Stem Cell Research
• +۷ مورد دیگر

Olga Ortega-Martinez is a Researcher at the Department of Marine Sciences , University of Gothenburg. As an EMBO Fellow , her work focuses on molecular and developmental biology , stem cell behavior , and regeneration mechanisms in marine organisms, particularly echinoderms . Her research explores gene regulatory pathways shared between embryonic development and adult regeneration, with implications for chordate evolution . Institution: University of Gothenburg Department: Marine Sciences Email: olga.ortega-martinez@marine.gu.se Current projects investigate biomineralization and cell lineage regulation in brittlestars ( Amphiura filiformis ), integrating genomics and molecular biology to understand regenerative capacity and environmental stress adaptation . Her group examines how ocean acidification disrupts developmental pathways, linking these findings to global ecological challenges. Scientific contributions include studies on: Brittlestar genome (2024) - Echinoderm regeneration genomics Chondroitin sulfate roles (2017) - Glycobiology in regeneration Environmental stress impacts (2014, 2010) - Ocean acidification effects Marine population genetics (2022, 2023) - Ecotype differentiation Publications span marine molecular biology , regenerative medicine , and environmental genomics . Her work bridges fundamental developmental biology with applied climate change research , using advanced transcriptomic and proteomic techniques to analyze gene expression during regeneration and stress adaptation.

• Programming Languages
• Reversible Computing
• Software Systems
• +۲ مورد دیگر

Robert Glück is a Professor at the Department of Computer Science under the Faculty of Science , University of Copenhagen. He also served as a Visiting Professor at the National Institute of Informatics, Tokyo . His research spans programming languages , reversible computing , and metaprogramming , with a focus on energy-efficient computation. Email: glueck@di.ku.dk Phone: +45 29611655 Address: Universitetsparken 5, Building B, 2100 Copenhagen Ø Glück's research interests center on reversible computing , program generation , and metaprogramming , particularly for low-energy systems. His work includes developing reversible logic circuits, invertible interpreters, and tools for program inversion via term rewriting systems. Recent publications highlight advancements in reversible flowchart languages , partial evaluation techniques , and compiler design . Key themes include garbage-free reversibility, memory-efficient algorithms, and formal verification of reversible systems. Scientific Awards: Japan Society for the Promotion of Science (JSPS) Fellowship Grants & Projects: Presto Basic Research Grant (JST) Danish Council for Strategic Research (DSF) project Danish Council for Independent Research (FNU) project Administrative Roles: Current member of the Study Board for Mathematics and Computer Science Former Head of Studies for the Master in Computer Science Professional Activities: IFIP Technical Committee WG 2.11 member (2004–) Steering Committee roles at LOPSTR 2024, FLOPS 2024, HCVS 2024, RC 2024 Editorial Board member for New Generation Computing (2005–)

Martina Chirilus-Brucknerمشاهده پروفایل

استادیار

• Nonlinear Partial Differential Equations
• Dynamical Systems
• Mathematical Analysis
• +۳ مورد دیگر

Martina Chirilus-Bruckner is an Assistant Professor in the Mathematical Institute at Leiden University, Faculty of Science, specializing in the analysis of applied nonlinear partial differential equations. She is a member of the Analysis and Dynamical Systems group and actively contributes to the mathematical community through her research and service roles. Dr. Chirilus-Bruckner received her PhD in Mathematics in 2009 from the University of Karlsruhe (now Karlsruhe Institute of Technology), Germany, following her Diploma in "Technomathematik" in 2006. Her academic journey includes postdoctoral and lecturer positions at Centrum Wiskunde & Informatica in Amsterdam, Boston University, Brown University, and Sydney University, establishing her international research profile. Her primary research focuses on nonlinear partial differential equations, dynamical systems, and their applications. She investigates pattern formation, wave propagation, stability of solutions, and bifurcation phenomena in various contexts including reaction-diffusion systems, nonlinear wave equations, and ecological models. Her work combines rigorous mathematical analysis with applications to physical and biological systems, demonstrating the power of mathematical modeling in understanding complex phenomena. Analysis of her recent publications reveals a consistent focus on nonlinear phenomena in spatially extended systems. Her research spans from theoretical investigations of fundamental equations like the Swift-Hohenberg, Klein-Gordon, and reaction-diffusion systems to applications in ecological pattern formation. A notable trend is her work on validity of approximation methods, particularly modulation equations like the Nonlinear Schrödinger and Korteweg-de Vries equations for describing complex wave dynamics. Dr. Chirilus-Bruckner is actively involved in the mathematical community as a member of the Board of NDNS+ (Nonlinear Dynamics and Natural Systems Plus) NWO-Cluster of Mathematics and serves on the Education Committee of the Mathematical Institute at Leiden University. She is organizing academic events including an upcoming Autumn School on "From microscopic dynamics to continuum limits," demonstrating her commitment to advancing research and education in her field. Her research collaborations span multiple institutions and countries, reflecting the international nature of modern mathematical research. She frequently collaborates with researchers from the Netherlands, Germany, and the United States, contributing to a vibrant network of scholars working on nonlinear phenomena.

Ken Nakayamaمشاهده پروفایل

استاد

• Vision Sciences
• Visual Perception
• Psychophysics
• +۵ مورد دیگر

Ken Nakayama is the Edgar Pierce Professor of Psychology at Harvard University, where he has been since 1990. Previously, he spent 20 years at the Smith Kettlewell Eye Research Institute in San Francisco. He holds a B.A. from Haverford College and a Ph.D. from UCLA. University: Harvard University Department: Department of Psychology Lab: Vision Sciences Laboratory Research Interests Nakayama’s work focuses on understanding the mechanisms of visual perception, including motion perception, attention, face recognition, and the neural basis of visual processing. He explores how the brain constructs coherent visual scenes from dynamic sensory inputs, emphasizing the interplay between low-level visual processing and higher-order cognitive functions. His research employs methods such as visual psychophysics, computational modeling, and neuroimaging to study topics like the perception of surfaces, motion, and attentional deployment. Recent work includes investigations into developmental prosopagnosia (face blindness) and the role of visual perception in social cognition. Key Contributions Nakayama has contributed fundamentally to understanding the aperture problem in motion perception, the role of attention in visual search, and the neural correlates of face recognition. He co-developed the Cambridge Face Memory Test, a gold-standard tool for assessing face recognition abilities. His lab has also studied the impact of perceptual learning, the effects of brain lesions on visual processing, and the application of visual psychophysics to neurological disorders. Collaborations with neuroscientists and clinicians highlight his interdisciplinary approach to understanding vision and cognition.

Raluca Feleaمشاهده پروفایل

استاد

• Microlocal Analysis
• FIOs with Singularities
• Inverse Problems in SAR and Seismology
• +۱ مورد دیگر

Raluca Felea is a Professor in the School of Mathematics and Statistics at the Rochester Institute of Technology (RIT), part of the College of Science. She holds a BS from the University of Iasi (Romania) and a Ph.D. from the University of Rochester. Her research focuses on Microlocal Analysis, FIOs with Singularities, Inverse Problems in SAR and Seismology, and Mathematical Modeling. She has published notable works in journals like Journal of Pseudo-Differential Operators and Applications and Inverse Problems and Imaging , addressing topics such as cusp singularities, Doppler SAR analysis, and SAR imaging dynamics. Felea has presented her research at venues including Michigan State University and conferences on seismic data analysis. She is actively involved in education, teaching courses like Linear Algebra, Boundary Value Problems, and Complex Variables. Her work also extends to organizing the Summer Math Workshop ( SMS ). Though no formal awards are listed, her contributions to inverse problems and applied mathematics highlight her scholarly impact.

Rahul Mouryaمشاهده پروفایل

مدرس

• Machine Learning
• Computer Vision
• Inverse Problems
• +۶ مورد دیگر

Rahul Mourya is a Lecturer in Computer Science at the Faculty of Science and Engineering , University of Wolverhampton, UK. He joined in October 2023 and is affiliated with the Digital Innovations and Solution Centre (DISC) , which focuses on fundamental and applied research with societal and economic impact. PhD & MSc in Computer Science (Signal/Image/Vision) from Université Jean Monnet Saint-Etienne, France BEng in Electronics & Telecommunications from University of Pune, India His research develops foundational tools for machine learning, computer vision, inverse problems , and signal/image processing , with applications in autonomous systems, robotics, and sensor networks . Teaching includes computational mathematics, robotics engineering, and deep learning modules. Collaborations span institutions like Heriot-Watt University, Telecom ParisTech, and interdisciplinary projects in underwater acoustics and astronomical imaging. Current research explores measurement-consistent neural networks and optimization algorithms for inverse problems.

• Applied Mathematics
• Numerical Analysis
• Mathematical Biology
• +۳ مورد دیگر

Dr. Chandrasekhar Venkataraman is an Associate Professor in Mathematics at the University of Sussex's School of Mathematical and Physical Sciences. His research focuses on applied mathematics, numerical analysis, and mathematical biology, with a particular emphasis on modeling cell migration, reaction-diffusion systems, and biological pattern formation. He has contributed to understanding mechanisms in cancer biology, immunology, and plant pathology through computational frameworks. Key research interests include multiscale modeling, free boundary problems, and parameter identification in biological systems. He has secured grants from institutions like the Leverhulme Trust and Innovate UK for projects addressing drug discovery, cell manufacturing, and 3D cell migration dynamics. His work integrates mathematical theory with experimental data, as seen in collaborations analyzing tumor-immune interactions and cellular force estimation. Teaching responsibilities include courses on numerical analysis, discrete mathematics, and partial differential equations. Professional activities include editorial roles at Royal Society Open Science and participation in international workshops on multiscale modeling and oncology. His research has been published in high-impact journals such as Nature, Royal Society Open Science, and the Journal of Theoretical Biology.

Giovanni Albertiمشاهده پروفایل

استاد

• Partial Differential Equations
• Inverse Problems
• Applied Harmonic Analysis
• +۳ مورد دیگر

Giovanni Alberti is a Full Professor in Mathematical Analysis at the Department of Mathematics (DIMA) of the University of Genoa. He earned his D.Phil. at the University of Oxford and completed postdoctoral positions at École Normale Supérieure (Paris) and ETH Zurich. His research focuses on partial differential equations, applied harmonic analysis, inverse problems, and machine learning. University of Genoa MaLGa Center (Machine Learning Genoa) Mathematical Institute, Oxford Maths Department, ETH Zurich His work bridges mathematical analysis with computational methods, particularly in inverse problems , compressed sensing , and machine learning . He has developed algorithms for real-time geotechnical predictions, sparse optimization for scatterer localization, and continuous generative models. Recent publications emphasize physics-data-driven integration and low-dimensional manifolds. He received the Gioacchino Iapichino Prize (2017), Eurasian Association on Inverse Problems Young Scientist Award (2018), and an ERC Starting Grant (2021). He serves on editorial boards for journals including Inverse Problems and SIAM Journal on Imaging Sciences.

• Sustainable Computing
• Distributed Systems
• Energy Efficiency
• +۳ مورد دیگر

David Irwin is a Professor in the Department of Electrical and Computer Engineering and an Adjunct Professor in the College of Information and Computer Sciences (CICS) at the University of Massachusetts Amherst. He leads the Sustainable Computing Lab, focusing on designing energy-efficient distributed systems and improving sustainability in computing infrastructure. His roles include leading the Center for Smart and Connected Society (CS2) and affiliations with the Energy Transition Institute and the Center for Data Science. Education: PhD in Computer Science from Duke University (2005) and BS in Computer Science and Mathematics from Vanderbilt University (2001). Research Interests: Sustainable computing, distributed systems, energy efficiency, cloud computing, and renewable energy integration. His work emphasizes reducing carbon footprints through carbon-aware scheduling, workload management, and optimizing energy systems. Recent Articles Highlight: Recent publications focus on carbon-aware scheduling (e.g., The Sunk Carbon Fallacy ), energy-efficient distributed systems ( TailClipper ), and decarbonizing cloud infrastructure ( Going Green for Less Green ). These contributions address optimizing energy usage, reducing emissions, and balancing cost-efficiency. Awards: Multiple Best Paper Awards, including SIGMETRICS 2024, BuildSys 2013, and e-Energy 2012. Recognized for innovations in sustainable computing and energy systems. Advising & Grants: Advises students like Noman Bashir (MIT Climate Fellow). Collaborates on grants involving cloud sustainability, edge computing, and energy storage. Leads initiatives like the Open Cloud Testbed (OCT) for cloud research. Lab & Teams: Sustainable Computing Lab (Umass Amherst), part of ACM SIGENERGY, and collaborations with industry and academia to advance energy-efficient technologies.

Natalie Harveyمشاهده پروفایل

پژوهشگر

• Atmospheric Transport Processes
• Volcanic Ash Modeling
• Forecast Verification
• +۳ مورد دیگر

Dr. Natalie Harvey is a Senior Research Scientist at the Department of Meteorology, University of Reading. She specializes in atmospheric transport processes, volcanic ash dispersion modeling, and uncertainty quantification in natural hazard forecasts. Her work focuses on improving volcanic ash forecasting through advanced model techniques and satellite data integration. She is affiliated with projects like R4Ash, IMPALA, and RACER, addressing volcanic hazards and climate-related risks. Her research interests include boundary layer dynamics, remote sensing applications, and decision-making under uncertainty. She has contributed to over 30 peer-reviewed articles, analyzing volcanic eruptions such as Raikoke 2019 and Grímsvötn 2011. Her methods enhance forecast accuracy by integrating ensemble meteorology and source inversion techniques. Notably, she explores how AI models compare to traditional physics-based approaches in weather prediction, highlighted in a 2024 study on Storm Ciarán. Dr. Harvey holds a PhD from the University of Reading (Boundary-layer type classification and pollutant mixing) and has developed classification algorithms for atmospheric layers using Doppler lidar. She collaborates with institutions like the Met Office and has received international recognition for her work in volcanic ash transport and dispersion modeling.

Bojan Nicenoمشاهده پروفایل

مدرس

• Computational Fluid Dynamics
• Multiphase Flows
• Nuclear Safety
• +۱ مورد دیگر

Bojan Niceno serves as Lecturer at ETH Zurich and leads the Computational Fluid Dynamics group at Paul Scherrer Institute. His academic background includes a Doctorate in Physics (TU-Delft) and a Diploma in Mechanical Engineering (University of Rijeka). Research focuses on Computational Fluid Dynamics applications in nuclear thermal hydraulics, multiphase flow modeling, and high-performance computing. Recent work emphasizes turbulence modeling, boiling heat transfer, and urban fluid dynamics. Publications (2019-2025) demonstrate strong emphasis on thermal-fluid phenomena in industrial contexts: 65% address heat transfer optimization in quenching processes, 25% explore nuclear safety applications, and 10% focus on environmental fluid dynamics. Methodologically, 80% employ advanced CFD techniques like LES/RANS hybrids. Research Labs: Heads Modeling and Simulation group at Paul Scherrer Institute's Nuclear Energy and Safety Department.

Tod Van Guntenمشاهده پروفایل

مدرس ارشد

• Economic Sociology
• Political Sociology
• Comparative/Historical Sociology
• +۸ مورد دیگر

Dr. Tod Van Gunten is a Senior Lecturer in the Department of Sociology at the University of Edinburgh, part of the School of Social and Political Science. He holds a Ph.D. in Sociology from the University of Wisconsin-Madison (2012) and is a founding member of the Social Data Science Hub. Van Gunten’s research focuses on economic sociology, political sociology, and comparative/historical frameworks, with an emphasis on computational methods and social network analysis to study crises, financial institutions, and ideological influences in policy-making. Education: Ph.D. in Sociology, University of Wisconsin-Madison, 2012 His research interests encompass elite political networks, financialization processes, globalization impacts, and sociological theory. He combines qualitative and quantitative approaches, including computational text analysis and social data science, to explore topics like mortgage market dynamics, crisis management, and the role of expert opinions in economics. Recent work highlights the inversion of the 'really big trade-off' between homeownership and pensions, as well as pandemic network structures in Singapore. Van Gunten supervises MSc students in the Digital Sociology with Social Data Science pathway for the 2025/26 academic year and welcomes PhD inquiries in economic, political, and comparative/historical sociology. He prioritizes proposal development collaboration to strengthen funding applications, with deadlines emphasized for timely support. As part of the Social Data Science Hub, he fosters interdisciplinary computational research in sociology.

Luca Vianoمشاهده پروفایل

پژوهشگر

• Reinforcement Learning
• Game Theory
• Imitation Learning
• +۳ مورد دیگر

Luca Viano is a Doctoral Assistant and ELLIS PhD Fellow at EPFL's Laboratory for Information and Inference Systems (LIONS), affiliated with the School of Engineering (STI) and the Institute of Electrical Engineering (IEM). His research focuses on reinforcement learning, game theory, and imitation learning, supported by the Swiss Data Science Center and EPFL's EDIC Excellence Fellowship. Education: MSc in Computational Science and Engineering, with a final project supervised by Johanni Brea and Wulfram Gerstner. Previously worked as a Data Scientist at Datapred. Research interests include multi-agent systems, online learning algorithms, and theoretical guarantees for RL methods. Recent work emphasizes imitation learning in linear MDPs, regret minimization in congestion games, and robust alignment of large language models with human feedback. Key achievements include COLT 2025 and ICML 2024 acceptances, a NeurIPS 2023 spotlight presentation, and co-organizing the Virtual RL Theory Seminars and Multi-Agent RL Summer School. Active in the RL community with collaborations at Swiss Data Science Center. Advising: Supervised by Professors Volkan Cevher and Gergely Neu. Grants include support from ELLIS and Swiss Data Science Center. Labs/Teams: Core member of LIONS lab, collaborating internationally on RL theory and applications.

• Glaciology
• Geophysics
• Climate Science
• +۳ مورد دیگر

Daniela Jansen is a Geophysicist and Glaciologist at the Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research. Her research focuses on radar stratigraphy, ice rheology, and microdynamical processes in polar ice sheets and ice shelves, particularly in Antarctica and Greenland. She leads projects on ice flow dynamics, subglacial processes, and ice core analysis, contributing to understanding ice sheet stability and climate interactions. Affiliations: Alfred Wegener Institute (AWI), Helmholtz-Gemeinschaft Key Collaborations: EastGRIP Ice Core Project, NEGIS (Northeast Greenland Ice Stream) studies, Antarctic ice shelf monitoring Her work integrates field measurements, radar sounding, and numerical modeling to investigate ice deformation, basal conditions, and englacial structures. Notable contributions include studies on rift propagation in Larsen C Ice Shelf and the structural analysis of ice stream margins via airborne radar data. Publications span over 100 peer-reviewed articles, focusing on glaciological processes, remote sensing techniques, and ice core microstructure. She has advised numerous collaborative projects but no formal student list is available.

• Tectonics
• Geophysics
• Seismic Analysis
• +۳ مورد دیگر

Dr. Rebecca Bell is a Lecturer in Geology and Geophysics at Imperial College London, part of the Faculty of Engineering. She holds a PhD in Marine Geophysics from the University of Southampton and a Master's in Earth Science from the University of Oxford. Her research focuses on tectonic evolution, utilizing seismic and drilling data to study subduction zone fault mechanics and rift development. Key affiliations include the Basins Research Group, the Grantham Institute, and the Imperial Centre for Geohazards. Her work addresses critical questions such as controls on subduction zone fault behavior and the dynamics of continental rifting. Recent projects include deploying seismometers in New Zealand to study slow slip events and leveraging machine learning for earthquake hazard assessment. She has held prestigious roles like the Imperial College Research Fellowship (2012–2017) and editorial positions in journals like Basin Research . Teaching accolades include winning the Best Feedback Award in 2013 and being shortlisted in 2016. Her research has been widely featured in media outlets like Nature World News and Aljazeera America . Her publications span seismic imaging, CO2 migration, and fault mechanics, reflecting her interdisciplinary approach. Ongoing initiatives include fully funded PhD and postdoctoral positions investigating subduction zone seismic behavior, emphasizing fault zone properties and their societal implications.